Front. Bioeng. Biotechnol.Frontiers in Bioengineering and BiotechnologyFront. Bioeng. Biotechnol.2296-4185Frontiers Media S.A.75129110.3389/fbioe.2022.751291Bioengineering and BiotechnologyOriginal ResearchSensitivity of the Cervical Disc Loads, Translations, Intradiscal Pressure, and Muscle Activity Due to Segmental Mass, Disc Stiffness, and Muscle Strength in an Upright Neutral PostureArshad et al.Sensitivity of Cervical Disc LoadsArshadRizwan1*SchmidtHendrik2El-RichMarwan3MogloKodjo11Biomechanics Laboratory, Department of Mechanical and Aerospace Engineering, Royal Military College of Canada, Kingston, ON, Canada2Julius Wolff Institute, Berlin Institute of Health, Charité—Universitätsmedizin Berlin, Berlin, Germany3Healthcare Engineering Innovation Center, Department of Mechanical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates
Edited by:Yang Liu, Hong Kong Polytechnic University, Hong Kong SAR, China
Reviewed by:Sabine Bauer, University of Koblenz and Landau, Germany
Eric Wagnac, École de Technologie Supérieure (ÉTS), Canada
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Musculoskeletal disorders of the cervical spine have increased considerably in recent times. To understand the effects of various biomechanical factors, quantifying the differences in disc loads, motion, and muscle force/activity is necessary. The kinematic, kinetic, or muscle response may vary in a neutral posture due to interindividual differences in segmental mass, cervical disc stiffness, and muscle strength. Therefore, our study aimed to develop an inverse dynamic model of the cervical spine, estimate the differences in disc loads, translations, intradiscal pressure, and muscle force/activity in a neutral posture and compare these results with data available in the literature. A head–neck complex with nine segments (head, C1–T1) was developed with joints having three rotational and three translational degrees of freedom, 517 nonlinear ligament fibers, and 258 muscle fascicles. A sensitivity analysis was performed to calculate the effect of segmental mass (5th to 95th percentile), translational disc stiffness (0.5–1.5), and muscle strength (0.5–1.5) on the cervical disc loads (C2–C3 to C7–T1), disc translations, intradiscal pressure, and muscle force/activity in a neutral posture. In addition, two axial external load conditions (0 and 40 N) were also considered on the head. The estimated intradiscal pressures (0.2–0.56 MPa) at 0 N axial load were comparable to in vivo measurements found in the literature, whereas at 40 N, the values were 0.39–0.93 MPa. With increased segmental mass (5th to 95th), the disc loads, translations, and muscle forces/activities increased to 69% at 0 N and 34% at 40 N axial load. With increased disc stiffness (0.5–1.5), the maximum differences in axial (<1%) and shear loads (4%) were trivial; however, the translations were reduced by 67%, whereas the differences in individual muscle group forces/activities varied largely. With increased muscle strength (0.5–1.5), the muscle activity decreased by 200%. For 40 vs. 0 N, the differences in disc loads, translations, and muscle forces/activities were in the range of 52–129%. Significant differences were estimated in disc loads, translations, and muscle force/activity in the normal population, which could help distinguish between normal and pathological cervical spine conditions.
Musculoskeletal disorders such as neck pain are frequent across all age and sex groups. Globally, neck pain prevalent cases were 288.7 million in 2017 (Safiri et al., 2020). Several factors could contribute to neck pain, such as sedentary lifestyle, sustained or awkward posture, vibration, and psychological or socioeconomic factors (Linton, 2000; Charles et al., 2018). Not all but several causes may be linked with a biomechanical condition of the cervical spine (Kong et al., 2017). For example, neck pain may arise from spinal cord compression due to degenerative changes in the spinal structures (Cohen, 2015; McCormick et al., 2020).
To distinguish between asymptomatic (pain-free) population with physiologically intact structures and symptomatic population with a pathomorphological condition, knowledge of the variation in the cervical spine loads, motion, and muscle activity in asymptomatic population is crucial. Previously, experimental studies (Panjabi et al., 1986, 2001; Wheeldon et al., 2006; Ackland et al., 2011; Suderman and Vasavada, 2017) measured load-displacement behavior, muscle moment arm, or the range of motion in flexion, extension, lateral bending, or axial rotation. In addition, computational studies either based on the finite element (Mesfar and Moglo, 2013; Bredbenner et al., 2014; Mustafy et al., 2014; Lasswell et al., 2017), inverse dynamic (Anderst et al., 2013; Diao et al., 2018, 2017), or forward dynamic models (Sartori et al., 2014; Silvestros et al., 2019) investigated the effect of variation in geometrical or material properties on the cervical spine loads, motion, or muscle force. However, in an asymptomatic population, quantification of the differences in spinal loads, segment translations, or muscle activity in a neutral posture needs further attention. Such data provided could help improve the prognosis and outcome of the interventions applied to prevent or treat pathological conditions of the cervical spine.
