Evidence map›Paper›PMID 39758559›Full record

ArticleAging brain2024

Brain network correlates of affective symptoms in aMCI.

Parnika P Saxena, Adam Turnbull, Daniel Kim, Barbara Sommer, F Vankee Lin

Abstract read
In one paragraph

Article in Aging brain, 2024. 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. Trial
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

5 authors.

Parnika P SaxenaDepartment of Psychiatry and Behavioral Sciences, Stanford University, USA.
Adam TurnbullDepartment of Psychiatry and Behavioral Sciences, Stanford University, USA.
Daniel KimDepartment of Psychiatry and Behavioral Sciences, Stanford University, USA.
Barbara SommerDepartment of Psychiatry and Behavioral Sciences, Stanford University, USA.
F Vankee LinDepartment of Psychiatry and Behavioral Sciences, Stanford University, USA.

Funding

Validate a Shared Neural Circuit Underlying Multiple Neuropsychiatric SymptomsR21MH120734 · NIMH · UNIVERSITY OF ROCHESTER · PI HEFFNER, KATHI L, LIN, FENG VANKEE · 2019 to 2020
$419k
Characterizing biopsychological mismatch during cognitive training in mild cognitive impairment as a means of improving transferK01AG086665 · NIA · STANFORD UNIVERSITY · PI Adam Turnbull · 2024 to 2026
$378k
NIA NIH HHS K01 AG086665NIMH NIH HHS R21 MH120734
6 · The paper itself

Abstract

Affective symptoms (i.e., depression, anxiety, and apathy) are the most prevalent subsyndrome of neuropsychiatric symptoms (NPS) in preclinical dementia, such as amnestic mild cognitive impairment (aMCI), and remain a challenge to understand and treat. The distressing nature of these symptoms and complexity of their concurrence and interaction necessitates improved understanding of their underlying neural correlates. We analyzed the relationships between functional brain topology (i.e., the way the brain's functional network is organized to allow efficient communication between regions) and affective symptoms in aMCI using cross-sectional and longitudinal methods. The analyses demonstrated that increased clustering coefficient (CC) was related to lower baseline and greater decreases in affective symptoms, while higher participation coefficient (PC) was correlated with more severe baseline affective symptoms. These findings suggest that the brain losing the capacity to form segregated functional units may be related to prevalence and severity of affective symptoms seen in aMCI.

Identifiers

PMID39758559
PMCPMC11700380

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Registered trials

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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.