Primary motor cortex mapping in brain-lesioned patients using MEG resting-state functional connectivity

Objectives: To investigate resting-state functional connectivity (RS-FC) of the default-mode network (DMN) and of sensorimotor network (SMN) network in relapsing remitting (RR) multiple sclerosis (MS) patients with fatigue (F) and without fatigue(NF). Methods: In all, 59 RRMS patients and 29 healthy controls (HC) underwent magnetic resonance imaging (MRI) protocol including resting-state fMRI (RS-fMRI). Functional connectivity of the DMN and SMN was evaluated by independent component analysis (ICA). A linear regression analysis was performed to explore whether fatigue was mainly driven by changes observed in the DMN or in the SMN. Regional gray matter atrophy was assessed by voxel-based morphometry (VBM). Results: Compared to HC, F-MS patients showed a stronger RS-FC in the posterior cingulate cortex (PCC) and a reduced RS-FC in the anterior cingulated cortex (ACC) of the DMN. F-MS patients, compared to NF-MS patients, revealed (1) an increased RS-FC in the PCC and a reduced RS-FC in the ACC of the DMN and (2) an increased RS-FC in the primary motor cortex and in the supplementary motor cortex of the SMN. The regression analysis suggested that fatigue is mainly driven by RS-FC changes of the DMN. Conclusions: Fatigue in RRMS is mainly associated to a functional rearrangement of non-motor RS networks.

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Motor Sequences - Separating The Sequence From The Motor. A longitudinal rsfMRI Study

10.1101/2021.02.09.430495 ◽

2021 ◽

Author(s):

ATP Jäger ◽

JM Huntenburg ◽

SA Tremblay ◽

U Schneider ◽

S Grahl ◽

...

Keyword(s):

Functional Connectivity ◽

Motor Learning ◽

Resting State ◽

Primary Motor Cortex ◽

Control Group ◽

Motor Execution ◽

Motor Sequence ◽

Resting State Functional Connectivity ◽

Fast Learning ◽

Slow Learning

AbstractIn motor learning, sequence-specificity, i.e. the learning of specific sequential associations, has predominantly been studied using task-based fMRI paradigms. However, offline changes in resting state functional connectivity after sequence-specific motor learning are less well understood. Previous research has established that plastic changes following motor learning can be divided into stages including fast learning, slow learning and retention. A description of how resting state functional connectivity after sequence-specific motor sequence learning (MSL) develops across these stages is missing. This study aimed to identify plastic alterations in whole-brain functional connectivity after learning a complex motor sequence by contrasting an active group who learned a complex sequence with a control group who performed a control task matched for motor execution. Resting state fMRI and behavioural performance were collected in both groups over the course of 5 consecutive training days and at follow-up after 12 days to encompass fast learning, slow learning, overall learning and retention. Between-group interaction analyses showed sequence-specific increases in functional connectivity during fast learning in the sensorimotor territory of the internal segment of right globus pallidus (GPi), and sequence-specific decreases in right supplementary motor area (SMA) in overall learning. We found that connectivity changes in key regions of the motor network including the superior parietal cortex (SPC) and primary motor cortex (M1) were not a result of sequence-specific learning but were instead linked to motor execution. Our study confirms the sequence-specific role of SMA and GPi that has previously been identified in online task-based learning studies in humans and primates, and extends it to resting state network changes after sequence-specific MSL. Finally, our results shed light on a timing-specific plasticity mechanism between GPi and SMA following MSL.

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Identifying Resting-State Functional Connectivity Changes in the Motor Cortex Using fNIRS During Recovery from Stroke

Brain Topography ◽

10.1007/s10548-020-00785-2 ◽

2020 ◽

Vol 33 (6) ◽

pp. 710-719

Author(s):

K. M. Arun ◽

K. A. Smitha ◽

P. N. Sylaja ◽

Chandrasekharan Kesavadas

Keyword(s):

Functional Connectivity ◽

Motor Cortex ◽

Resting State ◽

Resting State Functional Connectivity

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Gray Matter Volume and Resting-State Functional Connectivity of the Motor Cortex-Cerebellum Network Reflect the Individual Variation in Masticatory Performance in Healthy Elderly People

Frontiers in Aging Neuroscience ◽

10.3389/fnagi.2015.00247 ◽

2016 ◽

Vol 7 ◽

Cited By ~ 8

Author(s):

Chia-Shu Lin ◽

Shih-Yun Wu ◽

Ching-Yi Wu ◽

Hsien-Wei Ko

Keyword(s):

Functional Connectivity ◽

Motor Cortex ◽

Resting State ◽

Gray Matter Volume ◽

Masticatory Performance ◽

Resting State Functional Connectivity ◽

Matter Volume ◽

Healthy Elderly ◽

The Individual ◽

Healthy Elderly People

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Habenula functional resting-state connectivity in pediatric CRPS

Journal of Neurophysiology ◽

10.1152/jn.00405.2013 ◽

2014 ◽

Vol 111 (2) ◽

pp. 239-247 ◽

Cited By ~ 35

Author(s):

Nathalie Erpelding ◽

Simona Sava ◽

Laura E. Simons ◽

Alyssa Lebel ◽

Paul Serrano ◽

...

