Multimodal neural correlates of childhood psychopathology

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: March 3, 2023

A bstract Complex structural and functional changes occurring in typical atypical development necessitate multidimensional approaches to better understand the risk of developing psychopathology. Here, we simultaneously examined brain network patterns relation dimensions psychopathology Adolescent Brain Cognitive Development dataset. Several components were identified, recapitulating hierarchy, with general ( p ) factor explaining most covariance multimodal imaging features, while internalizing, externalizing, neurodevelopmental each associated distinct morphological connectivity signatures. Connectivity signatures followed sensory-to-transmodal axis cortical organization, which is related emergence complex cognition for Results consistent two separate data subsamples, supporting generalizability, robust variations analytical parameters. Our findings help understanding biological mechanisms underpinning psychopathology, could provide brain-based vulnerability markers.

Language: Английский

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Relation of resting brain signal variability to cognitive and socioemotional measures in an adult lifespan sample

Social Cognitive and Affective Neuroscience, Journal Year: 2023, Volume and Issue: 18(1)

Published: Jan. 1, 2023

Abstract Temporal variability of the fMRI-derived blood-oxygen-level-dependent (BOLD) signal during cognitive tasks shows important associations with individual differences in age and performance. Less is known about relations between spontaneous BOLD measured at rest relatively stable measures, such as IQ or socioemotional function. Here, we examined among resting variability, cognitive/socioemotional scores from NIH Toolbox optimal time day for alertness (chronotype) a sample 157 adults 20 to 86 years age. To investigate these independently age, regressed out both behavioral scores. We hypothesized that greater would be related higher fluid cognition scores, more positive on scales morningness chronotype. Consistent this idea, found correlations (e.g. self-efficacy) morning chronotype, well negative emotional loneliness). Unexpectedly, cognition. These results suggest brain facilitates function characterizes those morning-type circadian rhythms, but individuals may likely show less temporal measures activity.

Language: Английский

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Topological features of functional brain networks and subclinical impulsivity: an investigation in younger and older adults

Brain Structure and Function, Journal Year: 2024, Volume and Issue: 229(4), P. 865 - 877

Published: March 6, 2024

Abstract Impulsive traits (i.e., the tendency to act without forethought regardless of negative outcomes) are frequently found in healthy populations. When exposed risk factors, individuals may develop debilitating disorders impulse control (addiction, substance abuse, gambling) characterized by behavioral and cognitive deficits, eventually leading huge socioeconomic costs. With far-reaching aim preventing onset impulsive disorders, it is relevant investigate topological organization functional brain networks associated with impulsivity sub-clinical Taking advantage open-source LEMON dataset, we investigated features resting-state younger ( n = 146, age: 20–35) older 61, 59–77) individuals, using a graph-theoretical approach. Specifically, computed indices segregation integration at level specific circuits nodes known be involved (frontal, limbic, striatal networks). In results revealed that was more widespread, less clustered efficient organization, all levels analyses selected networks. Conversely, reduced increased regions. Speculatively, such alterations might underlie abnormalities impulsivity, working hypothesis worth being tested future research. Lastly, differences between reflect implementation age-specific adaptive strategies, possibly accounting for observed manifestations. Potential interpretations, limitations implications discussed.

Language: Английский

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Synaptic-dependent developmental dysconnectivity in 22q11.2 deletion syndrome

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 31, 2024

Abstract Chromosome 22q11.2 deletion is among the strongest known genetic risk factors for neuropsychiatric disorders, including autism and schizophrenia. Brain imaging studies have reported disrupted large-scale functional connectivity in people with 22q11 syndrome (22q11DS). However, significance biological determinants of these alterations remain unclear. Here, we use a cross-species design to investigate developmental trajectory neural underpinnings brain dysconnectivity 22q11DS. We find that LgDel mice, an established mouse model 22q11DS, exhibit age-specific patterns MRI (fMRI) dysconnectivity, widespread fMRI hyper-connectivity juvenile mice reverting focal hippocampal hypoconnectivity over puberty. These are mirrored by co-occurring dendritic spine density, both transiently normalized GSK3β inhibition, suggesting synaptic origin this phenomenon. Notably, analogous hyper-to reconfiguration occurs also human where it affects cortical regions spatially enriched genes interact GSK3β, autism-relevant transcripts. Functional somatomotor components network predictive age-dependent social carriers. Taken together, findings suggest synaptic-related mechanisms underlie developmentally mediated

Language: Английский

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In search of convergent regional brain abnormality in cognitive emotion regulation: A transdiagnostic neuroimaging meta‐analysis

Human Brain Mapping, Journal Year: 2021, Volume and Issue: 43(4), P. 1309 - 1325

Published: Nov. 26, 2021

Abstract Ineffective use of adaptive cognitive strategies (e.g., reappraisal) to regulate emotional states is often reported in a wide variety psychiatric disorders, suggesting common characteristic across different diagnostic categories. However, the extent shared neurobiological impairments incompletely understood. This study, therefore, aimed identify transdiagnostic neural signature disturbed reappraisal using coordinate‐based meta‐analysis (CBMA) approach. Following best‐practice guidelines for conducting neuroimaging meta‐analyses, we systematically searched PubMed, ScienceDirect, and Web Science databases tracked references. Out 1,608 identified publications, 32 whole‐brain studies were retrieved that compared brain activation patients with disorders healthy controls during task. Then, peak coordinates group comparisons extracted several likelihood estimation (ALE) analyses performed at three hierarchical levels potential spatial convergence: global level (i.e., pooled analysis increased/decreased activations), experimental‐contrast grouped data based on regulation goal, stimulus valence, instruction rule) disorder‐group focused increasing homogeneity disorders). Surprisingly, none our provided significant convergent findings. CBMA indicates lack regional abnormality related task, probably due complex nature emotion regulation, heterogeneity clinical populations, and/or experimental statistical flexibility individual studies.

Language: Английский

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