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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Hum. Neurosci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Human Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Hum. Neurosci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1662-5161</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnhum.2026.1738024</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Advances in neuroimaging in cancer-related cognitive impairment</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Li</surname>
<given-names>Jinxin</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Cui</surname>
<given-names>Feiyun</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Yuanshan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Qingting</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zeng</surname>
<given-names>Lijiao</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yulun</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yunxian</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Huang</surname>
<given-names>Jinbai</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1758012"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1263926"/>
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<aff id="aff1"><label>1</label><institution>Nuclear Medicine Department, The First Affiliated Hospital of Yangtze University</institution>, <city>Jingzhou</city>, <state>Hubei</state>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Medical Imaging, Health Science Center, Yangtze University</institution>, <city>Jingzhou</city>, <state>Hubei</state>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Radiology, The First Affiliated Hospital of Yangtze University</institution>, <city>Jingzhou</city>, <state>Hubei</state>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Rehabilitation Radiology, Beijing Rehabilitation Hospital, Capital Medical University</institution>, <city>Beijing</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Jinbai Huang, <email xlink:href="mailto:yzjinbaihuang@163.com">yzjinbaihuang@163.com</email>; Wei Wang, <email xlink:href="mailto:medimawei@bjmu.edu.cn">medimawei@bjmu.edu.cn</email></corresp>
<fn fn-type="equal" id="fn0001"><label>&#x2020;</label><p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-21">
<day>21</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>20</volume>
<elocation-id>1738024</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>30</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Li, Cui, Yang, Zhang, Zeng, Li, Zhang, Huang and Wang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Li, Cui, Yang, Zhang, Zeng, Li, Zhang, Huang and Wang</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-21">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Cancer-related cognitive impairment (CRCI) is a cognitive dysfunction of the brain caused by the tumor itself and antitumor treatments such as radiotherapy, chemotherapy, endocrine therapy, and surgery. As a common complication of cancer, CRCI significantly affects patients&#x2019; quality of life. In recent years, the neurobiological mechanisms of CRCI have garnered widespread attention. Research indicates that cancer-related therapies lead to CRCI by affecting brain structure, function, metabolism, and blood perfusion. Various neuroimaging techniques, including magnetic resonance imaging (MRI), positron emission tomography (PET), and electroencephalography (EEG), have been extensively employed to investigate the neurobiological underpinnings of CRCI. This article reviews recent advancements in neuroimaging research on CRCI, focusing on its influencing factors and the neural mechanisms underlying different cognitive domains, and summarizes findings from relevant animal model studies.</p>
</abstract>
<kwd-group>
<kwd>brain function</kwd>
<kwd>CRCI</kwd>
<kwd>malignant tumors</kwd>
<kwd>neuroimaging</kwd>
<kwd>radiotherapy</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by Beijing Natural Science Foundation (No. L2510040), Jingzhou Joint Research Fund Program (No. 2024LHY15), Jingzhou Science and Technology Program (No. 2024HD68 and 2025HD29), National Natural Science Foundation of China funded projects (No. 12071075) and the National Natural Science Foundation of China funded projects (No. 12471466).</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="79"/>
<page-count count="15"/>
<word-count count="9579"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Brain Imaging and Stimulation</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Cancer ranks as the second leading cause of death in the United States and remains the primary cause of death among individuals under the age of 85. The most recent cancer statistics from 2024 reported approximately 2,001,140 new cancer cases and 611,720 cancer-related deaths in the United States (<xref ref-type="bibr" rid="ref11">Bray et al., 2024</xref>). Studies have reported that, in addition to gastrointestinal disturbances, liver and kidney toxicity, and drug-related allergic reactions, patients with non-central nervous system tumors may also experience neurocognitive decline following cancer therapy. Notably, some patients exhibit cognitive deficits before treatment initiation (<xref ref-type="bibr" rid="ref52">Lv et al., 2020</xref>; <xref ref-type="bibr" rid="ref56">Mayo et al., 2021</xref>; <xref ref-type="bibr" rid="ref67">Parsons and Dietrich, 2019</xref>). Most recently, CRCI has been recognized as a condition caused by both cancer itself and cancer-related treatments. It is primarily characterized by impairments in cognitive abilities such as memory, attention, executive function, etc. These deficits significantly affect the patient&#x2019;s daily life, interpersonal relationships, and overall quality of life (<xref ref-type="bibr" rid="ref35">Horowitz et al., 2019</xref>; <xref ref-type="bibr" rid="ref45">Lange et al., 2019</xref>; <xref ref-type="bibr" rid="ref64">Morgans et al., 2021</xref>). Research suggests that the manifestation of CRCI is likely influenced by a complex interplay of multiple factors, including the treatment regimen, cumulative drug dosage, patient age, genetic background, psychological state, and the tumor itself. Different cognitive domains may correspond to distinct patterns of neural circuit impairment. Concurrently, preclinical animal models of CRCI play an indispensable bridging role in elucidating molecular and cellular mechanisms and testing potential interventions.</p>
<p>This article aims to review the current research progress in the field of CRCI neuroimaging. We will delineate how different treatment modalities and related factors affect the brain through specific pathways, summarize corresponding neuroimaging evidence by cognitive domain, and discuss the value and challenges of animal models in mechanistic research. This review seeks to provide a reference for a deeper understanding of the neural basis of CRCI, the development of objective biomarkers, and the formulation of effective intervention strategies (<xref ref-type="fig" rid="fig1">Figure 1</xref> and <xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Clinical presentation, influencing factors, and intervention modalities of CRCI.</p>
</caption>
<graphic xlink:href="fnhum-20-1738024-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Diagram illustrating factors influencing Cancer-Related Cognitive Impairment (CRCI) with a central brain icon. Top left: Behavioral performance, including attention, memory, and processing speed. Top right: Treatment-related factors, such as chemotherapy and surgery. Bottom left: Other factors, including age and genetic factors. Bottom right: Treatment interventions, like physical activity and cognitive training. Arrows connect each category to the central brain icon.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Summary of studies on neuroimaging techniques for CRCI across various cancer types.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Tumor type</th>
<th align="left" valign="top">Treatment</th>
<th align="left" valign="top">Cognitive assessment</th>
<th align="left" valign="top">Neuroimaging</th>
<th align="char" valign="top" char="&#x00D7;">Time</th>
<th align="char" valign="top" char="&#x00D7;">Key findings</th>
<th align="char" valign="top" char="&#x00D7;">The affected cognitive domains</th>
<th align="char" valign="top" char="&#x00D7;">Were the results independently replicated?</th>
<th align="left" valign="top">References</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">BC</td>
