Functional connectivity is preserved but reorganized across several anesthetic regimes.


Journal

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

Informations de publication

Date de publication:
01 10 2020
Historique:
received: 11 09 2019
revised: 21 04 2020
accepted: 11 05 2020
pubmed: 5 6 2020
medline: 25 2 2021
entrez: 5 6 2020
Statut: ppublish

Résumé

Under anesthesia, systemic variables and CBF are modified. How does this alter the connectivity measures obtained with rs-fMRI? To tackle this question, we explored the effect of four different anesthetics on Long Evans and Wistar rats with multimodal recordings of rs-fMRI, systemic variables and CBF. After multimodal signal processing, we show that the blood-oxygen-level-dependent (BOLD) variations and functional connectivity (FC) evaluated at low frequencies (0.031-0.25 ​Hz) do not depend on systemic variables and are preserved across a large interval of baseline CBF values. Based on these findings, we found that most brain areas remain functionally active under any anesthetics, i.e. connected to at least one other brain area, as shown by the connectivity graphs. In addition, we quantified the influence of nodes by a measure of functional connectivity strength to show the specific areas targeted by anesthetics and compare correlation values of edges at different levels. These measures enable us to highlight the specific network alterations induced by anesthetics. Altogether, this suggests that changes in connectivity could be evaluated under anesthesia, routinely used in the control of neurological injury.

Identifiants

pubmed: 32497787
pii: S1053-8119(20)30431-6
doi: 10.1016/j.neuroimage.2020.116945
pii:
doi:

Substances chimiques

Anesthetics, Inhalation 0
Anesthetics, Intravenous 0
Urethane 3IN71E75Z5
Isoflurane CYS9AKD70P
Medetomidine MR15E85MQM
Etomidate Z22628B598

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

116945

Informations de copyright

Copyright © 2020. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors have no conflict of interests.

Auteurs

Guillaume J-P C Becq (GJC)

Univ. Grenoble Alpes, CNRS, Gipsa-lab, F-38000, Grenoble, France. Electronic address: guillaume.becq@grenoble-inp.fr.

Tarik Habet (T)

Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, GIN, F-38000, Grenoble, France.

Nora Collomb (N)

Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, GIN, F-38000, Grenoble, France; Univ. Grenoble Alpes, Inserm, UMS017, CNRS, US3552, CHU Grenoble Alpes, IRMaGe, F-38000, Grenoble, France.

Margaux Faucher (M)

Univ. Grenoble Alpes, CNRS, Gipsa-lab, F-38000, Grenoble, France; Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, GIN, F-38000, Grenoble, France.

Chantal Delon-Martin (C)

Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, GIN, F-38000, Grenoble, France.

Véronique Coizet (V)

Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, GIN, F-38000, Grenoble, France.

Sophie Achard (S)

Univ. Grenoble Alpes, CNRS, Gipsa-lab, F-38000, Grenoble, France; Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000, Grenoble, France. Electronic address: sophie.achard@univ-grenoble-alpes.fr.

Emmanuel L Barbier (EL)

Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, GIN, F-38000, Grenoble, France; Univ. Grenoble Alpes, Inserm, UMS017, CNRS, US3552, CHU Grenoble Alpes, IRMaGe, F-38000, Grenoble, France. Electronic address: emmanuel.barbier@univ-grenoble-alpes.fr.

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Classifications MeSH