Distinct Motor Map Characteristics for Biceps and Triceps Muscles in Persons with Chronic Tetraplegia: Implications for Arm Function

Liu, J.; Olaughlin, K.; Forrest, G. F.; Arora, T.; Nemunaitis, G.; Cunningham, D.; Kirshblum, S.; Pundik, S.; Baker, K.; Bryden, A.; Kilgore, K.; Bethoux, F.; Wang, X.; Henzel, M. K.; Brihmat, N.; Bayram, M. B.; Plow, E. B.

doi:10.1101/2024.03.27.585546

bioRxiv · 10.1101/2024.03.27.585546

Distinct Motor Map Characteristics for Biceps and Triceps Muscles in Persons with Chronic Tetraplegia: Implications for Arm Function

Liu, J.·Olaughlin, K.·Forrest, G. F.·Arora, T.·Nemunaitis, G.·Cunningham, D.·Kirshblum, S.·Pundik, S.·Baker, K.·Bryden, A.·Kilgore, K.·Bethoux, F.·Wang, X.·Henzel, M. K.·Brihmat, N.·Bayram, M. B.·Plow, E. B.

View original source ↗Export metadata ↓

Abstract

Following spinal cord injury (SCI), intact neural resources undergo widespread reorganization within the brain. Animal models reveal motor cortical representations devoted to spared muscles above injury expand at the expense of territories occupied by weaker muscles. In this study, we investigated whether motor representations are similarly reorganized between a relatively spared biceps muscle and a weakened triceps muscle in persons with chronic tetraplegia following traumatic cervical SCI in association with upper limb motor function. Twenty-four adults with cervical SCI and 15 able-bodied participants underwent motor mapping using transcranial magnetic stimulation. We determined following map characteristics: area, amplitude (maximal motor evoked potential and volume), and center of gravity. Maximal voluntary contraction (MVC) and motor function (Capabilities of the Upper Extremity Test or CUE-T) were also assessed. Findings reveal that participants with SCI had hyper-excitable biceps maps than triceps, and hyper-excitable biceps maps also compared to biceps maps in able-bodied participants. Higher amplitude of biceps and triceps maps was associated with better motor function (higher CUE-T) and more distal injury (i.e., more spared segments) in persons with SCI. Amplitudes of biceps but not the triceps maps were associated with higher muscle MVCs. In conclusion, over-excitable biceps than triceps map in SCI may represent deafferentation plasticity. For the first time, we demonstrate how map reorganization of spared and weaker muscles in persons with chronic cervical SCI is associated with upper limb motor status. Use-dependent mechanisms may shift neural balance in favor of spared muscles, supporting potential use as response biomarkers in rehabilitation studies. New & NoteworthyOur study reports evidence in humans with cervical SCI that motor representation for the relatively spared muscle becomes hyper-excitable compared to that for the weaker muscle to the extent that hyper-excitability is even higher compared to biceps maps in uninjured individuals. Use-dependent mechanisms likely favor such heightened excitability of spared maps. For the first time, we demonstrate clinical relevance of map excitability in humans with SCI, supporting potential use as a biomarker of recovery.

Explore related subjects

neuroscience Preprint

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Liu, J., Olaughlin, K., Forrest, G. F., Arora, T., Nemunaitis, G., Cunningham, D., Kirshblum, S., Pundik, S., Baker, K., Bryden, A., Kilgore, K., Bethoux, F., Wang, X., Henzel, M. K., Brihmat, N., Bayram, M. B., Plow, E. B.. 2024-03-29. Distinct Motor Map Characteristics for Biceps and Triceps Muscles in Persons with Chronic Tetraplegia: Implications for Arm Function. https://doi.org/10.1101/2024.03.27.585546

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Same Movements, Different Skills: How Context Shapes Learning in Humans and Neural Networks

What determines whether experiences are integrated into shared representations or split? Motor skill learning offers a revealing test: when two tasks require an identical sequence of movements, both intuition and theory suggest that practice in one should generalize to the other. Yet we find that changing context can make identical movements different skills. In simple recurrent networks trained on the same sequence across contexts, splitting was greatest when strong contextual inputs coincided with a high initial weight scale; neither alone sufficed. Greater representational separation coincided with separate context-specific learning curves. Humans practicing the same finger sequence while alternating between two performance-irrelevant contexts likewise exhibited context-specific curves, rather than the single continuous trajectory observed when practicing in a single context. State-space modeling favored split learning states in humans and very weakly coupled states in the most context-dependent networks. These findings have broader implications for understanding how learning generalizes across contexts.

neuroscience↗

bioRxiv2026

Postpartum resource scarcity reshapes maternal care, offspring prioritization, and the steroid-sensitive medial preoptic area

Parental care requires balancing offspring needs with environmental constraints, yet how resource scarcity alters the organization of maternal responses remains poorly understood. Here, we examined maternal behavior, offspring prioritization, and steroid receptor-associated extracellular matrix organization in postpartum rats exposed to limited bedding and nesting (LBN) or control conditions with ample nesting materials. LBN increased pup-directed and reduced self-directed behaviors but also increased behavioral entropy, a measure of behavioral fragmentation, indicating less predictable caregiving sequences. LBN dams preferentially retrieved male pups first, whereas control dams preferentially retrieved females first. LBN also increased the proportion of pup-investigation time directed toward males compared with controls. In offspring on postnatal day 10, corticosterone was elevated in female but not male LBN pups, a pattern that paralleled the maternal male bias. To identify associated neurobiological changes, we assessed steroid receptors and extracellular matrix organization in the medial preoptic area (mPOA), a key region for maternal behavior. LBN increased numbers of estrogen receptor (ER)- and androgen receptor (AR)-immunoreactive cells, reduced perineuronal net (PNN) abundance, and decreased receptor-positive cell enwrapment. Because PNNs constrain structural plasticity, these findings suggest that the postpartum environment alters the organization of steroid receptor-associated extracellular matrix, potentially modulating experience-dependent plasticity in neurosteroid-sensitive circuits. In sum, LBN increases the levels of maternal engagement while reshaping its temporal organization and allocation, accompanied by selective remodeling of steroid-sensitive preoptic architecture. Therefore, maternal adaptation to adversity may be better understood as changes in caregiving allocation strategies rather than a simple gain or loss of maternal care.

neuroscience↗

bioRxiv2026

The Computational Grammar of Human Behaviour in a Biological Environment

Human behaviour unfolds as an extended stream of spontaneous actions shaped by environmental demands and the agent's goals. The organisation of these actions, situated between setting abstract goals and concrete movement execution, remains poorly characterised. Here, we introduce DynaClade, an unsupervised temporal action segmentation algorithm for human full-body motion capture data, and apply it to freely moving participants navigating ecologically realistic risky foraging environments in virtual reality. DynaClade identifies discrete actions whose kinematic characteristics and spatial distributions correspond to environmental affordances, supporting the validity of the approach. Among these actions, we discovered a hitherto undescribed movement pattern defined by increased body sway without locomotion. Action sequences were highly non-random and showed clear history dependence beyond first-order Markov structure, most of which was explained by a second-order prediction. This higher-order structure was well captured in a hidden Markov model, in which some of the observed actions were associated with more than one latent state. Each of these latent states corresponded to the same action in a distinct action context. These findings suggest that spontaneous human actions are predominantly selected based on the current action and context, rather than following pre-planned or habitually assembled sequences.

neuroscience↗