Cerebral cortical alterations in adolescent early-onset psychosis: a surface-based morphometry mega-analysis
Nerland, S.; Barth, C.; Jorgensen, K. N.; Wortinger, L. A.; Castro-Fornieles, J.; Diaz-Caneja, C. M.; Janssen, J.; Arango, C.; Sugranyes, G.; Baez, I.; Piras, F.; Banaj, N.; Piras, F.; Elia, S.; Vecchio, D.; Lundberg, M.; Bohman, H.; Rund, B. R.; de la Serna, E.; Fortea, A.; Tamnes, C. K.; Westlye, L. T.; Smelror, R. E.; Andreou, D.; Jönsson, E. G.; Kempton, M. J.; Si, S.; Kyriakopoulos, M.; Bearden, C. E.; Laulette, K.; Pascual-Diaz, S.; Fett, A.-K. J.; Karlsgodt, K. H.; Krabbendam, L.; Kochunov, P.; Thomopoulos, S. I.; Jahanshad, N.; James, A.; Frangou, S.; Myhre, A. M.; Steen, N. E.; Andre
Show abstract
Cortical brain morphology in early-onset psychosis (EOP; age of onset < 19 years) is poorly understood, partly due to recruitment constraints linked to its low incidence. We pooled T1-weighted magnetic resonance imaging (MRI) data from 387 adolescents with EOP (mean age=16.1{+/-}1.5; 49.6% female) and 338 healthy controls (CTR; mean age=15.8{+/-}1.9, 54.4% female) from nine research sites worldwide. Using harmonized processing protocols with FreeSurfer, we extracted cortical brain metrics from 34 bilateral regions. Univariate regression analysis revealed widespread lower bilateral cortical thickness (left/right hemisphere: d=-0.36/-0.31), surface area (left/right: d=-0.42/-0.41), cortical volume (left/right: d=-0.58/-0.56), and Local Gyrification Index (LGI; left/right: d=-0.39/-0.52) in EOP relative to CTR. Subgroup analyses showed broader and more pronounced case-control differences in early-onset schizophrenia for area, volume, and LGI. We found no associations with antipsychotic medication use, illness duration, age of onset, or positive symptoms. Negative symptoms were related to smaller left lingual volumes (partial r=-0.21; pFDR=0.014) and antidepressant users had smaller area (d=-0.43; pFDR=0.034) and volume (d=-0.50; pFDR=0.003) of the right rostral anterior cingulate compared to non-users. Cortical alterations in EOP showed a similar pattern to those observed in prior studies on adults with schizophrenia (SCZ; r=0.62) and bipolar disorders (BD; r=0.61). However, surface area alterations were overall 1.5 times greater for EOP than adult SCZ and 4.6 times greater than adult BD. In the largest study of its kind, we observed an extensive pattern of cortical alterations in adolescents with psychotic disorders, highlighting the potential impact of aberrant neurodevelopment on cortical morphology in this clinical group.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Molecular, physiological and functional features underlying cortical thinning related to antipsychotic medication use 96%
- Psychotic-like experiences, polygenic risk scores for schizophrenia and structural properties of the salience, default mode and central-executive networks in healthy participants from UK Biobank 95%
- Transdiagnostic dimensions of psychopathology explain individuals' unique deviations from normative neurodevelopment in brain structure 95%
Similar papers in this journal
Similar papers in this journal
- Effects of Gene Dosage and Development on Subcortical Nuclei Volumes in Individuals with 22q11.2 Copy Number Variations 96%
- Interactions between hippocampal activity and striatal dopamine in people at clinical high risk for psychosis: relationship to clinical outcomes 95%
- Frontal lobe fALFF measured from resting-state fMRI at baseline predicts acute treatment response in first episode psychosis 95%
Similar papers in this journal
- Cerebellar-Prefrontal Connectivity Predicts Negative Symptom Severity Across the Psychosis Spectrum 96%
- Auditory and Visual Thalamocortical Connectivity Alterations in Unmedicated People with Schizophrenia: An Individualized Sensory Thalamic Localization and Resting-State Functional Connectivity Study 95%
- Aberrant hierarchical prediction errors are associated with transition to psychosis: A computational single-trial analysis of the mismatch negativity 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.