A Shared Multivariate Brain-Behavior Relationship in a Transdiagnostic Sample of Adolescents

Bashford‐Largo, Johannah; Nakua, Hajer; Blair, James; Dominguez, Ahria; Hatch, Melissa; Blair, Karina S.; Dobbertin, Matthew; Ameis, Stephanie H.; Bajaj, Sahil

doi:10.1016/j.bpsc.2023.07.015

Cited by 3 publications

(1 citation statement)

References 87 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To our knowledge, there have been no prior studies examining whether LOC-eating is associated with alterations in brain structure. In general, higher transdiagnostic levels of psychopathology have been associated with lower global gray matter volume and surface area in children ( Mewton et al, 2022 ; Bashford-Largo et al, 2023 ; Romer et al, 2023 ). More closely related to LOC-eating, there is initial evidence for structural differences associated with BED.…”

Section: Introductionmentioning

confidence: 99%

Loss of control eating in children is associated with altered cortical and subcortical brain structure

Pearce,

Fuchs,

Adise

et al. 2024

Front. Psychol.

View full text Add to dashboard Cite

IntroductionLoss of control (LOC) eating is the perceived inability to control how much is eaten, regardless of actual amount consumed. Childhood LOC-eating is a risk factor for the development of binge-eating disorder (BED), but its neurobiological basis is poorly understood. Studies in children with BED have shown both increased gray matter volume in regions related to top-down cognitive control (e.g., dorsolateral prefrontal cortex) and reward-related decision making (e.g., orbital frontal cortex) relative to healthy controls. However, no studies have examined brain structure in children with LOC-eating. To identify potential neurobiological precursors of BED, we conducted secondary analysis of five studies that conducted T1 MPRAGE scans.MethodsA total of 143, 7–12-year-old children (M = 8.9 years, 70 boys) were included in the study, 26% of which (n = 37) reported LOC-eating (semi-structured interview). Age, sex, and obesity status did not differ by LOC-eating. Differences between children with and without LOC were examined for gray matter volume, cortical thickness, gyrification, sulci depth, and cortical complexity after adjusting for age, sex, total intercranial volume, weight status, and study.ResultsChildren with LOC, relative to those without, had greater gray matter volume in right orbital frontal cortex but lower gray matter volume in right parahippocampal gyrus, left CA4/dentate gyrus, and left cerebellar lobule VI. While there were no differences in cortical thickness or gyrification, children with LOC-eating had great sulci depth in left anterior cingulate cortex and cuneus and greater cortical complexity in right insular cortex.DiscussionTogether, this indicates that children with LOC-eating have structural differences in regions related to cognitive control, reward-related decision-making, and regulation of eating behaviors.

show abstract

Section: Introductionmentioning

confidence: 99%

Loss of control eating in children is associated with altered cortical and subcortical brain structure

Pearce,

Fuchs,

Adise

et al. 2024

Front. Psychol.

View full text Add to dashboard Cite

show abstract

Decoding Early Psychoses: Unraveling Stable Microstructural Features Associated with Psychopathology Across Independent Cohorts

Wang,

Liu,

Nakua

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

Background: Early Psychosis patients (EP, within 3 years after psychosis onset) show significant variability, making outcome predictions challenging. Currently, little evidence exists for stable relationships between neural microstructural properties and symptom profiles across EP diagnoses, limiting the development of early interventions. Methods: A data-driven approach, Partial Least Squares (PLS) correlation, was used across two independent datasets to examine multivariate relationships between white matter (WM) properties and symptomatology, to identify stable and generalizable signatures in EP. The primary cohort included EP patients from the Human Connectome Project-Early Psychosis (n=124). The replication cohort included EP patients from the Feinstein Institute for Medical Research (n=78). Both samples included individuals with schizophrenia, schizoaffective disorder, and psychotic mood disorders. Results: In both cohorts, a significant latent component (LC) corresponded to a symptom profile combining negative symptoms, primarily diminished expression, with specific somatic symptoms. Both LCs captured comprehensive features of WM disruption, primarily a combination of subcortical and frontal association fibers. Strikingly, the PLS model trained on the primary cohort accurately predicted microstructural features and symptoms in the replication cohort. Findings were not driven by diagnosis, medication, or substance use. Conclusions: This data-driven transdiagnostic approach revealed a stable and replicable neurobiological signature of microstructural WM alterations in EP, across diagnoses and datasets, showing a strong covariance of these alterations with a unique profile of negative and somatic symptoms. This finding suggests the clinical utility of applying data-driven approaches to reveal symptom domains that share neurobiological underpinnings.

show abstract

Neural Circuitry and Therapeutic Targeting of Depressive Symptoms in Schizophrenia Spectrum Disorders

Gallucci,

Yu,

Oliver

et al. 2024

AJP

View full text Add to dashboard Cite

A Shared Multivariate Brain-Behavior Relationship in a Transdiagnostic Sample of Adolescents

Cited by 3 publications

References 87 publications

Loss of control eating in children is associated with altered cortical and subcortical brain structure

Loss of control eating in children is associated with altered cortical and subcortical brain structure

Decoding Early Psychoses: Unraveling Stable Microstructural Features Associated with Psychopathology Across Independent Cohorts

Neural Circuitry and Therapeutic Targeting of Depressive Symptoms in Schizophrenia Spectrum Disorders

Contact Info

Product

Resources

About