<td align="left" valign="top">Doxorubicin Paclitaxel</td>
<td align="left" valign="top">MMSE<break/>VFT<break/>DS</td>
<td align="left" valign="top">sMRI</td>
<td align="left" valign="top">After chemotherapy</td>
<td align="left" valign="top">Decreased gray matter density was observed in bilateral frontal lobes, right fusiform gyrus and bilateral cerebellum.mechanisms in BC patients</td>
<td align="left" valign="top">Overall cognitive function, verbal fluency and working memory/attention</td>
<td align="left" valign="top">The decrease in gray matter density after chemotherapy has been replicated in multiple studies.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref46">Li et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">BC</td>
<td align="left" valign="top">Adjuvant HT but not chemotherapy</td>
<td align="left" valign="top">FACT-Cog<break/>CES-D<break/>STAI</td>
<td align="left" valign="top">sMRI<break/>fMRI</td>
<td align="left" valign="top">Before treatment, 6&#x202F;months after treatment, 1&#x202F;year after treatment</td>
<td align="left" valign="top">Reduced gray matter volume in the frontal, temporal and parietal lobes and decreased cortical thickness in the prefrontal, parietal and insular cortices.</td>
<td align="left" valign="top">Attention, processing speed and executive function</td>
<td align="left" valign="top">The association between hormone therapy and brain structure changes has been reported multiple times.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref59">McDonald et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">BC</td>
<td align="left" valign="top">3FEC-3&#x202F;T<break/>4EC-4&#x202F;T<break/>4TC<break/>6TEC</td>
<td align="left" valign="top">AVLT<break/>FACT-Cog</td>
<td align="left" valign="top">fMRI<break/>sMRI</td>
<td align="left" valign="top">Before chemotherapy, after chemotherapy</td>
<td align="left" valign="top">Increased ReHo in the right orbitofrontal region and the left dorsolateral prefrontal cortex; decreased ReHo in the cerebellum and the right middle/superior temporal gyrus; alterations in white matter integrity.</td>
<td align="left" valign="top">Memory</td>
<td align="left" valign="top">Part (The ReHo alteration patterns are unique, but WM damage is widely replicated)</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref5">Bai et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">BC</td>
<td align="left" valign="top">MBI<break/>PT<break/>WL</td>
<td align="left" valign="top">Visual-verbal n-back task</td>
<td align="left" valign="top">fMRI</td>
<td align="left" valign="top">Before intervention, after intervention and 3&#x202F;months after intervention</td>
<td align="left" valign="top">The activation in the right middle frontal gyrus and angular gyrus was decreased, while the activation in the right posterior cingulate gyrus was increased.</td>
<td align="left" valign="top">Working memory</td>
<td align="left" valign="top">Still to be verified (mechanistic intervention studies, more repetitions needed)</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref60">Melis et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">BC</td>
<td align="left" valign="top">Doxorubicin<break/>Cyclophosphamide<break/>Docetaxel</td>
<td align="left" valign="top">MoCA<break/>HAMD<break/>AVLT<break/>ANT</td>
<td align="left" valign="top">ASL-MRI</td>
<td align="left" valign="top">Before chemotherapy, after chemotherapy</td>
<td align="left" valign="top">Increased perfusion in brain regions of the alertness and executive control network</td>
<td align="left" valign="top">Attention, memory and executive function</td>
<td align="left" valign="top">This has been supported by PET-CBF studies after chemotherapy</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref13">Chen et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Multiple cancers</td>
<td align="left" valign="top">Methotrexate</td>
<td align="left" valign="top">WRAML<break/>DKEFS</td>
<td align="left" valign="top"><sup>18</sup>F-FDG PET/MRI</td>
<td align="left" valign="top">One to 6&#x202F;years after treatment</td>
<td align="left" valign="top">The SUVmean and CBFmean of the prefrontal cortex and cingulate gyrus decreased.</td>
<td align="left" valign="top">Memory and executive function</td>
<td align="left" valign="top">This study is the first PET/MRI multimodal report and needs to be verified in similar populations</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref6">Baratto et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">DLBCL</td>
<td align="left" valign="top">The CHOP chemotherapy regimen</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top"><sup>18</sup>F-FDG PET/CT</td>
<td align="left" valign="top">After chemotherapy</td>
<td align="left" valign="top">Increased metabolism in the bilateral hippocampus and parahippocampal gyrus, as well as decreased metabolism in the left medial orbitofrontal gyrus and superior frontal gyrus.</td>
<td align="left" valign="top">Not directly evaluated</td>
<td align="left" valign="top">Changes in brain metabolism after chemotherapy have been replicated, but the specific patterns in certain brain regions need to be verified</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref36">Hu et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">NHL</td>
<td align="left" valign="top">Prophylactic intrathecal chemotherapy</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top"><sup>18</sup>F-FDG PET/CT</td>
<td align="left" valign="top">Before chemotherapy and after chemotherapy (median 456&#x202F;days)</td>
<td align="left" valign="top">Metabolism in the parietal lobe and cingulate gyrus increases, while metabolism in deep gray matter nuclei and the brainstem decreases.</td>
<td align="left" valign="top">Not directly evaluated</td>
<td align="left" valign="top">It is confirmed that chemotherapy can cause persistent and multi-brain-region metabolic changes.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref70">Shrot et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">ALL</td>
<td align="left" valign="top">TIT<break/>HDMTX</td>
<td align="left" valign="top">CPT<break/>ANT</td>
<td align="left" valign="top">fMRI</td>
<td align="left" valign="top">After the treatment is over</td>
<td align="left" valign="top">Reduced activation was observed in the right temporal and bilateral frontal&#x2013;parietal regions during the CPT task, while increased activation was noted in the ventral prefrontal cortex and other areas during the ANT alertness task.</td>
<td align="left" valign="top">Attention, alertness, and orientation functions</td>
<td align="left" valign="top">The alteration of task fMRI activation patterns after chemotherapy has been replicated in studies of breast cancer and others.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref29">Fellah et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">ALL</td>
<td align="left" valign="top">CRT</td>
<td align="left" valign="top">WAIS<break/>RCFT<break/>TMT</td>
<td align="left" valign="top">sMRI</td>
<td align="left" valign="top">A median of 34&#x202F;years after diagnosis</td>
<td align="left" valign="top">Microstructural alterations in the fornix, uncinate fasciculus, and ventral anterior cingulate white matter (decreased FA and MK)</td>
<td align="left" valign="top">Memory, visual&#x2013;spatial function, executive function, attention, processing speed</td>
<td align="left" valign="top">Specific white matter tract damage in ALL survivors has been reported multiple times.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref31">Follin et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">ALL</td>
<td align="left" valign="top">Chemotherapy</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top">sMRI</td>
<td align="left" valign="top">Long-term survivors after drug withdrawal</td>
<td align="left" valign="top">Reduced gray matter volume in the lingual gyrus, left middle occipital/middle temporal gyrus, etc.; decreased white matter FA and AD, increased MD and RD.</td>
<td align="left" valign="top">Not directly evaluated</td>
<td align="left" valign="top">Extensive changes in brain structure after chemotherapy, including reduced gray matter volume and decreased white matter integrity, have been repeatedly observed in multiple studies.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref79">Zou et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">LC</td>
<td align="left" valign="top">Platinum-based chemotherapy</td>
<td align="left" valign="top">TMT<break/>BDI<break/>MDRS</td>
