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Recovery of slow-5 oscillations in a longitudinal study of ischemic stroke patients.
La, C; Nair, V A; Mossahebi, P; Stamm, J; Birn, R; Meyerand, M E; Prabhakaran, V.
Afiliação
  • La C; Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI 53706, USA; Department of Radiology, University of Wisconsin-Madison, Madison, WI 53792, USA. Electronic address: cla@wisc.edu.
  • Nair VA; Department of Radiology, University of Wisconsin-Madison, Madison, WI 53792, USA.
  • Mossahebi P; Department of Radiology, University of Wisconsin-Madison, Madison, WI 53792, USA.
  • Stamm J; Department of Radiology, University of Wisconsin-Madison, Madison, WI 53792, USA.
  • Birn R; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53705, USA.
  • Meyerand ME; Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI 53706, USA; Department of Radiology, University of Wisconsin-Madison, Madison, WI 53792, USA; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Bio-Medical Engineering, Uni
  • Prabhakaran V; Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI 53706, USA; Department of Radiology, University of Wisconsin-Madison, Madison, WI 53792, USA; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Psychiatry, University of Wi
Neuroimage Clin ; 11: 398-407, 2016.
Article em En | MEDLINE | ID: mdl-27077023
Functional networks in resting-state fMRI are identified by characteristics of their intrinsic low-frequency oscillations, more specifically in terms of their synchronicity. With advanced aging and in clinical populations, this synchronicity among functionally linked regions is known to decrease and become disrupted, which may be associated with observed cognitive and behavioral changes. Previous work from our group has revealed that oscillations within the slow-5 frequency range (0.01-0.027 Hz) are particularly susceptible to disruptions in aging and following a stroke. In this study, we characterized longitudinally the changes in the slow-5 oscillations in stroke patients across two different time-points. We followed a group of ischemic stroke patients (n = 20) and another group of healthy older adults (n = 14) over two visits separated by a minimum of three months (average of 9 months). For the stroke patients, one visit occurred in their subacute window (10 days to 6 months after stroke onset), the other took place in their chronic window (> 6 months after stroke). Using a mid-order group ICA method on 10-minutes eyes-closed resting-state fMRI data, we assessed the frequency distributions of a component's representative time-courses for differences in regards to slow-5 spectral power. First, our stroke patients, in their subacute stage, exhibited lower amplitude slow-5 oscillations in comparison to their healthy counterparts. Second, over time in their chronic stage, those same patients showed a recovery of those oscillations, reaching near equivalence to the healthy older adult group. Our results indicate the possibility of an eventual recovery of those initially disrupted network oscillations to a near-normal level, providing potentially a biomarker for stroke recovery of the cortical system. This finding opens new avenues in infra-slow oscillation research and could serve as a useful biomarker in future treatments aimed at recovery.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recuperação de Função Fisiológica / Acidente Vascular Cerebral / Ondas Encefálicas Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recuperação de Função Fisiológica / Acidente Vascular Cerebral / Ondas Encefálicas Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2016 Tipo de documento: Article