Evidence map›Paper›PMID 40661536›Full record

ArticlebioRxiv : the preprint server for biology2025

Age and Alzheimer's disease affect functional connectivity along separate axes of functional brain organization.

Jonathan Rittmo, Nicolai Franzmeier, Olof Strandberg, Léa Chauveau, Theodore D Satterthwaite, Laura Em Wisse, Nicola Spotorno, Harry H Behjat, Amir Dehsarvi, Danielle van Westen and 8 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

18 authors.

Jonathan RittmoDepartment of Clinical Sciences Malmö, Faculty of Medicine, SciLifeLab, Lund University, Lund, Sweden.ORCID 0000-0001-5075-0166
Nicolai FranzmeierInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany.ORCID 0000-0001-9736-2283
Olof StrandbergClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
Léa ChauveauDepartment of Clinical Sciences Malmö, Faculty of Medicine, SciLifeLab, Lund University, Lund, Sweden.
Theodore D SatterthwaitePenn Lifespan Informatics and Neuroimaging Center (PennLINC), Philadelphia, PA, United States.ORCID 0000-0001-7072-9399
Laura Em WisseDepartment of Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Nicola SpotornoClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
Harry H BehjatClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
Amir DehsarviInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany.ORCID 0000-0001-7116-9741
Danielle van WestenClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
Toomas Erik AnijärvClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
Sebastian PalmqvistClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
Shorena JanelidzeClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
Erik StomrudClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
Rik OssenkoppeleClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
Niklas Mattsson-CarlgrenClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
Oskar HanssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
Jacob W VogelDepartment of Clinical Sciences Malmö, Faculty of Medicine, SciLifeLab, Lund University, Lund, Sweden.

Funding

Personalized Functional Network Modeling to Characterize and Predict Psychopathology in YouthR01EB022573 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yong Fan, Theodore Satterthwaite · 2016 to 2026
$6.0M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
Precision mapping of individualized executive networks in youthR37MH125829 · NIMH · UNIVERSITY OF MINNESOTA · PI Damien A Fair, Theodore Satterthwaite · 2021 to 2026
$4.7M
The Neuroimaging Brain Chart Software SuiteU24NS130411 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Christos Davatzikos, Yong Fan · 2023 to 2026
$3.7M
Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
NIBIB NIH HHS R01 EB022573NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH120482NIMH NIH HHS R37 MH125829NINDS NIH HHS U24 NS130411
6 · The paper itself

Abstract

Aging and Alzheimer's disease (AD) are associated with alterations in functional connectivity (FC), yet their spatial and temporal characteristics remain debated. Whole-cortex functional gradients, which organize regions along axes of functional similarity, are positioned here as a framework for understanding such alterations. Across two independent cohorts (BioFINDER-2, N=973; ADNI, N=129), we demonstrate that hyper- and hypoconnectivity in both healthy aging and biomarker-confirmed AD progression coexist systematically, forming consistent spatial patterns that align with two distinct axes of brain organization. Using a combination of longitudinal and non-linear analyses, we show that the early (but not late) stages of AD pathology accumulation is associated with functional alteration along the sensory-association axis, a pattern that vanishes in later stages of AD. However, functional alteration along the sensory-association axis is associated with worse cognition throughout the AD spectrum, and even in older adults without AD pathology, suggesting that these FC patterns may reflect a general neural response to cognitive strain. Independently of AD, older age was associated with alterations instead along the executive-nonexecutive axis, a finding that was consistent throughout the adult lifespan. These findings highlight the fundamental role of intrinsic functional organization in shaping how the brain responds to aging and to AD, helping to resolve previously reported discrepancies.

Identifiers

PMID40661536
PMCPMC12258722

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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.