Evidence for embracing normative modeling

eLife, Journal Year: 2023, Volume and Issue: 12

Published: March 13, 2023

In this work, we expand the normative model repository introduced in Rutherford et al., 2022a to include models charting lifespan trajectories of structural surface area and brain functional connectivity, measured using two unique resting-state network atlases (Yeo-17 Smith-10), an updated online platform for transferring these new data sources. We showcase value with a head-to-head comparison between features output by modeling raw several benchmarking tasks: mass univariate group difference testing (schizophrenia versus control), classification regression (predicting general cognitive ability). Across all benchmarks, show advantage features, strongest statistically significant results demonstrated tasks. intend accessible resources facilitate wider adoption across neuroimaging community.

Language: Английский

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Micapipe: A pipeline for multimodal neuroimaging and connectome analysis

NeuroImage, Journal Year: 2022, Volume and Issue: 263, P. 119612 - 119612

Published: Sept. 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.

Language: Английский

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An Open MRI Dataset For Multiscale Neuroscience

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

Published: Sept. 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/ ).

Language: Английский

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Distributed harmonic patterns of structure-function dependence orchestrate human consciousness

Communications Biology, Journal Year: 2023, Volume and Issue: 6(1)

Published: Jan. 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.

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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