Evidence map›Paper›PMID 39798799›Full record

ReviewBiological psychiatry. Cognitive neuroscience and neuroimaging2025

Default Mode Network Functional Connectivity As a Transdiagnostic Biomarker of Cognitive Function.

Vaibhav Tripathi, Ishaan Batta, Andre Zamani, Daniel A Atad, Sneha K S Sheth, Jiahe Zhang, Tor D Wager, Susan Whitfield-Gabrieli, Lucina Q Uddin, Ruchika S Prakash and 1 more

Abstract readReview
In one paragraph

Review in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. Introduction to the Special Issue on Cognitive Neuroscience of Mindfulness.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
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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.

Vaibhav TripathiCenter for Brain Science and Department of Psychology, Harvard University, Cambridge, Massachusetts; Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts.
Ishaan BattaTri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia.
Andre ZamaniDepartment of Psychology, University of British Columbia, Vancouver, British Columbia, Canada.
Daniel A AtadFaculty of Education, Department of Counseling and Human Development, University of Haifa, Haifa, Israel; The Integrated Brain and Behavior Research Center, University of Haifa, Haifa, Israel; Edmond Safra Brain Research Center, Faculty of Education, University of Haifa, Haifa, Israel.
Sneha K S ShethDepartment of Psychology, University of British Columbia, Vancouver, British Columbia, Canada.
Jiahe ZhangDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Department of Psychology, Northeastern University, Boston, Massachusetts.
Tor D WagerDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire.
Susan Whitfield-GabrieliDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Lucina Q UddinDepartment of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California; Department of Psychology, University of California Los Angeles, Los Angeles, California.
Ruchika S PrakashDepartment of Psychology & Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, Ohio.
Clemens C C BauerDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Department of Psychology, Northeastern University, Boston, Massachusetts; Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts. Electronic address: c.bauer@northeastern.edu.

Funding

17/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT UCLAU01DA050987 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SUSAN Y BOOKHEIMER, Mirella Dapretto · 2020 to 2026
$9.0M
Mindfulness Training for Mitigating Age-Related Cognitive Decline in the ElderlyR01AG054427 · NIA · OHIO STATE UNIVERSITY · PI PRAKASH, RUCHIKA SHAURYA · 2017 to 2021
$2.2M
Development of an online mindfulness training program for adults with subjective cognitive declineR61AG081982 · NIA · OHIO STATE UNIVERSITY · PI PRAKASH, RUCHIKA SHAURYA · 2024 to 2025
$1.0M
Exploratory investigation of bilingualism, executive function, and brain organization in children with autismR21HD111805 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI UDDIN, LUCINA QAZI · 2023 to 2023
$432k
NIA NIH HHS R01 AG054427NIA NIH HHS R61 AG081982NICHD NIH HHS R21 HD111805NIDA NIH HHS U01 DA050987
6 · The paper itself

Abstract

The default mode network (DMN) is intricately linked with processes such as self-referential thinking, episodic memory recall, goal-directed cognition, self-projection, and theory of mind. In recent years, there has been a surge in the number of studies examining its functional connectivity, particularly its relationship with frontoparietal networks involved in top-down attention, executive function, and cognitive control. The fluidity in switching between these internal and external modes of processing, which is highlighted by anticorrelated functional connectivity, has been proposed as an indicator of cognitive health. Due to the ease of estimation of functional connectivity-based measures through resting-state functional magnetic resonance imaging paradigms, there is now a wealth of large-scale datasets, paving the way for standardized connectivity benchmarks. In this review, we explore the promising role of DMN connectivity metrics as potential biomarkers of cognitive state across attention, internal mentation, mind wandering, and meditation states and investigate deviations in trait-level measures across aging and in clinical conditions such as Alzheimer's disease, Parkinson's disease, depression, attention-deficit/hyperactivity disorder, and others. We also tackle the issue of reliability of network estimation and functional connectivity and share recommendations for using functional connectivity measures as a biomarker of cognitive health.

Indexed as

BrainCognitionDefault Mode NetworkNerve NetAttentionBiomarkersExecutive FunctionHumansMagnetic Resonance ImagingNeural PathwaysBiomarkersAttentionBrain networksFunctional connectivityMeditationMental healthResting-state fMRI

Identifiers

PMID39798799
PMCPMC12207756

What OpenQuestion holds

Textmetadata
LicenceTDM
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.