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the claim

FMRI evidence demonstrates distinct states of mind in the human brain

the verdict
SUPPORTED
the evidence backs this
Recorded sources
3 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Functional MRI evidence and advanced decoding models consistently demonstrate that different cognitive processes correspond to distinct, identifiable states of brain activity.

The analysis

The retrieved literature contains multiple studies dedicated to decoding brain activity and mental states from fMRI data (e.g., papers [0], [4], [5]). These works establish that distinct cognitive tasks and mental states produce measurable, classifiable patterns of whole-brain and regional activation, supporting the claim.

Evidence for · 3
Recorded source metadata

T. Rubin, Oluwasanmi Koyejo, Krzysztof J. Gorgolewski, Michael N. Jones, R. Poldrack, T. Yarkoni. Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition. 2016. https://doi.org/10.1371/journal.pcbi.1005649

Demonstrates that fMRI data can be decoded to infer discrete cognitive and mental states.

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More for · 2
Recorded source metadata

Yueh-Po Peng, V. Cheung, Li Su. Whole-brain Transferable Representations from Large-Scale fMRI Data Improve Task-Evoked Brain Activity Decoding. 2025. https://doi.org/10.48550/arXiv.2507.22378

Shows that transformer-based models can effectively decode different task-evoked mental states from large-scale fMRI data.

Recorded source metadata

José Diogo Marques dos Santos, L. Reis, José Diogo Marques dos Santos. Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data. 2025. https://doi.org/10.3390/make7010017

Applies machine learning to fMRI data to successfully classify and explain different cognitive brain states during Theory of Mind tasks.

The paper trail · every fact has a biography
first checked01 Aug 2026
judged → SUPPORTED · 8801 Aug 2026
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