Evidence for wakefulness-related changes to extracellular space in human brain white matter from diffusion-weighted MRI.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 05 2020
Historique:
received: 30 10 2019
revised: 29 01 2020
accepted: 24 02 2020
pubmed: 3 3 2020
medline: 16 2 2021
entrez: 2 3 2020
Statut: ppublish

Résumé

Recently, several magnetic resonance imaging (MRI) studies have reported time-of-day effects on brain structure and function. Due to the possibility that time-of-day effects reflect mechanisms of circadian regulation, the aim of this prospective study was to assess these effects while under strict experimental control of variables that might influence biological clocks, such as caffeine intake and exposure to blue-emitting light. In addition, the current study assessed whether time-of-day effects were driven by changes to extracellular space, by including estimations of non-Gaussian diffusion metrics obtained from diffusion kurtosis imaging, white matter tract integrity and the spherical mean technique, in addition to conventional diffusion tensor imaging -derived parameters. Participants were 47 healthy adults who underwent diffusion-weighted imaging in the morning and evening of the same day. Morning and evening scans were compared using voxel-wise tract based spatial statistics and permutation testing. A day of wakefulness was associated with widespread increases in fractional anisotropy, indices of kurtosis and indices of the axonal water fraction. In addition, wakefulness was associated with widespread decreases in radial diffusivity, both in the single compartment and in extra-axonal space. These results suggest that an increase in the intra-axonal space relative to the extra-axonal volume underlies time-of-day effects in human white matter, which is in line with activity-induced reductions to the extracellular volume. These findings provide important insight into possible mechanisms driving time-of-day effects in MRI.

Identifiants

pubmed: 32114147
pii: S1053-8119(20)30169-5
doi: 10.1016/j.neuroimage.2020.116682
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

116682

Informations de copyright

Copyright © 2020. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest None.

Auteurs

Irene Voldsbekk (I)

Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Oslo, Norway.

Ivan I Maximov (II)

Department of Psychology, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Oslo, Norway.

Nathalia Zak (N)

Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.

Daniël Roelfs (D)

Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Oslo, Norway.

Oliver Geier (O)

Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.

Paulina Due-Tønnessen (P)

Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.

Torbjørn Elvsåshagen (T)

Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Neurology, Oslo University Hospital, Oslo, Norway.

Marie Strømstad (M)

Department of Psychology, University of Oslo, Oslo, Norway.

Atle Bjørnerud (A)

Department of Psychology, University of Oslo, Oslo, Norway; Department of Physics, University of Oslo, Oslo, Norway; Computational Radiology and Artificial Intelligence (CRAI), Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.

Inge Groote (I)

Computational Radiology and Artificial Intelligence (CRAI), Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway. Electronic address: inrasm@ous-hf.no.

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