The anthropometric and biomechanical characteristics in the general population are subject-specific (Vasavada et al., 2008; Winter 2009). Such interindividual variations may lead to significant differences in segmental kinematics, disc loads, or muscle force/activity in a neutral posture. Therefore, we hypothesize that parameters such as segment mass, intervertebral disc stiffness, and muscle strength significantly affect the kinematic, kinetic, or muscle response of the cervical spine in a neutral posture. For example, the cervical segments and head mass vary considerably among the general population. The head has the largest mass, which could vary due to differences in head circumference (Ching, 2007). In addition, the head mass could differ significantly in a specific percentile population of a certain height and body mass (Nguyen et al., 2012). The disc stiffness plays a vital role in flexibility and load-bearing mechanism. Previously, in vitro studies showed a large variation in cervical disc axial and shear stiffness (Moroney et al., 1988; Yoganandan et al., 2001; Dowling-Medley et al., 2020). These differences may influence the local kinematics, the initial contact mechanics between the facet joints (Yoganandan et al., 2003; Jaumard et al., 2011), and the cervical spine’s overall motion and load sharing mechanism (Cripton, 1999; Patwardhan et al., 2000). In addition, neck muscle strengths vary widely among the population (Ikai and Fukunaga, 1968; Maganaris et al., 2001; Catenaccio et al., 2017), leading to significant differences in the level of muscle activity required to stabilize the cervical spine in a neutral posture.
In the asymptomatic population, quantification of the differences in the cervical disc loads, disc translations, and neck muscle force/activity due to variation in segmental mass, disc stiffness, and muscle strength still requires more consideration. Therefore, the aim of this study was 1) to develop an inverse dynamic musculoskeletal model of the cervical spine, 2) calculate the differences in cervical disc loads, disc translations, intradiscal pressure, and the muscle force/activity due to segmental mass, translational disc stiffness, and muscle strength in a neutral posture, and 3) compare these results with data available in the literature.
MethodsModel Development
For developing an inverse dynamic musculoskeletal model, the 3D geometry for the head and neck complex was acquired from a previous study (Mesfar and Moglo, 2013) (Figure 1), where they used data from the Visible Human Project (Spitzer et al., 1996; Ackerman, 1998). The male subject’s measured height was 180 cm, which is close to the 50th percentile of Caucasian populations (Cassola et al., 2011).
Head and neck model. (A) Model with cervical ligament fibers. Apical, alar, TL; transverse ligament, AAOM and PAOM; anterior and posterior atlantooccipital membranes, ALL; anterior longitudinal ligament, PLL; posterior longitudinal ligament, SSL; supraspinous ligament, ISL; interspinous ligament, ITL; intertransverse ligament, CL; capsular ligament, and LF; ligament flavum. (B) Model with 34 muscle groups and headgear. (C) Detailed front, back, and side view of 34 muscle groups added in the model.
The center of mass for each vertebral segment was computed for uniform density across the segment volume. The spherical joints were defined between the head–neck complex with three rotational degrees of freedom and were placed at the geometric centroids of the cervical discs. Furthermore, three translational degrees of freedom using force-dependent kinematics (FDK) were added from C2–C3 to C7–T1, allowing soft constraints defined by the stiffness given in the local x, y, and z directions. During inverse analysis, the system resolves the equilibrium equations quasi-statically and computes translations so that the forces in these directions are in equilibrium (Andersen et al., 2011).
The cervical spine ligaments (Figure 1A) such as apical, alar, transverse, anterior longitudinal, posterior longitudinal, supraspinous, interspinous, intertransverse, capsular, ligament flavum, and anterior and posterior atlanto-occipital membranes were added (Table 1). The origin and insertion points for ligaments were taken from a previously developed finite element model of the cervical spine (Mesfar and Moglo, 2013). The nonlinear ligament stiffness properties at a slow strain rate were defined based on previously published experimental data (Shim et al., 2006). The ligament fibers were calibrated for no stress in a neutral posture. The forces did not exceed the maximum computed for 75 percent of the failure strain for the physiological ranges of motion.
