Molecular and network-level mechanisms explaining individual differences in autism spectrum disorder

Nature Neuroscience, Journal Year: 2023, Volume and Issue: 26(4), P. 650 - 663

Published: March 9, 2023

Language: Английский

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Controversies and progress on standardization of large-scale brain network nomenclature

Network Neuroscience, Journal Year: 2023, Volume and Issue: 7(3), P. 864 - 905

Published: Jan. 1, 2023

Progress in scientific disciplines is accompanied by standardization of terminology. Network neuroscience, at the level macroscale organization brain, beginning to confront challenges associated with developing a taxonomy its fundamental explanatory constructs. The Workgroup for HArmonized Taxonomy NETworks (WHATNET) was formed 2020 as an Organization Human Brain Mapping (OHBM)-endorsed best practices committee provide recommendations on points consensus, identify open questions, and highlight areas ongoing debate service moving field toward standardized reporting network neuroscience results. conducted survey catalog current large-scale brain nomenclature. A few well-known names (e.g., default mode network) dominated responses survey, number illuminating disagreement emerged. We summarize results initial considerations from workgroup. This perspective piece includes selective review this enterprise, including (1) scale, resolution, hierarchies; (2) interindividual variability networks; (3) dynamics nonstationarity (4) consideration affiliations subcortical structures; (5) multimodal information. close minimal guidelines cognitive communities adopt.

Language: Английский

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Functional connectomics in depression: insights into therapies

Trends in Cognitive Sciences, Journal Year: 2023, Volume and Issue: 27(9), P. 814 - 832

Published: June 5, 2023

Language: Английский

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Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity

NeuroImage, Journal Year: 2023, Volume and Issue: 273, P. 120010 - 120010

Published: March 12, 2023

Resting-state fMRI is commonly used to derive brain parcellations, which are widely for dimensionality reduction and interpreting human neuroscience studies. We previously developed a model that integrates local global approaches estimating areal-level cortical parcellations. The resulting local-global parcellations often referred as the Schaefer However, lack of homotopic correspondence between left right parcels has limited their use lateralization Here, we extend our previous Using resting-fMRI task-fMRI across diverse scanners, acquisition protocols, preprocessing demographics, show homogeneous while being more than five publicly available Furthermore, weaker correlations associated with greater in resting network organization, well language motor task activation. Finally, agree boundaries number areas estimated from histology visuotopic fMRI, capturing sub-areal (e.g., somatotopic visuotopic) features. Overall, these results suggest represent neurobiologically meaningful subdivisions cerebral cortex will be useful resource future Multi-resolution 1479 participants (https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/brain_parcellation/Yan2023_homotopic).

Language: Английский

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Frontostriatal salience network expansion in individuals in depression

Nature, Journal Year: 2024, Volume and Issue: 633(8030), P. 624 - 633

Published: Sept. 4, 2024

Language: Английский

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Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions

World Psychiatry, Journal Year: 2024, Volume and Issue: 23(1), P. 26 - 51

Published: Jan. 12, 2024

Functional neuroimaging emerged with great promise and has provided fundamental insights into the neurobiology of schizophrenia. However, it faced challenges criticisms, most notably a lack clinical translation. This paper provides comprehensive review critical summary literature on functional neuroimaging, in particular magnetic resonance imaging (fMRI), We begin by reviewing research fMRI biomarkers schizophrenia high risk phase through historical lens, moving from case-control regional brain activation to global connectivity advanced analytical approaches, more recent machine learning algorithms identify predictive features. Findings studies negative symptoms as well neurocognitive social cognitive deficits are then reviewed. neural markers these may represent promising treatment targets Next, we summarize related antipsychotic medication, psychotherapy psychosocial interventions, neurostimulation, including response resistance, therapeutic mechanisms, targeting. also utility data-driven approaches dissect heterogeneity schizophrenia, beyond comparisons, methodological considerations advances, consortia precision fMRI. Lastly, limitations future directions field discussed. Our suggests that, order for be clinically useful care patients should address potentially actionable decisions that routine treatment, such which prescribed or whether given patient is likely have persistent impairment. The potential influenced must weighed against cost accessibility factors. Future evaluations prognostic consider health economics analysis.

Language: Английский

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A precision functional atlas of personalized network topography and probabilities

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(5), P. 1000 - 1013

Published: March 26, 2024

Abstract Although the general location of functional neural networks is similar across individuals, there vast person-to-person topographic variability. To capture this, we implemented precision brain mapping magnetic resonance imaging methods to establish an open-source, method-flexible set network atlases—the Masonic Institute for Developing Brain (MIDB) Precision Atlas. This atlas evolving resource comprising 53,273 individual-specific maps, from more than 9,900 ages and cohorts, including Adolescent Cognitive Development study, Developmental Human Connectome Project others. We also generated probabilistic maps multiple integration zones (using a new overlapping technique, Overlapping MultiNetwork Imaging). Using regions high invariance improved reproducibility executive function statistical in brain-wide associations compared group average-based parcellations. Finally, provide potential use case targeted neuromodulation. The expandable alternative datasets with online interface encouraging scientific community explore contribute understanding human precisely.

Language: Английский

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Principles of cortical areas and their implications for neuroimaging

Neuron, Journal Year: 2024, Volume and Issue: 112(17), P. 2837 - 2853

Published: June 3, 2024

Cortical organization should constrain the study of how brain performs behavior and cognition. A fundamental concept in cortical is that arealization: cortex parceled into discrete areas. In part one this report, we review non-human animal studies have illuminated principles arealization by revealing: (1) what defines a area, (2) areas are formed, (3) interact with another, (4) "computations" or "functions" perform. two, discuss these apply to neuroimaging research. doing so, highlight several examples where commonly accepted interpretation observations requires assumptions violate arealization, including nonstationary move on short time scales, large-scale gradients as organizing features, singular functionality perfectly map psychological constructs. Our belief neurobiology strongly guide nature computational explanations.

Language: Английский

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Two common and distinct forms of variation in human functional brain networks

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(6), P. 1187 - 1198

Published: April 30, 2024

Language: Английский

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Situating the salience and parietal memory networks in the context of multiple parallel distributed networks using precision functional mapping

Cell Reports, Journal Year: 2025, Volume and Issue: 44(1), P. 115207 - 115207

Published: Jan. 1, 2025

Language: Английский

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