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Human brain structure changes throughout the lifespan. Altered brain growth or rates of decline are implicated in a vast range of psychiatric, developmental and neurodegenerative diseases. In this study, we identified common genetic variants that affect rates of brain growth or atrophy in what is, to our knowledge, the first genome-wide association meta-analysis of changes in brain morphology across the lifespan. Longitudinal magnetic resonance imaging data from 15,640 individuals were used to compute rates of change for 15 brain structures. The most robustly identified genes GPR139, DACH1 and APOE are associated with metabolic processes. We demonstrate global genetic overlap with depression, schizophrenia, cognitive functioning, insomnia, height, body mass index and smoking. Gene set findings implicate both early brain development and neurodegenerative processes in the rates of brain changes. Identifying variants involved in structural brain changes may help to determine biological pathways underlying optimal and dysfunctional brain development and aging.

Detailed descriptions of cortical anatomy in youth with Down syndrome (DS), the most common genetic cause of intellectual disability (ID), are scant. Thus, the current study examined deviations in cortical thickness (CT) and surface area (SA), at high spatial resolution, in youth with DS, to identify focal differences relative to typically developing (TD) youth. Participants included 31 youth with DS and 45 age- and sex-matched TD controls (mean age ∼16 years; range = 5-24 years). All participants completed T1-weighted ASSET-calibrated magnetization prepared rapid gradient echo scans on a 3-T magnetic resonance imaging scanner. Replicating prior investigations, cortical volume was reduced in DS compared with controls. However, a novel dissociation for SA and CT was found-namely, SA was reduced (predominantly in frontal and temporal regions) while CT was increased (notably in several regions thought to belong to the default mode network; DMN). These findings suggest that reductions in SA rather than CT are driving the cortical volume reductions reported in prior investigations of DS. Moreover, given the link between DMN functionality and Alzheimer's symptomatology in chromosomally typical populations, future DS studies may benefit from focusing on the cortex in DMN regions, as such investigations may provide clues to the precocious onset of Alzheimer's disease in this at-risk group.

There are varying, often conflicting, reports with respect to altered striatal volume and morphometry in the major psychoses due to the influences of antipsychotic medications on striatal volume. Thus, disassociating disease effects from those of medication become exceedingly difficult. For the first time, using a longitudinally studied sample of structural magnetic resonance images from patients with childhood onset schizophrenia (COS; neurobiologically contiguous with the adult onset form of schizophrenia), their nonpsychotic siblings (COSSIBs), and novel shape mapping algorithms that are volume independent, we report the familial contribution of striatal morphology in schizophrenia. The results of our volumetric analyses demonstrate age-related increases in overall striatal volumes specific only to COS. However, both COS and COSSIBs showed overlapping shape differences in the striatal head, which normalized in COSSIBs by late adolescence. These results mirror previous studies from our group, demonstrating cortical thickness deficits in COS and COSSIBs as these deficits normalize in COSSIBs in the same age range as our striatal findings. Finally, there is a single region of nonoverlapping outward displacement in the dorsal aspect of the caudate body, potentially indicative of a response to medication. Striatal shape may be considered complimentary to volume as an endophenotype, and, in some cases may provide information that is not detectable using standard volumetric techniques. Our striatal shape findings demonstrate the striking localization of abnormalities in striatal the head. The neuroanatomical localization of these findings suggest the presence of abnormalities in the striatal-prefrontal circuits in schizophrenia and resilience mechanisms in COSSIBs with age dependent normalization.

The advent of magnetic resonance imaging, which safely allows in vivo quantification of anatomical and physiological features of the brain, has revolutionized pediatric neuroscience. Longitudinal studies are useful for the characterization of developmental trajectories (ie, changes in imaging measures by age). Developmental trajectories (as opposed to static measures) have proven to have greater power in discriminating healthy from clinical groups and in predicting cognitive/behavioral measures, such as IQ. Here we summarize results from an ongoing longitudinal pediatric neuroimaging study that has been conducted at the Child Psychiatry Branch of the National Institute of Mental Health since 1989. Developmental trajectories of structural MRI brain measures from healthy youth are compared and contrasted with trajectories in attention-deficit/hyperactivity disorder (ADHD) and childhood-onset schizophrenia. Across ages 5-25 years, in both healthy and clinical populations, white matter volumes increase and gray matter volumes follow an inverted U trajectory, with peak size occurring at different times in different regions. At a group level, differences related to psychopathology are seen for gray and white matter volumes, rates of change, and for interconnectedness among disparate brain regions.

