Literature DB >> 26070983

Connectivity measures are robust biomarkers of cortical function and plasticity after stroke.

Jennifer Wu1, Erin Burke Quinlan1, Lucy Dodakian2, Alison McKenzie3, Nikhita Kathuria2, Robert J Zhou2, Renee Augsburger2, Jill See2, Vu H Le2, Ramesh Srinivasan4, Steven C Cramer5.   

Abstract

Valid biomarkers of motor system function after stroke could improve clinical decision-making. Electroencephalography-based measures are safe, inexpensive, and accessible in complex medical settings and so are attractive candidates. This study examined specific electroencephalography cortical connectivity measures as biomarkers by assessing their relationship with motor deficits across 28 days of intensive therapy. Resting-state connectivity measures were acquired four times using dense array (256 leads) electroencephalography in 12 hemiparetic patients (7.3 ± 4.0 months post-stroke, age 26-75 years, six male/six female) across 28 days of intensive therapy targeting arm motor deficits. Structural magnetic resonance imaging measured corticospinal tract injury and infarct volume. At baseline, connectivity with leads overlying ipsilesional primary motor cortex (M1) was a robust and specific marker of motor status, accounting for 78% of variance in impairment; ipsilesional M1 connectivity with leads overlying ipsilesional frontal-premotor (PM) regions accounted for most of this (R(2) = 0.51) and remained significant after controlling for injury. Baseline impairment also correlated with corticospinal tract injury (R(2) = 0.52), though not infarct volume. A model that combined a functional measure of connectivity with a structural measure of injury (corticospinal tract injury) performed better than either measure alone (R(2) = 0.93). Across the 28 days of therapy, change in connectivity with ipsilesional M1 was a good biomarker of motor gains (R(2) = 0.61). Ipsilesional M1-PM connectivity increased in parallel with motor gains, with greater gains associated with larger increases in ipsilesional M1-PM connectivity (R(2) = 0.34); greater gains were also associated with larger decreases in M1-parietal connectivity (R(2) = 0.36). In sum, electroencephalography measures of motor cortical connectivity-particularly between ipsilesional M1 and ipsilesional premotor-are strongly related to motor deficits and their improvement with therapy after stroke and so may be useful biomarkers of cortical function and plasticity. Such measures might provide a biological approach to distinguishing patient subgroups after stroke.
© The Author (2015). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  coherence; connectivity; motor; stroke

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Year:  2015        PMID: 26070983      PMCID: PMC4840951          DOI: 10.1093/brain/awv156

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  71 in total

1.  Robot-based hand motor therapy after stroke.

Authors:  Craig D Takahashi; Lucy Der-Yeghiaian; Vu Le; Rehan R Motiwala; Steven C Cramer
Journal:  Brain       Date:  2007-12-20       Impact factor: 13.501

2.  Involvement of the ipsilateral motor cortex in finger movements of different complexities.

Authors:  R Chen; C Gerloff; M Hallett; L G Cohen
Journal:  Ann Neurol       Date:  1997-02       Impact factor: 10.422

3.  Near-infrared spectroscopy-mediated neurofeedback enhances efficacy of motor imagery-based training in poststroke victims: a pilot study.

Authors:  Masahito Mihara; Noriaki Hattori; Megumi Hatakenaka; Hajime Yagura; Teiji Kawano; Taro Hino; Ichiro Miyai
Journal:  Stroke       Date:  2013-02-12       Impact factor: 7.914

4.  Functional potential in chronic stroke patients depends on corticospinal tract integrity.

Authors:  Cathy M Stinear; P Alan Barber; Peter R Smale; James P Coxon; Melanie K Fleming; Winston D Byblow
Journal:  Brain       Date:  2007-01       Impact factor: 13.501

5.  Functional MRI detects posterior shifts in primary sensorimotor cortex activation after stroke: evidence of local adaptive reorganization?

Authors:  R Pineiro; S Pendlebury; H Johansen-Berg; P M Matthews
Journal:  Stroke       Date:  2001-05       Impact factor: 7.914

6.  Resting state functional connectivity and task-related effective connectivity changes after upper extremity rehabilitation: a pilot study.

Authors:  Soha Saleh; Sergei V Adamovich; Eugene Tunik
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

7.  Targeted engagement of a dorsal premotor circuit in the treatment of post-stroke paresis.

Authors:  Lucy Dodakian; Kelli G Sharp; Jill See; Neil S Abidi; Khoa Mai; Brett W Fling; Vu H Le; Steven C Cramer
Journal:  NeuroRehabilitation       Date:  2013       Impact factor: 2.138

8.  Increase in sensorimotor cortex response to somatosensory stimulation over subacute poststroke period correlates with motor recovery in hemiparetic patients.

