Advancing motion denoising of multiband resting-state functional connectivity fMRI data.

Williams, John C; Tubiolo, Philip N; Luceno, Jacob R; Van Snellenberg, Jared X

Williams, John C; Tubiolo, Philip N; Luceno, Jacob R; Van Snellenberg, Jared X.

Afiliação

Williams JC; Department of Psychiatry and Behavioral Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, 11794 USA; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794 USA.
Tubiolo PN; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794 USA.
Luceno JR; Department of Psychiatry and Behavioral Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, 11794 USA.
Van Snellenberg JX; Department of Psychiatry and Behavioral Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, 11794 USA; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794 USA; Department of Psychology, Stony Brook University, Stony Brook, NY, 11794 USA

Neuroimage ; 249: 118907, 2022 04 01.

Article em En | MEDLINE | ID: mdl-35033673

Assuntos

Encéfalo/diagnóstico por imagem; Encéfalo/fisiologia; Conectoma/métodos; Imageamento por Ressonância Magnética/métodos; Adulto; Artefatos; Conectoma/normas; Movimentos da Cabeça/fisiologia; Humanos; Imageamento por Ressonância Magnética/normas

Palavras-chave

Artifact removal; Functional MRI; Multiband fMRI; Participant motion; Resting state functional connectivity; Volume censoring

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article