Dataset Information

Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders.

ABSTRACT: In the last decades, neuroimaging studies have attempted to unveil the neurobiological markers underlying pediatric psychiatric disorders. Yet, the vast majority of neuroimaging studies still focus on a single nosological category, which limit our understanding of the shared/specific neural correlates between these disorders. Therefore, we aimed to investigate the transdiagnostic neural correlates through a novel and data-driven meta-analytical method. A data-driven meta-analysis was carried out which grouped similar experiments' topographic map together, irrespectively of nosological categories and task-characteristics. Then, activation likelihood estimation meta-analysis was performed on each group of experiments to extract spatially convergent brain regions. One hundred forty-seven experiments were retrieved (3124 cases compared to 3100 controls): 79 attention-deficit/hyperactivity disorder, 32 conduct/oppositional defiant disorder, 14 anxiety disorders, 22 major depressive disorders. Four significant groups of experiments were observed. Functional characterization suggested that these groups of aberrant brain regions may be implicated internally/externally directed processes, attentional control of affect, somato-motor and visual processes. Furthermore, despite that some differences in rates of studies involving major depressive disorders were noticed, nosological categories were evenly distributed between these four sets of regions. Our results may reflect transdiagnostic neural correlates of pediatric psychiatric disorders, but also underscore the importance of studying pediatric psychiatric disorders simultaneously rather than independently to examine differences between disorders.

SUBMITTER: Dugre JR

PROVIDER: S-EPMC8941086 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders.

Dugré Jules R JR Eickhoff Simon B SB Potvin Stéphane S

Scientific reports 20220322 1

In the last decades, neuroimaging studies have attempted to unveil the neurobiological markers underlying pediatric psychiatric disorders. Yet, the vast majority of neuroimaging studies still focus on a single nosological category, which limit our understanding of the shared/specific neural correlates between these disorders. Therefore, we aimed to investigate the transdiagnostic neural correlates through a novel and data-driven meta-analytical method. A data-driven meta-analysis was carried out ...[more]

PMID: 35318371

Similar Datasets

Project description:ImportanceDelay discounting is a behavioral economic index of impulsive preferences for smaller-immediate or larger-delayed rewards that is argued to be a transdiagnostic process across health conditions. Studies suggest some psychiatric disorders are associated with differences in discounting compared with controls, but null findings have also been reported.ObjectiveTo conduct a meta-analysis of the published literature on delay discounting in people with psychiatric disorders.Data sourcesPubMed, MEDLINE, PsycInfo, Embase, and Web of Science databases were searched through December 10, 2018. The psychiatric keywords used were based on DSM-IV or DSM-5 diagnostic categories. Collected data were analyzed from December 10, 2018, through June 1, 2019.Study selectionFollowing a preregistered Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol, 2 independent raters reviewed titles, abstracts, and full-text articles. English-language articles comparing monetary delay discounting between participants with psychiatric disorders and controls were included.Data extraction and synthesisHedges g effect sizes were computed and random-effects models were used for all analyses. Heterogeneity statistics, one-study-removed analyses, and publication bias indices were also examined.Main outcomes and measuresCategorical comparisons of delay discounting between a psychiatric group and a control group.ResultsThe sample included 57 effect sizes from 43 studies across 8 diagnostic categories. Significantly steeper discounting for individuals with a psychiatric disorder compared with controls was observed for major depressive disorder (Hedges g = 0.37; P = .002; k = 7), schizophrenia (Hedges g = 0.46; P = .004; k = 12), borderline personality disorder (Hedges g = 0.60; P < .001; k = 8), bipolar disorder (Hedges g = 0.68; P < .001; k = 4), bulimia nervosa (Hedges g = 0.41; P = .001; k = 4), and binge-eating disorder (Hedges g = 0.34; P = .001; k = 7). In contrast, anorexia nervosa exhibited statistically significantly shallower discounting (Hedges g = -0.30; P < .001; k = 10). Modest evidence of publication bias was indicated by a statistically significant Egger test for schizophrenia and at the aggregate level across studies.Conclusions and relevanceResults of this study appear to provide empirical support for delay discounting as a transdiagnostic process across most of the psychiatric disorders examined; the literature search also revealed limited studies in some disorders, notably posttraumatic stress disorder, which is a priority area for research.

