Spatiotemporal profile of altered neural reactivity to food images in obesity: Reward system is altered automatically and predicts efficacy of weight loss intervention.

Poghosyan, Vahe; Ioannou, Stephanos; Al-Amri, Khalid M; Al-Mashhadi, Sufana A; Al-Mohammed, Fedaa; Al-Otaibi, Tahani; Al-Saeed, Wjoud

Poghosyan, Vahe; Ioannou, Stephanos; Al-Amri, Khalid M; Al-Mashhadi, Sufana A; Al-Mohammed, Fedaa; Al-Otaibi, Tahani; Al-Saeed, Wjoud.

Afiliação

Poghosyan V; Department of Neurophysiology, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia.
Ioannou S; Department of Physiological Sciences, Alfaisal University, Riyadh, Saudi Arabia.
Al-Amri KM; Obesity, Endocrinology and Metabolism Center, King Fahad Medical City, Riyadh, Saudi Arabia.
Al-Mashhadi SA; Research Unit, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia.
Al-Mohammed F; Department of Neurophysiology, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia.
Al-Otaibi T; Department of Neurophysiology, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia.
Al-Saeed W; Research Unit, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia.

Front Neurosci ; 17: 948063, 2023.

Article em En | MEDLINE | ID: mdl-36845430

Palavras-chave

automatic process (vs. controlled); food image processing; magnetoencephalography (MEG); neural reward reactivity; obesity; preconscious; predict weight loss; reward system

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurosci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Arábia Saudita País de publicação: Suíça

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