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

被引：1

作者：

Evangelista, Giorgia G. ^{[1
,2
]}

Egger, Philip ^{[1
,2
]}

Bruegger, Julia ^{[1
,2
]}

Beanato, Elena ^{[1
,2
]}

Koch, Philipp J. ^{[3
,4
]}

Ceroni, Martino ^{[1
,2
]}

Fleury, Lisa ^{[1
,2
]}

Cadic-Melchior, Andeol ^{[1
,2
]}

Meyer, Nathalie H. ^{[5
,6
]}

Rodriguez, Diego de Leon ^{[1
,2
,5
,6
,13
]}

Girard, Gabriel ^{[7
,8
,9
]}

Leger, Bertrand ^{[10
]}

Turlan, Jean-Luc ^{[10
]}

Muehl, Andreas ^{[10
]}

Vuadens, Philippe ^{[10
]}

Adolphsen, Jan ^{[11
]}

Jagella, Caroline E. ^{[12
]}

Constantin, Christophe ^{[13
]}

Alvarez, Vincent ^{[13
]}

Millan, Diego San ^{[13
]}

Bonvin, Christophe ^{[13
]}

Morishita, Takuya ^{[1
,2
]}

Wessel, Maximilian J. ^{[1
,2
,14
]}

Van De Ville, Dimitri ^{[15
,16
]}

Hummel, Friedhelm C. ^{[1
,2
,17
,18
]}

机构：

[1] Ecole Polytech Fed Lausanne EPFL, NeuroX Inst INX, Defitech Chair Clin Neuroengn, Geneva, Switzerland

[2] EPFL Valais, Defitech Chair Clin Neuroengn, INX, Clin Romande Readaptat, Sion, Switzerland

[3] Univ Lubeck, Dept Neurol, Lubeck, Germany

[4] Univ Lubeck, Ctr Brain Behav & Metab, Lubeck, Germany

[5] Ecole Polytech Fed Lausanne, Lab Cognit Neurosci, CNP, Lausanne, Switzerland

[6] Ecole Polytech Fed Lausanne, BMI, Lausanne, Switzerland

[7] Ecole Polytech Fed Lausanne, Sch Engn, Signal Proc Lab LTS5, Lausanne, Switzerland

[8] Ctr Biomed Imaging CIBM, Lausanne, Switzerland

[9] CHU Vaudois, Dept Radiol, Lausanne, Switzerland

[10] Clin Romande Readaptat, Sion, Switzerland

[11] Mediclin Reha Zentrum, Bad Duben, Germany

[12] Migrane & Kopfschmerzklin Konigstein, Konigstein, Germany

[13] Hop Valais, Dept Neurol, Sion, Switzerland

[14] Univ Hosp Wurzburg, Dept Neurol, Wurzburg, Germany

[15] Ecole Polytech Fed Lausanne, Inst Bioengn, Med Image Proc Lab, Lausanne, Switzerland

[16] Univ Geneva UNIGE, Dept Radiol & Med Informat, Geneva, Switzerland

[17] Geneva Univ Hosp HUG, Clin Neurosci, Geneva, Switzerland

[18] EPFL Valais, CRR, Av Grand Champsec 90, CH-1951 Sion, Switzerland

来源：

STROKE | 2023年 / 54卷 / 04期

关键词：

attention; connectivity; motor; stroke; structural MRI; RICH-CLUB ORGANIZATION; DIFFUSION MRI; PINCH STRENGTH; STROKE; RECOVERY; RELIABILITY; VALIDITY; NORMS; GRIP;

D O I：

10.1161/STROKEAHA.122.040001

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

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 approximate to 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.

引用

页码：955 / 963

页数：9

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