» Articles » PMID: 26437992

Stroke Connectome and Its Implications for Cognitive and Behavioral Sequela of Stroke

Overview
Journal J Stroke
Date 2015 Oct 7
PMID 26437992
Citations 30
Authors
Affiliations
Soon will be listed here.
Abstract

Systems-based approaches to neuroscience, using network analysis and the human connectome, have been adopted by many researchers by virtue of recent progress in neuroimaging and computational technologies. Various neurological disorders have been evaluated from a network perspective, including stroke, Alzheimer's disease, Parkinson's disease, and traumatic brain injury. Until now, dynamic processes after stroke and during recovery were investigated through multimodal neuroimaging techniques. Many studies have shown disruptions in structural and functional connectivity, including in large-scale neural networks, in patients with stroke sequela such as motor weakness, aphasia, hemianopia, neglect, and general cognitive dysfunction. A connectome-based approach might shed light on the underlying mechanisms of stroke sequela and the recovery process, and could identify candidates for individualized rehabilitation programs. In this review, we briefly outline the basic concepts of structural and functional connectivity, and the connectome. Then, we explore current evidence regarding how stroke lesions cause changes in connectivity and network architecture parameters. Finally, the clinical implications of perspectives on the connectome are discussed in relation to the cognitive and behavioral sequela of stroke.

Citing Articles

Alterations in brain function in patients with post-stroke cognitive impairment: a resting-state functional magnetic resonance imaging study.

Han K, Dong L, Liao X, Long J, Chen J, Lu H Front Aging Neurosci. 2025; 17:1501082.

PMID: 40046780 PMC: 11880027. DOI: 10.3389/fnagi.2025.1501082.


Factors Influencing Poststroke Cognitive Dysfunction: Cross-Sectional Analysis.

Zhou W, Feng H, Tao H, Sun H, Zhang T, Wang Q JMIR Form Res. 2024; 8:e59572.

PMID: 39560985 PMC: 11615546. DOI: 10.2196/59572.


Functional brain connectivity in young adults with post-stroke epilepsy.

Boot E, Omes Q, Maaijwee N, Schaapsmeerders P, Arntz R, Rutten-Jacobs L Brain Commun. 2023; 5(6):fcad277.

PMID: 37953839 PMC: 10639092. DOI: 10.1093/braincomms/fcad277.


Posterior parietal cortical areas and recovery after motor stroke: a scoping review.

Reibelt A, Quandt F, Schulz R Brain Commun. 2023; 5(5):fcad250.

PMID: 37810465 PMC: 10551853. DOI: 10.1093/braincomms/fcad250.


Structural connectivity-based predictors of cognitive impairment in stroke patients attributable to aging.

Rehak Buckova B, Kala D, Korenek J, Matuskova V, Kumpost V, Svobodova L PLoS One. 2023; 18(4):e0280892.

PMID: 37058495 PMC: 10104329. DOI: 10.1371/journal.pone.0280892.


References
1.
Greicius M, Supekar K, Menon V, Dougherty R . Resting-state functional connectivity reflects structural connectivity in the default mode network. Cereb Cortex. 2008; 19(1):72-8. PMC: 2605172. DOI: 10.1093/cercor/bhn059. View

2.
Dacosta-Aguayo R, Grana M, Fernandez-Andujar M, Lopez-Cancio E, Caceres C, Bargallo N . Structural integrity of the contralesional hemisphere predicts cognitive impairment in ischemic stroke at three months. PLoS One. 2014; 9(1):e86119. PMC: 3901679. DOI: 10.1371/journal.pone.0086119. View

3.
Carter A, Astafiev S, Lang C, Connor L, Rengachary J, Strube M . Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke. Ann Neurol. 2010; 67(3):365-75. PMC: 2927671. DOI: 10.1002/ana.21905. View

4.
Bonilha L, Gleichgerrcht E, Nesland T, Rorden C, Fridriksson J . Success of Anomia Treatment in Aphasia Is Associated With Preserved Architecture of Global and Left Temporal Lobe Structural Networks. Neurorehabil Neural Repair. 2015; 30(3):266-79. PMC: 4703576. DOI: 10.1177/1545968315593808. View

5.
Risher W, Croom D, Kirov S . Persistent astroglial swelling accompanies rapid reversible dendritic injury during stroke-induced spreading depolarizations. Glia. 2012; 60(11):1709-20. PMC: 3435464. DOI: 10.1002/glia.22390. View