Differential Impact of Brain Network Efficiency on Poststroke Motor and Attentional Deficits-Reference-Cited by-同舟云学术

Differential Impact of Brain Network Efficiency on Poststroke Motor and Attentional Deficits

Published:2023-04 Issue:4 Volume:54 Page:955-963
ISSN:0039-2499
Container-title:Stroke
language:en
Short-container-title:Stroke

Author:

Evangelista Giorgia G.¹²^ORCID,Egger Philip¹²^ORCID,Brügger Julia¹²^ORCID,Beanato Elena¹²^ORCID,Koch Philipp J.³⁴,Ceroni Martino¹²^ORCID,Fleury Lisa¹²^ORCID,Cadic-Melchior Andéol¹²^ORCID,Meyer Nathalie H.⁵^ORCID,Rodríguez Diego de León¹²⁵⁶^ORCID,Girard Gabriel⁷⁸⁹^ORCID,Léger Bertrand¹⁰^ORCID,Turlan Jean-Luc¹⁰^ORCID,Mühl Andreas¹⁰,Vuadens Philippe¹⁰,Adolphsen Jan¹¹,Jagella Caroline E.¹²,Constantin Christophe⁶^ORCID,Alvarez Vincent⁶,San Millán Diego⁶^ORCID,Bonvin Christophe⁶^ORCID,Morishita Takuya¹²^ORCID,Wessel Maximilian J.¹²¹³,Van De Ville Dimitri¹⁴¹⁵^ORCID,Hummel Friedhelm C.¹²¹⁶^ORCID

Affiliation:

1. Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX), École polytechnique fédérale de Lausanne (EPFL), Geneva, Switzerland (G.G.E., P.E., J.B., E.B., M.C., L.F., A.C.-M., D.d.L.R., T.M., M.J.W., F.C.H.).

2. Defitech Chair of Clinical Neuroengineering, INX, EPFL Valais, Clinique Romande de Réadaptation, Switzerland (G.G.E., P.E., J.B., E.B., M.C., L.F., A.C.-M., T.M., D.d.L.R., M.J.W., F.C.H.).

3. Department of Neurology, University of Lübeck, Germany (P.J.K.).

4. Center of Brain, Behavior and Metabolism, University of Lübeck, Germany (P.J.K.).

5. Laboratory of Cognitive Neuroscience, CNP and BMI, EPFL, Switzerland (N.H.M., D.d.L.R.).

6. Department of Neurology, Hôpital du Valais, Switzerland (C.C., V.A., D.d.L.R., D.S.M., C.B.).

7. Signal Processing Laboratory (LTS5), School of Engineering, EPFL, Switzerland (G.G.).

8. Center for Biomedical Imaging (CIBM), Switzerland (G.G.).

9. Department of Radiology, CHUV, Switzerland (G.G.).

10. Clinique Romande de Réadaptation, Switzerland (B.L., A.M., P.V., J.-L.T.).

11. Mediclin Reha-Zentrum, Germany (J.A.).

12. Migräne- und Kopfschmerzklinik Königstein, Germany (C.E.J.).

13. Department of Neurology, University Hospital Würzburg, Germany (M.J.W.).

14. Medical Image Processing Laboratory, Institute of Bioengineering, EPFL, Switzerland (D.V.D.V.).

15. Department of Radiology and Medical Informatics, University of Geneva (UNIGE), Switzerland (D.V.D.V.).

16. Clinical Neuroscience, Geneva University Hospital (HUG), Switzerland (F.C.H.).

Abstract

Background: Most studies on stroke have been designed to examine one deficit in isolation; yet, survivors often have multiple deficits in different domains. While the mechanisms underlying multiple-domain deficits remain poorly understood, network-theoretical methods may open new avenues of understanding. Methods: Fifty subacute stroke patients (7±3days poststroke) underwent diffusion-weighted magnetic resonance imaging and a battery of clinical tests of motor and cognitive functions. We defined indices of impairment in strength, dexterity, and attention. We also computed imaging-based probabilistic tractography and whole-brain connectomes. To efficiently integrate inputs from different sources, brain networks rely on a rich-club of a few hub nodes. Lesions harm efficiency, particularly when they target the rich-club. Overlaying individual lesion masks onto the tractograms enabled us to split the connectomes into their affected and unaffected parts and associate them to impairment. Results: We computed efficiency of the unaffected connectome and found it was more strongly correlated to impairment in strength, dexterity, and attention than efficiency of the total connectome. The magnitude of the correlation between efficiency and impairment followed the order attention>dexterity ≈ strength (strength: | r |=.03, P =0.02, dexterity: | r |=.30, P =0.05, attention: | r |=.55, P <0.001). Network weights associated with the rich-club were more strongly correlated to efficiency than non-rich-club weights. Conclusions: Attentional impairment is more sensitive to disruption of coordinated networks between brain regions than motor impairment, which is sensitive to disruption of localized networks. Providing more accurate reflections of actually functioning parts of the network enables the incorporation of information about the impact of brain lesions on connectomics contributing to a better understanding of underlying stroke mechanisms.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

Reference43 articles.

1. Small-World Brain Networks

2. Complex brain networks: graph theoretical analysis of structural and functional systems

3. Sporns, O. Networks of the brain. MIT Press; 2011.

4. Sporns, O. Discovering the human connectome. MIT Press; 2012.

5. Brain networks and their relevance for stroke rehabilitation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Preserved Corticospinal Tract Revealed by Acute Perfusion Imaging Relates to Better Outcome After Thrombectomy in Stroke;Stroke;2023-12