How brain structure–function decoupling supports individual cognition and its molecular mechanism DOI Creative Commons
Xiaoxi Dong,

Qiongling Li,

Xuetong Wang

et al.

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(2)

Published: Jan. 30, 2024

Abstract Functional signals emerge from the structural network, supporting multiple cognitive processes through underlying molecular mechanism. The link between human brain structure and function is region‐specific hierarchical across neocortex. However, relationship structure–function decoupling manifestation of individual behavior cognition, along with significance functional systems involved, specific mechanism remain incompletely characterized. Here, we used structural‐decoupling index (SDI) to quantify dependency on connectome using a significantly larger cohort healthy subjects. Canonical correlation analysis (CCA) was utilized assess general multivariate pattern SDIs whole traits. Then, predicted five composite scores resulting in primary networks, association all respectively. Finally, explored related SDI by investigating its genetic factors neurotransmitter receptors/transporters. We demonstrated that neocortex, spanning networks networks. revealed better performance cognition prediction achieved high‐level SDIs, varying different regions predicting processes. found were associated gene expression level several receptor‐related terms, also spatial distributions four receptors/transporters correlated namely D2, NET, MOR, mGluR5, which play an important role flexibility neuronal function. Collectively, our findings corroborate macroscale provide implications for comprehending decoupling. Practitioner Points Structure–function High‐level contributes much more than low‐level cognition. could be regulated genes pivotal receptors are crucial flexibility.

Language: Английский

Mapping neurotransmitter systems to the structural and functional organization of the human neocortex DOI Creative Commons
Justine Y. Hansen, Golia Shafiei, Ross D. Markello

et al.

Nature Neuroscience, Journal Year: 2022, Volume and Issue: 25(11), P. 1569 - 1581

Published: Oct. 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.

Language: Английский

Citations

412
Probabilistic atlas for the language network based on precision fMRI data from >800 individuals DOI Creative Commons
Benjamin Lipkin, Greta Tuckute, Josef Affourtit

et al.

Scientific Data, Journal Year: 2022, Volume and Issue: 9(1)

Published: Aug. 29, 2022

Abstract Two analytic traditions characterize fMRI language research. One relies on averaging activations across individuals. This approach has limitations: because of inter-individual variability in the locations areas, any given voxel/vertex a common brain space is part network some individuals but others, may belong to distinct network. An alternative identifying areas each individual using functional ‘localizer’. Because its greater sensitivity, resolution, and interpretability, localization gaining popularity, it not always feasible, cannot be applied retroactively past studies. To bridge these disjoint approaches, we created probabilistic atlas data for an extensively validated localizer 806 enables estimating probability that location belongs network, thus can help interpret group-level activation peaks lesion locations, or select voxels/electrodes analysis. More meaningful comparisons findings studies should increase robustness replicability

Language: Английский

Citations

92
BrainStat: A toolbox for brain-wide statistics and multimodal feature associations DOI Creative Commons
Sara Larivière, Şeyma Bayrak, Reinder Vos de Wael

et al.

NeuroImage, Journal Year: 2022, Volume and Issue: 266, P. 119807 - 119807

Published: Dec. 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.

Language: Английский

Citations

84
Local molecular and global connectomic contributions to cross-disorder cortical abnormalities DOI Creative Commons
Justine Y. Hansen, Golia Shafiei, Jacob W. Vogel

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Aug. 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.

Language: Английский

Citations

70
Frontostriatal salience network expansion in individuals in depression DOI Creative Commons
Charles J. Lynch, Immanuel Elbau, Tommy Ng

et al.

