Nature Neuroscience, Год журнала: 2024, Номер 27(8), С. 1609 - 1619
Опубликована: Июнь 10, 2024
Язык: Английский
Nature, Год журнала: 2023, Номер 618(7965), С. 566 - 574
Опубликована: Май 31, 2023
The anatomy of the brain necessarily constrains its function, but precisely how remains unclear. classical and dominant paradigm in neuroscience is that neuronal dynamics are driven by interactions between discrete, functionally specialized cell populations connected a complex array axonal fibres
Язык: Английский
Процитировано
233
NeuroImage, Год журнала: 2021, Номер 244, С. 118543 - 118543
Опубликована: Сен. 8, 2021
The Human Connectome Project (HCP) was launched in 2010 as an ambitious effort to accelerate advances human neuroimaging, particularly for measures of brain connectivity; apply these study a large number healthy young adults; and freely share the data tools with scientific community. NIH awarded grants two consortia; this retrospective focuses on "WU-Minn-Ox" HCP consortium centered at Washington University, University Minnesota, Oxford. In just over 6 years, WU-Minn-Ox succeeded its core objectives by: 1) improving MR scanner hardware, pulse sequence design, image reconstruction methods, 2) acquiring analyzing multimodal MRI MEG unprecedented quality together behavioral from more than 1100 participants, 3) sharing (via ConnectomeDB database) associated analysis visualization tools. To date, 27 Petabytes have been shared, 1538 papers acknowledging use published. "HCP-style" neuroimaging paradigm has emerged set best-practice strategies optimizing acquisition analysis. This article reviews history HCP, including comments key events decisions major project components. We discuss several using data, improved cortical parcellations, analyses connectivity based functional diffusion MRI, brain-behavior relationships. also touch upon our efforts develop variety processing along detailed documentation, tutorials, educational course train next generation neuroimagers. conclude look forward opportunities challenges facing field perspective consortium.
Язык: Английский
Процитировано
203
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
Процитировано
146
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
Процитировано
140
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
Процитировано
130
Nature Neuroscience, Год журнала: 2023, Номер 26(9), С. 1613 - 1629
Опубликована: Авг. 14, 2023
The substantial individual heterogeneity that characterizes people with mental illness is often ignored by classical case-control research, which relies on group mean comparisons. Here we present a comprehensive, multiscale characterization of the gray matter volume (GMV) differences in 1,294 cases diagnosed one six conditions (attention-deficit/hyperactivity disorder, autism spectrum bipolar depression, obsessive-compulsive disorder and schizophrenia) 1,465 matched controls. Normative models indicated person-specific deviations from population expectations for regional GMV were highly heterogeneous, affecting same area <7% diagnosis. However, these embedded within common functional circuits networks up to 56% cases. salience-ventral attention system was implicated transdiagnostically, other systems selectively involved schizophrenia attention-deficit/hyperactivity disorder. Phenotypic between assigned diagnosis may thus arise heterogeneous localization specific deviations, whereas phenotypic similarities be attributable dysfunction networks.
Язык: Английский
Процитировано
123
Nature Neuroscience, Год журнала: 2023, Номер 26(4), С. 650 - 663
Опубликована: Март 9, 2023
Язык: Английский
Процитировано
87
Nature reviews. Neuroscience, Год журнала: 2023, Номер 24(10), С. 620 - 639
Опубликована: Авг. 24, 2023
Язык: Английский
Процитировано
87
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
Процитировано
85
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
Процитировано
84