Dynamics of brain connectivity after stroke

Article


Desowska, Adela and Turner, D. 2019. Dynamics of brain connectivity after stroke. Reviews in the Neurosciences. 30 (6), p. 605–623.
AuthorsDesowska, Adela and Turner, D.
Abstract

PURPOSE: Recovery from a stroke is a dynamic time-dependent process with the central
nervous system reorganizing to accommodate for the impact of the injury. The purpose of
this paper is to review recent longitudinal studies of changes in brain connectivity after
stroke.
METHOD: A systematic review of research papers reporting functional or effective
connectivity at two or more time points in stroke patients.
RESULTS: Stroke leads to an early reduction of connectivity in the motor network. With
recovery time, the connectivity increases and can reach the same levels as in healthy
participants. The increase in connectivity is correlated with functional motor gains. A new,
more randomized pattern of connectivity may then emerge in the longer term. In some
instances, a pattern of increased connectivity even higher than in healthy controls can be
observed, related either to a specific time point or to a specific neural structure. Rehabilitation
interventions can help improve connectivity between specific regions.
CONCLUSIONS: Motor network connectivity undergoes reorganization during recovery
from a stroke and can be related to behavioural recovery. Detailed analysis of changes in
connectivity pattern may enable a better understanding of adaptation to a stroke and how
compensatory mechanisms in the brain may be supported by rehabilitation.

JournalReviews in the Neurosciences
Journal citation30 (6), p. 605–623
ISSN0334-1763
Year2019
PublisherDe Gruyter
Accepted author manuscript
License
File Access Level
Anyone
Digital Object Identifier (DOI)doi:10.1515/revneuro-2018-0082
Web address (URL)https://doi.org/10.1515/revneuro-2018-0082
Publication dates
Online15 Feb 2019
Publication process dates
Deposited11 Feb 2019
Accepted18 Nov 2018
Accepted18 Nov 2018
Copyright holder© 2019 Walter de Gruyter GmbH
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Accepted author manuscript

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