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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Comparing spatial null models for brain maps

NeuroImage, Год журнала: 2021, Номер 236, С. 118052 - 118052

Опубликована: Апрель 19, 2021

Technological and data sharing advances have led to a proliferation of high-resolution structural functional maps the brain. Modern neuroimaging research increasingly depends on identifying correspondences between topographies these maps; however, most standard methods for statistical inference fail account their spatial properties. Recently, multiple been developed generate null distributions that preserve autocorrelation brain yield more accurate estimates. Here, we comprehensively assess performance ten published frameworks in analyses data. To test efficacy situations with known ground truth, first apply them series controlled simulations examine impact resolution family-wise error rates. Next, use each framework two empirical datasets, investigating when testing (1) correspondence (e.g., correlating activation maps) (2) distribution feature within partition quantifying specificity an map intrinsic network). Finally, investigate how differences implementation models may performance. In agreement previous reports, find naive do not consistently elevated false positive rates unrealistically liberal While spatially-constrained yielded realistic, conservative estimates, even suffer from inflated variable across analyses. Throughout our results, observe minimal parcellation model Altogether, findings highlight need continued development statistically-rigorous comparing maps. The present report provides harmonised benchmarking future advancements.

Язык: Английский

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A synergistic core for human brain evolution and cognition

Nature Neuroscience, Год журнала: 2022, Номер 25(6), С. 771 - 782

Опубликована: Май 26, 2022

Язык: Английский

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Epilepsy and brain network hubs

Epilepsia, Год журнала: 2022, Номер 63(3), С. 537 - 550

Опубликована: Янв. 28, 2022

Epilepsy is a disorder of brain networks. A better understanding structural and dynamic network properties may improve epilepsy diagnosis, treatment, prognostics. Hubs are regions with high connectivity to other parts the typically situated along brain's most efficient communication pathways, supporting large-scale wiring many higher order neural functions. The visualization analysis hubs offers perspective on regional global organization can provide novel insights into disorders epilepsy. By notably interaction between various networks, be implicated in seizure spread epilepsy-related phenotypes. In this review, we will discuss growing literature atypical hub common syndromes, both related neuroimaging structure function, neurophysiological data from magneto- electroencephalographic measures dynamics. With studies increasingly exploring clinical utility neuroscience approaches, highlight potential mapping as candidate biomarker cognitive dysfunction postsurgical outcome. We conclude review discussion current limitations outlook for future research.

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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Coordinated cortical thickness alterations across six neurodevelopmental and psychiatric disorders

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

Опубликована: Ноя. 11, 2022

Abstract Neuropsychiatric disorders are increasingly conceptualized as overlapping spectra sharing multi-level neurobiological alterations. However, whether transdiagnostic cortical alterations covary in a biologically meaningful way is currently unknown. Here, we studied co-alteration networks across six neurodevelopmental and psychiatric disorders, reflecting pathological structural covariance. In 12,024 patients 18,969 controls from the ENIGMA consortium, observed that patterns followed normative connectome organization were anchored to prefrontal temporal disease epicenters. Manifold learning revealed frontal-to-temporal sensory/limbic-to-occipitoparietal gradients, differentiating shared illness effects on thickness along these axes. The principal gradient aligned with covariance established transcriptomic link cortico-cerebello-thalamic circuits. Moreover, gradients segregated functional involved basic sensory, attentional/perceptual, domain-general cognitive processes, distinguished between regional cytoarchitectonic profiles. Together, our findings indicate occur synchronized fashion multiple levels of hierarchical organization.

Язык: Английский

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Micapipe: A pipeline for multimodal neuroimaging and connectome analysis

NeuroImage, Год журнала: 2022, Номер 263, С. 119612 - 119612

Опубликована: Сен. 6, 2022

Multimodal magnetic resonance imaging (MRI) has accelerated human neuroscience by fostering the analysis of brain microstructure, geometry, function, and connectivity across multiple scales in living brains. The richness complexity multimodal neuroimaging, however, demands processing methods to integrate information modalities consolidate findings different spatial scales. Here, we present micapipe, an open pipeline for MRI datasets. Based on BIDS-conform input data, micapipe can generate i) structural connectomes derived from diffusion tractography, ii) functional resting-state signal correlations, iii) geodesic distance matrices that quantify cortico-cortical proximity, iv) microstructural profile covariance assess inter-regional similarity cortical myelin proxies. above be automatically generated established 18 parcellations (100-1000 parcels), addition subcortical cerebellar parcellations, allowing researchers replicate easily Results are represented three surface spaces (native, conte69, fsaverage5), outputs BIDS-conform. Processed quality controlled at individual group level. was tested several datasets is available https://github.com/MICA-MNI/micapipe, documented https://micapipe.readthedocs.io/, containerized as a BIDS App http://bids-apps.neuroimaging.io/apps/. We hope will foster robust integrative studies morphology, cand connectivity.

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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Distributed harmonic patterns of structure-function dependence orchestrate human consciousness

Communications Biology, Год журнала: 2023, Номер 6(1)

Опубликована: Янв. 28, 2023

Abstract A central question in neuroscience is how consciousness arises from the dynamic interplay of brain structure and function. Here we decompose functional MRI signals pathological pharmacologically-induced perturbations into distributed patterns structure-function dependence across scales: harmonic modes human structural connectome. We show that coupling a generalisable indicator under bi-directional neuromodulatory control. find increased scales during loss consciousness, whether due to anaesthesia or injury, capable discriminating between behaviourally indistinguishable sub-categories brain-injured patients, tracking presence covert consciousness. The opposite signature characterises altered state induced by LSD ketamine, reflecting psychedelic-induced decoupling function correlating with physiological subjective scores. Overall, connectome decomposition reveals neuromodulation network architecture jointly shape activation scales.

Язык: Английский

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Cortical gene expression architecture links healthy neurodevelopment to the imaging, transcriptomics and genetics of autism and schizophrenia

Nature Neuroscience, Год журнала: 2024, Номер 27(6), С. 1075 - 1086

Опубликована: Апрель 22, 2024

Abstract Human brain organization involves the coordinated expression of thousands genes. For example, first principal component (C1) cortical transcription identifies a hierarchy from sensorimotor to association regions. In this study, optimized processing Allen Brain Atlas revealed two new components gene architecture, C2 and C3, which are distinctively enriched for neuronal, metabolic immune processes, specific cell types cytoarchitectonics, genetic variants associated with intelligence. Using additional datasets (PsychENCODE, Cell BrainSpan), we found that C1–C3 represent generalizable transcriptional programs within cells differentially phased during fetal postnatal development. Autism spectrum disorder schizophrenia were specifically C1/C2 respectively, across neuroimaging, differential genome-wide studies. Evidence converged especially in support C3 as normative program adolescent development, can lead atypical supragranular connectivity people at high risk schizophrenia.

Язык: Английский

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