Inducing representational change in the hippocampus through real-time neurofeedback.

closed-loop neurofeedback high-performance computing machine learning non-monotonic plasticity psychophysics real-time fMRI

Journal

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
ISSN: 1471-2970
Titre abrégé: Philos Trans R Soc Lond B Biol Sci
Pays: England
ID NLM: 7503623

Informations de publication

Date de publication:
02 Dec 2024
Historique:
medline: 21 10 2024
pubmed: 21 10 2024
entrez: 21 10 2024
Statut: ppublish

Résumé

When you perceive or remember something, other related things come to mind, affecting how these competing items are subsequently perceived and remembered. Such behavioural consequences are believed to result from changes in the overlap of neural representations of these items, especially in the hippocampus. According to multiple theories, hippocampal overlap should increase (integration) when there is high coactivation between cortical representations. However, prior studies used indirect proxies for coactivation by manipulating stimulus similarity or task demands. Here, we induce coactivation in visual cortex more directly using closed-loop neurofeedback from real-time functional magnetic resonance imaging (fMRI). While viewing one object, participants were rewarded for activating the representation of another object as strongly as possible. Across multiple real-time fMRI sessions, participants succeeded in using this neurofeedback to increase coactivation. Compared with a baseline of untrained objects, this protocol led to memory integration in behaviour and the brain: the trained objects became harder for participants to discriminate behaviourally in a categorical perception task and harder to discriminate neurally from patterns of fMRI activity in their hippocampus as a result of losing unique features. These findings demonstrate that neurofeedback can be used to alter and combine memories.This article is part of the theme issue 'Neurofeedback: new territories and neurocognitive mechanisms of endogenous neuromodulation'.

Identifiants

pubmed: 39428880
doi: 10.1098/rstb.2023.0091
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20230091

Subventions

Organisme : Canadian Institute for Advanced Research
Organisme : China Scholarship Council
Organisme : NIMH NIH HHS
Pays : United States

Auteurs

Kailong Peng (K)

Department of Psychology, Yale University, New Haven, CT 06510, USA.
Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA.

Jeffrey D Wammes (JD)

Department of Psychology, Queen's University, Kingston, ON, Canada.
Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.

Alex Nguyen (A)

Department of Psychology, Princeton University, Princeton, NJ, USA.
Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.

Coraline Rinn Iordan (CR)

Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY, USA.
Department of Neuroscience, University of Rochester, Rochester, NY, USA.

Kenneth A Norman (KA)

Department of Psychology, Princeton University, Princeton, NJ, USA.
Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.

Nicholas B Turk-Browne (NB)

Department of Psychology, Yale University, New Haven, CT 06510, USA.
Wu Tsai Institute, Yale University, New Haven, CT, USA.

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Classifications MeSH