<td align="left" valign="top">sMRI</td>
<td align="left" valign="top">Before chemotherapy (NSCLC), 1&#x202F;month after chemotherapy (SCLC)</td>
<td align="left" valign="top">Before chemotherapy, the gray matter density in multiple brain regions of NSCLC patients decreased; after chemotherapy, the gray matter density in the hippocampus and other areas of SCLC patients decreased.</td>
<td align="left" valign="top">Language memory impairment, visual&#x2013;spatial and language fluency</td>
<td align="left" valign="top">Structural brain abnormalities are present in lung cancer patients before treatment, and it is widely supported that key regions such as the hippocampus are affected after chemotherapy.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref71">Sim&#x00F3; et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">LC</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top">CFQ<break/>BDI<break/>STAI</td>
<td align="left" valign="top">sMRI</td>
<td align="left" valign="top">Before chemotherapy</td>
<td align="left" valign="top">Reduced global and local efficiency of the white matter network</td>
<td align="left" valign="top">Subjective cognitive failure, emotion</td>
<td align="left" valign="top">Abnormalities in brain networks before cancer treatment have been reported, but more validation is needed for changes in topological properties.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref49">Liu et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">LC</td>
<td align="left" valign="top">Platinum chemotherapy</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top">MRI</td>
<td align="left" valign="top">After chemotherapy</td>
<td align="left" valign="top">The thickness of the frontal lobe, temporal lobe and insular cortex is reduced.</td>
<td align="left" valign="top">Not directly evaluated</td>
<td align="left" valign="top">The association between platinum-based chemotherapy and cortical thinning has been observed in multiple studies.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref51">Lv et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">LC</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top"><sup>18</sup>F-FDG PET/CT</td>
<td align="left" valign="top">Before chemotherapy</td>
<td align="left" valign="top">Metabolism is elevated in the thalamus, putamen, etc., while it is decreased in the inferior parietal lobule, fusiform gyrus, etc.</td>
<td align="left" valign="top">Not directly evaluated</td>
<td align="left" valign="top">Abnormal brain metabolism in non-CNS cancer patients before treatment has been repeatedly demonstrated by multiple PET studies.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref78">Zhang et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">LC</td>
<td align="left" valign="top">Chemotherapy</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top"><sup>18</sup>F-FDG PET/CT</td>
<td align="left" valign="top">During chemotherapy (after 2&#x2013;4&#x202F;cycles) and 6&#x202F;months after the end of chemotherapy</td>
<td align="left" valign="top">Persistent metabolic abnormalities during chemotherapy; 6&#x202F;months after the end: Abnormalities tend to recover.</td>
<td align="left" valign="top">Not directly evaluated</td>
<td align="left" valign="top">The dynamic patterns of brain metabolic changes during chemotherapy and partial recovery after treatment have been described.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref77">Yu et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">CRC</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top">fMRI</td>
<td align="left" valign="top">Before treatment</td>
<td align="left" valign="top">The ReHo/ALFF/DC values in multiple brain regions such as the postcentral gyrus, middle occipital gyrus, and lingual gyrus decreased.</td>
<td align="left" valign="top">Not directly evaluated</td>
<td align="left" valign="top">Cancer itself can cause changes in brain function activities, but the specific brain region patterns need to be verified in a larger sample of CRCI.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref74">Xu et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">CRC</td>
<td align="left" valign="top">Chemotherapy</td>
<td align="left" valign="top">MMSE<break/>FACT-Cog</td>
<td align="left" valign="top">fMRI</td>
<td align="left" valign="top">After chemotherapy</td>
<td align="left" valign="top">The fALFF in the left anterior cingulate gyrus and middle frontal gyrus decreased; the fALFF in the left superior frontal gyrus (orbital part) and middle occipital gyrus increased.</td>
<td align="left" valign="top">Overall cognitive function, subjective cognitive function</td>
<td align="left" valign="top">To be verified</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref48">Liu et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">CRC</td>
<td align="left" valign="top">CTX</td>
<td align="left" valign="top">TMT<break/>AVLT<break/>GDS</td>
<td align="left" valign="top">ERP<break/>fMRI</td>
<td align="left" valign="top">After chemotherapy</td>
<td align="left" valign="top">The DAN node activity increased, accompanied by focal gray matter volume reduction; ERP P3 amplitude alteration.</td>
<td align="left" valign="top">Attention, processing speed, memory, executive function, emotion</td>
<td align="left" valign="top">It provides the correlation between electrophysiology, imaging and behavior, with a unique pattern that requires independent replication.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref8">Berger et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">PCA</td>
<td align="left" valign="top">Intermittent ADT</td>
<td align="left" valign="top">SOPT<break/>POMS<break/>The Stroop test</td>
<td align="left" valign="top"><sup>18</sup>F-FDG PET/CT</td>
<td align="left" valign="top">Before ADT treatment and 9&#x202F;months after ADT treatment</td>
<td align="left" valign="top">Examine changes in brain metabolism using PET in men undergoing</td>
<td align="left" valign="top">Spatial working memory, verbal memory, emotion, executive function</td>
<td align="left" valign="top">The finding that ADT leads to reduced metabolism in brain regions such as the posterior cingulate gyrus has been supported by subsequent studies.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref14">Cherrier et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">PCA</td>
<td align="left" valign="top">ADT</td>
<td align="left" valign="top">QoL<break/>N-back task</td>
<td align="left" valign="top">sMRI</td>
<td align="left" valign="top">Before ADT treatment and 6&#x202F;months after ADT treatment</td>
<td align="left" valign="top">The thickness of the frontal pole cortex increases.</td>
<td align="left" valign="top">Working memory, quality of life</td>
<td align="left" valign="top">Early cortical thickening in ADT has been reported, which is different from the traditional &#x201C;atrophy&#x201D; hypothesis and requires more research for verification.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref12">Chaudhary et al. (2024)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>BC, breast cancer; HC, healthy controls; MMSE, mini-mental state examination; VFT, verbal Fluency Test; DS, Digit Span; HT, hormonal therapy; FACT-Cog, functional assessment of cancer therapy-cognitive function; CES-D, center for epidemiologic studies-depression scale; STAI, state&#x2013;trait anxiety inventory; 3FEC-3&#x202F;T, (5-fluorouracil&#x202F;+&#x202F;epirubicin&#x202F;+&#x202F;cyclophosphamide)&#x202F;&#x00D7;&#x202F;3paclitaxel&#x202F;&#x00D7;&#x202F;3; 4EC-4&#x202F;T, (Epirubicin&#x202F;+&#x202F;Cyclophosphamide)&#x202F;&#x00D7;&#x202F;4-Paclitaxel&#x202F;&#x00D7;&#x202F;4; 4TC, Docetaxel&#x202F;&#x00D7;&#x202F;4; 6TEC, Paclitaxel&#x202F;+&#x202F;Epirubicin&#x202F;+&#x202F;Cyclophosphamide; AVLT, auditory verbal learning test; MBI, mindfulness; PT, physical training; WL, waitlist control condition; MoCA, the montreal cognitive assessment; HAMD, the hamilton depression rating scale; WRAML, wide range assessment of memory and learning; DKEFS, delis-kaplan executive function system; DLBCL, diffuse large B-cell lymphoma; NHL, non-hodgkin lymphoma; ALL, Acute Lymphoblastic Leukemia; CPT, the continuous performance task; ANT, the attention network task; TIT, triple intrathecal treatments; HDMTX, high-dose methotrexate; CRT, cranial radiotherapy; WAIS, wechsler adult intelligence scale; RCFT, rey complex figure Test; TMT, trail making test; LC:lung cancer; SCLC, small-cell lung cancer; NSCLC, non-small-cell lung cancer; BDI, beck depression inventory; MDRS, mattis dementia rating scale; CFQ, cognitive failure questionnaire; TBSS, tract-based spatial statistics; CRC, colorectal cancer; CTX, Cyclophosphamide; GDS, global deficit scores; ADT, androgen deprivation therapy; PCA, prostate cancer; SOPT, self-ordered pointing test; POMS, the profile of mood states; QoL, quality of life.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec2">