Authors:  Judith D Schaechter; Casper A M M van Oers; Benjamin N Groisser; Sara S Salles; Mark G Vangel; Christopher I Moore; Rick M Dijkhuizen
Journal:  Neurorehabil Neural Repair       Date:  2011-09-27       Impact factor: 3.919

9.  Neural strategies for selective attention distinguish fast-action video game players.

Authors:  Lavanya Krishnan; Albert Kang; George Sperling; Ramesh Srinivasan
Journal:  Brain Topogr       Date:  2012-05-22       Impact factor: 3.020

Review 10.  A quantitative meta-analysis and review of motor learning in the human brain.

Authors:  Robert M Hardwick; Claudia Rottschy; R Chris Miall; Simon B Eickhoff
Journal:  Neuroimage       Date:  2012-11-27       Impact factor: 6.556

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  66 in total

1.  Electroencephalography Measures are Useful for Identifying Large Acute Ischemic Stroke in the Emergency Department.

Authors:  Lauren Shreve; Arshdeep Kaur; Christopher Vo; Jennifer Wu; Jessica M Cassidy; Andrew Nguyen; Robert J Zhou; Thuong B Tran; Derek Z Yang; Ariana I Medizade; Bharath Chakravarthy; Wirachin Hoonpongsimanont; Erik Barton; Wengui Yu; Ramesh Srinivasan; Steven C Cramer
Journal:  J Stroke Cerebrovasc Dis       Date:  2019-06-04       Impact factor: 2.136

2.  The functional role of beta-oscillations in the supplementary motor area during reaching and grasping after stroke: A question of structural damage to the corticospinal tract.

Authors:  Fanny Quandt; Marlene Bönstrup; Robert Schulz; Jan E Timmermann; Maike Mund; Maximilian J Wessel; Friedhelm C Hummel
Journal:  Hum Brain Mapp       Date:  2019-03-29       Impact factor: 5.038

3.  Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke.

Authors:  Joshua Sarfaty Siegel; Lenny E Ramsey; Abraham Z Snyder; Nicholas V Metcalf; Ravi V Chacko; Kilian Weinberger; Antonello Baldassarre; Carl D Hacker; Gordon L Shulman; Maurizio Corbetta
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-11       Impact factor: 11.205

Review 4.  Spontaneous and Therapeutic-Induced Mechanisms of Functional Recovery After Stroke.

Authors:  Jessica M Cassidy; Steven C Cramer
Journal:  Transl Stroke Res       Date:  2016-04-25       Impact factor: 6.829

5.  Electroencephalographic connectivity measures predict learning of a motor sequencing task.

Authors:  Jennifer Wu; Franziska Knapp; Steven C Cramer; Ramesh Srinivasan
Journal:  J Neurophysiol       Date:  2017-11-01       Impact factor: 2.714

6.  Neuroplasticity and network connectivity of the motor cortex following stroke: A transcranial direct current stimulation study.

Authors:  Brenton Hordacre; Bahar Moezzi; Michael C Ridding
Journal:  Hum Brain Mapp       Date:  2018-04-14       Impact factor: 5.038

7.  Enhanced estimations of post-stroke aphasia severity using stacked multimodal predictions.

Authors:  Dorian Pustina; Harry Branch Coslett; Lyle Ungar; Olufunsho K Faseyitan; John D Medaglia; Brian Avants; Myrna F Schwartz
Journal:  Hum Brain Mapp       Date:  2017-08-07       Impact factor: 5.038

8.  Biomarkers of stroke recovery: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable.

Authors:  Lara A Boyd; Kathryn S Hayward; Nick S Ward; Cathy M Stinear; Charlotte Rosso; Rebecca J Fisher; Alexandre R Carter; Alex P Leff; David A Copland; Leeanne M Carey; Leonardo G Cohen; D Michele Basso; Jane M Maguire; Steven C Cramer
Journal:  Int J Stroke       Date:  2017-07       Impact factor: 5.266

9.  Low-Frequency Oscillations Are a Biomarker of Injury and Recovery After Stroke.

Authors:  Jessica M Cassidy; Anirudh Wodeyar; Jennifer Wu; Kiranjot Kaur; Ashley K Masuda; Ramesh Srinivasan; Steven C Cramer
Journal:  Stroke       Date:  2020-04-17       Impact factor: 7.914

10.  Resting-State Functional Connectivity Magnetic Resonance Imaging and Outcome After Acute Stroke.

Authors:  Josep Puig; Gerard Blasco; Angel Alberich-Bayarri; Gottfried Schlaug; Gustavo Deco; Carles Biarnes; Marian Navas-Martí; Mireia Rivero; Jordi Gich; Jaume Figueras; Cristina Torres; Pepus Daunis-I-Estadella; Celia L Oramas-Requejo; Joaquín Serena; Cathy M Stinear; Amy Kuceyeski; Carles Soriano-Mas; Götz Thomalla; Marco Essig; Chase R Figley; Bijoy Menon; Andrew Demchuk; Kambiz Nael; Max Wintermark; David S Liebeskind; Salvador Pedraza
Journal:  Stroke       Date:  2018-10       Impact factor: 7.914

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