Cervical ligament fibers included in the musculoskeletal model.
The head and neck muscles were added (Figure 1B) based on the previously published dataset of muscle parameters (Borst et al., 2011). In total, 34 muscle groups and 129 muscle fascicles were included (Figure 1C) on each side. These muscle groups were further grouped as anterior/anterolateral, posterior/posterolateral, or lateral muscles (Table 2). The muscle behavior was defined by a simple contractile element with constant specific muscle strength.
Head and neck muscle groups and the number of fascicles (sum of left and right) included in the musculoskeletal model.
Anterior/anterolateral (no)
Posterior/posterolateral (no)
Lateral (no)
1. Rectus capitis anterior (2)
1. Rectus capitis posterior major (2)
1. Rectus capitis lateralis (2)
2. Longus capitis (8)
2. Rectus capitis posterior minor (2)
2. Intertransversarii anterior cervicis (12)
3. Longus colli craniolateral (4)
3. Obliquus capitis inferior (2)
3. Intertransversarii posterior cervicis (12)
4. Longus colli medial (10)
4. Obliquus capitis superior (2)
5. Sternocleidomastoideus (8)
5. Semispinalis capitis (18)
6. Scalenus anterior (6)
6. Splenius capitis (14)
7. Scalenus medius (14)
7. Longissimus capitis (12)
8. Scalenus posterior (4)
8. Iliocostalis cervicis (6)
9. Omohyoid venter inferior (2)
9. Intercostalis cervicis (2)
10. Omohyoid venter superior (2)
10. Interspinalis cervicis (10)
11. Sternohyoid (4)
11. Splenius cervicis (4)
12. Thyrohyoid (2)
12. Semispinalis cervicis (20)
13. Sternothyroid (4)
13. Longissimus cervicis (16)
14. Multifidus cervicis (20)
15. Levator scapulae (8)
16. Rhomboideus minor (4)
17. Trapezius Pars descendens (8)
18. Trapezius Pars transversus (4)
19. Serratus posterior superior (8)
Sensitivity Analysis
Three parameters were considered for sensitivity analysis, namely, 1) segmental mass, 2) cervical disc stiffness in compression and shear, and 3) muscle strength. In addition, two external load (EL) conditions (0 and 40 N axial loads on the head) were considered to simulate the head without or with typical headgear, such as in the case of a helicopter pilot wearing a helmet with night vision goggles (NVGs) (Figure 1B). The segmental masses were computed using a scaling function for the 5th, 50th, and 95th percentile implemented in the AnyBody Standing Model (AMMR v. 2.2.3). The axial and shear stiffness were adapted from previous studies (Yoganandan et al., 2001; Dowling-Medley et al., 2020), which were varied as 0.5, 1, and 1.5 of the disc stiffness. For quasi-static inverse analysis, simple muscles were considered with three specific muscle strengths of 30, 60, and 90 N/cm2, whereas these values were within the normal range as published in previous literature (Ikai and Fukunaga, 1968; Maganaris et al., 2001). The values set for the three parameters are given in Table 3. In total, 54 simulations were performed for two external load conditions and with parameter settings for 27 models (Supplementary Table S1).
Model parameter values for segmental mass (M), disc stiffness (DS), and muscle strength (MS).
Head and Neck Segment Mass (M) (kg)
Disc Stiffness (DS) (N/mm)
Specific Muscle Strength (MS) (N/cm2)
Segment
5th50th95th
Disc level
Compression
Disc level
Shear
0.5MS1.0MS1.5MS
(Estimated from AnyBody Standing Model, AMMR version 2.2.3)
0.5DS1.0DS1.5DS
0.5DS1.0DS1.5DS
(Yoganandan et al. 2001)
(Dowling-Medley et al. 2020)
C0
3.305092
4.434112
5.566028
C2C3
318.75
637.5
956.25
C2-C3 to C7-T1
41
82
123
30
60
90
C1
0.1567685
0.2103207
0.2640103
C3C4
382.65
765.3
1147.95
C2
0.177671
0.2383635
0.2992116
C4C5
392.3
784.6
1176.9
C3
0.1707035
0.2290159
0.2874778
C5C6
400.1
800.2
1200.3
C4
0.163736
0.2196683
0.2757441
C6C7
414.85
829.7
1244.55
C5
0.163736
0.2196683
0.2757441
C7T1
486.8
973.6
1460.4
C6
0.1707035
0.2290159
0.2874778
C7
0.1567685
0.2103207
0.2640103
Inverse Analysis
In AnyBody, the muscle and joint forces were calculated by inverse analysis while taking known inertia and external forces into account. To estimate muscle forces in the model, a polynomial-based muscle recruitment criterion was considered that minimizes the muscle stresses with better synergism between neck muscles, which is given in Eq. 1.MinimizeG=∑i=1N(FiFi,max)3,0≤Fi≤Fi,max,Cf=r.
