A Riemannian approach to predicting brain function from the structural connectome DOI Creative Commons
Oualid Benkarim, Casey Paquola, Bo‐yong Park

et al.

NeuroImage, Journal Year: 2022, Volume and Issue: 257, P. 119299 - 119299

Published: May 27, 2022

Ongoing brain function is largely determined by the underlying wiring of brain, but specific rules governing this relationship remain unknown. Emerging literature has suggested that functional interactions between regions emerge from structural connections through mono- as well polysynaptic mechanisms. Here, we propose a novel approach based on diffusion maps and Riemannian optimization to emulate dynamic mechanism in form random walks connectome predict weighted combination these walks. Our proposed was evaluated two different cohorts healthy adults (Human Connectome Project, HCP; Microstructure-Informed Connectomics, MICs). outperformed existing approaches showed performance plateaus approximately around third walk. At macroscale, found largest number required nodes default mode frontoparietal networks, underscoring an increasing relevance communication mechanisms transmodal cortical networks compared primary unimodal systems.

Language: Английский

The default mode network in cognition: a topographical perspective DOI
Jonathan Smallwood, Boris C. Bernhardt, Robert Leech

et al.

Nature reviews. Neuroscience, Journal Year: 2021, Volume and Issue: 22(8), P. 503 - 513

Published: July 5, 2021

Language: Английский

Citations

722
Brain network communication: concepts, models and applications DOI
Caio Seguin, Olaf Sporns, Andrew Zalesky

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(9), P. 557 - 574

Published: July 12, 2023

Language: Английский

Citations

130
Gradients in brain organization DOI Creative Commons
Boris C. Bernhardt, Jonathan Smallwood, Shella Keilholz

et al.

NeuroImage, Journal Year: 2022, Volume and Issue: 251, P. 118987 - 118987

Published: Feb. 10, 2022

Language: Английский

Citations

90
Serotonergic psychedelic drugs LSD and psilocybin reduce the hierarchical differentiation of unimodal and transmodal cortex DOI Creative Commons
Manesh Girn, Leor Roseman, Boris C. Bernhardt

et al.

NeuroImage, Journal Year: 2022, Volume and Issue: 256, P. 119220 - 119220

Published: April 26, 2022

Lysergic acid diethylamide (LSD) and psilocybin are serotonergic psychedelic compounds with potential in the treatment of mental health disorders. Past neuroimaging investigations have revealed that both can elicit significant changes to whole-brain functional organization dynamics. A recent proposal linked past findings into a unified model hypothesized reduced hierarchical as key mechanism underlying state, but this has yet be directly tested. We applied non-linear dimensionality reduction technique previously used map connectivity gradients assess cortical LSD state from two published pharmacological resting-state fMRI datasets (N = 15 9, respectively). Results supported our primary hypothesis: The principal gradient connectivity, describing hierarchy unimodal transmodal cortex, was significantly flattened under drugs relative their respective placebo conditions. Between-condition contrasts driven by differentiation at extremes - default frontoparietal networks upper end, somatomotor lower. Gradient-based mapping indicated underpinned disruption modular increased unimodal-transmodal crosstalk. involving second third gradient, which, respectively represent axes sensory executive differentiation, also showed alterations across drugs. These provide support for mechanistic relevant therapeutic applications psychedelics. More fundamentally, we first evidence macroscale sensitive an acute manipulation, supporting role psychedelics scientific tools perturb organization.

Language: Английский

Citations

75
An Open MRI Dataset For Multiscale Neuroscience DOI Creative Commons
Jessica Royer, Raúl Rodríguez‐Cruces, Shahin Tavakol

et al.

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

Citations

71
Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism DOI Creative Commons
Bo‐yong Park, Seok‐Jun Hong, Sofie L. Valk

et al.

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: April 13, 2021

Abstract The pathophysiology of autism has been suggested to involve a combination both macroscale connectome miswiring and microcircuit anomalies. Here, we combine connectome-wide manifold learning with biophysical simulation models understand associations between global network perturbations dysfunctions in autism. We studied neuroimaging phenotypic data 47 individuals 37 typically developing controls obtained from the Autism Brain Imaging Data Exchange initiative. Our analysis establishes significant differences structural organization relative controls, strong between-group effects low-level somatosensory regions moderate high-level association cortices. Computational reveal that degree anomalies is related atypical increases recurrent excitation/inhibition, as well subcortical inputs into cortical microcircuits, especially sensory motor areas. Transcriptomic based on postmortem datasets identifies genes expressed thalamic areas childhood young adulthood. Finally, supervised machine finds are associated symptom severity scores Diagnostic Observation Schedule. Together, our analyses suggest subcortico-cortical interactions

