Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology

Neuron, Год журнала: 2021, Номер 109(18), С. 2820 - 2846

Опубликована: Июль 15, 2021

Язык: Английский

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Standardizing workflows in imaging transcriptomics with the abagen toolbox

eLife, Год журнала: 2021, Номер 10

Опубликована: Ноя. 16, 2021

Gene expression fundamentally shapes the structural and functional architecture of human brain. Open-access transcriptomic datasets like Allen Human Brain Atlas provide an unprecedented ability to examine these mechanisms in vivo; however, a lack standardization across research groups has given rise myriad processing pipelines for using data. Here, we develop abagen toolbox, open-access software package working with data, use it how methodological variability influences outcomes Atlas. Applying three prototypical analyses outputs 750,000 unique pipelines, find that choice pipeline large impact on findings, parameters commonly varied literature influencing correlations between derived gene other imaging phenotypes by as much ρ ≥ 1.0. Our results further reveal ordering parameter importance, steps influence normalization yielding greatest downstream statistical inferences conclusions. The presented work development toolbox lay foundation more standardized systematic transcriptomics, will help advance future understanding

Язык: Английский

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Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex

Nature Communications, Год журнала: 2022, Номер 13(1)

Опубликована: Май 9, 2022

Abstract Brain structure scaffolds intrinsic function, supporting cognition and ultimately behavioral flexibility. However, it remains unclear how a static, genetically controlled architecture supports flexible behavior. Here, we synthesize genetic, phylogenetic cognitive analyses to understand the macroscale organization of structure-function coupling across cortex can inform its role in cognition. In humans, was highest regions unimodal lowest transmodal cortex, pattern that mirrored by reduced alignment with heritable connectivity profiles. Structure-function uncoupling macaques had similar spatial distribution, but observed an increased between function association cortices relative humans. Meta-analysis suggested least genetic control (low correspondence different primates) are linked social-cognition autobiographical memory. Our findings suggest evolutionary systems may support emergence complex forms

Язык: Английский

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Gradients in brain organization

NeuroImage, Год журнала: 2022, Номер 251, С. 118987 - 118987

Опубликована: Фев. 10, 2022

Язык: Английский

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BrainStat: A toolbox for brain-wide statistics and multimodal feature associations

NeuroImage, Год журнала: 2022, Номер 266, С. 119807 - 119807

Опубликована: Дек. 10, 2022

Analysis and interpretation of neuroimaging datasets has become a multidisciplinary endeavor, relying not only on statistical methods, but increasingly associations with respect to other brain-derived features such as gene expression, histological data, functional well cognitive architectures. Here, we introduce BrainStat - toolbox for (i) univariate multivariate linear models in volumetric surface-based brain imaging datasets, (ii) multidomain feature association results spatial maps post-mortem expression histology, task-based fMRI meta-analysis, resting-state motifs across several common surface templates. The combination statistics into turnkey streamlines analytical processes accelerates cross-modal research. is implemented both Python MATLAB, two widely used programming languages the neuroinformatics communities. openly available complemented by an expandable documentation.

Язык: Английский

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Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA study

Molecular Psychiatry, Год журнала: 2024, Номер 29(6), С. 1869 - 1881

Опубликована: Фев. 9, 2024

Abstract Schizophrenia is a prototypical network disorder with widespread brain-morphological alterations, yet it remains unclear whether these distributed alterations robustly reflect the underlying layout. We tested large-scale structural in schizophrenia relate to normative and functional connectome architecture, systematically evaluated robustness generalizability of network-level alterations. Leveraging anatomical MRI scans from 2439 adults 2867 healthy controls 26 ENIGMA sites data Human Connectome Project ( n = 207), we against two susceptibility models: (i) hub vulnerability, which examines associations between regional centrality magnitude disease-related alterations; (ii) epicenter mapping, identifies regions whose typical connectivity profile most closely resembles morphological To assess specificity, contextualized influence site, disease stages, individual clinical factors compared that found affective disorders. Our findings show schizophrenia-related cortical thinning spatially associated hubs, suggesting highly interconnected are more vulnerable Predominantly temporo-paralimbic frontal emerged as epicenters profiles linked schizophrenia’s alteration patterns. Findings were robust across sites, related symptoms. Moreover, transdiagnostic comparisons revealed overlapping bipolar, but not major depressive disorder, suggestive pathophysiological continuity within schizophrenia-bipolar-spectrum. In sum, over course follow brain emphasizing marked temporo-frontal at both level group individual. Subtle variations stages suggest interacting pathological processes, while patient-specific symptoms support additional inter-individual variability vulnerability schizophrenia. work outlines potential pathways better understand macroscale inter-

