Resting-state brain network connectivity is an independent predictor of responsiveness to language therapy in chronic post-stroke aphasia

Author:

Falconer IsaacORCID,Varkanitsa Maria,Kiran Swathi

Funder

NIDCD

Publisher

Elsevier BV

Reference72 articles.

1. Parcellation-based tractographic modeling of the dorsal attention network;Allan;Brain and Behavior,2019

2. Changes in Functional connectivity of default mode network with auditory and right frontoparietal networks in poststroke aphasia;Balaev;Brain Connectivity,2016

3. Brain network topology influences response to intensive comprehensive aphasia treatment;Baliki;Neurorehabilitation,2018

4. Poststroke aphasia: Epidemiology, pathophysiology and treatment;Berthier;Drugs & Aging,2005

5. Billot, A., De Schotten, M. T., Parrish, T. B., Thompson, C. K., Rapp, B., Caplan, D., & Kiran, S. (n.d.). Structural disconnections associated with language impairments in chronic post-stroke aphasia using disconnectome maps.

Cited by 2 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. Remapping and Reconnecting the Language Network after Stroke;Brain Sciences;2024-04-24

2. Individual differences in neuroplastic recovery;Reference Module in Neuroscience and Biobehavioral Psychology;2024

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