Evidence map›Paper›PMID 42818649›Full record

ArticlebioRxiv : the preprint server for biology2026

Longitudinal changes in control energy of brain networks in older adults at familial risk for Alzheimer's disease.

Paulina Skolasinska, Alfie Wearn, Daniel O'Sullivan, Isabella Stallworthy, Julia K Brynildsen, Ilana R Leppert, Christine L Tardif, Gary R Turner, Dani S Bassett, R Nathan Spreng and 1 more

Abstract readPreprint
PubMed Full text at PMC Publisher
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

11 authors.

Paulina SkolasinskaMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Alfie WearnMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Daniel O'SullivanMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Isabella StallworthyDepartments of Bioengineering and Electrical & Systems, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
Julia K BrynildsenDepartments of Bioengineering and Electrical & Systems, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
Ilana R LeppertMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Christine L TardifMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Gary R TurnerDept of Psychology, York University, ON, Canada.
Dani S BassettDepartments of Bioengineering and Electrical & Systems, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
R Nathan SprengMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
PREVENT-AD Research Group

Funding

Investigating the impact of loneliness on brain aging and pre-symptomatic Alzheimer's disease progressionR01AG068563 · NIA · MCGILL UNIVERSITY · PI BZDOK, DANILO, SPRENG, ROBERT NATHAN · 2020 to 2024
$2.3M
NIA NIH HHS R01 AG068563
6 · The paper itself

Abstract

The ability of structural brain networks to control neural dynamics is affected by healthy and pathological aging, including Alzheimer's disease (AD). According to network control theory, transitions between functional brain states incur energetic costs. How these costs change longitudinally with aging remains unknown. Here, in 279 older adults at familial risk for AD, control energy increased longitudinally for state maintenance and transitions between sensorimotor and attentional networks, while decreasing for another sensorimotor-attentional transition. Changes in transition costs between higher-order networks were associated with cognitive performance: greater DorsAttn⟷Executive cost was associated with poorer immediate memory, while lower Executive⟷Def+Lim cost was associated with poorer attention. Higher plasma p-tau181 was associated with lower DorsAttn⟷Def+Lim transition cost. These findings reveal transition-specific alterations in the energetic landscape of aging and distinct relationships with cognition and AD pathology. Together, they highlight energetic constraints on brain network reconfiguration as a complementary perspective on neurocognitive aging.

Indexed as

agingAlzheimer’s diseasecognitive declineMRInetwork control theoryPET

Identifiers

PMID42818649
PMCPMC13622563

What Socratic holds

Textmetadata
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 Socratic graph.