<label>2</label>
<title>Search strategy and criteria</title>
<p>This review was constructed by searching relevant literature in the PubMed database from 2012 to 2024. The search strategy employed keywords such as &#x201C;CRCI,&#x201D; &#x201C;cancer,&#x201D; &#x201C;PET,&#x201D; &#x201C;MRI,&#x201D; &#x201C;chemotherapy,&#x201D; and &#x201C;radiotherapy.&#x201D; For animal model studies, searches were conducted by combining keywords like &#x201C;cancer&#x201D; with &#x201C;brain&#x201D; or &#x201C;central nervous system,&#x201D; and &#x201C;cognition&#x201D; with &#x201C;animal&#x201D; or &#x201C;mouse&#x201D; or &#x201C;rat.&#x201D; During literature screening, duplicates were excluded, and studies not aligned with the focus of this review were filtered out. Two reviewers independently screened the full texts, titles, and abstracts. Ultimately, only representative studies were included (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Common neuroimaging techniques for CRCI.</p>
</caption>
<graphic xlink:href="fnhum-20-1738024-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Silhouette of a human figure with a magnified view of the brain labeled "CRCI" in the center. Three arrows point from the brain to different diagnostic tools: a Multiple MRI scanner, an ECG/MEG monitor, and a PET scanner.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec3">
<label>3</label>
<title>Factors influencing CRCI</title>
<sec id="sec4">
<label>3.1</label>
<title>Neurotoxicity of treatment regimens and dosage</title>
<p>The pathways through which chemotherapeutic agents induce cognitive dysfunction are related to their differential effects on the blood&#x2013;brain barrier, which in turn leads to varied neuroimaging manifestations. Studies indicate that patients treated with anthracycline-containing regimens show significantly elevated serum levels of pro-inflammatory cytokines such as TNF-<italic>&#x03B1;</italic> and IL-6. The levels of these inflammatory markers are significantly associated with increased subjective cognitive complaints and declines in objective neuropsychological test performance (<xref ref-type="bibr" rid="ref17">Cheung et al., 2015</xref>; <xref ref-type="bibr" rid="ref38">Janelsins et al., 2017</xref>).</p>
<p>Platinum-based agents exhibit different properties. The choroid plexus, a key component of the blood-cerebrospinal fluid barrier and the primary site of CSF production, may be involved. Platinum drugs are known primary etiological agents for peripheral neuropathy, with mechanisms potentially involving direct damage to dorsal root ganglia. This damage suggests that platinum drugs may more directly affect the central nervous system microenvironment, subsequently impacting adjacent brain regions such as the hippocampus. Research by Sim&#x00F3; et al. demonstrated decreased gray matter density in multiple brain regions, including temporolimbic structures like the hippocampus and parahippocampal gyrus crucial for cognitive function, in lung cancer patients receiving platinum-based chemotherapy (<xref ref-type="bibr" rid="ref17">Cheung et al., 2015</xref>). This finding directly links drug characteristics to observable structural changes in the human brain.</p>
<p>Studies show that a higher number of courses and doses of methotrexate treatment leads to a decreased prevalence of leukoencephalopathy in acute lymphoblastic leukemia (ALL) survivors after one and a half years (<xref ref-type="bibr" rid="ref68">Reddick et al., 2005</xref>). CSF analysis suggests that long-term elevation of axonal injury markers like myelin basic protein (MBP) in survivors provides molecular-level support for persistent white matter damage (<xref ref-type="bibr" rid="ref16">Cheung et al., 2018</xref>). In neuroimaging, this microstructural damage manifests as alterations in diffusion tensor imaging (DTI) parameters. <xref ref-type="bibr" rid="ref79">Zou et al. (2017)</xref> observed decreased fractional anisotropy (FA) and increased radial diffusivity (RD) in the white matter of ALL survivors who received chemotherapy. Notably, these alterations in white matter integrity and associated cognitive difficulties remain detectable years after treatment cessation, indicating potentially long-term effects. However, studies by Baratto and Shai et al. suggest that high-dose methotrexate in hematologic malignancies like lymphoma may induce more diffuse white matter damage, appearing as reduced glucose metabolism and blood flow in specific brain regions on imaging. They demonstrated that the mean standardized uptake value (SUVmean) and mean cerebral blood flow (CBFmean) in the prefrontal cortex and cingulate gyrus could quantitatively detect executive cognitive function (<xref ref-type="bibr" rid="ref6">Baratto et al., 2024</xref>; <xref ref-type="bibr" rid="ref70">Shrot et al., 2019</xref>). Specific results require further analysis.</p>
<p>Prostate cancer has surpassed lung cancer as the most common cancer in men globally and a leading cause of male cancer death (<xref ref-type="bibr" rid="ref11">Bray et al., 2024</xref>). Research indicates that cognitive dysfunction in male reproductive system cancer patients may be associated with significantly reduced testosterone levels. Testosterone exerts a protective effect against cognitive dysfunction primarily mediated through androgen receptors, involving free radical scavenging and enhanced synaptic plasticity. This is mainly observed in prostate cancer patients undergoing androgen deprivation therapy (ADT) (<xref ref-type="bibr" rid="ref34">Holtfrerich et al., 2020</xref>; <xref ref-type="bibr" rid="ref75">Yan et al., 2019</xref>). ADT is a common treatment for patients with localized prostate cancer or those with a rising PSA after definitive therapy without evidence of metastasis. The frontopolar cortex (FPC) is considered crucial for working memory and other cognitive processes, including planning and managing multiple behavioral goals. <xref ref-type="bibr" rid="ref12">Chaudhary et al. (2024)</xref> found that patients receiving 6&#x202F;months of ADT exhibited increased cortical thickness (CT) in the FPC. Changes in testosterone levels were correlated with changes in FPC thickness and working memory across all participants.</p>
</sec>
<sec id="sec5">
<label>3.2</label>
<title>Psychological factors</title>
<p>Multiple studies have found associations between cognitive impairment and anxiety, depression, sleep disturbances, and post-traumatic stress (<xref ref-type="bibr" rid="ref9">Boscher et al., 2020</xref>; <xref ref-type="bibr" rid="ref25">Dhillon et al., 2018</xref>; <xref ref-type="bibr" rid="ref66">Ng et al., 2018</xref>). Furthermore, the immense psychological stress following a cancer diagnosis can lead to declines in both subjective patient evaluations and neuropsychological test performance. Although specific neuroimaging markers for these symptoms are still under exploration, they should be controlled as covariates during analysis to distinguish emotion-related from treatment-specific brain alterations.</p>
</sec>
<sec id="sec6">
<label>3.3</label>
<title>Age and genetics</title>
<p>Beyond psychological factors, age may also contribute to cognitive decline. Cancer might accelerate normal aging due to increased DNA damage and reduced repair capacity, limiting cognitive reserve and brain reorganization in cancer patients (<xref ref-type="bibr" rid="ref54">Mandelblatt et al., 2013</xref>). Studies show that compared to untreated patients and controls, older breast cancer patients receiving chemotherapy had poorer baseline cognitive reserve and more severe CRCI, particularly in processing speed (<xref ref-type="bibr" rid="ref2">Ahles et al., 2010</xref>). Additionally, age-related declines in hormone levels have been found to play a role in CRCI, as anti-hormone therapies can amplify cognitive dysfunction induced by hormonal fluctuations in elderly cancer patients (<xref ref-type="bibr" rid="ref33">Harrison et al., 2021</xref>). In neuroimaging analysis, age-related brain changes, such as natural hippocampal volume reduction, are strong confounding factors that must be statistically controlled; otherwise, they may mask or exaggerate treatment-specific effects.</p>
