Evidence map›Paper›PMID 40384091›Full record

ArticleBrain and behavior2025

Latent Default Mode Network Connectivity Patterns: Associations With Sleep Health and Adolescent Psychopathology.

Linhao Zhang, Charles Geier, Ellen House, Assaf Oshri

Abstract read
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Linhao ZhangDepartment of Human Development and Family Science, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0009-0001-5738-5293
Charles GeierDepartment of Human Development and Family Science, University of Georgia, Athens, Georgia, USA.
Ellen HouseDepartment of Psychiatry and Health Behavior, Augusta University, Augusta, Georgia, USA.
Assaf OshriDepartment of Human Development and Family Science, University of Georgia, Athens, Georgia, USA.

Funding

A Neuroecological Approach to Examining the Effects of Early Life Adversity on Adolescent Drug Use Vulnerabilities Using the ABCD DatasetR01DA058334 · NIDA · UNIVERSITY OF GEORGIA · PI Assaf Oshri · 2023 to 2026
$2.4M
The influence of community and family protective processes on neurocognitive systems associated with early-onset drug use: An investigation of rural southern youthK01DA045219 · NIDA · UNIVERSITY OF GEORGIA · PI OSHRI, ASSAF · 2018 to 2022
$889k
NIDA NIH HHS K01DA045219NIDA NIH HHS R01DA055630-01NIDA NIH HHS R01 DA058334NIDA NIH HHS R01DA058334-01A1
6 · The paper itself

Abstract

backgroundThe present study examined default mode network (DMN) neural connectivity patterns among adolescents. Next, we tested two critical markers of sleep health-duration and efficiency, in predicting neural connectivity patterns. Last, we investigated the latent DMN profiles' predictive utility of internalizing and externalizing symptoms in youth.

methodsThe study included 2811 youth (47.8% female; mean age = 11.94) enrolled in the Adolescent Brain Cognitive Development study. Sleep duration and efficiency were objectively measured via Fitbit wearable's (mean number of nights = 14.13). Latent profile analysis identified neural connectivity profiles within the DMN and between other networks (fronto-parietal, salience, ventral attention, and dorsal attention). Parents reported the youth's psychopathology symptoms.

resultsFour DMN profiles were empirically identified: (1) moderate; (2) low within and high between; (3) high within and low between; and (4) high within and high between. Youth with shorter sleep duration were more likely to be classified as low within and high between subgroup. Youth with lower sleep efficiency were more likely to be classified as the high within and low between subgroup. There were between-group differences in externalizing problems one year later.

conclusionOur findings highlight unique neural patterns in youth and their associations with sleep and psychopathology. The results will inform clinical practice and preventive programming that attempts to address the crisis in youth mental health through a focus on mitigating sleep problems in youth.

Indexed as

Default Mode NetworkMental DisordersNerve NetSleepAdolescentBrainChildFemaleHumansMalePsychopathologyexternalizing problemsFitbitinternalizing problemsresting‐state connectivity

Identifiers

PMID40384091
PMCPMC12086304

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LicenceCC BY
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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.