Язык: Английский

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Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism

Nature Communications, Год журнала: 2021, Номер 12(1)

Опубликована: Апрель 13, 2021

Abstract The pathophysiology of autism has been suggested to involve a combination both macroscale connectome miswiring and microcircuit anomalies. Here, we combine connectome-wide manifold learning with biophysical simulation models understand associations between global network perturbations dysfunctions in autism. We studied neuroimaging phenotypic data 47 individuals 37 typically developing controls obtained from the Autism Brain Imaging Data Exchange initiative. Our analysis establishes significant differences structural organization relative controls, strong between-group effects low-level somatosensory regions moderate high-level association cortices. Computational reveal that degree anomalies is related atypical increases recurrent excitation/inhibition, as well subcortical inputs into cortical microcircuits, especially sensory motor areas. Transcriptomic based on postmortem datasets identifies genes expressed thalamic areas childhood young adulthood. Finally, supervised machine finds are associated symptom severity scores Diagnostic Observation Schedule. Together, our analyses suggest subcortico-cortical interactions

Язык: Английский

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Age differences in the functional architecture of the human brain

Cerebral Cortex, Год журнала: 2022, Номер 33(1), С. 114 - 134

Опубликована: Янв. 28, 2022

Abstract The intrinsic functional organization of the brain changes into older adulthood. Age differences are observed at multiple spatial scales, from global reductions in modularity and segregation distributed systems, to network-specific patterns dedifferentiation. Whether dedifferentiation reflects an inevitable, shift function with age, circumscribed, experience-dependent changes, or both, is uncertain. We employed a multimethod strategy interrogate scales. Multi-echo (ME) resting-state fMRI was collected younger (n = 181) 120) healthy adults. Cortical parcellation sensitive individual variation implemented for precision mapping each participant while preserving group-level parcel network labels. ME-fMRI processing gradient identified macroscale differences. Multivariate connectivity methods tested microscale, edge-level Older adults had lower BOLD signal dimensionality, consistent Gradients were largely age-invariant. Edge-level analyses revealed discrete, Visual somatosensory regions more integrated within connectome; default frontoparietal control showed greater connectivity; dorsal attention heteromodal regions. These findings highlight importance multiscale, approaches characterize architecture aging.

Язык: Английский

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Dissociable multi-scale patterns of development in personalized brain networks

Nature Communications, Год журнала: 2022, Номер 13(1)

Опубликована: Май 12, 2022

Abstract The brain is organized into networks at multiple resolutions, or scales, yet studies of functional network development typically focus on a single scale. Here, we derive personalized across 29 scales in large sample youths (n = 693, ages 8–23 years) to identify multi-scale patterns re-organization related neurocognitive development. We found that developmental shifts inter-network coupling reflect and strengthen hierarchy cortical organization. Furthermore, observed scale-dependent effects were present lower-order, unimodal networks, but not higher-order, transmodal networks. Finally, maturation had clear behavioral relevance: the are dissociably emergence executive function. These results suggest align with refine linked cognition.

Язык: Английский

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Adolescent development of multiscale structural wiring and functional interactions in the human connectome

Proceedings of the National Academy of Sciences, Год журнала: 2022, Номер 119(27)

Опубликована: Июль 1, 2022

Adolescence is a time of profound changes in the physical wiring and function brain. Here, we analyzed structural functional brain network development an accelerated longitudinal cohort spanning 14 to 25 y ( n = 199). Core our work was advanced vivo model cortical incorporating MRI features corticocortical proximity, microstructural similarity, white matter tractography. Longitudinal analyses assessing age-related identified continued differentiation multiple networks youth. We then assessed structure–function coupling using resting-state measures same participants both via cross-sectional analysis at baseline by studying change between follow-up scans. At baseline, regions with more similar were likely be functionally coupled. Moreover, correlating connectivity reconfigurations, found that increased differentiation, particularly sensory/unimodal default mode networks, reflected reduced interactions. These findings provide insights into adolescent human structure function, illustrating how interacts maturation macroscale hierarchies.

Язык: Английский

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