<p>Genetics also contribute to a patient&#x2019;s risk of developing CRCI. Research indicates that genes for catechol-O-methyltransferase (COMT), apolipoprotein E (APOE), and brain-derived neurotrophic factor (BDNF) are closely linked to the occurrence of CRCI. Individuals with these specific genetic variants appear more susceptible to CRCI (<xref ref-type="bibr" rid="ref32">Gonzalez et al., 2015</xref>; <xref ref-type="bibr" rid="ref40">Kautiainen et al., 2023</xref>).</p>
</sec>
</sec>
<sec id="sec7">
<label>4</label>
<title>Neuroimaging research Progress in CRCI by cognitive domain</title>
<sec id="sec8">
<label>4.1</label>
<title>Attention</title>
<p>Attention is fundamental to cognitive function. Multiple studies report that cancer treatment, particularly chemotherapy, is associated with subjective complaints and objective test performance declines in attention among patients. Neuropsychological studies show impaired attention in breast cancer patients on tasks like the Continuous Performance Test (CPT) post-chemotherapy. Event-related potential (ERP) studies observe reduced amplitude of the P3 (P300) component in these patients (<xref ref-type="bibr" rid="ref39">Kam et al., 2016</xref>). EEGstudies also find abnormal brain electrical activity in chemotherapy patients (<xref ref-type="bibr" rid="ref63">Moore et al., 2014</xref>). fMRIresearch indicates altered activation patterns in brain regions like the prefrontal cortex during working memory or attention tasks post-chemotherapy (<xref ref-type="bibr" rid="ref58">McDonald et al., 2012</xref>). In pediatric ALL patients, <xref ref-type="bibr" rid="ref29">Fellah et al. (2019)</xref> also found treatment-related alterations in brain activation patterns during attention tasks. Patient self-reported attention problems are common. A large-scale study found a significant increase in subjective cognitive complaints in breast cancer patients after chemotherapy (<xref ref-type="bibr" rid="ref38">Janelsins et al., 2017</xref>). However, the correlation between subjective cognitive complaints and objective neuropsychological test results is often low, suggesting these methods may reflect different dimensions of cognitive impairment or be influenced by different factors. <xref ref-type="bibr" rid="ref41">Kesler (2014)</xref> using resting-state fMRI, found altered functional connectivity in brain networks, with the default mode network (DMN) potentially serving as a biomarker in breast cancer patients post-chemotherapy. DTI studies consistently report decreased white matter microstructural integrity in breast cancer patients after chemotherapy, manifested as reduced FA, and this white matter damage correlates with declines in cognitive test performance for attention and processing speed (<xref ref-type="bibr" rid="ref23">Deprez et al., 2011</xref>; <xref ref-type="bibr" rid="ref65">Mzayek et al., 2021</xref>). Chen, using arterial spin labeling (ASL), found changes in cerebral blood flow (CBF) in attention network-related brain regions in breast cancer patients receiving neoadjuvant chemotherapy (<xref ref-type="bibr" rid="ref13">Chen et al., 2017</xref>). Findings suggest that cognitive impairment patterns may differ across cancer types. Research has observed glucose metabolism abnormalities in attention-related brain regions like the thalamus in untreated lung cancer patients (<xref ref-type="bibr" rid="ref78">Zhang et al., 2016</xref>). In contrast, cognitive impairment in breast cancer patients is often associated with specific chemotherapy regimens, such as those containing anthracyclines (<xref ref-type="bibr" rid="ref42">Kesler and Blayney, 2016</xref>).</p>
</sec>
<sec id="sec9">
<label>4.2</label>
<title>Executive function</title>
<p>Executive function encompasses cognitive flexibility, working memory, inhibitory control, and planning ability. It is one of the most commonly affected and functionally significant cognitive domains in CRCI. Neuroimaging studies indicate that executive dysfunction is closely associated with structural and functional abnormalities in the prefrontal cortex and its related networks (<xref ref-type="bibr" rid="ref45">Lange et al., 2019</xref>). Research confirms that cancer treatment correlates with multi-dimensional impairment of executive function. Studies collecting test results like Digit Span and Verbal Fluency in breast cancer patients post-chemotherapy have demonstrated chemotherapy-related executive function impairment, linked to decreased gray matter density in prefrontal regions such as the right middle frontal gyrus (<xref ref-type="bibr" rid="ref46">Li et al., 2018</xref>). Furthermore, prostate cancer patients receiving ADT show reduced capacity on the n-back task assessing working memory (<xref ref-type="bibr" rid="ref12">Chaudhary et al., 2024</xref>). These behavioral deficits directly reflect patient-reported declines in quality of life and daily functioning difficulties.</p>
<p>sMRI studies provide crucial anatomical bases for executive function impairment. Voxel-based morphometry (VBM) analysis shows significant reductions in gray matter density in the dorsolateral and ventrolateral prefrontal cortices of breast cancer patients receiving chemotherapy, with this structural change correlating with cumulative chemotherapy dose (<xref ref-type="bibr" rid="ref46">Li et al., 2018</xref>). fMRI further reveals abnormal neural activity patterns in the prefrontal cortex during working memory tasks in chemotherapy patients. Some studies observe task-related hyperactivation, suggesting a compensatory mechanism reflecting decreased neural processing efficiency, where the brain recruits additional resources to maintain cognitive performance (<xref ref-type="bibr" rid="ref58">McDonald et al., 2012</xref>).</p>
<p>The execution of executive functions relies on circuitry involving the prefrontal cortex and subcortical structures (e.g., striatum, thalamus) and the coordination of large-scale brain networks. DTI data indicate significantly decreased white matter tract integrity in brain regions like the frontal, parietal, and occipital lobes post-chemotherapy in breast cancer patients, manifested as reduced FA. Moreover, the degree of this white matter damage significantly correlates with declines in performance on cognitive tests of attention, processing speed, and memory (<xref ref-type="bibr" rid="ref23">Deprez et al., 2011</xref>). Rs-fMRIreveals long-term effects of chemotherapy on brain function at the network level. Studies find significantly weakened functional connectivity within the executive control network (ECN) in breast cancer patients after chemotherapy. This abnormal network connectivity change significantly correlates with poorer performance on neuropsychological tests of executive function (<xref ref-type="bibr" rid="ref72">Wang et al., 2016</xref>). This finding suggests that functional dysregulation of large-scale brain networks is a key aspect in understanding the neural mechanisms of executive dysfunction. It provides potential neuroimaging biomarkers for future development of preventive cognitive interventions or adjustment of treatment strategies. Clarifying the specific neurotoxic pathways of different treatment modalities is crucial for developing targeted neuroprotective strategies and achieving personalized cognitive risk management.</p>
</sec>
<sec id="sec10">
<label>4.3</label>
<title>Memory</title>
<p>Episodic memory is particularly impaired in CRCI. Multiple studies show declines in memory indices like delayed recall on neuropsychological tests such as the Auditory Verbal Learning Test (AVLT) in breast cancer patients receiving chemotherapy (<xref ref-type="bibr" rid="ref45">Lange et al., 2019</xref>; <xref ref-type="bibr" rid="ref57">McDonald et al., 2010</xref>). sMRI studies have found chemotherapy associated with reduced gray matter volume or density in several brain regions, including the hippocampus. As a core structure for episodic memory formation, structural alterations in the hippocampus are a significant reason for impaired memory encoding, consolidation, or retrieval in CRCI patients (<xref ref-type="bibr" rid="ref76">Yao et al., 2023</xref>). Animal model research by <xref ref-type="bibr" rid="ref73">Winocur et al. (2014)</xref> further supports this. Studies show that common chemotherapeutic agents like cyclophosphamide and doxorubicin inhibit hippocampal neurogenesis and correlate with deficits in animals on hippocampus-dependent memory tasks.</p>
