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Decoding individual identity from brain activity elicited in imagining common experiences. Nat Commun 2020 Nov 20;11(1):5916

Date

11/22/2020

Pubmed ID

33219210

Pubmed Central ID

PMC7679397

DOI

10.1038/s41467-020-19630-y

Scopus ID

2-s2.0-85096339507 (requires institutional sign-in at Scopus site)   8 Citations

Abstract

Everyone experiences common events differently. This leads to personal memories that presumably provide neural signatures of individual identity when events are reimagined. We present initial evidence that these signatures can be read from brain activity. To do this, we progress beyond previous work that has deployed generic group-level computational semantic models to distinguish between neural representations of different events, but not revealed interpersonal differences in event representations. We scanned 26 participants' brain activity using functional Magnetic Resonance Imaging as they vividly imagined themselves personally experiencing 20 common scenarios (e.g., dancing, shopping, wedding). Rather than adopting a one-size-fits-all approach to generically model scenarios, we constructed personal models from participants' verbal descriptions and self-ratings of sensory/motor/cognitive/spatiotemporal and emotional characteristics of the imagined experiences. We demonstrate that participants' neural representations are better predicted by their own models than other peoples'. This showcases how neuroimaging and personalized models can quantify individual-differences in imagined experiences.

Author List

Anderson AJ, McDermott K, Rooks B, Heffner KL, Dodell-Feder D, Lin FV

Author

Andrew J. Anderson PhD Assistant Professor in the Neurology department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Aged
Brain Mapping
Female
Humans
Image Processing, Computer-Assisted
Imagination
Magnetic Resonance Imaging
Male
Memory, Long-Term
Nervous System Physiological Phenomena
Semantics