Literature DB >> 17429001

Answering the call: the influence of neuroimaging and electrophysiological evidence on rehabilitation.

Lara A Boyd1, Eric D Vidoni, Janis J Daly.   

Abstract

Functional recovery after brain damage or disease is dependent on the neuroplastic capability of the cortex and the nonaffected brain. Following cortical injury in the motor and sensory regions, the adjacent spared neural tissues and related areas undergo modifications that are required in order to drive more normal motor control. Current rehabilitation models seek to stimulate functional recovery by capitalizing on the inherent potential of the brain for positive reorganization after neurological injury or disease. This article discusses how neuroimaging and electrophysiological data can inform clinical practice; representative data from the modalities of functional magnetic resonance imaging, diffusion tensor imaging, magnetoencephalography, electroencephalography, and positron emission tomography are cited. Data from a variety of central nervous system disease and damage models are presented to illustrate how rehabilitation practices are beginning to be shaped and informed by neuroimaging and electrophysiological data.

Entities:  

Mesh:

Year:  2007        PMID: 17429001     DOI: 10.2522/ptj.20060164

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  11 in total

1.  Implicit sequence-specific motor learning after subcortical stroke is associated with increased prefrontal brain activations: an fMRI study.

Authors:  Sean K Meehan; Bubblepreet Randhawa; Brenda Wessel; Lara A Boyd
Journal:  Hum Brain Mapp       Date:  2011-02       Impact factor: 5.038

2.  Functional neuroimaging: a brief overview and feasibility for use in chiropractic research.

Authors:  Reidar P Lystad; Henry Pollard
Journal:  J Can Chiropr Assoc       Date:  2009-03

3.  Cognitive load reduces the effects of optic flow on gait and electrocortical dynamics during treadmill walking.

Authors:  Brenda R Malcolm; John J Foxe; John S Butler; Sophie Molholm; Pierfilippo De Sanctis
Journal:  J Neurophysiol       Date:  2018-08-01       Impact factor: 2.714

4.  Constraint-induced movement therapy as a paradigm of translational research in neurorehabilitation: Reviews and prospects.

Authors:  Wei-Chao Huang; Yun-Ju Chen; Chung-Liang Chien; Haruo Kashima; Keh-Chung Lin
Journal:  Am J Transl Res       Date:  2010-10-03       Impact factor: 4.060

5.  One-year retention of general and sequence-specific skills in a probabilistic, serial reaction time task.

Authors:  Jennifer C Romano; James H Howard; Darlene V Howard
Journal:  Memory       Date:  2010-04-20

Review 6.  Reorganization of brain function during force production after stroke: a systematic review of the literature.

Authors:  Kristen J Kokotilo; Janice J Eng; Lara A Boyd
Journal:  J Neurol Phys Ther       Date:  2009-03       Impact factor: 3.649

7.  An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions.

Authors:  Joseph T Gwin; Daniel P Ferris
Journal:  J Neuroeng Rehabil       Date:  2012-06-09       Impact factor: 4.262

8.  Associations between Proprioceptive Neural Pathway Structural Connectivity and Balance in People with Multiple Sclerosis.

Authors:  Brett W Fling; Geetanjali Gera Dutta; Heather Schlueter; Michelle H Cameron; Fay B Horak
Journal:  Front Hum Neurosci       Date:  2014-10-20       Impact factor: 3.169

9.  The effects of augmented visual feedback during balance training in Parkinson's disease: study design of a randomized clinical trial.

Authors:  Maarten R C van den Heuvel; Erwin E H van Wegen; Cees J T de Goede; Ingrid A L Burgers-Bots; Peter J Beek; Andreas Daffertshofer; Gert Kwakkel
Journal:  BMC Neurol       Date:  2013-10-04       Impact factor: 2.474

Review 10.  A Review of Transcranial Magnetic Stimulation and Multimodal Neuroimaging to Characterize Post-Stroke Neuroplasticity.

Authors:  Angela M Auriat; Jason L Neva; Sue Peters; Jennifer K Ferris; Lara A Boyd
Journal:  Front Neurol       Date:  2015-10-29       Impact factor: 4.003

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