Here, G represents the cost function,i represents the muscle number, N represents the total number of muscles, Fi represents the actual muscle force at any instant of the simulation, and Fi,max represents the strength of the muscle. The system of equilibrium equations was represented by Cf=r, where f represents a vector of the muscle and joint forces, C represents a matrix of equation coefficients, and r represents a vector of known inertia and external forces.
Results and Validation/Verification
The intradiscal pressure (IDP) for the cervical discs was estimated as given in Eq. 2.IDPmodel=FcmodelAreadisc×CF.
Fcmodel is the estimated axial force from inverse analysis, and Areadisc is the cross-sectional area of the cervical discs taken from the literature (Pooni et al., 1986). No studies were available that, in particular, presented the correction factor (CF) to estimate IDP in the cervical spine; however, we used the typical CF range (0.55–0.77), with a mean value of 0.66 recommended for the lumbar spine (Dreischarf et al., 2013). The estimated IDP from the model for the 5th, 50th, and 95th percentile population was compared with in vivo measurements found in the literature (Kambin et al., 1980; Hattori et al., 1981).
The axial load and translation were taken perpendicular to the surface, and shear force or translation was taken parallel to the surface of the lower segment. The axial and shear loads estimated were compared with the findings in the literature (Barrett et al., 2020). In addition, the estimated 34 group muscle forces and activities were also compared qualitatively with data found in the literature (Assi et al., 2005; Ibrahim, 2015; Van den Abbeele et al., 2018).
ResultsIDP
The estimated IDP for C2–C3 to C7–T1 discs and its comparison with in vivo measurements are given in Figure 2. With 0 N axial load, the range of average IDP was 0.2–0.56 MPa with a mean correction factor of 0.66 (Figure 2A). These estimations were comparable to in vivo measurements (0.3–0.45 MPa). At 40 N axial load, the values increased to 104% (5th percentile mass) and 62% (95th percentile mass), with values in the range of 0.39–0.93 MPa (Figure 2B). Higher values of IDP were estimated in the upper than the lower-level cervical discs. The IDP for the 5th, 50th, and 95th percentile mass showed noticeable differences; however, no significant differences were seen due to disc stiffness and muscle strength. Due to segmental mass, the estimated IDP showed a difference of about 68% at 0 N and 33% at 40 N axial load.
Estimated IDP in a neutral posture for the 5th, 50th, and 95th percentile segmental mass with a mean correction factor of 0.66. Error bars show the range of IDP with a correction factor of 0.55–0.77. (A) IDP at 0 N and (B) IDP at 40 N external load (EL).
Disc Loads and Translations
From C2–C3 to C7–T1, the estimated axial loads and their comparison (Barrett et al., 2020) are given in Figure 3A. Barret et al. recorded EMG measurements from eight healthy males wearing a helmet for a helicopter pilot. Furthermore, they predicted the cervical joint loads using an EMG-driven inverse model of a 50th percentile male. In our study, the estimated axial loads for the 50th percentile mass with 40 N external load were comparable to those mentioned in the work by Barret et al.
Estimated disc loads and translations in a neutral posture showing differences for the 5th, 50th, and 95th percentile segmental mass, 0.5DS, DS, and 1.5DS disc stiffness (DS). (A) Axial force. (B) Axial translation. (C) Shear force. (D) Shear translation. Bars and error bars show disc loads and translations at 0N and 40N external load (EL).
