Evidence map›Paper›PMID 41287444›Full record

ArticleHuman brain mapping2025

In Vivo Quantification of White Matter Pathways in the Human Hippocampus.

Melisa Gumus, Athanasios Bourganos, Michael L Mack

Abstract read
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Distinct contributions of hippocampal pathways in learning regularities and exceptions revealed by functional footprints.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
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.

Melisa GumusDepartment of Psychology, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-2478-2572
Athanasios BourganosDepartment of Psychology, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-5995-9054
Michael L MackDepartment of Psychology, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-5155-7413

Funding

Brain Canada Foundation GrantCIHR PJT-178337Natural Sciences and Engineering Research Council of Canada RGPIN-2017-06753Natural Sciences and Engineering Research Council of Canada RGPIN-2024-0588Vanier Canada Graduate Scholarship
6 · The paper itself

Abstract

The hippocampus is a key structure in cognition. Although much research has focused on defining the functions of its anatomically distinct subfields, the communication among these subfields within the hippocampal circuit, supported by white matter pathways, is theoretically key to emergent cognitive function. Yet, hippocampal white matter connections in humans have not been fully explored in vivo. By leveraging diffusion-weighted imaging and a large healthy sample (N = 653), we developed a processing pipeline for in vivo quantification of human hippocampal pathways. We provided evidence for monosynaptic and trisynaptic pathway-related connections in humans, supporting the described hippocampal circuit in ex vivo and animal studies. In addition to hemispheric and sex differences, the individual variability in hippocampal pathways was linked to cognitive abilities. Thus, in vivo characterization of human hippocampal pathways highlights the individual differences within these structures and paves the way for their implications in cognition, aging, and diseases.

Indexed as

HippocampusNeural PathwaysWhite MatterAdultAgedDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedYoung Adultdiffusion magnetic resonance imaginghippocampal pathwayshippocampushumanswhite matter

Identifiers

PMID41287444
PMCPMC12644930

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.