Distinct distributed brain networks dissociate self-generated mental states DOI Creative Commons
Nathan Anderson, Joseph J. Salvo, Jonathan Smallwood

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

Human cognition relies on two modes: a perceptually-coupled mode where mental states are driven by sensory input and perceptually-decoupled featuring self-generated content. Past work suggests that imagined supported the reinstatement of activity in cortex, but transmodal systems within canonical default network also implicated mind-wandering, recollection, imagining future. We identified brain supporting using precision fMRI. Participants different scenarios scanner, then rated their several properties multi-dimensional experience sampling. found thinking involving scenes evoked or near network, while speech language network. Imagining-related regions overlapped with viewing listening to speech, respectively; however, this overlap was predominantly association networks, rather than adjacent unimodal networks. The results suggest networks support high visual auditory vividness. Different large-scale audiolinguistic

Язык: Английский

Distinct distributed brain networks dissociate self-generated mental states DOI Creative Commons
Nathan Anderson, Joseph J. Salvo, Jonathan Smallwood

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

Human cognition relies on two modes: a perceptually-coupled mode where mental states are driven by sensory input and perceptually-decoupled featuring self-generated content. Past work suggests that imagined supported the reinstatement of activity in cortex, but transmodal systems within canonical default network also implicated mind-wandering, recollection, imagining future. We identified brain supporting using precision fMRI. Participants different scenarios scanner, then rated their several properties multi-dimensional experience sampling. found thinking involving scenes evoked or near network, while speech language network. Imagining-related regions overlapped with viewing listening to speech, respectively; however, this overlap was predominantly association networks, rather than adjacent unimodal networks. The results suggest networks support high visual auditory vividness. Different large-scale audiolinguistic

Язык: Английский

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