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      Neuroplastic changes in resting-state functional connectivity after stroke rehabilitation

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          Abstract

          Most neuroimaging research in stroke rehabilitation mainly focuses on the neural mechanisms underlying the natural history of post-stroke recovery. However, connectivity mapping from resting-state fMRI is well suited for different neurological conditions and provides a promising method to explore plastic changes for treatment-induced recovery from stroke. We examined the changes in resting-state functional connectivity (RS-FC) of the ipsilesional primary motor cortex (M1) in 10 post-acute stroke patients before and immediately after 4 weeks of robot-assisted bilateral arm therapy (RBAT). Motor performance, functional use of the affected arm, and daily function improved in all participants. Reduced interhemispheric RS-FC between the ipsilesional and contralesional M1 (M1-M1) and the contralesional-lateralized connections were noted before treatment. In contrast, greater M1-M1 functional connectivity and disturbed resting-state networks were observed after RBAT relative to pre-treatment. Increased changes in M1-M1 RS-FC after RBAT were coupled with better motor and functional improvements. Mediation analysis showed the pre-to-post difference in M1-M1 RS-FC was a significant mediator for the relationship between motor and functional recovery. These results show neuroplastic changes and functional recoveries induced by RBAT in post-acute stroke survivors and suggest that interhemispheric functional connectivity in the motor cortex may be a neurobiological marker for recovery after stroke rehabilitation.

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          Searching for a baseline: functional imaging and the resting human brain.

          Functional brain imaging in humans has revealed task-specific increases in brain activity that are associated with various mental activities. In the same studies, mysterious, task-independent decreases have also frequently been encountered, especially when the tasks of interest have been compared with a passive state, such as simple fixation or eyes closed. These decreases have raised the possibility that there might be a baseline or resting state of brain function involving a specific set of mental operations. We explore this possibility, including the manner in which we might define a baseline and the implications of such a baseline for our understanding of brain function.
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            The Modified Mini-Mental State (3MS) examination.

            E Teng, H Chui (1987)
            The Mini-Mental State (MMS) examination is a widely used screening test for dementia. The Modified Mini-Mental State (3MS) incorporates four added test items, more graded scoring, and some other minor changes. These modifications are designed to sample a broader variety of cognitive functions, cover a wider range of difficulty levels, and enhance the reliability and the validity of the scores. The 3MS retains the brevity, ease of administration, and objective scoring of the MMS but broadens the range of scores from 0-30 to 0-100. Greater sensitivities of the 3MS over the MMS are demonstrated with the pentagon item drawn by 249 patients. A summary form for administration and scoring that can generate both the MMS and the 3MS scores is provided so that the examiner can maintain continuity with existing data and can obtain a more informative assessment.
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              Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke.

              Focal brain lesions can have important remote effects on the function of distant brain regions. The resulting network dysfunction may contribute significantly to behavioral deficits observed after stroke. This study investigates the behavioral significance of changes in the coherence of spontaneous activity in distributed networks after stroke by measuring resting state functional connectivity (FC) using functional magnetic resonance imaging. In acute stroke patients, we measured FC in a dorsal attention network and an arm somatomotor network, and determined the correlation of FC with performance obtained in a separate session on tests of attention and motor function. In particular, we compared the behavioral correlation with intrahemispheric FC to the behavioral correlation with interhemispheric FC. In the attention network, disruption of interhemispheric FC was significantly correlated with abnormal detection of visual stimuli (Pearson r with field effect = -0.624, p = 0.002). In the somatomotor network, disruption of interhemispheric FC was significantly correlated with upper extremity impairment (Pearson r with contralesional Action Research Arm Test = 0.527, p = 0.036). In contrast, intrahemispheric FC within the normal or damaged hemispheres was not correlated with performance in either network. Quantitative lesion analysis demonstrated that our results could not be explained by structural damage alone. These results suggest that lesions cause state changes in the spontaneous functional architecture of the brain, and constrain behavioral output. Clinically, these results validate using FC for assessing the health of brain networks, with implications for prognosis and recovery from stroke, and underscore the importance of interhemispheric interactions.
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                Author and article information

                Contributors
                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                05 October 2015
                2015
                : 9
                : 546
                Affiliations
                [1] 1School of Occupational Therapy, College of Medicine, National Taiwan University and Division of Occupational Therapy, Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital Taipei, Taiwan
                [2] 2Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University Taoyuan, Taiwan
                [3] 3Healthy Aging Research Center, Chang Gung University Taoyuan, Taiwan
                [4] 4Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center Houston, TX, USA
                [5] 5Department of Medical Imaging and Radiological Sciences, Chang Gung University Taoyuan, Taiwan
                [6] 6Department of Physical Medicine and Rehabilitation, Division of Occupational Therapy, National Taiwan University Hospital Taipei, Taiwan
                [7] 7Department of Diagnostic Radiology, Chang Gung Memorial Hospital Keelung, Taiwan
                [8] 8MRI Center, Chang Gung Memorial Hospital Taoyuan, Taiwan
                Author notes

                Edited by: Jean-Claude Baron, University of Cambridge, UK

                Reviewed by: Martin Lotze, University of Greifswald, Germany; Erin Burke Quinlan, University of California, Irvine, USA

                *Correspondence: Keh-chung Lin, School of Occupational Therapy, College of Medicine, National Taiwan University and Division of Occupational Therapy, Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, 17 F4, Xu Zhou Road, Taipei, Taiwan kehchunglin@ 123456ntu.edu.tw

                These authors have contributed equally to this work.

                Article
                10.3389/fnhum.2015.00546
                4617387
                26557065
                e7b33b9a-7d60-4dab-8248-762c5f037886
                Copyright © 2015 Fan, Wu, Liu, Lin, Wai and Chen.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor 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.

                History
                : 23 April 2015
                : 17 September 2015
                Page count
                Figures: 3, Tables: 3, Equations: 0, References: 63, Pages: 12, Words: 8465
                Categories
                Neuroscience
                Original Research

                Neurosciences
                functional connectivity,stroke,rehabilitation,robot,fmri,motor cortex
                Neurosciences
                functional connectivity, stroke, rehabilitation, robot, fmri, motor cortex

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