Evidence map›Paper›PMID 42146670›Full record

ArticlebioRxiv : the preprint server for biology2026

Lamellar Normative Modelling of the Hippocampus Across the Human Lifespan.

Yanwu Yang, Na Gao, Nitin Sharma, Sicheng Dai, Guinan Su, Richard Dinga, Pierluigi Selvaggi, Jens Krüger, Yue Cai, Li Liang and 4 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

14 authors.

Yanwu YangDepartment of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany.
Na GaoInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Nitin SharmaDepartment of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany.
Sicheng DaiDepartment of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany.
Guinan SuMax-Planck Institute for Intelligent Systems, Tübingen, Germany.
Richard DingaDepartment of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, the Netherlands.
Pierluigi SelvaggiDepartment of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro, Bari, Italy.
Jens KrügerHigh Performance and Cloud Computing Division, Zentrum für Datenverarbeitung, University of Tübingen, Germany.
Yue CaiInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Li LiangInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Zhiyuan LiuDepartment of Computer Science, University of North Carolina at Chapel Hill, USA.
Saige RutherfordDepartment of Statistics, Indiana University, Bloomington, USA.
Tengfei GuoInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Thomas WolfersDepartment of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany.

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MICHAEL W WEINER · 2016 to 2026
$226.7M
VULNERABILITY AND RESILIENCY IN THE AGING ADULT BRAIN CONNECTOME (AABC)U19AG073585 · NIA · WASHINGTON UNIVERSITY · PI Beau M Ances · 2021 to 2026
$41.3M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
Mapping the Human Connectome During Typical DevelopmentU01MH109589 · NIMH · WASHINGTON UNIVERSITY · PI BARCH, DEANNA, BOOKHEIMER, SUSAN Y · 2016 to 2019
$17.1M
NIA NIH HHS U01 AG052564NIA NIH HHS U19 AG024904NIA NIH HHS U19 AG073585NIMH NIH HHS U01 MH109589NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

The hippocampus is a central hub of human memory and cognition and is closely associated with brain disorders. Studies have shown that it exhibits complex structural variation across the lifespan, yet the details of hippocampal morphology changes remain poorly understood. Here, we establish norms over the hippocampal geometry that resolve lamellar morphology and map lifespan trajectories across more than 27,000 individuals from 158 scanning sites. Hippocampal geometry shows spatially non-uniform developmental and ageing patterns across the lifespan, with lamellar thickness, width and length following dissociable trajectories. Across multiple brain disorders, this representation reveals localized and heterogeneous alterations beyond conventional subfield-level summaries, and uncovers a dichotomy in disease-associated patterns, with neurodegenerative conditions and schizophrenia showing predominant atrophy, whereas some other disorders exhibit focal or regionally selective hypertrophy. Transfer to a longitudinal Alzheimer's Disease Neuroimaging Initiative cohort further supports out-of-sample generalization of our approach and enables individual-level tracking and conversion risk stratification. Overall, this work establishes a population-scale geometric reference for the hippocampus, extends normative brain mapping from coarse regional phenotypes to anatomically organized subcortical structure, and enables anatomically grounded characterization of disease-related alterations and individual-level deviation mapping, providing a principled basis for understanding and stratifying brain disorders across the lifespan in health and disease.

Indexed as

hippocampushippocampus geometrylamellarlifespannormative modelling

Identifiers

PMID42146670
PMCPMC13174325

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.