Genuine high-order interactions in brain networks and neurodegeneration DOI Creative Commons
Rubén Herzog, Fernando Rosas, Robert Whelan

et al.

Neurobiology of Disease, Journal Year: 2022, Volume and Issue: 175, P. 105918 - 105918

Published: Nov. 12, 2022

Language: Английский

Functional connectomics in depression: insights into therapies DOI Creative Commons
Ya Chai, Yvette I. Sheline, Desmond J. Oathes

et al.

Trends in Cognitive Sciences, Journal Year: 2023, Volume and Issue: 27(9), P. 814 - 832

Published: June 5, 2023

Language: Английский

Citations

52

A shared neural basis underlying psychiatric comorbidity DOI Creative Commons
Chao Xie, Shitong Xiang, Chun Shen

et al.

Nature Medicine, Journal Year: 2023, Volume and Issue: 29(5), P. 1232 - 1242

Published: April 24, 2023

Abstract Recent studies proposed a general psychopathology factor underlying common comorbidities among psychiatric disorders. However, its neurobiological mechanisms and generalizability remain elusive. In this study, we used large longitudinal neuroimaging cohort from adolescence to young adulthood (IMAGEN) define neuropsychopathological (NP) across externalizing internalizing symptoms using multitask connectomes. We demonstrate that NP might represent unified, genetically determined, delayed development of the prefrontal cortex further leads poor executive function. also show be reproducible in multiple developmental periods, preadolescence early adulthood, generalizable resting-state connectome clinical samples (the ADHD-200 Sample STRATIFY & ESTRA Project). conclusion, identify neural basis mental health disorders, bridging multidimensional evidence behavioral, genetic substrates. These findings may help develop new therapeutic interventions for comorbidities.

Language: Английский

Citations

50

CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis DOI
Kaizhong Zheng, Shujian Yu, Badong Chen

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 172, P. 106147 - 106147

Published: Jan. 26, 2024

Language: Английский

Citations

23

Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA study DOI Creative Commons
Foivos Georgiadis, Sara Larivière, David C. Glahn

et al.

Molecular Psychiatry, Journal Year: 2024, Volume and Issue: 29(6), P. 1869 - 1881

Published: Feb. 9, 2024

Abstract Schizophrenia is a prototypical network disorder with widespread brain-morphological alterations, yet it remains unclear whether these distributed alterations robustly reflect the underlying layout. We tested large-scale structural in schizophrenia relate to normative and functional connectome architecture, systematically evaluated robustness generalizability of network-level alterations. Leveraging anatomical MRI scans from 2439 adults 2867 healthy controls 26 ENIGMA sites data Human Connectome Project ( n = 207), we against two susceptibility models: (i) hub vulnerability, which examines associations between regional centrality magnitude disease-related alterations; (ii) epicenter mapping, identifies regions whose typical connectivity profile most closely resembles morphological To assess specificity, contextualized influence site, disease stages, individual clinical factors compared that found affective disorders. Our findings show schizophrenia-related cortical thinning spatially associated hubs, suggesting highly interconnected are more vulnerable Predominantly temporo-paralimbic frontal emerged as epicenters profiles linked schizophrenia’s alteration patterns. Findings were robust across sites, related symptoms. Moreover, transdiagnostic comparisons revealed overlapping bipolar, but not major depressive disorder, suggestive pathophysiological continuity within schizophrenia-bipolar-spectrum. In sum, over course follow brain emphasizing marked temporo-frontal at both level group individual. Subtle variations stages suggest interacting pathological processes, while patient-specific symptoms support additional inter-individual variability vulnerability schizophrenia. work outlines potential pathways better understand macroscale inter-

Language: Английский

Citations

18

Network structure of the mouse brain connectome with voxel resolution DOI Creative Commons
Ludovico Coletta, Marco Pagani, Jennifer D. Whitesell

et al.

Science Advances, Journal Year: 2020, Volume and Issue: 6(51)

Published: Dec. 18, 2020

High-resolution mapping of the mouse axonal connectome reveals new foundational wiring principles mammalian brain.

Language: Английский

Citations

101

What have we really learned from functional connectivity in clinical populations? DOI Creative Commons
Jiahe Zhang, Aaron Kucyi,

Jovicarole Raya

et al.

NeuroImage, Journal Year: 2021, Volume and Issue: 242, P. 118466 - 118466

Published: Aug. 10, 2021

Functional connectivity (FC), or the statistical interdependence of blood-oxygen dependent level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool for probing functional abnormalities in clinical populations due to promise approach across conceptual, technical, and practical levels. With an already vast steadily accumulating neuroimaging literature on neurodevelopmental, psychiatric, neurological diseases disorders which FC is primary measure, we aim here provide high-level synthesis major concepts that have arisen from findings manner cuts different conditions sheds light overarching principles. We highlight allowed us discover ubiquity intrinsic networks virtually all brains clarify typical patterns neurodevelopment over lifespan. This understanding maturation with age provided important benchmarks against evaluate divergent early life degeneration late life. turn led insight many are associated complex, distributed, network-level changes brain, opposed solely focal abnormalities. further emphasize role studies played supporting dimensional studying transdiagnostic symptoms enhancing multimodal characterization prediction trajectory symptom progression conditions. unprecedented opportunity offered by probe where function could not be easily studied otherwise, such consciousness. Lastly, suggest high priority areas future research acknowledge critical barriers use methods, particularly those related artifact removal, data denoising feasibility contexts.

