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the claim
Episodic memory access can be decoded from fMRI brain activation patterns
the verdict
SUPPORTED
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7 sources for · 0 against
Is it true that episodic memory access can be decoded from fMRI brain activation patterns?
Yes. Multiple fMRI and multivariate pattern analysis studies demonstrate that specific memory states, item identities, and episodic retrieval processes can be successfully decoded from brain activation patterns.
Verdict: SUPPORTED · 7 sources for, 0 against · Last checked
The analysis
The retrieved literature consistently supports the claim that episodic memory access and retrieval can be decoded from fMRI brain activation patterns using multivariate pattern analysis (MVPA) and decoding techniques. Papers 0, 1, 2, 4, 6, 8, and 11 all explicitly apply fMRI decoding or pattern reinstatement approaches to episodic or autobiographical memory retrieval and report successful classification or decoding results.
Evidence for · 7
The study used high-resolution fMRI and found evidence for item-specific pattern reinstatement in the frontoparietal cortex during episodic memory retrieval.
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Xiao, X., Dong, Q., Gao, J., Men, W., Poldrack, R., & Xue, G. (2017). Transformed Neural Pattern Reinstatement during Episodic Memory Retrieval. doi.org. https://doi.org/10.1523/JNEUROSCI.2324-16.2017
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More for · 6
Using whole-brain multivoxel pattern analysis, the study achieved near-perfect accuracy in decoding real-world autobiographical memory retrieval and distinguishing recognized events from novel ones.
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Rissman, J., Chow, T. E., Reggente, N., & Wagner, A. (2016). Decoding fMRI Signatures of Real-world Autobiographical Memory Retrieval. doi.org. https://doi.org/10.1162/jocn_a_00920
The study employed multivariate pattern analysis (MVPA) to show that fMRI signal patterns in specific brain regions can decode spatial memory retrieval performance.
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Guo, J., Zhang, K., Zhang, J., Zhao, R., Liang, Y., Lin, Y., Yu, S., Qin, W., & Yang, X. (2021). Decoding Spatial Memory Retrieval in Cubical Space Using fMRI Signals. doi.org. https://doi.org/10.3389/fncir.2021.624352
The study proposed a sparse multivariate Bayesian decoding method for single-trial fMRI responses to successfully classify episodic memory retrieval processes.
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Lee, D., Yun, S., Jang, C., & Park, H. (2017). Multivariate Bayesian decoding of single-trial event-related fMRI responses for memory retrieval of voluntary actions. doi.org. https://doi.org/10.1371/journal.pone.0182657
Multivariate analyses demonstrated that fMRI activity patterns in the left angular gyrus and precuneus can decode selfhood and embodiment aspects from naturalistic event memories.
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HM, I. & PL, S. J. (2025). An embodied perspective: Angular gyrus and precuneus decode selfhood in memories of naturalistic events.. doi.org. https://doi.org/10.1162/imag.a.93
Multivoxel pattern similarity analysis revealed item-level reinstatement and decoding of memory precision using fMRI BOLD signals in the left angular gyrus and hippocampus.
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M, H., PF, H., LR, P., ANZ, A., AD, E., & MD, R. (2025). fMRI BOLD signals in the left angular gyrus and hippocampus are associated with memory precision.. doi.org. https://doi.org/10.1162/imag.a.977
Using task-based fMRI and decoding analysis, the researchers found that a distributed network of brain areas distinguished memory age and organized episodic autobiographical memories.
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A, A., A, T., V, S., FM, T., G, C., F, G., & M, B. (2026). Echoes of time: Organization of episodic autobiographical memories in the brain according to their remoteness.. doi.org. https://doi.org/10.1016/j.neuroimage.2026.121857
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first checked06 Aug 2026
judged → SUPPORTED · 8806 Aug 2026
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