Predictable and unpredictable deviance detection in the human hippocampus and amygdala.

Tzovara, Athina; Fedele, Tommaso; Sarnthein, Johannes; Ledergerber, Debora; Lin, Jack J; Knight, Robert T (2024). Predictable and unpredictable deviance detection in the human hippocampus and amygdala. Cerebral cortex, 34(2) Oxford University Press 10.1093/cercor/bhad532

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Our brains extract structure from the environment and form predictions given past experience. Predictive circuits have been identified in wide-spread cortical regions. However, the contribution of medial temporal structures in predictions remains under-explored. The hippocampus underlies sequence detection and is sensitive to novel stimuli, sufficient to gain access to memory, while the amygdala to novelty. Yet, their electrophysiological profiles in detecting predictable and unpredictable deviant auditory events remain unknown. Here, we hypothesized that the hippocampus would be sensitive to predictability, while the amygdala to unexpected deviance. We presented epileptic patients undergoing presurgical monitoring with standard and deviant sounds, in predictable or unpredictable contexts. Onsets of auditory responses and unpredictable deviance effects were detected earlier in the temporal cortex compared with the amygdala and hippocampus. Deviance effects in 1-20 Hz local field potentials were detected in the lateral temporal cortex, irrespective of predictability. The amygdala showed stronger deviance in the unpredictable context. Low-frequency deviance responses in the hippocampus (1-8 Hz) were observed in the predictable but not in the unpredictable context. Our results reveal a distributed network underlying the generation of auditory predictions and suggest that the neural basis of sensory predictions and prediction error signals needs to be extended.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Cognitive Computational Neuroscience (CCN)
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Tzovara, Athina

Subjects:

000 Computer science, knowledge & systems
600 Technology > 610 Medicine & health
500 Science > 510 Mathematics

ISSN:

1460-2199

Publisher:

Oxford University Press

Language:

English

Submitter:

Pubmed Import

Date Deposited:

15 Jan 2024 14:09

Last Modified:

13 Mar 2024 13:03

Publisher DOI:

10.1093/cercor/bhad532

PubMed ID:

38216528

Uncontrolled Keywords:

amygdala auditory predictions deviance hippocampus intracranial EEG

BORIS DOI:

10.48350/191607

URI:

https://boris.unibe.ch/id/eprint/191607

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