Language: Английский

Citations

91
An expanding manifold in transmodal regions characterizes adolescent reconfiguration of structural connectome organization DOI Creative Commons
Bo‐yong Park, Richard A.I. Bethlehem, Casey Paquola

et al.

eLife, Journal Year: 2021, Volume and Issue: 10

Published: March 31, 2021

Adolescence is a critical time for the continued maturation of brain networks. Here, we assessed structural connectome development in large longitudinal sample ranging from childhood to young adulthood. By projecting high-dimensional connectomes into compact manifold spaces, identified marked expansion connectomes, with strongest effects transmodal regions during adolescence. Findings reflected increased within-module connectivity together segregation, indicating increasing differentiation higher-order association networks rest brain. Projection subcortico-cortical patterns these manifolds showed parallel alterations pathways centered on caudate and thalamus. Connectome findings were contextualized via spatial transcriptome analysis, highlighting genes enriched cortex, thalamus, striatum. Statistical learning cortical subcortical features at baseline their maturational change predicted measures intelligence follow-up. Our demonstrate that can bridge conceptual empirical gaps between macroscale network reconfigurations, microscale processes, cognitive outcomes adolescent development.

Language: Английский

Citations

75
Time-resolved structure-function coupling in brain networks DOI Creative Commons
Zhen-Qi Liu, Bertha Vázquez-Rodríguez, R. Nathan Spreng

et al.

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

Published: June 2, 2022

The relationship between structural and functional connectivity in the brain is a key question systems neuroscience. Modern accounts assume single global structure-function that persists over time. Here we study coupling from dynamic perspective, show it regionally heterogeneous. We use temporal unwrapping procedure to identify moment-to-moment co-fluctuations neural activity, reconstruct time-resolved patterns. find patterns of are region-specific. observe stable unimodal transmodal cortex, intermediate regions, particularly insular cortex (salience network) frontal eye fields (dorsal attention network). Finally, variability region's related distribution its connection lengths. Collectively, our findings provide way relationships perspective.

Language: Английский

Citations

65
Network communication models narrow the gap between the modular organization of structural and functional brain networks DOI Creative Commons
Caio Seguin, Sina Mansour L., Olaf Sporns

et al.

NeuroImage, Journal Year: 2022, Volume and Issue: 257, P. 119323 - 119323

Published: May 20, 2022

Structural and functional brain networks are modular. Canonical systems, such as the default mode network, well-known modules of human have been implicated in a large number cognitive, behavioral clinical processes. However, delineated structural inferred from tractography generally do not recapitulate canonical systems. Neuroimaging evidence suggests that connectivity between regions same systems is always underpinned by anatomical connections. As such, direct alone would be insufficient to characterize modular organization brain. Here, we demonstrate augmenting with models indirect (polysynaptic) communication unveils network architecture more closely resembles brain's established We find diffusion polysynaptic connectivity, particularly communicability, narrow gap 20-60%, whereas routing based on single efficient paths improve mesoscopic structure-function correspondence. This emerge constraints imposed local structure facilitates diffusive neural communication. Our work establishes importance modeling understand basis

Language: Английский

Citations

50
Adolescent development of multiscale structural wiring and functional interactions in the human connectome DOI Creative Commons
Bo‐yong Park, Casey Paquola, Richard A.I. Bethlehem

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2022, Volume and Issue: 119(27)

Published: July 1, 2022

Adolescence is a time of profound changes in the physical wiring and function brain. Here, we analyzed structural functional brain network development an accelerated longitudinal cohort spanning 14 to 25 y ( n = 199). Core our work was advanced vivo model cortical incorporating MRI features corticocortical proximity, microstructural similarity, white matter tractography. Longitudinal analyses assessing age-related identified continued differentiation multiple networks youth. We then assessed structure–function coupling using resting-state measures same participants both via cross-sectional analysis at baseline by studying change between follow-up scans. At baseline, regions with more similar were likely be functionally coupled. Moreover, correlating connectivity reconfigurations, found that increased differentiation, particularly sensory/unimodal default mode networks, reflected reduced interactions. These findings provide insights into adolescent human structure function, illustrating how interacts maturation macroscale hierarchies.

Language: Английский

Citations

41