<p>Working memory, as a temporary storage system for online information maintenance and manipulation, is also affected in CRCI (<xref ref-type="bibr" rid="ref45">Lange et al., 2019</xref>). fMRI studies have revealed the neural basis of working memory impairment from the perspective of brain functional activity (<xref ref-type="bibr" rid="ref57">McDonald et al., 2010</xref>). Research finds altered activation patterns in prefrontal and parietal brain regions associated with working memory when cancer patients perform tasks like the n-back task (<xref ref-type="bibr" rid="ref41">Kesler, 2014</xref>). Some studies observe that patients need to recruit additional brain resources or exhibit different activation patterns under high cognitive load, which may indicate decreased neural processing efficiency&#x2014;the brain working harder to maintain performance (<xref ref-type="bibr" rid="ref4">Askren et al., 2014</xref>). Rs-fMRI studies also find altered functional connectivity within the frontoparietal network responsible for working memory, including connections between the prefrontal and posterior parietal cortices (<xref ref-type="bibr" rid="ref72">Wang et al., 2016</xref>).</p>
<p><xref ref-type="bibr" rid="ref43">Kesler et al. (2013)</xref> using magnetic resonance spectroscopy (MRS), found changed metabolite concentrations in brain regions like the prefrontal cortex in breast cancer patients post-chemotherapy, with elevated choline and myo-inositol and a decreased N-acetylaspartate (NAA)-to-choline rati. These metabolic changes may reflect neuroinflammation, glial activation, or impaired neuronal/axonal integrity and correlate with patients&#x2019; subjective memory complaints. PET studies have shown altered glucose metabolism in memory-related brain regions like the posterior cingulate gyrus after ADT (<xref ref-type="bibr" rid="ref14">Cherrier et al., 2018</xref>). Similarly, DTI shows chemotherapy can impair white matter microstructural integrity. Damage to white matter pathways connecting the hippocampus, such as the fornix and cingulum bundle, may directly disrupt neural circuits for memory information transfer (<xref ref-type="bibr" rid="ref31">Follin et al., 2019</xref>).</p>
<p>The dynamic evolution of memory impairment presents a complex temporal pattern. Research indicates cognitive deficits may appear during or shortly after chemotherapy. While symptoms improve over time for some patients, cognitive issues persist long-term for others (<xref ref-type="bibr" rid="ref38">Janelsins et al., 2017</xref>). Recovery potential may be influenced by various factors, including age, baseline cognitive function, and treatment regimen (<xref ref-type="bibr" rid="ref45">Lange et al., 2019</xref>). Currently, research exploring CRCI management strategies is ongoing. Animal model studies suggest interventions like physical exercise may improve chemotherapy-induced memory deficits by promoting hippocampal neurogenesis and enhancing synaptic plasticity (<xref ref-type="bibr" rid="ref73">Winocur et al., 2014</xref>). n clinical research, cognitive training and physical exercise have emerged as potential non-pharmacological interventions to help patients cope with cognitive difficulties and improve quality of life (<xref ref-type="bibr" rid="ref10">Bray et al., 2017</xref>).</p>
</sec>
<sec id="sec11">
<label>4.4</label>
<title>Information processing speed</title>
<p>Processing speed, a fundamental cognitive process, is commonly impaired in CRCI and likely broadly impacts other cognitive functions. Neuroimaging research provides important insights into this impairment, revealing underlying white matter microstructural alterations and brain network dysfunction (<xref ref-type="bibr" rid="ref45">Lange et al., 2019</xref>). Patients often show performance declines on standardized neuropsychological tests assessing processing speed, such as Part A of the Trail Making Test and the Digit Symbol Substitution Test (<xref ref-type="bibr" rid="ref20">Collins et al., 2014</xref>). From a network neuroscience perspective, efficient information processing relies on the overall coordination of brain structural and functional networks. Studies find altered topological properties of brain networks in CRCI patients. Specifically, global efficiency, measuring overall information transfer between different brain regions, tends to decrease. Concurrently, the optimal small-world network property&#x2014;maintaining tight local connections while enabling efficient long-range communication between different brain regions&#x2014;is weakened in CRCI patients, indicating their brain networks may deviate from the optimal pattern for information integration and processing (<xref ref-type="bibr" rid="ref3">Amidi et al., 2017</xref>; <xref ref-type="bibr" rid="ref49">Liu et al., 2022</xref>). These network-level changes imply less efficient and fluid information exchange between brain regions, explaining the slowing of processing speed.</p>
</sec>
<sec id="sec12">
<label>4.5</label>
<title>Language function</title>
<p>Compared to memory and processing speed, language dysfunction has received relatively less attention in CRCI research, yet its impact may involve multiple levels from lexical retrieval to pragmatic communication. The Controlled Oral Word Association Test (COWA), included in the core assessment battery recommended by the International Cognition and Cancer Task Force (ICCTF), assesses verbal fluency, indicating lexical retrieval deficits are a measurable dimension of CRCI. Clinical observations and patient self-reports also note problems like word-finding difficulties and comprehension issues in complex situations, potentially affecting daily communication and quality of life (<xref ref-type="bibr" rid="ref24">Deprez et al., 2018</xref>). Language dysfunction poses a potential threat to patients&#x2019; social interaction, occupational ability, and mental health, potentially exacerbating perceived cognitive decline and risk, especially in elderly patients (<xref ref-type="bibr" rid="ref45">Lange et al., 2019</xref>). Currently, specific research on language impairment in CRCI remains insufficient. Future studies need to utilize multimodal neuroimaging techniques combined with refined language tasks to systematically elucidate its neural mechanisms and provide a basis for developing targeted rehabilitation strategies.</p>
</sec>
</sec>
<sec id="sec13">
<label>5</label>
<title>Neuroimaging studies in animal models of CRCI</title>
<p>In clinical settings, besides the tumor itself and cancer treatment, many factors may influence cognitive function, including comorbidities, age, cancer type, disease progression, differences in baseline cognitive testing, and treatment regimens. Establishing animal models of CRCI allows direct control of these variables (<xref ref-type="bibr" rid="ref22">Demos-Davies et al., 2024</xref>). Since experimental animals are genetically identical, preclinical studies can control strain, sex, and environment to assess the neurotoxic effects of single cancer therapeutic agents, characterize the underlying mechanisms of cognitive deficits observed in cancer patients, and identify cognitive domains affected by cancer treatment (<xref ref-type="bibr" rid="ref55">Matsos and Johnston, 2019</xref>). Currently, animal models have been used to study the impact of cancer treatment on cognitive function, with neuroimaging techniques employed for monitoring. Findings indicate that CRCI animal models are crucial for elucidating CRCI mechanisms and exploring treatments (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Animal models used for CRCI research.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Animal</th>
<th align="left" valign="top">No. of models</th>
<th align="left" valign="top">Treatment</th>
<th align="left" valign="top">Cognitive assessment</th>
<th align="left" valign="top">Neuroimaging</th>
<th align="left" valign="top">Main outcomes</th>
<th align="left" valign="top">References</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">APOE4 targeted-replacement C57BL/6&#x202F;J mice</td>
<td align="left" valign="top">31</td>
<td align="left" valign="top">Single dose of 5&#x202F;mg/kg IP DOX</td>
<td align="left" valign="top">Open Field Task, Elevated Zero Maze, Pre-Pulse Inhibition, Pre-Pulse Inhibition, Fear Conditioning.</td>
<td align="left" valign="top">VBM</td>
