Attention and Motor Network Connectivity Predicts Spatial Neglect after Right Brain Stroke

2018 ◽  
Vol 99 (12) ◽  
pp. e192-e193
Author(s):  
Olga Boukrina ◽  
A.M. Barrett ◽  
Soha Saleh ◽  
Amit Chaudhari
Cortex ◽  
2016 ◽  
Vol 77 ◽  
pp. 54-68 ◽  
Author(s):  
Maarten J. Vaessen ◽  
Arnaud Saj ◽  
Karl-Olof Lovblad ◽  
Markus Gschwind ◽  
Patrik Vuilleumier

eLife ◽  
2014 ◽  
Vol 3 ◽  
Author(s):  
Charlotte J Stagg ◽  
Velicia Bachtiar ◽  
Ugwechi Amadi ◽  
Christel A Gudberg ◽  
Andrei S Ilie ◽  
...  

Anatomically plausible networks of functionally inter-connected regions have been reliably demonstrated at rest, although the neurochemical basis of these ‘resting state networks’ is not well understood. In this study, we combined magnetic resonance spectroscopy (MRS) and resting state fMRI and demonstrated an inverse relationship between levels of the inhibitory neurotransmitter GABA within the primary motor cortex (M1) and the strength of functional connectivity across the resting motor network. This relationship was both neurochemically and anatomically specific. We then went on to show that anodal transcranial direct current stimulation (tDCS), an intervention previously shown to decrease GABA levels within M1, increased resting motor network connectivity. We therefore suggest that network-level functional connectivity within the motor system is related to the degree of inhibition in M1, a major node within the motor network, a finding in line with converging evidence from both simulation and empirical studies.


2019 ◽  
Vol 30 (6) ◽  
pp. 605-623 ◽  
Author(s):  
Adela Desowska ◽  
Duncan L. Turner

Abstract Recovery from a stroke is a dynamic time-dependent process, in which the central nervous system reorganises 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. A systematic review of research papers reporting functional or effective connectivity at two or more time points in stroke patients was conducted. 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 randomised 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, and is related either to a specific time point or to a specific neural structure. Rehabilitation interventions can help improve connectivity between specific regions. Moreover, motor network connectivity undergoes reorganisation during recovery from a stroke and can be related to behavioural recovery. A 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.


2015 ◽  
Vol 126 (8) ◽  
pp. e134
Author(s):  
C. Nettekoven ◽  
L.J. Volz ◽  
M. Kutscha ◽  
E.-M. Pool ◽  
S.B. Eickhoff ◽  
...  

2017 ◽  
Vol 34 (22) ◽  
pp. 3117-3123 ◽  
Author(s):  
Jaclyn A. Stephens ◽  
Cynthia E. Salorio ◽  
Jerald P. Gomes ◽  
Mary Beth Nebel ◽  
Stewart H. Mostofsky ◽  
...  

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