The power of many brains: Catalyzing neuropsychiatric discovery through open neuroimaging data and large-scale collaboration

Science Bulletin, Journal Year: 2024, Volume and Issue: 69(10), P. 1536 - 1555

Published: March 6, 2024

Recent advances in open neuroimaging data are enhancing our comprehension of neuropsychiatric disorders. By pooling images from various cohorts, statistical power has increased, enabling the detection subtle abnormalities and robust associations, fostering new research methods. Global collaborations imaging have furthered knowledge neurobiological foundations brain disorders aided imaging-based prediction for more targeted treatment. Large-scale magnetic resonance initiatives driving innovation analytics supporting generalizable psychiatric studies. We also emphasize significant role big understanding neural mechanisms early identification precise treatment However, challenges such as harmonization across different sites, privacy protection, effective sharing must be addressed. With proper governance science practices, we conclude with a projection how large-scale resources could revolutionize diagnosis, selection, outcome prediction, contributing to optimal health.

Language: Английский

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Neurocognitive geography: exploring the nexus between geographic environments, the human brain, and behavior

Science Bulletin, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations

Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: July 17, 2024

The study of brain differences across Eastern and Western populations provides vital insights for understanding potential cultural genetic influences on cognition mental health. Diffusion MRI (dMRI) tractography is an important tool in assessing white matter (WM) connectivity tissue microstructure different populations. However, a comprehensive investigation into WM fiber tracts between challenged due to the lack cross-population atlas large site-specific variability dMRI data. This presents atlas, namely East-West Atlas, concurrent mapping creates large, harmonized dataset (n=306) based Human Connectome Project Chinese Project. curated as well subject-specific data including data, whole parcellated their diffusion measures, are publicly released. resource valuable addition facilitating exploration commonalities diverse backgrounds.

Language: Английский

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Altered limbic functional connectivity in individuals with subjective cognitive decline: Converging and diverging findings across Chinese and German cohorts

Alzheimer s & Dementia, Journal Year: 2023, Volume and Issue: 19(11), P. 4922 - 4934

Published: April 18, 2023

It remains unclear whether functional brain networks are consistently altered in individuals with subjective cognitive decline (SCD) of diverse ethnic and cultural backgrounds the network alterations associated an amyloid burden.Cross-sectional resting-state magnetic resonance imaging connectivity (FC) amyloid-positron emission tomography (PET) data from Chinese Sino Longitudinal Study on Cognitive Decline German DZNE Impairment Dementia cohorts were analyzed.Limbic FC, particularly hippocampal right insula, was higher SCD than controls, correlated SCD-plus features. Smaller subcohorts PET showed inconsistent positivity rates FC-amyloid associations across cohorts.Our results suggest early adaptation limbic SCD, which may reflect increased awareness decline, irrespective pathology. Different indicate a heterogeneous underlying etiology Eastern Western when applying current research criteria. Future studies should identify culture-specific features to enrich preclinical Alzheimer's disease non-Western populations.Common hyperconnectivity observed. Limbic cognition, load. Further cross-cultural harmonization regarding pathology is required.

Language: Английский

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Connectivity gradients in spontaneous brain activity at multiple frequency bands

Cerebral Cortex, Journal Year: 2023, Volume and Issue: 33(17), P. 9718 - 9728

Published: June 28, 2023

Abstract The intrinsic organizational structure of the brain is reflected in spontaneous oscillations. Its functional integration and segregation hierarchy have been discovered space by leveraging gradient approaches to low-frequency connectivity. This oscillations has not yet fully understood, since previous studies mainly concentrated on from a single limited frequency range (~ 0.01–0.1 Hz). In this work, we extended performed analysis across multiple bands fast resting-state fMRI signals Human Connectome Project condensed frequency-rank cortical map highest gradient. We found that coarse skeletons organization are generalizable bands. Beyond that, levels connectivity vary domain different large-scale networks. These findings replicated another independent dataset demonstrated networks can integrate information at varying rates, indicating significance examining architecture activity perspective

Language: Английский

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Insights into the genetic architecture of cerebellar lobules derived from the UK Biobank

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 25, 2024

In this work we endeavor to further understand the genetic architecture of cerebellum by examining underpinnings different cerebellar lob(ul)es, identifying their relation cortical and subcortical regions, as well psychiatric disorders, traces evolutionary trajectories. We confirm moderate heritability volumes, reveal clustering variability across substructures, which warranted a detailed analysis using higher structural resolution. replicated known correlations with several report new cortico-cerebellar correlations, including negative between anterior lobules cingulate, positive ones lateral Crus I lobule VI measures in fusiform region. Heritability partitioning for annotations highlighted that vermis II has depleted genomic regions "archaic introgression deserts", but no enrichment/depletion any other regions. Taken together, these findings novel insights into lobules.

Language: Английский

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Unveiling Promising Neuroimaging Biomarkers for Schizophrenia Through Clinical and Genetic Perspectives

Neuroscience Bulletin, Journal Year: 2024, Volume and Issue: 40(9), P. 1333 - 1352

Published: May 4, 2024

Language: Английский

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The Chinese Open Science Network (COSN): Building an Open Science Community From Scratch

Advances in Methods and Practices in Psychological Science, Journal Year: 2023, Volume and Issue: 6(1)

Published: Jan. 1, 2023

Open Science is becoming a mainstream scientific ideology in psychology and related fields. However, researchers, especially early-career researchers (ECRs) developing countries, are facing significant hurdles engaging moving it forward. In China, various societal cultural factors discourage ECRs from participating Science, such as the lack of dedicated communication channels norm modesty. To make voice heard by Chinese-speaking scholars at large, Chinese Network (COSN) was initiated 2016. With its core values being grassroots-oriented, diversity, inclusivity, COSN has grown small interest group to recognized network both research community international community. So far, organized three in-person workshops, 12 tutorials, 48 talks, 55 journal club sessions translated 15 Science-related articles blogs English Chinese. Currently, main social media account (i.e., WeChat Official Account) more than 23,000 subscribers, 1,000 researchers/students actively participate discussions on Science. this article, we share our experience building encourage countries start their own initiatives engage global movement. We foresee great collaborative efforts together with all other local networks further accelerate

Language: Английский

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The Shape of the Brain's Connections Is Predictive of Cognitive Performance: An Explainable Machine Learning Study

Human Brain Mapping, Journal Year: 2025, Volume and Issue: 46(5)

Published: March 27, 2025

The shape of the brain's white matter connections is relatively unexplored in diffusion MRI tractography analysis. While it known that tract varies populations and across human lifespan, unknown if variability dMRI tractography-derived may relate to functional individuals. This work explores potential leveraging fiber cluster measures predict subject-specific cognitive performance. We implement machine learning models individual performance scores. study a large-scale database from HCP-YA study. apply an atlas-based parcellation each individual. compute 15 shape, microstructure, connectivity features for cluster. Using these as input, we train total 210 7 different NIH Toolbox assessments. explainable AI technique, SHAP, assess importance prediction. Our results demonstrate are predictive studied measures, such irregularity, diameter, surface area, volume, branch effective prediction microstructure measures. overall best-performing feature feature, which describes how cluster's idealized cylinder. Further interpretation using SHAP values suggest clusters with highly ability widespread throughout brain, including superficial association, deep cerebellar, striatal, projection pathways. demonstrates strong descriptors enhance its relationship function.

Language: Английский

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Multifractal dynamic changes of spontaneous brain activity in psychiatric disorders: Adult attention deficit-hyperactivity disorder, bipolar disorder, and schizophrenia

Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: 373, P. 291 - 305

Published: Jan. 5, 2025

Language: Английский

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