Introduction Neuropsychiatric disorders share common traits along a spectrum of genetic, neurobiological and clinical dimensions. (1-3) Mounting evidence for shared risk factors and neurobiological phenotypes has called for improved biological [...], Background: There is evidence suggesting neuropsychiatrie disorders share genomic, cognitive and clinical features. Here, we ask if autism-spectrum disorders (ASD), attention-deficit/hyperactivity disorder (ADHD) and schizophrenia share neuroanatomical variations. Methods: First, we used measures of cortical anatomy to estimate spatial overlap of neuroanatomical variation using univariate methods. Next, we developed a novel methodology to determine whether cortical deficits specifically target or are "enriched" within functional resting-state networks. Results: We found cortical anomalies were preferentially enriched across functional networks rather than clustering spatially. Specifically, cortical thickness showed significant enrichment between patients with ASD and those with ADHD in the default mode network, between patients with ASD and those with schizophrenia in the frontoparietal and limbic networks, and between patients with ADHD and those with schizophrenia in the ventral attention network. Networks enriched in cortical thickness anomalies were also strongly represented in functional MRI results (Neurosynth; r = 0.64, p = 0.032). Limitations: We did not account for variable symptom dimensions and severity in patient populations, and our cross-sectional design prevented longitudinal analyses of developmental trajectories. Conclusion: These findings suggest that common deficits across neuropsychiatric disorders cannot simply be characterized as arising out of local changes in cortical grey matter, but rather as entities of both local and systemic alterations targeting brain networks.

Objective: Cortical gray matter (GM) abnormalities in patients with childhood-onset schizophrenia (COS) progress during adolescence ultimately localizing to prefrontal and temporal cortices by early adult age. A previous study of 52 nonpsychotic siblings of COS probands had significant prefrontal and temporal GM deficits that appeared to "normalize" by age 17 years. Here we present a replication with nonoverlapping groups of healthy full siblings and healthy controls. Method: Using an automated measure and prospectively acquired anatomical brain magnetic resonance images, we mapped cortical GM thickness in nonpsychotic full siblings (n = 43, 68 scans; ages 5 through 26 years) of patients with COS, contrasting them with age-, gender-, and scan interval-matched healthy controls (n = 86, 136 scans). The false-discovery rate procedure was used to control for type I errors due to multiple comparisons. Results: As in our previous study, young nonpsychotic siblings (less than 17 years) showed significant GM deficits in bilateral prefrontal and left temporal cortices and, in addition, smaller deficits in the parietal and right inferior temporal cortices. These deficits in nonpsychotic siblings normalized with age with minimal abnormalities remaining by age 17. Conclusions: Our results support previous findings showing nonpsychotic siblings of COS probands to have early GM deficits that ameliorate with time. At early ages, prefrontal and/or temporal loss may serve as a familial/trait marker for COS. Late adolescence appears to be a critical period for greatest localization of deficits in probands or normalization in nonpsychotic siblings. (Contains 2 figures, 1 table, and 2 videos.)

Recent studies with brain magnetic resonance imaging (MRI) have scanned large numbers of children and adolescents repeatedly over time, as their brains develop, tracking volumetric changes in gray and white matter in remarkable detail. Focusing on gray matter changes specifically, here we explain how earlier studies using lobar volumes of specific anatomical regions showed how different lobes of the brain matured at different rates. With the advent of more sophisticated brain mapping methods, it became possible to chart the dynamic trajectory of cortical maturation using detailed 3D and 4D (dynamic) models, showing spreading waves of changes evolving through the cortex. This led to a variety of time-lapse films revealing characteristic deviations from normal development in schizophrenia, bipolar illness, and even in siblings at genetic risk for these disorders. We describe how these methods have helped clarify how cortical development relates to cognitive performance, functional recovery or decline in illness, and ongoing myelination processes. These time-lapse maps have also been used to study effects of genotype and medication on cortical maturation, presenting a powerful framework to study factors that influence the developing brain. (Contains 6 figures.)

The use of longitudinal neuroimaging to study the developmental perspectives of brain pathology in children with childhood-onset schizophrenia (COS) is described. Structural neuroimaging is capable of providing evidence of neurobiological specificity of COS to distinguish it from other brain abnormalities seen in neuropsychiatric illnesses like pediatric bipolar illness, which exhibit similar clinical symptoms.