Language: Английский

Citations

101

The human olfactory system in two proteinopathies: Alzheimer’s and Parkinson’s diseases DOI Creative Commons
Isabel Úbeda‐Bañón, Daniel Saiz‐Sánchez, Alicia Flores‐Cuadrado

et al.

Translational Neurodegeneration, Journal Year: 2020, Volume and Issue: 9(1)

Published: June 3, 2020

Alzheimer's and Parkinson's diseases are the most prevalent neurodegenerative disorders. Their etiologies idiopathic, treatments symptomatic orientated towards cognitive or motor deficits. Neuropathologically, both proteinopathies with pathological aggregates (plaques of amyloid-β peptide neurofibrillary tangles tau protein in disease, Lewy bodies mostly composed α-synuclein disease). These deposits appear nervous system a predictable accumulative sequence six neuropathological stages. Both disorders present long prodromal period, characterized by preclinical signs including hyposmia. Interestingly, olfactory system, particularly anterior nucleus, is initially preferentially affected pathology. Cerebral atrophy revealed magnetic resonance imaging must be complemented histological analyses to ascertain whether neuronal and/or glial loss neuropil remodeling responsible for volumetric changes. It has been proposed that these could act prion-like manner which misfolded would able force native proteins into pathogenic folding (seeding), then propagates through neurons glia (spreading). Existing data have examined establish why some populations vulnerable while others resistant pathology what extent prevent facilitate proteinopathy spreading. Connectomic approaches reveal number hubs (anterior entorhinal cortex cortical amygdala) key interconnectors main (the entorhinal-hippocampal-cortical amygdala-dorsal vagal nucleus) network dysfunction diseases.

Language: Английский

Citations

98

Towards precise resting-state fMRI biomarkers in psychiatry: synthesizing developments in transdiagnostic research, dimensional models of psychopathology, and normative neurodevelopment DOI Creative Commons
Linden Parkes, Theodore D. Satterthwaite, Danielle S. Bassett

et al.

Current Opinion in Neurobiology, Journal Year: 2020, Volume and Issue: 65, P. 120 - 128

Published: Nov. 23, 2020

Language: Английский

Citations

98

The integrated information theory of consciousness: A case of mistaken identity DOI
Björn Merker, Kenneth Williford, David Rudrauf

et al.

Behavioral and Brain Sciences, Journal Year: 2021, Volume and Issue: 45

Published: May 19, 2021

Abstract Giulio Tononi's integrated information theory (IIT) proposes explaining consciousness by directly identifying it with information. We examine the construct validity of IIT's measure consciousness, phi (Φ), analyzing its formal properties, relation to key aspects and co-variation relevant empirical circumstances. Our analysis shows that identification causal efficacy which differentiated networks accomplish global transfer (which is what Φ in fact measures) mistaken. This misidentification has consequence requiring attribution a range natural systems artifacts include, but are not limited to, large-scale electrical power grids, gene-regulation networks, some electronic circuit boards, social networks. Instead treating this as disconfirmation, IIT embraces it. By regarding these bearers ex hypothesi , led toward orbit panpsychist ideation. departure from science we know can be avoided recognizing functional misattribution at heart identity claim. show, for example, function actually performed, least human case, cortical combination differentiation integration identifies consciousness. Finally, lessons may drawn failure provide credible account progress very active field research concerned exploring phenomenon neural points view.

Language: Английский

Citations

93

A multi-scale cortical wiring space links cellular architecture and functional dynamics in the human brain DOI Creative Commons
Casey Paquola, Jakob Seidlitz, Oualid Benkarim

et al.

PLoS Biology, Journal Year: 2020, Volume and Issue: 18(11), P. e3000979 - e3000979

Published: Nov. 30, 2020

The vast net of fibres within and underneath the cortex is optimised to support convergence different levels brain organisation. Here, we propose a novel coordinate system human based on an advanced model its connectivity. Our approach inspired by seminal, but so far largely neglected models cortico-cortical wiring established postmortem anatomical studies capitalises cutting-edge in vivo neuroimaging machine learning. new expands currently prevailing diffusion magnetic resonance imaging (MRI) tractography incorporation additional features cortical microstructure proximity. Studying several datasets parcellation schemes, could show that our robustly recapitulates sensory-limbic anterior-posterior dimensions A series validation experiments showed space reflects microcircuit (including pyramidal neuron depth glial expression) allowed for competitive simulations functional connectivity dynamics resting-state (rs-fMRI) intracranial electroencephalography (EEG) coherence. results advance understanding how cell-specific neurobiological gradients produce hierarchical scheme concordant with increasing sophistication evaluations demonstrate bridges across scales neural organisation can be easily translated single individuals.

Language: Английский

Citations

90