Evidence map›Paper›PMID 40288751›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2025

The Desegregation of Neural Networks During Worry Induction in Late Life: An Effective Connectivity Analysis.

Andrew R Gerlach, Helmet T Karim, Kevin Kahru, Dana L Tudorascu, James J Gross, Meryl A Butters, Carmen Andreescu

Abstract read
In one paragraph

Article 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Andrew R GerlachDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania.
Helmet T KarimDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania.
Kevin KahruSchool of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Dana L TudorascuDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania.
James J GrossDepartment of Psychology, Stanford University, Stanford, California.
Meryl A ButtersDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Carmen AndreescuDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: andrcx@upmc.edu.

Funding

The RAW Brain - The Effect of Rumination, Anxiety and Worry on Aging and Dementia RiskR01MH108509 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Carmen Andreescu · 2016 to 2026
$10.6M
CLINICAL RESEARCH TRAINING IN LATE-LIFE MOOD DISORDERST32MH019986 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN, Carmen Andreescu · 1997 to 2026
$6.9M
Recurrence markers, cognitive burden and neurobiological homeostasis in latelife depression (REMBRANDT) - SupplementR01MH121619 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ANDREESCU, CARMEN · 2020 to 2024
$5.1M
Machine Learning Models for Identifying Neural Predictors of TMS Treatment Response in MDDK01MH122741 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KARIM, HELMET TALIB · 2021 to 2025
$852k
Individual Multimodal Pathway Statistics for Predicting Treatment Response in Late-life DepressionK01MH133913 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Andrew Robert Gerlach · 2023 to 2026
$705k
Development of a new social media fMRI task to better investigate bidirectional links between social media use and emotional health in youth.R21MH138955 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KARIM, HELMET TALIB, SILK, JENNIFER S · 2024 to 2024
$413k
NIMH NIH HHS K01 MH122741NIMH NIH HHS K01 MH133913NIMH NIH HHS R01 MH108509NIMH NIH HHS R01 MH121619NIMH NIH HHS R21 MH138955NIMH NIH HHS T32 MH019986
6 · The paper itself

Abstract

backgroundSevere worry is a core component of anxiety and depressive disorders and is independently associated with significant morbidity and mortality. However, the neural basis of worry is poorly understood. We investigated effective connectivity (EC) using functional magnetic resonance imaging of a naturalistic worry induction and reappraisal task in late life.

methodsA total of 112 participants age >50 years with varying worry severity completed a personalized, in-scanner worry induction and reappraisal task. We calculated voxelwise EC in neutral, worry, and reappraisal conditions with generalized psychophysiological interactions using seeds in the subgenual anterior cingulate cortex (ACC), dorsal ACC, and left and right amygdalae and used paired t tests to compare conditions. We assessed clusters for association with in-scanner worry severity using linear regression.

resultsDuring the worry condition, EC increased between the subgenual ACC and the default mode network (DMN) and major hubs of the executive control and salience networks. Left amygdala EC to the posterior cingulate also increased during worry, and dorsal ACC connectivity to primary sensory and motor regions decreased. Reappraisal reduced subgenual and dorsal ACC EC observed during worry and the EC between the left amygdala and regions of the dorsal attention network. Broadly, left amygdala EC was robustly associated with in-scanner worry severity.

conclusionsWorry induction robustly engaged the DMN and increased connectivity with other high-order associative networks, potentially subsuming cortical resources. Reappraisal reduced these connectivities and disengaged the amygdala from areas associated with top-down attention. These findings could inform targets for neuromodulatory treatment of severe worry in older adults.

Indexed as

AmygdalaAnxietyBrainDefault Mode NetworkGyrus CinguliNerve NetAgedBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysAgingAnxietyEffective connectivityReappraisalWorry

Identifiers

PMID40288751
PMCPMC12230760

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.