The axial loads increased from upper to lower levels. At 0 N axial load, the axial loads increased about 68% from the 5th to 95th percentile segmental mass for C2–C3 (43–72 N), C3–C4 (46–78 N), C4–C5 (47–79 N), C5–C6 (47–80 N), C6–C7 (52–88 N), and C7–T1 (58–98 N) segments. For the 40 N axial load, the estimated loads increased by 33% due to segmental mass in C2–C3 (89–119 N), C3–C4 (95–127 N), C4–C5 (96–128 N), C5–C6 (96–128 N), C6–C7 (104–140 N), and C7–T1 (116–156 N) segments. For the 40 N vs. 0 N load condition, axial loads increased by 104–62% for the 5th to 95th percentile mass. No significant differences were found in axial loads due to disc stiffness and muscle strength.
The estimated shear loads are given in Figure 3C. Though the estimated shear loads were small and comparable to those in the work by Barret et al., the shear loads increased from the upper (C2–C3) to the lower level (C7–T1) in our results, which is different from their study (a decrease from C2–C3 to C5–C6, followed by an increase to C7–T1).
Due to segmental mass, the estimated shear loads increased up to 67% for C3–C4 (1–2 N), C4–C5 (6–11 N), C5–C6 (8–14 N), C6–C7 (10–17 N), and C7–T1 (17–29 N) segments. The shear forces computed for level C2–C3 were nearly 0 N. Under 40 N axial load, the estimated loads increased by 33% in C2–C3 (0.2–0.4 N), C3–C4 (2–3 N), C4–C5 (12–16 N), C5–C6 (16–21 N), C6–C7 (19–25 N), and C7–T1 (33–44 N) segments. For the 40 N vs. 0 N load condition, the shear loads increased by 91–52% for the 5th to 95th percentile mass. No notable differences were found due to disc stiffness and muscle strength.
The axial translations at different spine levels were almost similar (Figure 3B), whereas shear translations increased from upper to lower levels (Figure 3D). With an increase in segmental mass, the axial translations increased by 68%. With a decrease in disc stiffness from 1.5 to 0.5, axial and shear translations increased by 67% for each percentile mass. From C2–C3 to C7–T1, the range of axial translations was 0.04–0.22 mm and 0.08–0.37 mm at 0 N and 40 N axial loads, whereas shear translations were between 0 and 0.7 mm and 0–1 mm. For 40 N vs. 0 N load condition, axial translations increased by 104–62% and shear translations increased by 91–52% for the 5th to 95th percentile. No differences were found in disc translations due to muscle strength.
Muscle Force and Activity
The estimated muscle force in individual muscle groups for the right side (Figures 4A,C) and the total muscle force in anterior, posterior, and lateral muscle groups (left and right) are given in Figure 5. The maximum muscle forces reached in any individual muscle group were from 3 (0 N axial load) to 5.9 N (40 N axial load). These estimated muscle forces were within the range (approx. 3.2–6 N) found in other studies (Assi et al., 2005; Van den Abbeele et al., 2018).
The estimated muscle force and activity of the right side anterior/anterolateral, posterior/posterolateral, and lateral muscle groups for the 5th, 50th and 95th percentile segmental mass at 0N and 40N external load (EL). Error bars show variation in muscle activity due to differences in muscle strength from 30 to 90 N/cm2. (A) Muscle force at 0N EL. (B) Muscle activity at 0N EL. (C) Muscle force at 40N EL. (D) Muscle activity at 40N EL.
Total muscle force in anterior/anterolateral (Ant), posterior/posterolateral (Pos), and lateral (Lat) muscle groups for the 5th, 50th, and 95th percentile segmental mass at 0 N and 40 N external load (EL).
The total muscle force in posterior muscles was greater than that in anterior muscle groups, whereas the total muscle force in lateral muscles was the least. The muscle forces increased by 69% due to segmental mass under 0 N axial load and 34% under 40 N axial load. Due to 40 N vs. 0 N axial load, the estimated difference in muscle forces was between 103% (5th percentile) and 60% (95th percentile).
The muscle activity for anterior, posterior, and lateral muscle groups is given in Figure 4B,D under 0 N and 40 N axial loads. The average muscle activities were mostly less than 5% of maximum voluntary contraction (MVC), with few up to 10% MVC for 0 N axial load and about 15% MVC for 40 N axial load. The muscle activities estimated in this study with 0 and 40 N axial load for sternocleidomastoid, erector spinae, and trapezius muscles were comparable to the EMG measurements in the study of Ibrahim (2015), where 16 young subjects were measured in a neutral posture with no load and a loaded condition on the head (3.68 kg). Some of the infrahyoid muscle groups showed higher activity in the range of 5–25% MVC. The maximum difference due to segmental mass was about 69 and 34% for 0 and 40 N axial load, whereas the activity varied by 200% due to specific muscle strength. The differences estimated in muscle activity due to disk stiffness varied largely among individual muscle groups.