Background: There are, to date, no pre-post onset longitudinal imaging studies of bipolar disorder at any age. We report the first prospective study of cortical brain development in pediatric bipolar illness for 9 male children, visualized before and after illness onset. Method: We contrast this pattern with that observed in a matched group of healthy children as well as in a matched group of 8 children with "atypical psychosis" who had similar initial presentation marked by mood dysregulation and transient psychosis (labeled as "multi-dimensionally impaired" (MDI)) as in the bipolar group, but have not, to date, developed bipolar illness. Results: Dynamic maps, reconstructed by applying novel cortical pattern matching algorithms, for the children who became bipolar I showed subtle, regionally specific, bilaterally asymmetrical cortical changes. Cortical GM increased over the left temporal cortex and decreased bilaterally in the anterior (and sub genual) cingulate cortex. This was seen most strikingly after the illness onset, and showed a pattern distinct from that seen in childhood onset schizophrenia. The bipolar neurodevelopmental trajectory was generally shared by the children who remained with MDI diagnosis without converting to bipolar I, suggesting that this pattern of cortical development may reflect affective dysregulation (lability) in general. Conclusions: These dynamic trajectories of cortical development may explain age-related disparate findings from cross-sectional studies of bipolar illness, and suggest the importance of mood disordered non-bipolar control group in future studies.

Objective: Weight gain is a serious side effect of atypical antipsychotics, especially in childhood. In this study, the authors examined six weight gain-related hormones in patients with childhood-onset schizophrenia (COS) after 6 weeks of clozapine treatment. Method: Fasting serum samples for 24 patients with COS and 21 matched healthy controls (HC) were obtained. Levels of leptin, insulin, adiponectin, amylin, reline, and tumor necrosis factor [alpha] were measured and compared between the groups. For 23 patients with COS, hormonal levels were measured at background and week 6 of clozapine treatment. Change in body mass index was correlated with levels of clozapine and changes in hormonal levels and clinical ratings. Results: At baseline, COS did not differ significantly from HC on any hormonal measure. Clozapine treatment was associated with significant (7.9% [+ or -] 8.5%) increase in mean body mass index. Only leptin levels increased significantly from baseline to week 6 on clozapine (p = .003). Body mass index increase was significantly correlated with decrease in reline and adiponectin and was positively correlated with clinical improvement. Conclusions: This is the first study of weight gain-related hormones in children on clozapine. Hormonal changes are correlated with weight gain. How effectiveness of clozapine is linked to weight gain remains uncertain.

The DSM-5 text revision (DSM-5-TR) is the first published revision of the DSM-5 since its publication in 2013. Like the previous text revision (DSM-IV-TR), the main goal of the DSM-5-TR is to comprehensively update the descriptive text accompanying each DSM disorder on the basis of reviews of the literature over the past 10 years. In contrast to the DSM-IV-TR, in which updates were confined almost exclusively to the text, the DSM-5-TR includes many other changes and enhancements of interest to practicing clinicians, such as the addition of diagnostic categories (prolonged grief disorder, stimulant-induced mild neurocognitive disorder, unspecified mood disorder, and a category to indicate the absence of a diagnosis); the provision of ICD-10-CM symptom codes for reporting suicidal and nonsuicidal self-injurious behavior; modifications, mostly for clarity, of the diagnostic criteria for more than 70 disorders; and updates in terminology (e.g., replacing "neuroleptic medications" with "antipsychotic medications or other dopamine receptor blocking agents" throughout the text and replacing "desired gender" with "experienced gender" in the text for gender dysphoria). Finally, the entire text was reviewed by an Ethnoracial Equity and Inclusion Work Group to ensure appropriate attention to risk factors such as the experience of racism and discrimination, as well as the use of nonstigmatizing language. [ABSTRACT FROM AUTHOR]

Extensive experience with the diagnosis of childhood-onset schizophrenia indicates a high rate of false positives. Most mislabeled patients have chronic disabling, affective, or behavioral disorders. The authors report the cases of three children who passed stringent initial childhood-onset schizophrenia "screens" but had no chronic psychotic disorder. For two, the European literature yielded more fitting diagnoses: psychosis not otherwise specified (e.g., reactive or psychogenic psychosis, paranoid schizophrenia), single episode in full remission (e.g., anxiety psychosis), and factitious disorder (DSM-IV 300. 16). These cases illustrate that transient psychotic illnesses can be misdiagnosed as childhood-onset schizophrenia. Proper identification can prevent years of inappropriate therapies. J. Am. Acad. Child Adolesc. Psychiatry, 2004;43(8): 1026-1029. Key Words: childhood-onset schizophrenia, transient psychosis, brief reactive psychosis, anxiety psychosis, factitious disorder by proxy.

Although psychotic illnesses are fortunately rare in children, contrary to common belief, psychotic symptoms can be fairly common in very young healthy children. As a symptomatic child grows older, these [...]

Clinical, demographic, and brain development data on childhood-onset schizophrenia (COS) and family, imaging and genetic data from studies of autism were reviewed. It is found that COS is preceded by and comorbid with autism/pervasive developmental disorder and schizophrenia in 30 to 50 percent of cases based on two large studies.