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Hippocampal connectivity predicting recognition and categorization abilities.

Overview

Authors: Kyla Brannigan1, Lea Frank1, Dagmar Zeithamova1
  1. Brain and Memory Lab, Department of Psychology, University of Oregon, Eugene, OR, United States
Institutions: University of Oregon (United States)
Journal: Frontiers in cognition, volume 5, article 1765217
Dates: received 10 December 2025; accepted 4 March 2026; published online 31 March 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3389/fcogn.2026.1765217 · PMID 42338775 · PMCID PMC13281074 · OpenAlex W7143942823
Open access: gold, a free copy (OpenAlex)
Categories: human (organism)
Methods: Spectral & time-frequency, Statistics, Smoothing, state filtering, decompositions, Connectivity, fMRI & imaging
Keywords: anterior hippocampus, face blend, generalization, integration, posterior hippocampus, separation, specificity
Topic: Face Recognition and Perception (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: NINDS NIH HHS (R01 NS112366)
Citations: not cited yet (Europe PMC); 117 references in the paper

Abstract

Introduction: Flexible use of memory involves both the ability to form detailed memories of individual experiences (specificity) and to generalize across related experiences (generalization). Memory specificity and generalization have been attributed to distinct neocortical regions, such as ventrolateral prefrontal cortex (PFC) and ventromedial PFC respectively. The hippocampus has been traditionally associated with memory specificity, but more recent work highlights additional role in generalization. Here, we tested the hypothesis that the hippocampus supports both memory specificity and generalization, but through interactions with distinct cortical regions.

Methods: Fifty-two adults learned to categorize blended face stimuli, enabling both extraction of category structure (generalization) and encoding of item-specific features (specificity). Background functional connectivity was measured using fMRI during passive viewing of the same faces before and after learning.

Results: Participants showed robust category learning, above-chance recognition of studied faces from similar lures, and successful category generalization to novel category members. Recognition and categorization performance were not highly correlated, suggesting distinct processes supporting each memory function. In the brain, we found distinct connectivity profiles of anterior hippocampus, presumed to preferentially contribute to generalization, and posterior hippocampus, presumed to preferentially contribute to specificity. Learning led to increased anterior hippocampal connectivity with default mode regions including ventromedial PFC, and posterior hippocampal connectivity with visual cortex. Increased anterior hippocampal connectivity with ventromedial PFC, somatomotor cortex, and visual cortex predicted better category generalization, whereas increased posterior hippocampal connectivity with ventrolateral PFC predicted more accurate face recognition. Exploratory analyses revealed widespread learning-related changes in cortico-cortical interactions, with changes in connectivity among visual, somatomotor, and default mode networks predicting categorization.

Discussion: Together, these findings support the notion that the hippocampus supports both memory specificity and generalization through interactions with distinct cortical networks. These results advance mechanistic accounts of how the hippocampus and cortex coordinate to balance competing memory demands.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data and to no code of its authors: see the Data section.

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Data

Datasets cited

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://osf.io/5h8b7.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 3 authors, 7 keywords, 1 funder, 115 references, 9 RRIDs.

Cite

This paper

Brannigan, K., Frank, L., & Zeithamova, D. (2026). Hippocampal connectivity predicting recognition and categorization abilities. Frontiers in cognition, 5, 1765217. https://doi.org/10.3389/fcogn.2026.1765217

BibTeX

@article{brannigan2026hippocampal,
author = {Brannigan, Kyla and Frank, Lea and Zeithamova, Dagmar},
title = {{Hippocampal connectivity predicting recognition and categorization abilities}},
journal = {Frontiers in cognition},
year = {2026},
month = mar,
volume = {5},
pages = {1765217},
publisher = {Frontiers Media},
issn = {2813-4532},
doi = {10.3389/fcogn.2026.1765217},
url = {https://doi.org/10.3389/fcogn.2026.1765217},
pmid = {42338775},
pmcid = {PMC13281074}
}

RIS

TY - JOUR
AU - Brannigan, Kyla
AU - Frank, Lea
AU - Zeithamova, Dagmar
TI - Hippocampal connectivity predicting recognition and categorization abilities
T2 - Frontiers in cognition
J2 - Front Cognit
PY - 2026
DA - 2026/03/31
VL - 5
SP - 1765217
SN - 2813-4532
PB - Frontiers Media
DO - 10.3389/fcogn.2026.1765217
UR - https://doi.org/10.3389/fcogn.2026.1765217
LA - en
ER -

CSL-JSON

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