Neural coupling between contralesional motor and frontoparietal networks correlates with motor ability in individuals with chronic stroke
| Autor: | Kie Honjo, Malcolm A. Binns, Bernhard Ross, Donald T. Stuss, Sandra E. Black, Timothy K. Lam, Deirdre R. Dawson, Joyce L. Chen, J. Jean Chen, Brian Levine, Takako Fujioka |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Adult
Male 0301 basic medicine medicine.medical_specialty Rest Posterior parietal cortex Brain damage Proof of Concept Study Disability Evaluation 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation Parietal Lobe Neural Pathways medicine Humans Prefrontal cortex Stroke Aged Brain Mapping Resting state fMRI Supplementary motor area Motor Cortex Recovery of Function Middle Aged Hand medicine.disease Magnetic Resonance Imaging Frontal Lobe Dorsolateral prefrontal cortex Cross-Sectional Studies 030104 developmental biology medicine.anatomical_structure Neurology Motor Skills Chronic Disease Female Neurology (clinical) Primary motor cortex medicine.symptom Psychology Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | Journal of the Neurological Sciences. 384:21-29 |
| ISSN: | 0022-510X |
| Popis: | Movement is traditionally viewed as a process that involves motor brain regions. However, movement also implicates non-motor regions such as prefrontal and parietal cortex, regions whose integrity may thus be important for motor recovery after stroke. Importantly, focal brain damage can affect neural functioning within and between distinct brain networks implicated in the damage. The aim of this study is to investigate how resting state connectivity (rs-connectivity) within and between motor and frontoparietal networks are affected post-stroke in correlation with motor outcome. Twenty-seven participants with chronic stroke with unilateral upper limb deficits underwent motor assessments and magnetic resonance imaging. Participants completed the Chedoke-McMaster Stroke Assessment as a measure of arm (CMSA-Arm) and hand (CMSA-Hand) impairment and the Action Research Arm Test (ARAT) as a measure of motor function. We used a seed-based rs-connectivity approach defining the motor (seed = contralesional primary motor cortex (M1)) and frontoparietal (seed = contralesional dorsolateral prefrontal cortex (DLPFC)) networks. We analyzed the rs-connectivity within each network (intra-network connectivity) and between both networks (inter-network connectivity), and performed correlations between: a) intra-network connectivity and motor assessment scores; b) inter-network connectivity and motor assessment scores. We found: a) Participants with high rs-connectivity within the motor network (between M1 and supplementary motor area) have higher CMSA-Hand stage (z = 3.62, p = 0.003) and higher ARAT score (z = 3.41, p = 0.02). Rs-connectivity within the motor network was not significantly correlated with CMSA-Arm stage (z = 1.83, p > 0.05); b) Participants with high rs-connectivity within the frontoparietal network (between DLPFC and mid-ventrolateral prefrontal cortex) have higher CMSA-Hand stage (z = 3.64, p = 0.01). Rs-connectivity within the frontoparietal network was not significantly correlated with CMSA-Arm stage (z = 0.93, p = 0.03) or ARAT score (z = 2.53, p = 0.05); and c) Participants with high rs-connectivity between motor and frontoparietal networks have higher CMSA-Hand stage (rs = 0.54, p = 0.01) and higher ARAT score (rs = 0.54, p = 0.009). Rs-connectivity between the motor and frontoparietal networks was not significantly correlated with CMSA-Arm stage (rs = 0.34, p = 0.13). Taken together, the connectivity within and between the motor and frontoparietal networks correlate with motor outcome post-stroke. The integrity of these regions may be important for an individual's motor outcome. Motor-frontoparietal connectivity may be a potential biomarker of motor recovery post-stroke. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect