Imaging Transcriptomics of Brain Disorders DOI Creative Commons
Aurina Arnatkevičiūtė, Ben Fulcher, Mark A. Bellgrove

et al.

Biological Psychiatry Global Open Science, Journal Year: 2021, Volume and Issue: 2(4), P. 319 - 331

Published: Oct. 22, 2021

Noninvasive neuroimaging is a powerful tool for quantifying diverse aspects of brain structure and function in vivo, it has been used extensively to map the neural changes associated with various disorders. However, most techniques offer only indirect measures underlying pathological mechanisms. The recent development anatomically comprehensive gene expression atlases opened new opportunities studying transcriptional correlates noninvasively measured phenotypes, offering rich framework evaluating pathophysiological hypotheses putative Here, we provide an overview some fundamental methods imaging transcriptomics outline their application understanding disorders neurodevelopment, adulthood, neurodegeneration. Converging evidence indicates that spatial variations are linked normative during age-related maturation neurodegeneration part cell-specific markers expression. Transcriptional disorder-related phenotypes also transcriptionally dysregulated genes identified ex vivo analyses patient brains. Modeling studies demonstrate patterns involved regional vulnerability spread disease across brain. This growing body work supports utility testing about molecular mechanism driving disease-related macroscopic phenotypes.

Language: Английский

Topographic gradients of intrinsic dynamics across neocortex DOI Creative Commons
Golia Shafiei, Ross D. Markello, Reinder Vos de Wael

et al.

eLife, Journal Year: 2020, Volume and Issue: 9

Published: Dec. 17, 2020

The intrinsic dynamics of neuronal populations are shaped by both microscale attributes and macroscale connectome architecture. Here we comprehensively characterize the rich temporal patterns neural activity throughout human brain. Applying massive feature extraction to regional haemodynamic activity, systematically estimate over 6000 statistical properties individual brain regions' time-series across neocortex. We identify two robust spatial gradients dynamics, one spanning a ventromedial-dorsolateral axis dominated measures signal autocorrelation, other unimodal-transmodal dynamic range. These reflect gene expression, intracortical myelin cortical thickness, as well structural functional network embedding. Importantly, these correlated with meta-analytic activation, differentiating cognitive versus affective processing sensory higher-order processing. Altogether, findings demonstrate link between architecture, cognition.

Language: Английский

Citations

137

Spatial Patterning of Tissue Volume Loss in Schizophrenia Reflects Brain Network Architecture DOI Creative Commons
Golia Shafiei, Ross D. Markello, Carolina Makowski

et al.

Biological Psychiatry, Journal Year: 2019, Volume and Issue: 87(8), P. 727 - 735

Published: Oct. 24, 2019

There is growing recognition that connectome architecture shapes cortical and subcortical gray matter atrophy across a spectrum of neurological psychiatric diseases. Whether connectivity contributes to tissue volume loss in schizophrenia the same manner remains unknown.Here, we relate patients with patterns structural functional connectivity. Gray deformation was estimated sample 133 individuals chronic (48 women, mean age 34.7 ± 12.9 years) 113 control subjects (64 23.5 8.4 years). Deformation-based morphometry used estimate from T1-weighted magnetic resonance images. Structural were derived an independent 70 healthy participants using diffusion imaging resting-state imaging.We found regional correlated structurally functionally connected neighbors. Distributed are circumscribed by specific systems (the ventral attention network) cytoarchitectonic classes (limbic class), epicenter anterior cingulate cortex.Altogether, present study demonstrates brain conditioned connectivity, accounting for 25% 35% variance deformation.

Language: Английский

Citations

132

Multiphysics of Prionlike Diseases: Progression and Atrophy DOI Creative Commons
Johannes Weickenmeier, Ellen Kuhl, Alain Goriely

et al.

Physical Review Letters, Journal Year: 2018, Volume and Issue: 121(15)

Published: Oct. 12, 2018

Many neurodegenerative diseases are related to the propagation and accumulation of toxic proteins throughout brain. The lesions created by aggregates these further lead cell death accelerated tissue atrophy. A striking feature some is their characteristic pattern evolution, leading well-codified disease stages visible neuropathology associated with various cognitive deficits pathologies. Here, we simulate anisotropic in full brain geometry. We show that same model different initial seeding zones reproduces evolution prionlike diseases. also recover expected total protein load. Finally, couple our transport a mechanical atrophy obtain typical degeneration patterns found

Language: Английский

Citations

112

Network structure and transcriptomic vulnerability shape atrophy in frontotemporal dementia DOI Creative Commons
Golia Shafiei, Vincent Bazinet, Mahsa Dadar

et al.

Brain, Journal Year: 2022, Volume and Issue: 146(1), P. 321 - 336

Published: Feb. 17, 2022

Connections among brain regions allow pathological perturbations to spread from a single source region multiple regions. Patterns of neurodegeneration in diseases, including behavioural variant frontotemporal dementia (bvFTD), resemble the large-scale functional systems, but how bvFTD-related atrophy patterns relate structural network organization remains unknown. Here we investigate whether sporadic and genetic bvFTD are conditioned by connectome architecture. Regional were estimated both (75 patients, 247 controls) (70 123 controls). First, identified distributed bvFTD, mainly targeting areas associated with limbic intrinsic insular cytoarchitectonic class. was significantly correlated structurally- functionally-connected neighbours, demonstrating that structure shapes patterns. The anterior insula as predominant group epicentre using data-driven simulation-based methods, some secondary frontal ventromedial antero-medial temporal areas. We found FTD-related genes, namely C9orf72 TARDBP, confer local transcriptomic vulnerability disease, modulating propagation pathology through connectome. Collectively, our results demonstrate jointly shaped global architecture vulnerability, providing an explanation heterogenous entities can lead same clinical syndrome.

Language: Английский

Citations

53

Toward Best Practices for Imaging Transcriptomics of the Human Brain DOI Creative Commons
Aurina Arnatkevičiūtė, Ross D. Markello, Ben Fulcher

et al.

Biological Psychiatry, Journal Year: 2022, Volume and Issue: 93(5), P. 391 - 404

Published: Nov. 5, 2022

Language: Английский

Citations

49

Closing the mechanistic gap: the value of microarchitecture in understanding cognitive networks DOI
Casey Paquola, Katrin Amunts, Alan C. Evans

et al.

Trends in Cognitive Sciences, Journal Year: 2022, Volume and Issue: 26(10), P. 873 - 886

Published: July 30, 2022

Language: Английский

Citations

41

Towards a biologically annotated brain connectome DOI
Vincent Bazinet, Justine Y. Hansen, Bratislav Mišić

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(12), P. 747 - 760

Published: Oct. 17, 2023

Language: Английский

Citations

38

Communication dynamics in the human connectome shape the cortex-wide propagation of direct electrical stimulation DOI Creative Commons
Caio Seguin, Maciej Jedynak, Olivier David

et al.

Neuron, Journal Year: 2023, Volume and Issue: 111(9), P. 1391 - 1401.e5

Published: March 7, 2023

Language: Английский

Citations

37

Integrating multimodal and multiscale connectivity blueprints of the human cerebral cortex in health and disease DOI Creative Commons
Justine Y. Hansen, Golia Shafiei, Katharina Voigt

et al.

PLoS Biology, Journal Year: 2023, Volume and Issue: 21(9), P. e3002314 - e3002314

Published: Sept. 25, 2023

The brain is composed of disparate neural populations that communicate and interact with one another. Although fiber bundles, similarities in molecular architecture, synchronized activity all reflect how regions potentially another, a comprehensive study these interregional relationships jointly structure function remains missing. Here, we systematically integrate 7 multimodal, multiscale types similarity ("connectivity modes") derived from gene expression, neurotransmitter receptor density, cellular morphology, glucose metabolism, haemodynamic activity, electrophysiology humans. We first show for connectivity modes, feature decreases distance increases when are structurally connected. Next, modes exhibit unique diverse connection patterns, hub profiles, spatial gradients, modular organization. Throughout, observe consistent primacy modes-namely correlated expression similarity-that map onto multiple phenomena, including the rich club patterns abnormal cortical thickness across 13 neurological, psychiatric, neurodevelopmental disorders. Finally, to construct single multimodal wiring human cortex, fuse fused network maps major organizational features cortex structural connectivity, intrinsic functional networks, cytoarchitectonic classes. Altogether, this work contributes integrative cerebral cortex.

Language: Английский

Citations

27

Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence DOI Creative Commons
Xinyuan Liang,

Lianglong Sun,

Xuhong Liao

et al.

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

Published: Jan. 26, 2024

Abstract Cortical thinning is an important hallmark of the maturation brain morphology during childhood and adolescence. However, connectome-based wiring mechanism that underlies cortical remains unclear. Here, we show patterns primarily located in lateral frontal parietal heteromodal nodes adolescence, which are structurally constrained by white matter network architecture particularly represented using a network-based diffusion model. Furthermore, constraints regionally heterogeneous, with largest residing frontoparietal nodes, associated gene expression signatures microstructural neurodevelopmental events. These results highly reproducible another independent dataset. findings advance our understanding network-level mechanisms genetic basis maturational process

Language: Английский

Citations

15