Discussion
Due to interindividual differences, the IDP, cervical disc loads, translations, and neck muscle response varies considerably. Quantifying such differences among the general population is necessary for better treatment of musculoskeletal disorders related to the cervical spine. Understanding such differences may help differentiate between healthy and symptomatic population. Sensitivity analysis was performed to investigate the effect of segmental mass, disc stiffness, and muscle strength variation on the axial and shear disc loads, translations, IDP, and muscle force/activity under 0 N and 40 N axial loads in a neutral posture. In vivo studies measuring IDP in the cervical discs are rare. We could find two studies in the literature (Kambin et al., 1980; Hattori et al., 1981). Kambin et al. performed intraoperative measurements on 19 patients before a discectomy was undertaken. The disadvantage of intraoperative measurements was the elimination of muscle tone due to the applied anesthetics and relaxants, making it impossible to determine the intradiscal pressure under realistic muscle stress. Therefore, they analyzed the pressure–volume relationship after intradiscal injection of defined fluid measurements. In 62% of the discs, they found normal results with pressure values between 0.6 and 1.2 MPa after injection of 0.2–0.4 ml of fluid. On the other hand, degenerated intervertebral discs with partial rupture of the annulus fibrosus and destroyed nucleus pulposus developed maximum pressures between 0.1 and 0.4 MPa after injection of 1.5 ml of fluid. In analogy, reduced pressures are considered in advanced degenerative changes already proven for the lumbar intervertebral disc (Nachemson, 1966).
Hattori et al. determined the cervical intradiscal pressure in vivo in patients who were awake. In 48 patients undergoing treatment for degenerative cervical spine problems, they performed discographic pressure measurements in 80 cervical discs. They took measures in a neutral position on the sitting patient and during flexion/extension, axial rotation, and lateral inclination. In a relaxed, tucked-back position, the values averaged 0.3 MPa, while in a sitting position, they rose to 0.45 MPa in the neutral position.
In addition, a couple of in vitro studies (Cripton, 1999; Pospiech et al., 1999) also provided some insight into the cervical IDP under different loading conditions. Pospiech et al. found IDP similar to that found by Hattori et al. in a neutral position from seven specimens (C3–C4 and C5–C6). Cripton, 1999 found a linear relationship between compression and the IDP from a sample of four specimens, including C2–C3 (2), C3–C4 (1), and C4–C5 (1). They found peak IDP of 2.4–3.5 MPa under 800 N. Based on their findings, Cripton et al. suggested a thumb rule that for every 1000 N of axial load, an IDP of 3.75 MPa is expected in cervical discs, which is much higher than that in the lumbar region (1 MPa for every 1000 N). However, in these in vitro studies, the sample size was limited and technical difficulties were reported in acquiring IDP for small cervical discs (Cripton, 1999). Numerous biomechanical parameters can affect the cervical disc loads and IDP. In this study, we estimated the change in IDP due to segmental mass in a neutral posture, which was found in a similar range as reported in experimental studies (Kambin et al., 1980; Hattori et al., 1981). The estimated IDP was higher in upper-level discs than in the lower-level discs, possibly due to the smaller size of the upper cervical discs (Pooni et al., 1986).
The estimated cervical disc loads in compression and shear increased from upper to lower cervical levels as the total mass above each level increased naturally. The axial and shear load increased in a neutral posture due to segmental mass; however, it did not change significantly due to disc stiffness and muscle strength. Shear loads were comparatively much less than axial loads, with the highest values at the lowest level and almost no shear load at the upper level of the spine. Here, segmental masses from 5th to 95th percentiles were considered. One may note that even within a specific percentile of the population, the head mass can vary significantly. However, the variation of head mass within a certain percentile was not considered in this study. Due to the small size of cervical discs, the increase in segmental mass and external axial loading showed a considerable rise in IDP. With 40 N axial loading, which is close to a normal auxiliary weight of a helicopter pilot due to a helmet worn with the NVG, our study showed that the IDP could increase two-fold. Previous studies reported the association of a helmet worn with NVG with neck pain in helicopter pilots (Karakolis et al., 2015). High IDP and cumulative loading for persistent long hours might cause tissue damage and, therefore, neck pain.