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

Published: Sept. 4, 2024

Language: Английский

Citations

49
Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics DOI Creative Commons
Andrea I. Luppi, Helena M. Gellersen, Zhen-Qi Liu

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: June 4, 2024

Abstract Functional interactions between brain regions can be viewed as a network, enabling neuroscientists to investigate function through network science. Here, we systematically evaluate 768 data-processing pipelines for reconstruction from resting-state functional MRI, evaluating the effect of parcellation, connectivity definition, and global signal regression. Our criteria seek that minimise motion confounds spurious test-retest discrepancies topology, while being sensitive both inter-subject differences experimental effects interest. We reveal vast systematic variability across pipelines’ suitability connectomics. Inappropriate choice pipeline produce results are not only misleading, but so, with majority failing at least one criterion. However, set optimal consistently satisfy all different datasets, spanning minutes, weeks, months. provide full breakdown each pipeline’s performance inform future best practices in

Language: Английский

Citations

22
Cortical gene expression architecture links healthy neurodevelopment to the imaging, transcriptomics and genetics of autism and schizophrenia DOI Creative Commons
Richard Dear, Konrad Wagstyl, Jakob Seidlitz

et al.

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(6), P. 1075 - 1086

Published: April 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.

Language: Английский

Citations

20
Brain aging shows nonlinear transitions, suggesting a midlife “critical window” for metabolic intervention DOI Creative Commons
Botond Antal, Helena van Nieuwenhuizen, Anthony G. Chesebro

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(10)

Published: March 3, 2025

Understanding the key drivers of brain aging is essential for effective prevention and treatment neurodegenerative diseases. Here, we integrate human physiological data to investigate underlying mechanisms. Functional MRI analyses across four large datasets (totaling 19,300 participants) show that networks not only destabilize throughout lifetime but do so along a nonlinear trajectory, with consistent temporal "landmarks" starting in midlife (40s). Comparison metabolic, vascular, inflammatory biomarkers implicate dysregulated glucose homeostasis as driver mechanism these transitions. Correlation between brain's regionally heterogeneous patterns gene expression further supports findings, selectively implicating GLUT4 (insulin-dependent transporter) APOE (lipid transport protein). Notably, MCT2 (a neuronal, glial, ketone emerges potential counteracting factor by facilitating neurons' energy uptake independently insulin. Consistent results, an interventional study 101 participants shows ketones exhibit robust effects restabilizing networks, maximized from ages 40 60, suggesting "critical window" early metabolic intervention.

Language: Английский

Citations

2
A network correspondence toolbox for quantitative evaluation of novel neuroimaging results DOI Creative Commons
Ru Kong, R. Nathan Spreng, Aihuiping Xue

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: March 25, 2025

Abstract The brain can be decomposed into large-scale functional networks, but the specific spatial topographies of these networks and names used to describe them vary across studies. Such discordance has hampered interpretation convergence research findings field. We have developed Network Correspondence Toolbox (NCT) permit researchers examine report correspondence between their novel neuroimaging results multiple widely atlases. provide several exemplar demonstrations illustrate how use NCT own findings. provides a convenient means for computing Dice coefficients with spin test permutations determine magnitude statistical significance among user-defined maps existing atlas labels. adoption will make it easier network neuroscience in standardized manner, thus aiding reproducibility facilitating comparisons studies produce interdisciplinary insights.

Language: Английский

Citations

2
The subcortical and neurochemical organization of the ventral and dorsal attention networks DOI Creative Commons
Pedro Alves, Stephanie J. Forkel, Maurizio Corbetta

et al.

Communications Biology, Journal Year: 2022, Volume and Issue: 5(1)

Published: Dec. 7, 2022

Attention is a core cognitive function that filters and selects behaviourally relevant information in the environment. The cortical mapping of attentional systems identified two segregated networks mediate stimulus-driven goal-driven processes, Ventral Dorsal Networks (VAN, DAN). Deep brain electrophysiological recordings, behavioral data from phylogenetic distant species, observations human pathologies challenge purely corticocentric models. Here, we used advanced methods functional alignment applied to resting-state connectivity analyses map subcortical architecture Networks. Our investigations revealed involvement pulvinar, superior colliculi, head caudate nuclei, cluster brainstem nuclei both networks. These are densely connected structural network hubs, as by diffusion-weighted imaging tractography. Their projections establish interrelations with acetylcholine nicotinic receptor well dopamine serotonin transporters, demonstrated spatial correlation analysis normative atlas neurotransmitter systems. This convergence functional, structural, neurochemical evidence provides comprehensive framework understand neural basis attention across different species diseases.

Language: Английский

Citations

60