Keyword(s):

Motor Cortex ◽

Resting State ◽

Primary Motor Cortex ◽

Premotor Cortex ◽

Brain Regions ◽

Healthy Controls ◽

Resting State Functional Connectivity ◽

Dorsal Thalamus ◽

Functional Connections ◽

Midcingulate Cortex

The habenula (Hb) is a small brain structure located in the posterior end of the medial dorsal thalamus and through medial (MHb) and lateral (LHb) Hb connections, it acts as a conduit of information between forebrain and brainstem structures. The role of the Hb in pain processing is well documented in animals and recently also in acute experimental pain in humans. However, its function remains unknown in chronic pain disorders. Here, we investigated Hb resting-state functional connectivity (rsFC) in patients with complex regional pain syndrome (CRPS) compared with healthy controls. Twelve pediatric patients with unilateral lower-extremity CRPS (9 females; 10–17 yr) and 12 age- and sex-matched healthy controls provided informed consent to participate in the study. In healthy controls, Hb functional connections largely overlapped with previously described anatomical connections in cortical, subcortical, and brainstem structures. Compared with controls, patients exhibited an overall Hb rsFC reduction with the rest of the brain and, specifically, with the anterior midcingulate cortex, dorsolateral prefrontal cortex, supplementary motor cortex, primary motor cortex, and premotor cortex. Our results suggest that Hb rsFC parallels anatomical Hb connections in the healthy state and that overall Hb rsFC is reduced in patients, particularly connections with forebrain areas. Patients' decreased Hb rsFC to brain regions implicated in motor, affective, cognitive, and pain inhibitory/modulatory processes may contribute to their symptomatology.

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Changes in resting state functional connectivity after repetitive transcranial direct current stimulation applied to motor cortex in fibromyalgia patients

Arthritis Research & Therapy ◽

10.1186/s13075-016-0934-0 ◽

2016 ◽

Vol 18 (1) ◽

Cited By ~ 45

Author(s):

Chelsea M. Cummiford ◽

Thiago D. Nascimento ◽

Bradley R. Foerster ◽

Daniel J. Clauw ◽

Jon-Kar Zubieta ◽

...

Keyword(s):

Functional Connectivity ◽

Motor Cortex ◽

Direct Current ◽

Transcranial Direct Current Stimulation ◽

Resting State ◽

Resting State Functional Connectivity ◽

Direct Current Stimulation

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Clinical Effects of Repetitive Transcranial Magnetic Stimulation of the Motor Cortex Are Associated with Changes in Resting-State Functional Connectivity in Patients with Fibromyalgia Syndrome

Journal of Pain ◽

10.1016/j.jpain.2021.11.001 ◽

2021 ◽

Author(s):

Yuval Argaman ◽

Yelena Granovsky ◽

Elliot Sprecher ◽

Alon Sinai ◽

David Yarnitsky ◽

...

Keyword(s):

Transcranial Magnetic Stimulation ◽

Functional Connectivity ◽

Motor Cortex ◽

Resting State ◽

Magnetic Stimulation ◽

Fibromyalgia Syndrome ◽

Repetitive Transcranial Magnetic Stimulation ◽

Clinical Effects ◽

Resting State Functional Connectivity ◽

Stimulation Of

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Abstract 6: Resting-state Functional Connectivity Changes After Stroke Rehabilitation Using Closed Loop Neurofeedback

Stroke ◽

10.1161/str.46.suppl_1.6 ◽

2015 ◽

Vol 46 (suppl_1) ◽

Author(s):

Veena A Nair ◽

Brittany M Young ◽

Zack Nigogosyan ◽

Alex Remsick ◽

Sonya Weber ◽

...

Keyword(s):

Functional Connectivity ◽

Upper Extremity ◽

Resting State ◽

Primary Motor Cortex ◽

Seed Region ◽

Resting State Functional Connectivity ◽

Stroke Patients ◽

Motor Network ◽

Brain Changes ◽

Left And Right

Introduction: Brain-computer interface (BCI)-EEG is a promising intervention for improving motor function after stroke. However, brain changes following intervention on a BCI-EEG system are not yet fully understood. We examined changes in resting state functional connectivity (RSFC) MRI in the motor network defined by 6 key regions in the left and right primary motor cortex (M1), left and right supplementary motor area (SMA), and left and right premotor cortex (PMC). Additionally, we investigated brain-behavior correlation between rsFC and a battery of outcome measures including the Barthel Index (BI), the Stroke Impact Scale(SIS), and the Action Research Arm Test (ARAT). Methods: Fifteen stroke patients with persistent mild to severe upper extremity impairment following ischemic stroke received intervention using BCI-EEG and were tested before (T1) and at 2-3 weeks (T2) mid intervention. 11 of these patients were also tested a third time at 4-6 weeks at the end of intervention (T3). Eyes closed, 10 minute resting fMRI and anatomical scans were acquired on a GE 3T MRI scanner. Right hemisphere stroke patients’ scans were flipped so that as a group the lesion was in the left (L) hemisphere and the impaired limb right (R). Seed region based connectivity analyses were performed to examine changes in RSFC over time and in inter-hemispheric and intra-hemispheric connectivity, and correlations between brain changes and behavioral changes were investigated. Results: BCI-EEG intervention led to significant increase in intra-hemispheric connectivity (p = .03) from T1 to T3. Inter-hemispheric connectivity increased from T1 to T3, trending towards significance (p = .06). Significant positive correlations were observed between changes in RSFC (L.M1 and L.PMC, L.M1 and R.PMC, L.SMA and R.PMC, and R.PMC and R.SMA) and change in upper extremity BI score (p ranging from .01 to .001); changes in RSFC between L.PMC and R.PMC correlated with hand strength on the SIS (p = .03). A trend was observed between increase in RSFC (L.M1 and R.PMC) and increase in total ARAT score but this was not significant. Conclusions: Results suggest that BCI-EEG intervention facilitate changes in RSFC in the motor network in stroke patients and these changes are associated with improved outcomes.

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