Changes in dynamic resting state network connectivity following aphasia therapy.

Resting state magnetic resonance imaging (rsfMRI) permits observation of intrinsic neural networks produced by task-independent correlations in low frequency brain activity. Various resting state networks have been described, with each thought to reflect common engagement in some shared function. Th...

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Publicado en:Brain Imaging & Behavior Vol. 12; no. 4; pp. 1141 - 1150
Autores principales: Duncan, E. Susan, Small, Steven L.
Formato: Journal Article
Publicado: Springer Nature Aug2018
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Changes in dynamic resting state network connectivity following aphasia therapy.
      aug:
        au:
          Duncan, E. Susan
          Small, Steven L.
        affil: Departments of Cognitive Sciences and Neurology, University of California, Irvine, 92697, Irvine, CA, USA
      sug:
        subj:
          Aphasia Physiopathology
          Brain Physiopathology
          Aphasia Rehabilitation
          Recovery Physiology
          Aged
          Aphasia Etiology
          Neural Pathways
          Stroke Physiopathology
          Middle Age
          Adult
          Male
          Neuronal Plasticity
          Magnetic Resonance Imaging
          Treatment Outcomes
          Brain Mapping
          Stroke Complications
          Female
          Narratives
          Aphasia
          Stroke
          Therapy, Computer Assisted
          Neural Pathways Physiopathology
          Brain
          Clinical Assessment Tools
          Scales
          Aged: 65+ years
          Middle Aged: 45-64 years
          Adult: 19-44 years
          Male
          Female
      ab: Resting state magnetic resonance imaging (rsfMRI) permits observation of intrinsic neural networks produced by task-independent correlations in low frequency brain activity. Various resting state networks have been described, with each thought to reflect common engagement in some shared function. There has been limited investigation of the plasticity in these network relationships after stroke or induced by therapy. Twelve individuals with language disorders after stroke (aphasia) were imaged at multiple time points before (baseline) and after an imitation-based aphasia therapy. Language assessment using a narrative production task was performed at the same time points. Group independent component analysis (ICA) was performed on the rsfMRI data to identify resting state networks. A sliding window approach was then applied to assess the dynamic nature of the correlations among these networks. Network correlations during each 30-second window were used to cluster the data into ten states for each window at each time point for each subject. Correlation was performed between changes in time spent in each state and therapeutic gains on the narrative task. The amount of time spent in a single one of the (ten overall) dynamic states was positively associated with behavioral improvement on the narrative task at the 6-week post-therapy maintenance interval, when compared with either baseline or assessment immediately following therapy. This particular state was characterized by minimal correlation among the task-independent resting state networks. Increased functional independence and segregation of resting state networks underlies improvement on a narrative production task following imitation-based aphasia treatment. This has important clinical implications for the targeting of noninvasive brain stimulation in post-stroke remediation.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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