Evidence map›Paper›PMID 42338775›Full record

ArticleFrontiers in cognition2026

Hippocampal connectivity predicting recognition and categorization abilities.

Kyla Brannigan, Lea Frank, Dagmar Zeithamova

Abstract read
In one paragraph

Article in Frontiers in cognition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kyla BranniganBrain and Memory Lab, Department of Psychology, University of Oregon, Eugene, OR, United States.
Lea FrankBrain and Memory Lab, Department of Psychology, University of Oregon, Eugene, OR, United States.
Dagmar ZeithamovaBrain and Memory Lab, Department of Psychology, University of Oregon, Eugene, OR, United States.

Funding

Neural mechanisms of specificity and generalization learningR01NS112366 · NINDS · UNIVERSITY OF OREGON · PI ZEITHAMOVA, DAGMAR · 2020 to 2024
$1.7M
NINDS NIH HHS R01 NS112366
6 · The paper itself

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.

Indexed as

anterior hippocampusface blendgeneralizationintegrationposterior hippocampusseparationspecificity

Identifiers

PMID42338775
PMCPMC13281074

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.