The cervical disc translations showed significant differences due to segmental mass and disc stiffness. Quantifying the differences in disc translations of the spinal segment may prove helpful in understanding the initial contact mechanics and loading of the facet joints in the neutral posture. The axial translation almost remained similar for different segment levels, which is per increased axial stiffness of the discs that could have compensated the effect of additional mass at progressively lower spine levels. On the contrary, shear translations increased from upper to lower levels as the shear stiffness considered in the model was similar at all levels.
The muscle forces stabilize the head and neck complex in a neutral posture. Here, the sensitivity analysis showed that the activity is much higher with low muscle strength to maintain the neutral posture. While the strength of neck muscles can vary among the normal population, the neck muscles with lower strength can get fatigued earlier for sustaining a posture for a prolonged time. Studies measuring EMG activity reported significant interindividual variations in sternocleidomastoid, erector spinae, and trapezius muscles (Villanueva et al., 1997; Caneiro et al., 2010; Newell et al., 2013; Callaghan et al., 2014; Ibrahim, 2015; Cheon and Park, 2017; Lee et al., 2017). The muscle activities estimated in this study were within a similar range. The estimated muscle activity in neutral posture showed noticeable differences. The maximum muscle activity calculated under 0 N and 40 N axial load was up to 10 and 15% MVC for most muscle groups, respectively. Some infrahyoid muscles showed higher activity (5–25% MVC), which may be associated with their significant contribution in flexion moment. A previous study by Mortensen et al. (2018) showed substantial contribution of hyoid muscles to stabilize the cervical spine by providing increased flexion moment in their model compared to others without hyoid muscles (Vasavada et al., 1998).
The predicted muscle forces in individual groups were approximately in the range of 3–6 N. These values were comparable with those in other studies found in the literature (Assi et al., 2005; Van den Abbeele et al., 2018). Here, we also presented the sum of forces in anterior, posterior, and lateral muscles. The total force in posterior muscles was comparatively higher than that in anterior muscles. Since the overall center of mass was located about C1 and slightly anterior, more extensor moment would be required to keep the spine stable in a neutral posture. With the addition of 40 N axial load, the total muscle forces increased almost two-fold.
This study investigated the differences in cervical disc loads, disc translations, IDP, and muscle force/activity due to segmental mass, disc stiffness, and muscle strength in the general population. However, the study has its limitations. Apart from the effects of the parameters shown in this study, interactions among the parameters may exist. For example, in our preliminary analysis, we noticed negligible or no interaction among the parameters for the disc loads and total muscle forces in a neutral posture; however, for disc translations, nonlinear interaction may exist between the disc stiffness versus segmental mass and the external load. Estimating a full range of variation was not within the scope of this study. Other biomechanical parameters may affect these estimations. Here, we considered only one set of the geometric musculoskeletal model; therefore, differences due to morphological/geometrical parameters were not considered. For example, cervical spine shape varies among the general population as previous studies showed that one-third of the asymptomatic population has cervical kyphosis rather than commonly perceived cervical lordosis (Le Huec et al., 2019, 2014), whereas some studies showed gender differences in the spine shape (Been et al., 2017). In addition, the nonsymmetric geometric features in vertebra shape or bifid in spinous processes may lead to differences in muscle attachments and muscle moment arms. In this study, facet contact mechanics was not considered as it may be sensitive to the definition of facet joint gap and other geometrical parameters. The current model estimated the joint loads, translations, and muscle force/activity in a neutral posture. In our future work, we aim to validate the model for flexion, extension, lateral bending, and axial rotation and include facet joints for simulating these large motions.
Conclusion
The cervical disc loads, motion, and muscle force/activity vary significantly in a neutral posture. Quantifying such differences due to various parameters is necessary to better evaluate the cervical spine’s normal or pathological condition.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Author Contributions
RA: concept and design of the study, model development, simulations, sensitivity analysis, data evaluation, interpretation of the results, writing, and editing of the manuscript. HS: review, discussion, and editing of the manuscript. ME-R: review and editing of the manuscript. KM: funding acquisition, supervision, concept and design of the study, and review and editing of the manuscript.
Funding
This study was sponsored by the Directorate of Aerospace Engineering Support (DTAES 7), National Defense Headquarters, Ottawa, Canada, K1A 0K2.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
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.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fbioe.2022.751291/full#supplementary-material
Model parameters settings for segmental mass (M), disc stiffness (DS), muscle strength (MS) and external load (EL) for sensitivity analysis.
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