Project description:ObjectiveDisrupted emotional processing is a common feature of many psychiatric disorders. The authors investigated functional disruptions in neural circuitry underlying emotional processing across a range of tasks and across psychiatric disorders through a transdiagnostic quantitative meta-analysis of published neuroimaging data.MethodsA PubMed search was conducted for whole-brain functional neuroimaging findings published through May 2018 that compared activation during emotional processing tasks in patients with psychiatric disorders (including schizophrenia, bipolar or unipolar depression, anxiety, and substance use) to matched healthy control participants. Activation likelihood estimation (ALE) meta-analyses were conducted on peak voxel coordinates to identify spatial convergence.ResultsThe 298 experiments submitted to meta-analysis included 5,427 patients and 5,491 control participants. ALE across diagnoses and patterns of patient hyper- and hyporeactivity demonstrated abnormal activation in the amygdala, the hippocampal/parahippocampal gyri, the dorsomedial/pulvinar nuclei of the thalamus, and the fusiform gyri, as well as the medial and lateral dorsal and ventral prefrontal regions. ALE across disorders but considering directionality demonstrated patient hyperactivation in the amygdala and the hippocampal/parahippocampal gyri. Hypoactivation was found in the medial and lateral prefrontal regions, most pronounced during processing of unpleasant stimuli. More refined disorder-specific analyses suggested that these overall patterns were shared to varying degrees, with notable differences in patterns of hyper- and hypoactivation.ConclusionsThese findings demonstrate a pattern of neurocircuit disruption across major psychiatric disorders in regions and networks key to adaptive emotional reactivity and regulation. More specifically, disruption corresponded prominently to the "salience" network, the ventral striatal/ventromedial prefrontal "reward" network, and the lateral orbitofrontal "nonreward" network. Consistent with the Research Domain Criteria initiative, these findings suggest that psychiatric illness may be productively formulated as dysfunction in transdiagnostic neurobehavioral phenotypes such as neurocircuit activation.

Project description:ObjectiveCognitive deficits are a common feature of psychiatric disorders. The authors investigated the nature of disruptions in neural circuitry underlying cognitive control capacities across psychiatric disorders through a transdiagnostic neuroimaging meta-analysis.MethodA PubMed search was conducted for whole-brain functional neuroimaging articles published through June 2015 that compared activation in patients with axis I disorders and matched healthy control participants during cognitive control tasks. Tasks that probed performance or conflict monitoring, response inhibition or selection, set shifting, verbal fluency, and recognition or working memory were included. Activation likelihood estimation meta-analyses were conducted on peak voxel coordinates.ResultsThe 283 experiments submitted to meta-analysis included 5,728 control participants and 5,493 patients with various disorders (schizophrenia, bipolar or unipolar depression, anxiety disorders, and substance use disorders). Transdiagnostically abnormal activation was evident in the left prefrontal cortex as well as the anterior insula, the right ventrolateral prefrontal cortex, the right intraparietal sulcus, and the midcingulate/presupplementary motor area. Disruption was also observed in a more anterior cluster in the dorsal cingulate cortex, which overlapped with a network of structural perturbation that the authors previously reported in a transdiagnostic meta-analysis of gray matter volume.ConclusionsThese findings demonstrate a common pattern of disruption across major psychiatric disorders that parallels the "multiple-demand network" observed in intact cognition. This network interfaces with the anterior-cingulo-insular or "salience network" demonstrated to be transdiagnostically vulnerable to gray matter reduction. Thus, networks intrinsic to adaptive, flexible cognition are vulnerable to broad-spectrum psychopathology. Dysfunction in these networks may reflect an intermediate transdiagnostic phenotype, which could be leveraged to advance therapeutics.

Project description:Lifestyle changes involving high caloric diet, sedentary life, and/or persistent stress appear to play a role in the onset of metabolic syndrome (MetS), which is characterized by hyperglycemia, hyperinsulinemia, dyslipidemia, obesity, and type-2 diabetes. MetS in the long run appears to have cerebrovascular consequences, resulting in neuropsychiatric disorders. However, there is a paucity of molecular studies using relevant animal models of metabolic disorder-induced neuropsychiatric disorders. Here, we tried to model the clinical conditions of MetS by feeding C57bl/6 Ncrl mice a high fructose diet (Hfr) for almost 12 months. Random glucose, fasting glucose, glucose tolerance, and triglycerides did not differ significantly between the Hfr diet and Control diet (Cont) groups even after a year on the Hfr diet, except for the accelerated aging-like phenotype in coat color and shiny texture. However, exposure to chronic stress for a week induced metabolic disorder as reflected in high post-prandial blood glucose in the Hfr group, and subsequently mood disorder (depression and anxiety) (p<0.01) and cognitive disorder (p<0.01) as indicated by the behavioral tests. To uncover the underlying molecular mechanisms in the prefrontal cortex, a transcriptomic study was performed. The data analysis revealed hundreds of differentially expressed genes (DEGs) between the groups (i.e., HfrUST vs CoUST = 348 genes; CoST vs CoUST = 496 genes; HfrST vs HfrUST =226 genes and HfrST vs CoST= 18 genes). The pattern of gene expression was strikingly different in the HfrST group compared to the Ctrl group, thus correlating the phenotype, i.e. MetS induced mood and cognitive disorders. Pathway analysis of the DEGs indicated perturbations in cellular metabolism, inflammation, innate immunity, neurogenesis, vasculogenesis, ion channels, and neuronal signaling. In addition, altered epigenetic regulators appear to mediate the stress-induced precipitation of metabolic and neuropsychiatric disorders. The outcome of our study supports the hypothesis of disease susceptibility due to lifestyle changes involving a high-calorie diet and chronic stress.

Dataset Information

Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders.

Publications

Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets