Evidence map›Paper›PMID 40800417›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Systematic cross-sectional age-associations in global fMRI signal topography.

Jason S Nomi, Danilo Bzdok, Jingwei Li, Taylor Bolt, Catie Chang, Salome Kornfeld, Zachary T Goodman, B T Thomas Yeo, R Nathan Spreng, Lucina Q Uddin

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Distributed fMRI Patterns Coupled to Low-Frequency Cardiorespiratory Dynamics Provide Markers of Aging.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Reconstructing physiological signals from fMRI across the adult lifespan.Proceedings of SPIE--the International Society for Optical Engineering · 2025
    Article
  8. 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

10 authors.

Jason S NomiDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, United States.
Danilo BzdokDepartment of Biomedical Engineering, Montreal Neurological Institute (MNI), Brain-imaging institute (BIC), McGill University, Montreal, QC, Canada; Mila - Quebec Artificial Intelligence Institute, Quebec, Canada.
Jingwei LiInstitute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Center Jülich, Jülich, Germany.
Taylor BoltDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, United States.
Catie ChangDepartments of Electrical and Computer Engineering, Computer Science, and Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.
Salome KornfeldReha Rheinfelden, Rheinfelden, Switzerland.
Zachary T GoodmanDepartment of Psychology, University of Miami, Coral Gables, FL, United States.
B T Thomas YeoCentre for Sleep & Cognition, Centre for Translational MR Research, Electrical and Computer Engineering, N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore.
R Nathan SprengLaboratory of Brain and Cognition, Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Lucina Q UddinDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global signal (GS) in resting-state functional MRI (fMRI), known to contain artifacts and non-neuronal physiological signals, also contains important neural information related to individual state and trait characteristics. Here, we show distinct linear and curvilinear relationships between GS topography and age in a cross-sectional sample of individuals (6-85 years old) representing a significant portion of the lifespan. Subcortical brain regions such as the thalamus and putamen show linear associations with the GS across age. The thalamus has stronger contributions to the GS in older-age individuals compared with younger-aged individuals, while the putamen has stronger contributions in younger individuals compared with older individuals. The subcortical nucleus basalis of Meynert shows a u-shaped pattern similar to cortical regions within the lateral frontoparietal network and dorsal attention network, where contributions of the GS are stronger at early and old age, and weaker in middle age. This differentiation between subcortical and cortical brain activity across age supports a dual-layer model of GS composition, where subcortical aspects of the GS are differentiated from cortical aspects of the GS. We find that these subcortical-cortical contributions to the GS depend strongly on age across the lifespan of human development. Our findings demonstrate how neurobiological information within the GS differs across development and highlight the need to carefully consider whether or not to remove this signal when investigating age-related functional differences in the brain.

Indexed as

agingartifact removalbrain developmentdenoising strategiesfrontoparietal networkintrinsic functional connectivitysignal versus noise

Identifiers

PMID40800417
PMCPMC12224465

What OpenQuestion holds

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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.