Literature DB >> 29130824

Longitudinal Structural and Functional Differences Between Proportional and Poor Motor Recovery After Stroke.

Adrian G Guggisberg1,2, Pierre Nicolo1,2, Leonardo G Cohen3, Armin Schnider1,2, Ethan R Buch3.   

Abstract

BACKGROUND: Evolution of motor function during the first months after stroke is stereotypically bifurcated, consisting of either recovery to about 70% of maximum possible improvement ("proportional recovery, PROP") or in little to no improvement ("poor recovery, POOR"). There is currently no evidence that any rehabilitation treatment will prevent POOR and favor PROP.
OBJECTIVE: To perform a longitudinal and multimodal assessment of functional and structural changes in brain organization associated with PROP.
METHODS: Fugl-Meyer Assessments of the upper extremity and high-density electroencephalography (EEG) were obtained from 63 patients, diffusion tensor imaging from 46 patients, at 2 and 4 weeks (T0) and at 3 months (T1) after stroke onset.
RESULTS: We confirmed the presence of 2 distinct recovery patterns (PROP and POOR) in our sample. At T0, PROP patients had greater integrity of the corticospinal tract (CST) and greater EEG functional connectivity (FC) between the affected hemisphere and rest of the brain, in particular between the ventral premotor and the primary motor cortex. POOR patients suffered from degradation of corticocortical and corticofugal fiber tracts in the affected hemisphere between T0 and T1, which was not observed in PROP patients. Better initial CST integrity correlated with greater initial global FC, which was in turn associated with less white matter degradation between T0 and T1.
CONCLUSIONS: These findings suggest links between initial CST integrity, systems-level cortical network plasticity, reduction of white matter atrophy, and clinical motor recovery after stroke. This identifies candidate treatment targets.

Entities:  

Keywords:  diffusion tensor imaging; electroencephalography; motor function; plasticity; stroke

Mesh:

Year:  2017        PMID: 29130824      PMCID: PMC6368856          DOI: 10.1177/1545968317740634

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  59 in total

1.  Identifying true brain interaction from EEG data using the imaginary part of coherency.

Authors:  Guido Nolte; Ou Bai; Lewis Wheaton; Zoltan Mari; Sherry Vorbach; Mark Hallett
Journal:  Clin Neurophysiol       Date:  2004-10       Impact factor: 3.708

2.  Analysis of weighted networks.

Authors:  M E J Newman
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-11-24

3.  Asymptotic SNR of scalar and vector minimum-variance beamformers for neuromagnetic source reconstruction.

Authors:  Kensuke Sekihara; Srikantan S Nagarajan; David Poeppel; Alec Marantz
Journal:  IEEE Trans Biomed Eng       Date:  2004-10       Impact factor: 4.538

4.  RESTORE: robust estimation of tensors by outlier rejection.

Authors:  Lin-Ching Chang; Derek K Jones; Carlo Pierpaoli
Journal:  Magn Reson Med       Date:  2005-05       Impact factor: 4.668

5.  Group imaging of task-related changes in cortical synchronisation using nonparametric permutation testing.

Authors:  Krish D Singh; Gareth R Barnes; Arjan Hillebrand
Journal:  Neuroimage       Date:  2003-08       Impact factor: 6.556

6.  The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance.

Authors:  A R Fugl-Meyer; L Jääskö; I Leyman; S Olsson; S Steglind
Journal:  Scand J Rehabil Med       Date:  1975

7.  Time course of wallerian degeneration after ischaemic stroke revealed by diffusion tensor imaging.

Authors:  G Thomalla; V Glauche; C Weiller; J Röther
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-02       Impact factor: 10.154

Review 8.  The fugl-meyer assessment of motor recovery after stroke: a critical review of its measurement properties.

Authors:  David J Gladstone; Cynthia J Danells; Sandra E Black
Journal:  Neurorehabil Neural Repair       Date:  2002-09       Impact factor: 3.919

9.  Synchronous neuronal activity is a signal for axonal sprouting after cortical lesions in the adult.

Authors:  S Thomas Carmichael; Marie-Françoise Chesselet
Journal:  J Neurosci       Date:  2002-07-15       Impact factor: 6.167

10.  Diffusion tensor imaging detects early Wallerian degeneration of the pyramidal tract after ischemic stroke.

Authors:  Götz Thomalla; Volkmar Glauche; Martin A Koch; Christian Beaulieu; Cornelius Weiller; Joachim Röther
Journal:  Neuroimage       Date:  2004-08       Impact factor: 6.556

View more
  15 in total

1.  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

Review 2.  Optimizing functional outcome endpoints for stroke recovery studies.

Authors:  Mustafa Balkaya; Sunghee Cho
Journal:  J Cereb Blood Flow Metab       Date:  2019-09-14       Impact factor: 6.200

Review 3.  Brain networks and their relevance for stroke rehabilitation.

Authors:  Adrian G Guggisberg; Philipp J Koch; Friedhelm C Hummel; Cathrin M Buetefisch
Journal:  Clin Neurophysiol       Date:  2019-04-15       Impact factor: 3.708

4.  Predicting upper extremity motor improvement following therapy using EEG-based connectivity in chronic stroke.

Authors:  Amanda A Vatinno; Christian Schranz; Annie N Simpson; Viswanathan Ramakrishnan; Leonardo Bonilha; N J Seo
Journal:  NeuroRehabilitation       Date:  2022       Impact factor: 2.138

5.  The Prognostic Utility of Electroencephalography in Stroke Recovery: A Systematic Review and Meta-Analysis.

Authors:  Amanda A Vatinno; Annie Simpson; Viswanathan Ramakrishnan; Heather S Bonilha; Leonardo Bonilha; Na Jin Seo
Journal:  Neurorehabil Neural Repair       Date:  2022-03-20       Impact factor: 3.919

6.  The predictive value of lesion and disconnectome loads for upper limb motor impairment after stroke.

Authors:  Chang-Hyun Park; Suk Hoon Ohn
Journal:  Neurol Sci       Date:  2021-11-29       Impact factor: 3.830

Review 7.  Axonal remodeling of the corticospinal tract during neurological recovery after stroke.

Authors:  Zhongwu Liu; Hongqi Xin; Michael Chopp
Journal:  Neural Regen Res       Date:  2021-05       Impact factor: 5.135

8.  Neuronal Network Topology Indicates Distinct Recovery Processes after Stroke.

Authors:  Shahrzad Latifi; Simon Mitchell; Rouhollah Habibey; Fouzhan Hosseini; Elissa Donzis; Ana María Estrada-Sánchez; H Rezaei Nejad; Michael Levine; Peyman Golshani; S Thomas Carmichael
Journal:  Cereb Cortex       Date:  2020-11-03       Impact factor: 5.357

Review 9.  Neurotechnology-aided interventions for upper limb motor rehabilitation in severe chronic stroke.

Authors:  Martina Coscia; Maximilian J Wessel; Ujwal Chaudary; José Del R Millán; Silvestro Micera; Adrian Guggisberg; Philippe Vuadens; John Donoghue; Niels Birbaumer; Friedhelm C Hummel
Journal:  Brain       Date:  2019-08-01       Impact factor: 13.501

10.  Predicting Upper Limb Motor Impairment Recovery after Stroke: A Mixture Model.

Authors:  Rick van der Vliet; Ruud W Selles; Eleni-Rosalina Andrinopoulou; Rinske Nijland; Gerard M Ribbers; Maarten A Frens; Carel Meskers; Gert Kwakkel
Journal:  Ann Neurol       Date:  2020-01-25       Impact factor: 10.422

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.