Classification of temporal ICA components for separating global noise from fMRI data: Reply to Power.

Artifacts Brain / physiology Brain Mapping / methods Data Interpretation, Statistical Humans Image Processing, Computer-Assisted / methods Magnetic Resonance Imaging Principal Component Analysis Signal Processing, Computer-Assisted

Journal

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

Informations de publication

Date de publication:
15 08 2019
Historique:
received: 27 01 2019
revised: 11 04 2019
accepted: 17 04 2019
pubmed: 27 4 2019
medline: 11 2 2020
entrez: 27 4 2019
Statut: ppublish

Résumé

We respond to a critique of our temporal Independent Components Analysis (ICA) method for separating global noise from global signal in fMRI data that focuses on the signal versus noise classification of several components. While we agree with several of Power's comments, we provide evidence and analysis to rebut his major criticisms and to reassure readers that temporal ICA remains a powerful and promising denoising approach.

Identifiants

DOI: 10.1016/j.neuroimage.2019.04.046 PMID: 31026516 PMC: PMC6591096
pubmed: 31026516
pii: S1053-8119(19)30332-5
doi: 10.1016/j.neuroimage.2019.04.046
pmc: PMC6591096
mid: NIHMS1529220
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

435-438

Subventions

Organisme : NIMH NIH HHS
ID : F30 MH097312
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH060974
Pays : United States
Organisme : NIMH NIH HHS
ID : U54 MH091657
Pays : United States
Organisme : Wellcome Trust
Pays : United Kingdom

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Références

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pubmed: 27751941

Auteurs

Matthew F Glasser (MF)

Department of Neuroscience, Washington University Medical School, Saint Louis, MI, 63110, USA; Department of Radiology, Washington University Medical School, Saint Louis, MI, 63110, USA; St. Luke's Hospital, Saint Louis, MI, 63017, USA. Electronic address: glasserm@wustl.edu.

Timothy S Coalson (TS)

Department of Neuroscience, Washington University Medical School, Saint Louis, MI, 63110, USA.

Janine D Bijsterbosch (JD)

Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK.

Samuel J Harrison (SJ)

Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK; Translational Neuromodeling Unit, University of Zurich & ETH Zurich, Wilfriedstrasse 6, 8032, Zurich, Switzerland.

Michael P Harms (MP)

Department of Psychiatry, Washington University Medical School, Saint Louis, MO, USA.

Alan Anticevic (A)

Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT, 06511, USA.

David C Van Essen (DC)

Department of Neuroscience, Washington University Medical School, Saint Louis, MI, 63110, USA.

Stephen M Smith (SM)

Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK.

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Classifications MeSH

questionsmedicales.fr › Techniques d'investigation › Artéfacts › Classification of temporal ICA components for...
questionsmedicales.fr › Système nerveux › Système nerveux central › Encéphale › Classification of temporal ICA components for...
questionsmedicales.fr › Techniques d'investigation › Neuroimagerie › Neuroimagerie fonctionnelle › Cartographie cérébrale › Classification of temporal ICA components for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Interprétation statistique de données › Classification of temporal ICA components for...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Classification of temporal ICA components for...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Traitement d'image par ordinateur › Classification of temporal ICA components for...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › Classification of temporal ICA components for...
questionsmedicales.fr › Techniques d'investigation › Analyse en composantes principales › Classification of temporal ICA components for...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Traitement du signal assisté par ordinateur › Classification of temporal ICA components for...