Gradients of structure–function tethering across neocortex

Proceedings of the National Academy of Sciences, Год журнала: 2019, Номер 116(42), С. 21219 - 21227

Опубликована: Сен. 30, 2019

The white matter architecture of the brain imparts a distinct signature on neuronal coactivation patterns. Interregional projections promote synchrony among distant populations, giving rise to richly patterned functional networks. A variety statistical, communication, and biophysical models have been proposed study relationship between structure function, but link is not yet known. In present report we seek relate structural connection profiles individual areas. We apply simple multilinear model that incorporates information about spatial proximity, routing, diffusion regions predict their connectivity. find structure–function relationships vary markedly across neocortex. Structure function correspond closely in unimodal, primary sensory, motor regions, diverge transmodal cortex, particularly default mode salience divergence systematically follows cytoarchitectonic hierarchies. Altogether, results demonstrate networks do align uniformly brain, gradually uncouple higher-order polysensory

Язык: Английский

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Mapping neurotransmitter systems to the structural and functional organization of the human neocortex

Nature Neuroscience, Год журнала: 2022, Номер 25(11), С. 1569 - 1581

Опубликована: Окт. 27, 2022

Abstract Neurotransmitter receptors support the propagation of signals in human brain. How receptor systems are situated within macro-scale neuroanatomy and how they shape emergent function remain poorly understood, there exists no comprehensive atlas receptors. Here we collate positron emission tomography data from more than 1,200 healthy individuals to construct a whole-brain three-dimensional normative 19 transporters across nine different neurotransmitter systems. We found that profiles align with structural connectivity mediate function, including neurophysiological oscillatory dynamics resting-state hemodynamic functional connectivity. Using Neurosynth cognitive atlas, uncovered topographic gradient overlapping distributions separates extrinsic intrinsic psychological processes. Finally, both expected novel associations between cortical abnormality patterns 13 disorders. replicated all findings an independently collected autoradiography dataset. This work demonstrates chemoarchitecture shapes brain structure providing new direction for studying multi-scale organization.

Язык: Английский

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Distance-dependent consensus thresholds for generating group-representative structural brain networks

Network Neuroscience, Год журнала: 2018, Номер 3(2), С. 475 - 496

Опубликована: Дек. 10, 2018

Large-scale structural brain networks encode white matter connectivity patterns among distributed areas. These connection are believed to support cognitive processes and, when compromised, can lead neurocognitive deficits and maladaptive behavior. A powerful approach for studying the organizing principles of is construct group-representative from multisubject cohorts. Doing so amplifies signal noise ratios provides a clearer picture network organization. Here, we show that current approaches generating sparse overestimate proportion short-range connections present in as result, fail match subject-level along wide range statistics. We an alternative preserves connection-length distribution individual subjects. have used this method previous papers generate networks, though date its performance has not been appropriately benchmarked compared against other methods. As result simple modification, generated using successfully recapitulate properties, outperforming similar by better preserving features promote integrative function rather than segregative. The developed here holds promise future studies investigating basic organizational large-scale networks.

Язык: Английский

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Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study

Science Advances, Год журнала: 2020, Номер 6(47)

Опубликована: Ноя. 19, 2020

Epilepsy is increasingly conceptualized as a network disorder. In this cross-sectional mega-analysis, we integrated neuroimaging and connectome analysis to identify associations with atrophy patterns in 1021 adults epilepsy compared 1564 healthy controls from 19 international sites. temporal lobe epilepsy, areas of colocalized highly interconnected cortical hub regions, whereas idiopathic generalized showed preferential subcortical involvement. These morphological abnormalities were anchored the connectivity profiles distinct disease epicenters, pointing temporo-limbic cortices fronto-central epilepsy. Negative effects age on further revealed strong influence architecture lobe, but not generalized, Our findings reproduced across individual sites single patients robust different analytical methods. Through worldwide collaboration ENIGMA-Epilepsy, provided deeper insights into macroscale features that shape pathophysiology common epilepsies.

Язык: Английский

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Genetic influences on hub connectivity of the human connectome

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

Опубликована: Июль 9, 2021

Brain network hubs are both highly connected and inter-connected, forming a critical communication backbone for coherent neural dynamics. The mechanisms driving this organization poorly understood. Using diffusion-weighted magnetic resonance imaging in twins, we identify major role genes, showing that they preferentially influence connectivity strength between of the human connectome. transcriptomic atlas data, show demonstrate tight coupling transcriptional activity related to metabolic cytoarchitectonic similarity. Finally, comparing over thirteen generative models growth, purely stochastic processes cannot explain precise wiring patterns hubs, model performance can be improved by incorporating genetic constraints. Our findings indicate genes play strong preferential shaping functionally valuable, metabolically costly connections connectome hubs.

