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Ancestral, Pregnancy, and Negative Early-Life Risks Shape Children's Brain (Dis)similarity to Schizophrenia.
Kochunov, Peter; Ma, Yizhou; Hatch, Kathryn S; Gao, Si; Acheson, Ashley; Jahanshad, Neda; Thompson, Paul M; Adhikari, Bhim M; Bruce, Heather; Van der Vaart, Andrew; Chiappelli, Joshua; Du, Xiaoming; Sotiras, Aris; Kvarta, Mark D; Ma, Tianzhou; Chen, Shuo; Hong, L Elliot.
Afiliação
  • Kochunov P; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland. Electronic address: pkochunov@som.umaryland.edu.
  • Ma Y; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
  • Hatch KS; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
  • Gao S; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
  • Acheson A; Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
  • Jahanshad N; Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of University of the Sunshine Coast, Marina del Rey, California.
  • Thompson PM; Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of University of the Sunshine Coast, Marina del Rey, California.
  • Adhikari BM; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
  • Bruce H; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
  • Van der Vaart A; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
  • Chiappelli J; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
  • Du X; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
  • Sotiras A; Department of Radiology, Washington University School of Medicine, St. Louis, Missouri.
  • Kvarta MD; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
  • Ma T; Department of Epidemiology and Biostatistics, University of Maryland, College Park, Maryland.
  • Chen S; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
  • Hong LE; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
Biol Psychiatry ; 94(4): 332-340, 2023 08 15.
Article em En | MEDLINE | ID: mdl-36948435
ABSTRACT

BACKGROUND:

Familial, obstetric, and early-life environmental risks for schizophrenia spectrum disorder (SSD) alter normal cerebral development, leading to the formation of characteristic brain deficit patterns prior to onset of symptoms. We hypothesized that the insidious effects of these risks may increase brain similarity to adult SSD deficit patterns in prepubescent children.

METHODS:

We used data collected by the Adolescent Brain Cognitive Development (ABCD) Study (N = 8940, age = 9.9 ± 0.1 years, 4307/4633 female/male), including 727 (age = 9.9 ± 0.1 years, 351/376 female/male) children with family history of SSD, to evaluate unfavorable cerebral effects of ancestral SSD history, pre/perinatal environment, and negative early-life environment. We used a regional vulnerability index to measure the alignment of a child's cerebral patterns with the adult SSD pattern derived from a large meta-analysis of case-control differences.

RESULTS:

In children with a family history of SSD, the regional vulnerability index captured significantly more variance in ancestral history than traditional whole-brain and regional brain measurements. In children with and without family history of SSD, the regional vulnerability index also captured more variance associated with negative pre/perinatal environment and early-life experiences than traditional brain measurements.

CONCLUSIONS:

In summary, in a cohort in which most children will not develop SSD, familial, pre/perinatal, and early developmental risks can alter brain patterns in the direction observed in adult patients with SSD. Individual similarity to adult SSD patterns may provide an early biomarker of the effects of genetic and developmental risks on the brain prior to psychotic or prodromal symptom onset.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Transtornos Psicóticos / Esquizofrenia Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Adolescent / Adult / Child / Female / Humans / Male / Pregnancy Idioma: En Revista: Biol Psychiatry Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Transtornos Psicóticos / Esquizofrenia Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Adolescent / Adult / Child / Female / Humans / Male / Pregnancy Idioma: En Revista: Biol Psychiatry Ano de publicação: 2023 Tipo de documento: Article