<td align="left" valign="top">Cognitive deficits observed in aged APOE4 knock-in mice following doxorubicin administration</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref21">Demby et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Female Sprague&#x2013;Dawley rats</td>
<td align="left" valign="top">60</td>
<td align="left" valign="top">Single dose of 4&#x202F;mg/kg IP DOX, 5&#x202F;mg/kg IP donepezil</td>
<td align="left" valign="top">The Morris water maze test</td>
<td align="left" valign="top"><sup>18</sup>F-FDG PET/CT</td>
<td align="left" valign="top">Donepezil is clinically useful for addressing cognitive impairments that occur following chemotherapy</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref47">Lim et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Female Sprague&#x2013;Dawley rats</td>
<td align="left" valign="top">18</td>
<td align="left" valign="top">Single dose of 1&#x202F;mg/kg DOX via tail vein</td>
<td align="left" valign="top">Novel object recognition and Contextual fear conditioning</td>
<td align="left" valign="top"><sup>18</sup>F-FDG PET/CT, MRI</td>
<td align="left" valign="top">Impairment of prefrontal cortex may be one of the mechanisms underlying the occurrence of the DOX model of chemotherapy-induced cognitive dysfunction</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref7">Barry et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Female, BALB/c mice</td>
<td align="left" valign="top">36</td>
<td align="left" valign="top">Single dose of 0.75&#x202F;mg/kg IP MTX, a single 16&#x202F;Gy fraction of orthovoltage ionizing radiation</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top"><sup>18</sup>F-FDG PET/CT</td>
<td align="left" valign="top">Radiation can trigger substantial brain bystander effects in areas remote from the directly irradiated cells and tissues</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref28">Feiock et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Female Long-Evans rats</td>
<td align="left" valign="top">38</td>
<td align="left" valign="top">37.5&#x202F;mg/kg IP MTX&#x202F;+&#x202F;50&#x202F;mg/kg 5-FU (once a week)</td>
<td align="left" valign="top">Spatial memory, cued memory, non-matching to sample rule learning; delayed non-matching to sample rule learning</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top">Exercise in preventing or treating cognitive impairment associated with chemotherapy is benefit</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref73">Winocur et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Wistar female rats</td>
<td align="left" valign="top">40</td>
<td align="left" valign="top">Every day 5&#x202F;mg/kg cotinine</td>
<td align="left" valign="top">Novel location recognition test, Porsolt&#x2019;s forced swim test, Rotarod</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top">Treatment with cotinine may facilitate the recovery and diminish the cognitive consequences of chemotherapy</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref37">Iarkov et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Male Lister-hooded rats</td>
<td align="left" valign="top">48</td>
<td align="left" valign="top">A single dose of 10&#x202F;mg/kg of fluoxetine</td>
<td align="left" valign="top">Novel location recognition</td>
<td align="left" valign="top">None</td>
<td align="left" valign="top">Fluoxetine can protect newly born hippocampal neurons from the cytotoxic effects of 5-FU</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref53">Lyons et al. (2012)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>APOE, the apolipoprotein E; IP, intraperitoneal; DOX, doxorubicin; VBM, voxel-based morphometry; MTX, Methotrexate; 5-FU, 5-Fluorouracil.</p>
</table-wrap-foot>
</table-wrap>
<sec id="sec14">
<label>5.1</label>
<title>Common animal models</title>
<p><xref ref-type="bibr" rid="ref47">Lim et al. (2016)</xref> found reduced glucose metabolism in the medial prefrontal cortex and hippocampus of rats treated with doxorubicin or cyclophosphamide. <xref ref-type="bibr" rid="ref7">Barry et al. (2018)</xref> found decreased <sup>18</sup>F-FDG uptake in the prefrontal cortex of rats 30&#x202F;days after doxorubicin treatment, consistent with Lim&#x2019;s findings. The doxorubicin/cyclophosphamide model simulates the anthracycline/alkylating agent combination chemotherapy commonly used in cancers like breast cancer. Animals receiving a single intraperitoneal injection of doxorubicin or cyclophosphamide showed significant impairment in episodic memory, spatial learning and memory, and contextual fear memory on behavioral tests like novel object recognition, Morris water maze, and fear conditioning. These behavioral phenotypes highly correspond to memory decline and executive dysfunction reported by clinical patients. Behavioral abnormalities occurred 1&#x2013;4&#x202F;weeks post-administration and could last months, simulating subacute cognitive impairment in the clinic. <xref ref-type="bibr" rid="ref73">Winocur et al.&#x2019;s (2014)</xref> rat antimetabolite model simulates treatments for colorectal cancer, lymphoma, and leukemia. Animals exhibited impairment in spatial working memory, reversal learning, and executive function, resembling the phenotypes of decreased processing speed and cognitive flexibility in clinical patients. Concurrently, mouse methotrexate models are used to simulate cognitive sequelae in pediatric ALL patients after high-dose methotrexate, showing long-term white matter damage and cognitive deficits (<xref ref-type="bibr" rid="ref60">Melis et al., 2023</xref>). Cisplatin models can induce mitochondrial dysfunction and oxidative stress, with animals showing impaired performance on spatial memory and cognitive flexibility tasks, consistent with clinically observed cisplatin-related cognitive side effects (<xref ref-type="bibr" rid="ref50">Lomeli et al., 2017</xref>).</p>
</sec>
<sec id="sec15">
<label>5.2</label>
<title>Common models and their clinical relevance</title>
<p>Neuroimaging in animal models is primarily used for non-invasive monitoring of dynamic changes in brain structure and function, correlating with behavior. Findings show both overlap and differences with clinical studies.</p>
<p>Animal PET shows significantly reduced glucose metabolism in the medial prefrontal cortex and hippocampus of rats treated with doxorubicin or cyclophosphamide, consistent with clinical ^18^F-FDG PET results. These two brain regions are crucial for human cognition, especially executive function and episodic memory, making their hypometabolism a potentially cross-species consistent imaging marker for CRCI. Additionally, research confirms chemotherapy can inhibit neurogenesis in the hippocampal dentate gyrus (<xref ref-type="bibr" rid="ref19">Christie et al., 2012</xref>; <xref ref-type="bibr" rid="ref26">Dubois et al., 2014</xref>). This finding supports indirect clinical imaging observations of hippocampal volume reduction and altered functional connectivit (<xref ref-type="bibr" rid="ref30">Feng et al., 2020</xref>)<sup>,</sup> suggesting the hippocampus is a key target of chemotherapy neurotoxicity, and neurogenesis inhibition is a key mechanism in cognitive impairment. TSPO-PET studies suggest neuroinflammation involvement in CRCI (<xref ref-type="bibr" rid="ref69">Schroyen et al., 2022</xref>)<sup>,</sup> Animal models provide direct histological evidence that chemotherapy activates microglia, increasing pro-inflammatory cytokine expression in the hippocampus and prefrontal cortex, offering an explanation for clinically observed phenomena (<xref ref-type="bibr" rid="ref18">Chiu et al., 2017</xref>).</p>
<p>However, while clinical DTI studies report widespread decreases in white matter microstructural integrity (<xref ref-type="bibr" rid="ref23">Deprez et al., 2011</xref>; <xref ref-type="bibr" rid="ref62">Menning et al., 2018</xref>)<sup>,</sup> animal DTI models, although also showing white matter changes, present spatial patterns, severity, and associations with cognitive domains that are difficult to compare directly with human studies. This may be due to fundamental differences in white matter structure complexity, proportion, and function between rodents and humans. Secondly, fMRI studies reveal complex alterations in large-scale brain network connectivity in human (<xref ref-type="bibr" rid="ref42">Kesler and Blayney, 2016</xref>; <xref ref-type="bibr" rid="ref72">Wang et al., 2016</xref>). Although functional networks exist in rodents, their lower homology and complexity compared to humans limit direct study of these advanced brain network disorders and their association with specific cognitive symptoms in animal models.</p>