Язык: Английский

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Local molecular and global connectomic contributions to cross-disorder cortical abnormalities

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

Опубликована: Авг. 10, 2022

Abstract Numerous brain disorders demonstrate structural abnormalities, which are thought to arise from molecular perturbations or connectome miswiring. The unique and shared contributions of these connectomic vulnerabilities remain unknown, has yet be studied in a single multi-disorder framework. Using MRI morphometry the ENIGMA consortium, we construct maps cortical abnormalities for thirteen neurodevelopmental, neurological, psychiatric N = 21,000 participants 26,000 controls, collected using harmonised processing protocol. We systematically compare multiple micro-architectural measures, including gene expression, neurotransmitter density, metabolism, myelination (molecular vulnerability), as well global measures number connections, centrality, connection diversity (connectomic vulnerability). find relationship between vulnerability white-matter architecture that drives disorder profiles. Local attributes, particularly receptor profiles, constitute best predictors both disorder-specific morphology cross-disorder similarity. Finally, consistently subtended by small subset network epicentres bilateral sensory-motor, inferior temporal lobe, precuneus, superior parietal cortex. Collectively, our results highlight how local attributes connectivity jointly shape abnormalities.

Язык: Английский

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An Open MRI Dataset For Multiscale Neuroscience

Scientific Data, Год журнала: 2022, Номер 9(1)

Опубликована: Сен. 15, 2022

Multimodal neuroimaging grants a powerful window into the structure and function of human brain at multiple scales. Recent methodological conceptual advances have enabled investigations interplay between large-scale spatial trends (also referred to as gradients) in microstructure connectivity, offering an integrative framework study multiscale organization. Here, we share multimodal MRI dataset for Microstructure-Informed Connectomics (MICA-MICs) acquired 50 healthy adults (23 women; 29.54 ± 5.62 years) who underwent high-resolution T1-weighted MRI, myelin-sensitive quantitative T1 relaxometry, diffusion-weighted resting-state functional 3 Tesla. In addition raw anonymized data, this release includes brain-wide connectomes derived from (i) imaging, (ii) diffusion tractography, (iii) covariance analysis, (iv) geodesic cortical distance, gathered across parcellation Alongside, gradients estimated each modality scale. Our will facilitate future research examining coupling microstructure, function. MICA-MICs is available on Canadian Open Neuroscience Platform data portal ( https://portal.conp.ca ) Science Framework https://osf.io/j532r/ ).

Язык: Английский

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The architecture of the human default mode network explored through cytoarchitecture, wiring and signal flow

Nature Neuroscience, Год журнала: 2025, Номер unknown

Опубликована: Янв. 28, 2025

Abstract The default mode network (DMN) is implicated in many aspects of complex thought and behavior. Here, we leverage postmortem histology vivo neuroimaging to characterize the anatomy DMN better understand its role information processing cortical communication. Our results show that cytoarchitecturally heterogenous, containing cytoarchitectural types are variably specialized for unimodal, heteromodal memory-related processing. Studying diffusion-based structural connectivity combination with cytoarchitecture, found contains regions receptive input from sensory cortex a core relatively insulated environmental input. Finally, analysis signal flow effective models showed unique amongst networks balancing output across levels hierarchies. Together, our study establishes an anatomical foundation which accounts broad plays human brain function cognition can be developed.

Язык: Английский

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Topographic gradients of intrinsic dynamics across neocortex

eLife, Год журнала: 2020, Номер 9

Опубликована: Дек. 17, 2020

The intrinsic dynamics of neuronal populations are shaped by both microscale attributes and macroscale connectome architecture. Here we comprehensively characterize the rich temporal patterns neural activity throughout human brain. Applying massive feature extraction to regional haemodynamic activity, systematically estimate over 6000 statistical properties individual brain regions' time-series across neocortex. We identify two robust spatial gradients dynamics, one spanning a ventromedial-dorsolateral axis dominated measures signal autocorrelation, other unimodal-transmodal dynamic range. These reflect gene expression, intracortical myelin cortical thickness, as well structural functional network embedding. Importantly, these correlated with meta-analytic activation, differentiating cognitive versus affective processing sensory higher-order processing. Altogether, findings demonstrate link between architecture, cognition.

Язык: Английский

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Spatial Patterning of Tissue Volume Loss in Schizophrenia Reflects Brain Network Architecture

Biological Psychiatry, Год журнала: 2019, Номер 87(8), С. 727 - 735

Опубликована: Окт. 24, 2019

There is growing recognition that connectome architecture shapes cortical and subcortical gray matter atrophy across a spectrum of neurological psychiatric diseases. Whether connectivity contributes to tissue volume loss in schizophrenia the same manner remains unknown.Here, we relate patients with patterns structural functional connectivity. Gray deformation was estimated sample 133 individuals chronic (48 women, mean age 34.7 ± 12.9 years) 113 control subjects (64 23.5 8.4 years). Deformation-based morphometry used estimate from T1-weighted magnetic resonance images. Structural were derived an independent 70 healthy participants using diffusion imaging resting-state imaging.We found regional correlated structurally functionally connected neighbors. Distributed are circumscribed by specific systems (the ventral attention network) cytoarchitectonic classes (limbic class), epicenter anterior cingulate cortex.Altogether, present study demonstrates brain conditioned connectivity, accounting for 25% 35% variance deformation.

Язык: Английский

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