Early origins of neuropsychiatric disorders

Fleiss, Bobbi; Rivkees, Scott A.; Gressèns, Pierre

doi:10.1038/s41390-018-0225-3

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…Complex human behaviors are posited to depend on a tightly coordinated sequence of brain development that extends from the in-utero period through at least early adulthood 54 . Many brain illnesses, including many psychiatric and neurological disorders, are thought to have their origin in very early brain development [55][56][57] . Thus, characterizing neonatal cortical brain areas and their functional network characteristics is an important goal for systems neuroscience investigations into typical and atypical development.…”

Section: Neonatal Parcels Provide An Important Foundation For Studies...mentioning

confidence: 99%

Functional parcellation of the neonatal brain

Myers,

Labonte,

Gordon

et al. 2023

Preprint

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SUMMARYThe cerebral cortex is organized into distinct but interconnected cortical areas, which can be defined by abrupt differences in patterns of resting state functional connectivity (FC) across the cortical surface. Such parcellations of the cortex have been derived in adults and older infants, but there is no widely used surface parcellation available for the neonatal brain. Here, we first demonstrate that adult- and older infant-derived parcels are a poor fit with neonatal data, emphasizing the need for neonatal-specific parcels. We next derive a set of 283 cortical surface parcels from a sample of n=261 neonates. These parcels have highly homogenous FC patterns and are validated using three external neonatal datasets. The Infomap algorithm is used to assign functional network identities to each parcel, and derived networks are consistent with prior work in neonates. The proposed parcellation may represent neonatal cortical areas and provides a powerful tool for neonatal neuroimaging studies.HIGHLIGHTSNeonatal cortical surface parcels derived based on abrupt changes in functional connectivity (FC) were highly homogenous and were validated in external neonatal datasets.Borders between cortical parcels were smoother (less abrupt) in group-average neonatal data compared to adults, likely due to increased heterogeneity in boundary location across individual neonates.Parcels derived from adults and older infants show poor fit with neonatal resting-state FC data, underscoring the need for a neonatal-specific parcellation.

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Section: Neonatal Parcels Provide An Important Foundation For Studies...mentioning

confidence: 99%

Functional parcellation of the neonatal brain

Myers,

Labonte,

Gordon

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Other psychiatric disorders include anxiety disorders, mood disorders, childhood schizophrenia, etc. Epidemiological data have shown an increase in the prevalence of childhood neuropsychiatric disorders in recent years ( 2 , 3 ). The origin of neuropsychiatric disorders is multifaceted and certain events that occur during intrauterine life may contribute to the risk of these disorders ( 4 ).…”

Section: Introductionmentioning

confidence: 99%

Prenatal Drug Exposure in Children With a History of Neuropsychiatric Care: A Nested Case-Control Study

et al. 2022

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Background and ObjectivesNeuropsychiatric disorders in childhood after prenatal drug exposure raises concerns. Most of the published studies focused on psychotropic medications. This study investigated which prenatal medication exposure was associated with neuropsychiatric disorders in childhood.MethodsA case-control study, nested in the French POMME cohort, was conducted to compare prenatal medication exposure between children with a history of neuropsychiatric care (ages 0–8 years) and children in a control group. POMME included children born in Haute-Garonne to women covered by the general Health Insurance System, between 2010 and 2011 (N = 8,372). Cases were identified through: (1) reimbursement for neuropsychiatric care; (2) psychomotor development abnormalities specified on health certificates; and (3) reimbursement for methylphenidate or neuroleptics. Controls had none of these criteria. Prenatal exposure to each of the major “Anatomical Therapeutic Chemical” classes was compared between the groups. Class(es) for which there was a statistically significant difference (after Bonferroni adjustment, i.e., p < 0.0033) was(were) compared using logistic regression.ResultsA total of 723 (8.6%) cases and 4,924 (58.8%) controls were identified. This study showed a statistically significant difference in prenatal exposure to nervous system drugs (excluding analgesics) between the groups [ORa: 2.12 (1.55; 2.90)]. Differences (not statistically significant at the 0.0033 threshold) were also observed for the ATC classes: Musculoskeletal, Genito-urinary System and Sex Hormones, Alimentary Tract and Anti-infectives.ConclusionThrough identification of children with neuropsychiatric disorders and of their prenatal medication exposure, this study provides guidance for the assessment of long-term neuropsychiatric effects after prenatal medication exposure, without focusing on psychotropic medications.

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“…9,10 A variety of social and medical factors are associated with preterm birth, which is associated with metabolic disturbances in later life. 9,11 Long-term exposures to environmental toxins may be associated with certain forms of cancer. 12,13 The metabolic state and diets of parents can influence the risk of obesity for their children and grandchildren.…”

mentioning

confidence: 99%