TY - JOUR
T1 - Associations Between Resting-State Functional Connectivity and a Hierarchical Dimensional Structure of Psychopathology in Middle Childhood
AU - Karcher, Nicole R.
AU - Michelini, Giorgia
AU - Kotov, Roman
AU - Barch, Deanna M.
N1 - Funding Information:
Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive Development (ABCD) study ( https://abcdstudy.org ), held in the National Institute of Mental Health Data Archive (NDA). This is a multisite longitudinal study designed to recruit more than 11,500 children aged 9–10 years and follow them over 10 years into early adulthood. The ABCD Study is supported by the National Institutes of Health and additional federal partners under Award Nos. U01DA041022, U01DA041025, U01DA041028, U01DA041048, U01DA041089, U01DA041093, U01DA041106, U01DA041117, U01DA041120, U01DA041134, U01DA041148, U01DA041156, U01DA041174, U24DA041123, and U24DA041147. A full list of supporters is available at https://abcdstudy.org/nih-collaborators . A listing of participating sites and a complete listing of the study investigators is available at https://abcdstudy.org/principal-investigators.html . ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the National Institutes of Health or ABCD Consortium investigators.
Funding Information:
This work was supported by National Institute on Drug Abuse Grant No. U01 DA041120 (to DMB) and National Institute of Health Grant Nos. T32 MH014677 and L30 MH120574-01 (to NRK).
Publisher Copyright:
© 2020 Society of Biological Psychiatry
PY - 2021/5
Y1 - 2021/5
N2 - Background: Previous research from the Adolescent Brain Cognitive Development (ABCD) Study delineated and validated a hierarchical 5-factor structure with a general psychopathology (p) factor at the apex and 5 specific factors (internalizing, somatoform, detachment, neurodevelopmental, externalizing) using parent-reported child symptoms. The present study is the first to examine associations between dimensions from a hierarchical structure and resting-state functional connectivity (RSFC) networks. Methods: Using 9- to 11-year-old children from the ABCD Study baseline sample, we examined the variance explained by each hierarchical structure level (p-factor, 2-factor, 3-factor, 4-factor, and 5-factor models) in associations with RSFC. Analyses were first conducted in a discovery dataset (n = 3790), and significant associations were examined in a replication dataset (n = 3791). Results: There were robust associations between the p-factor and lower connectivity within the default mode network, although stronger effects emerged for the neurodevelopmental factor. Neurodevelopmental impairments were also related to variation in RSFC networks associated with attention to internal states and external stimuli. Analyses revealed robust associations between the neurodevelopmental dimension and several RSFC metrics, including within the default mode network, between the default mode network with cingulo-opercular and “Other” (unassigned) networks, and between the dorsal attention network with the Other network. Conclusions: The hierarchical structure of psychopathology showed replicable links to RSFC associations in middle childhood. The specific neurodevelopmental dimension showed robust associations with multiple RSFC metrics. These results show the utility of examining associations between intrinsic brain architecture and specific dimensions of psychopathology, revealing associations especially with neurodevelopmental impairments.
AB - Background: Previous research from the Adolescent Brain Cognitive Development (ABCD) Study delineated and validated a hierarchical 5-factor structure with a general psychopathology (p) factor at the apex and 5 specific factors (internalizing, somatoform, detachment, neurodevelopmental, externalizing) using parent-reported child symptoms. The present study is the first to examine associations between dimensions from a hierarchical structure and resting-state functional connectivity (RSFC) networks. Methods: Using 9- to 11-year-old children from the ABCD Study baseline sample, we examined the variance explained by each hierarchical structure level (p-factor, 2-factor, 3-factor, 4-factor, and 5-factor models) in associations with RSFC. Analyses were first conducted in a discovery dataset (n = 3790), and significant associations were examined in a replication dataset (n = 3791). Results: There were robust associations between the p-factor and lower connectivity within the default mode network, although stronger effects emerged for the neurodevelopmental factor. Neurodevelopmental impairments were also related to variation in RSFC networks associated with attention to internal states and external stimuli. Analyses revealed robust associations between the neurodevelopmental dimension and several RSFC metrics, including within the default mode network, between the default mode network with cingulo-opercular and “Other” (unassigned) networks, and between the dorsal attention network with the Other network. Conclusions: The hierarchical structure of psychopathology showed replicable links to RSFC associations in middle childhood. The specific neurodevelopmental dimension showed robust associations with multiple RSFC metrics. These results show the utility of examining associations between intrinsic brain architecture and specific dimensions of psychopathology, revealing associations especially with neurodevelopmental impairments.
KW - Functional connectivity
KW - Hierarchical structure
KW - Neurodevelopmental
KW - Psychopathology
KW - Resting-state
KW - p-factor
UR - http://www.scopus.com/inward/record.url?scp=85097062533&partnerID=8YFLogxK
U2 - 10.1016/j.bpsc.2020.09.008
DO - 10.1016/j.bpsc.2020.09.008
M3 - Article
C2 - 33229246
AN - SCOPUS:85097062533
SN - 2451-9022
VL - 6
SP - 508
EP - 517
JO - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
JF - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
IS - 5
ER -