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Effects of aging on cognitive and brain inter-network integration patterns underlying usual and dual-task gait performance.
Droby, Amgad; Varangis, Eleanna; Habeck, Christian; Hausdorff, Jeffrey M; Stern, Yaakov; Mirelman, Anat; Maidan, Inbal.
Afiliación
  • Droby A; Laboratory for Early Markers of Neurodegeneration (LEMON), Center for the Study of Movement, Cognition, and Mobility (CMCM), Tel Aviv Sourasky Medical Center, Neurological Institute, Tel Aviv, Israel.
  • Varangis E; Department of Neurology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel.
  • Habeck C; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv-Yafo, Israel.
  • Hausdorff JM; Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States.
  • Stern Y; Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States.
  • Mirelman A; Laboratory for Early Markers of Neurodegeneration (LEMON), Center for the Study of Movement, Cognition, and Mobility (CMCM), Tel Aviv Sourasky Medical Center, Neurological Institute, Tel Aviv, Israel.
  • Maidan I; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv-Yafo, Israel.
Front Aging Neurosci ; 14: 956744, 2022.
Article en En | MEDLINE | ID: mdl-36247996
ABSTRACT

Introduction:

Aging affects the interplay between cognition and gait performance. Neuroimaging studies reported associations between gait performance and structural measures; however, functional connectivity (FC) analysis of imaging data can help to identify dynamic neural mechanisms underlying optimal performance. Here, we investigated the effects on divergent cognitive and inter-network FC patterns underlying gait performance during usual (UW) and dual-task (DT) walking.

Methods:

A total of 115 community-dwelling, healthy participants between 20 and 80 years were enrolled. All participants underwent comprehensive cognitive and gait assessments in two conditions and resting state functional MRI (fMRI) scans. Inter-network FC from motor-related to 6 primary cognitive networks were estimated. Step-wise regression models tested the relationships between gait parameters, inter-network FC, neuropsychological scores, and demographic variables. A threshold of p < 0.05 was adopted for all statistical analyses.

Results:

UW was largely associated with FC levels between motor and sustained attention networks. DT performance was associated with inter-network FC between motor and divided attention, and processing speed in the overall group. In young adults, UW was associated with inter-network FC between motor and sustained attention networks. On the other hand, DT performance was associated with cognitive performance, as well as inter-network connectivity between motor and divided attention networks (VAN and SAL). In contrast, the older age group (> 65 years) showed increased integration between motor, dorsal, and ventral attention, as well as default-mode networks, which was negatively associated with UW gait performance. Inverse associations between motor and sustained attention inter-network connectivity and DT performance were observed.

Conclusion:

While UW relies on inter-network FC between motor and sustained attention networks, DT performance relies on additional cognitive capacities, increased motor, and executive control network integration. FC analyses demonstrate that the decline in cognitive performance with aging leads to the reliance on additional neural resources to maintain routine walking tasks.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Aging Neurosci Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Aging Neurosci Año: 2022 Tipo del documento: Article