<p>An important feature of CRCI is that cognitive impairment persists for years or even decades in some patients, becoming a chronic sequela. Currently, animal models capable of simulating such long-term progressive impairment are scarce. One study used APOE4 gene-replaced mice treated with doxorubicin to simulate the interaction between genetic risk factors and chemotherapy, observing more persistent cognitive impairment and brain structural changes in aged mice (<xref ref-type="bibr" rid="ref21">Demby et al., 2020</xref>)<sup>,</sup> providing ideas for modeling high-risk subgroups. Overall, current models still have shortcomings in simulating the heterogeneity of human CRCI, its long-term dynamic evolution, and its comorbidities with the chronic disease state of cancer.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec16">
<label>6</label>
<title>Discussion</title>
<p>A core and pervasive phenomenon in CRCI research is the inconsistency between patients&#x2019; subjective cognitive complaints and objective neuropsychological test results. A deep understanding of this inconsistency is crucial for elucidating the nature of CRCI and guiding clinical practice. Studies find that over 50% of breast cancer patients report cognitive problems after chemotherapy, but only about 15&#x2013;25% show objective cognitive decline on standardized tests (<xref ref-type="bibr" rid="ref1">Ahles et al., 2012</xref>). This discrepancy may arise from multiple mechanisms. Psychological and physiological factors, including states of anxiety, depression, fatigue, and insomnia, can significantly amplify patients&#x2019; perception of cognitive problems, while these factors have a relatively smaller impact on objective test performance (<xref ref-type="bibr" rid="ref25">Dhillon et al., 2018</xref>). Therefore, subjective cognition largely reflects patients&#x2019; emotional distress and overall symptom burden. Neuroimaging research provides key information: even when patients perform normally on structured tests, their brains may have undergone compensatory changes. fMRI results show that patients may require additional brain region involvement or exhibit different activation patterns to maintain performance during cognitive tasks (<xref ref-type="bibr" rid="ref61">Menning et al., 2017</xref>). This suggests that &#x201C;normal&#x201D; scores on objective tests may mask underlying decreased neural efficiency. More importantly, this inconsistency may reveal distinct neurocognitive phenotypes within CRCI itself. Just as <xref ref-type="bibr" rid="ref27">Fan et al. (2023)</xref> identified subtypes in anxiety disorders characterized by impulsivity, each with markedly different brain structures, genetic risks, and clinical trajectories, similar subtypes may exist among CRCI patients. These subtypes exhibit varying sensitivities to neuropsychological testing, naturally leading to discrepancies between subjective and objective assessments. Consequently, multidimensional assessment is crucial for CRCI diagnosis, emphasizing the necessity of integrated evaluation using tools like the FACT-Cog scale that combine subjective reports and objective testing, with both being indispensable (<xref ref-type="bibr" rid="ref15">Cheung et al., 2014</xref>). Subjective assessment reflects patients&#x2019; functional distress and quality of life impact, while objective testing provides a standardized measure of cognitive ability. Furthermore, assessment results should be interpreted considering individual baselines, educational background, and occupational demands. Even minor objective impairment can be significant for the individual. Most importantly, patients&#x2019; subjective cognitive complaints themselves are a valid and important clinical intervention target, regardless of accompanying objective impairment, as they directly relate to patients&#x2019; quality of life and functional status.</p>
<p>In a doxorubicin-induced rat CRCI model, administration of the cholinesterase inhibitor donepezil not only improved animals&#x2019; spatial learning and memory in the Morris water maze but also reversed the chemotherapy-induced reduction in glucose metabolism in the medial prefrontal cortex and hippocampus (<xref ref-type="bibr" rid="ref47">Lim et al., 2016</xref>). This coupling of behavioral improvement and cerebral metabolic normalization provides strong preclinical evidence for CRCI treatment. In a 5-fluorouracil rat model, the selective serotonin reuptake inhibitor fluoxetine prevented chemotherapy-induced suppression of hippocampal neurogenesis and improved novel object recognition memory (<xref ref-type="bibr" rid="ref53">Lyons et al., 2012</xref>), suggesting efficacy through protecting neural plasticity. Cotinine, the primary metabolite of nicotine, when administered post-chemotherapy to rats, showed improved memory and reduced depression-like behavior (<xref ref-type="bibr" rid="ref37">Iarkov et al., 2016</xref>), with mechanisms potentially involving anti-inflammatory and neuroprotective effects. Both preventive and therapeutic interventions in animal studies show efficacy, suggesting a potentially large clinical intervention window, valuable from pre-treatment prevention to post-treatment phases. Different intervention strategies and targets should be selected for different timings.</p>
</sec>
<sec sec-type="conclusions" id="sec17">
<label>7</label>
<title>Conclusion</title>
<p>This article systematically reviews advances in neuroimaging research on CRCI. Regarding influencing factors, different treatment regimens&#x2014;such as anthracyclines, platinum-based agents, methotrexate, and ADT&#x2014;produce specific neurotoxicity through pathways like inflammation, white matter damage, metabolic alterations, and hormonal fluctuations. Psychological and genetic factors also play significant roles. In terms of cognitive neural mechanisms, impairments in attention, executive function, memory, and processing speed are associated with structural abnormalities in brain regions like the prefrontal cortex and hippocampus, decreased white matter integrity, and altered functional connectivity in large-scale brain networks. Animal models partially replicate clinical phenotypes and key mechanisms but still face translational limitations. Future clinical trials should not merely aim to demonstrate improved cognitive test scores but also consider modulating specific pathophysiological pathways. For example, targeting neuroinflammation using TSPO-PET as a biomarker, or for neurogenesis disorder, exploring drug trials with serum or imaging biomarkers. Efforts must also be made to link macroscopic imaging changes with microscopic pathological processes. For example, alterations in cortical surface area and thickness may correspond to distinct cellular mechanisms (<xref ref-type="bibr" rid="ref44">Kuang et al., 2023</xref>). Furthermore, drawing from animal research, future studies should concurrently assess behavior and combine it with imaging techniques, adopting a joint assessment approach that includes subjective reports, objective neuropsychological testing, and neuroimaging biomarkers. This is because imaging biomarker changes may indicate target engagement and early efficacy more sensitively and earlier than behavioral changes.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="sec18">
<title>Author contributions</title>
<p>JL: Writing &#x2013; original draft. FC: Writing &#x2013; original draft. YY: Formal analysis, Writing &#x2013; original draft. QZ: Supervision, Writing &#x2013; original draft. LZ: Project administration, Writing &#x2013; original draft. YL: Validation, Writing &#x2013; original draft. YZ: Formal analysis, Writing &#x2013; original draft. JH: Writing &#x2013; review &#x0026; editing. WW: Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="sec19">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec20">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec21">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0002"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/362258/overview">Salem Hannoun</ext-link>, American University of Beirut, Lebanon</p></fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0003"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2118129/overview">Rohan Gupta</ext-link>, Galgotias University, India</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2965559/overview">Nanyu Kuang</ext-link>, National Institutes of Health (NIH), United States</p></fn>
</fn-group>
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