Evidence map›Paper›PMID 40042417›Full record

Observational studyAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Altered triple network model connectivity is associated with cognitive function and depressive symptoms in older adults.

Antonija Kolobaric, Carmen Andreescu, Andrew R Gerlach, Eldin Jašarević, Howard Aizenstein, Tharick A Pascoal, Pamela C L Ferreira, Bruna Bellaver, Chang Hyung Hong, Hyun Woong Roh and 9 more

Abstract readObservational Study
In one paragraph

Observational study in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. 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

19 authors.

Antonija KolobaricDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Carmen AndreescuDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Andrew R GerlachDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Eldin JašarevićDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Howard AizensteinDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Tharick A PascoalDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Pamela C L FerreiraDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Bruna BellaverDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Chang Hyung HongDepartment of Psychiatry, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
Hyun Woong RohDepartment of Psychiatry, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
Yong Hyuk ChoDepartment of Psychiatry, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
Sunhwa HongDepartment of Psychiatry, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
You Jin NamDepartment of Psychiatry, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
Bumhee ParkDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
Dong Yun LeeDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
Narae KimDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
Jin Wook ChoiDepartment of Radiology, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
Sang Joon SonDepartment of Psychiatry, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
Helmet T KarimDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-9286-0694

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
Ajou University Medical CenterFood Industry Research and Development Institute and RS-2024-00406876Food Industry Research and Development Institute HI22C0724Food Industry Research and Development Institute HR21C1003Food Industry Research and Development Institute HR22C1734Food Industry Research and Development Institute RS-2023-00267453Korea Dementia Research Center RS-2024-00339665Korea Health Industry Development Institute HI22C0724Korea Health Industry Development Institute HR21C1003Korea Health Industry Development Institute HR22C1734Korea Health Industry Development Institute RS-2023-00267453Korea Health Industry Development Institute RS-2024-00406876Korea National Institute of Health (KNIH) 2024-ER0505-00Ministry of Health and Welfare and the Ministry of Science and ICT, Republic of Korea RS-2024-00339665Ministry of Science and ICT NRF-2019R1A5A2026045Ministry of Science and ICT, South Korea NRF-2019R1A5A2026045National Research Foundation of KoreaNIMH NIH HHS R01 MH108509
6 · The paper itself

Abstract

introductionLate-life cognitive impairment and depression frequently co-occur and share many symptoms. However, the specific neural and clinical factors contributing to both their common and distinct profiles in older adults remain unclear.

methodsWe investigated resting-state correlates of cognitive and depressive symptoms in older adults (n = 248 and n = 95) using clinical, blood, and neuroimaging data. We computed a connectivity matrix across default mode, executive control, and salience networks. Cross-validated elastic net regression identified features reflecting cognitive function and depressive symptoms. These features were validated on a held-out dataset.

resultsWe discovered that white matter hyperintensities and nine overlapping nodes spanning all three networks are associated with both cognitive function and depressive symptoms, including left amygdala, left hippocampus, and bilateral ventral tegmental area. DISCUSSION: Our findings reveal intertwined neural nodes influencing cognitive impairment and depressive symptoms in late life, offering insights into shared characteristics and potential therapeutic targets. HIGHLIGHTS: Resting-state neuroimaging markers are associated with symptoms of cognitive decline and late-life depression. Symptom-associated connectivity alterations were present across three major brain networks of interest, including the salience, default mode, and executive control networks. Some regions of interest are associated with both cognitive function and depressive symptoms, including the left amygdala, left hippocampus, and bilateral ventral tegmental area.

Indexed as

CognitionCognitive DysfunctionDepressionModels, NeurologicalAgedAmygdalaConnectomeExecutive FunctionFemaleHippocampusHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetNeuropsychological TestsAlzheimer's diseasedepressionmachine learningresting state connectivity

Identifiers

PMID40042417
PMCPMC11881620

What Socratic holds

Textmetadata
LicenceCC BY
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.