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Relationship between structural and functional connectivity change across the adult lifespan: A longitudinal investigation.
Fjell, Anders M; Sneve, Markus H; Grydeland, Håkon; Storsve, Andreas B; Amlien, Inge K; Yendiki, Anastasia; Walhovd, Kristine B.
Afiliação
  • Fjell AM; Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway, Pb. 1094 Blindern, Oslo, 0317, Norway.
  • Sneve MH; Department of Physical Medicine and Rehabilitation, Unit of neuropsychology, Oslo University Hospital, Norway.
  • Grydeland H; Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway, Pb. 1094 Blindern, Oslo, 0317, Norway.
  • Storsve AB; Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway, Pb. 1094 Blindern, Oslo, 0317, Norway.
  • Amlien IK; Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway, Pb. 1094 Blindern, Oslo, 0317, Norway.
  • Yendiki A; Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway, Pb. 1094 Blindern, Oslo, 0317, Norway.
  • Walhovd KB; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Hum Brain Mapp ; 38(1): 561-573, 2017 01.
Article em En | MEDLINE | ID: mdl-27654880
ABSTRACT
Extensive efforts are devoted to understand the functional (FC) and structural connections (SC) of the brain. FC is usually measured by functional magnetic resonance imaging (fMRI), and conceptualized as degree of synchronicity in brain activity between different regions. SC is typically indexed by measures of white matter (WM) properties, for example, by diffusion weighted imaging (DWI). FC and SC are intrinsically related, in that coordination of activity across regions ultimately depends on fast and efficient transfer of information made possible by structural connections. Convergence between FC and SC has been shown for specific networks, especially the default mode network (DMN). However, it is not known to what degree FC is constrained by major WM tracts and whether FC and SC change together over time. Here, 120 participants (20-85 years) were tested at two time points, separated by 3.3 years. Resting-state fMRI was used to measure FC, and DWI to measure WM microstructure as an index of SC. TRACULA, part of FreeSurfer, was used for automated tractography of 18 major WM tracts. Cortical regions with tight structural couplings defined by tractography were only weakly related at the functional level. Certain regions of the DMN showed a modest relationship between change in FC and SC, but for the most part, the two measures changed independently. The main conclusions are that anatomical alignment of SC and FC seems restricted to specific networks and tracts, and that changes in SC and FC are not necessarily strongly correlated. Hum Brain Mapp 38561-573, 2017. © 2016 Wiley Periodicals, Inc.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Modelos Neurológicos / Vias Neurais Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Modelos Neurológicos / Vias Neurais Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article