Disrupted Hierarchical Functional Brain Organization in Affective and Psychotic Disorders: Insights from Functional Brain Gradients DOI
Joseph Kambeitz,

H. Häcker,

Linnea Hoheisel

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Patients with psychosis and depression show widespread alterations in brain resting-state functional connectivity (rs-FC), affecting both sensory higher-order regions. In this study, we investigate disruptions the hierarchical organization of networks patients psychotic affective disorders. We derived gradients, low dimensional representations rs-FC that capture cortical hierarchy, a large patient sample including clinical high-risk for (CHR-P) patients, recent-onset (ROP) (ROD) healthy controls (HC). examined regional alterations, network-level differentiation their relationship to symptoms. addition, linked case-control differences receptor expression maps explore underlying neurobiological mechanisms. All groups exhibited visual-to-sensorimotor gradient, while only ROP showed association-to-sensory gradient. CHR-P lower values ventral attention network. Additionally, combined higher somatomotor network, reduced gradient range altered between-network dispersion. ROD within-network dispersion attentional range. Correlational analysis revealed weak associations measures functioning, visual dysfunctions cognition. Furthermore maps, suggesting involvement neurotransmitter systems these disruptions. Our findings reveal transdiagnostic disease-specific organization. These indicate deficits integration across psychiatric diseases, highlighting role disease processes.

Language: Английский

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

20
Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community DOI
Jessica Royer, Casey Paquola, Sofie L. Valk

et al.

Neuroinformatics, Journal Year: 2024, Volume and Issue: unknown

Published: April 3, 2024

Language: Английский

Citations

10
Whole human-brain mapping of single cortical neurons for profiling morphological diversity and stereotypy DOI Creative Commons
Xiaofeng Han, Shuxia Guo, Nan Ji

et al.

Science Advances, Journal Year: 2023, Volume and Issue: 9(41)

Published: Oct. 12, 2023

Quantifying neuron morphology and distribution at the whole-brain scale is essential to understand structure diversity of cell types. It exceedingly challenging reuse recent technologies single-cell labeling imaging study human brains. We propose adaptive tomography (ACTomography), a low-cost, high-throughput, high-efficacy approach, based on targeting individual cells. established platform inject dyes into cortical neurons in surgical tissues 18 patients with brain tumors or other conditions one donated fresh postmortem brain. collected three-dimensional images 1746 neurons, which 852 were reconstructed quantify local dendritic morphology, mapped standard atlases. In our data, are more diverse across regions than by subject age gender. The strong stereotypy within cohorts allows generating statistical tensor field characterize anatomical modularity

Language: Английский

Citations

17
Towards automated writing evaluation: A comprehensive review with bibliometric, scientometric, and meta-analytic approaches DOI
Yi Xue

Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(15), P. 19553 - 19594

Published: March 23, 2024

Language: Английский

Citations

8
Atypical connectome topography and signal flow in temporal lobe epilepsy DOI
Ke Xie, Jessica Royer, Sara Larivière

et al.

Progress in Neurobiology, Journal Year: 2024, Volume and Issue: 236, P. 102604 - 102604

Published: April 10, 2024

Language: Английский

Citations

8
A shifting role of thalamocortical connectivity in the emergence of cortical functional organization DOI

Shinwon Park,

Koen V. Haak, Stuart Oldham

et al.

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(8), P. 1609 - 1619

Published: June 10, 2024

Language: Английский

Citations

7
A neurofunctional signature of subjective disgust generalizes to oral distaste and socio-moral contexts DOI
Xianyang Gan, Feng Zhou, Ting Xu

et al.

Nature Human Behaviour, Journal Year: 2024, Volume and Issue: 8(7), P. 1383 - 1402

Published: April 19, 2024

Language: Английский

Citations

6
Functional gradients reveal cortical hierarchy changes in multiple sclerosis DOI

Alessandro Pasquale De Rosa,

Alessandro d’Ambrosio, Alvino Bisecco

et al.

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(6)

Published: April 15, 2024

Abstract Functional gradient (FG) analysis represents an increasingly popular methodological perspective for investigating brain hierarchical organization but whether and how network hierarchy changes concomitant with functional connectivity alterations in multiple sclerosis (MS) has remained elusive. Here, we analyzed FG components to uncover possible cortical using resting‐state MRI (rs‐fMRI) data acquired 122 MS patients 97 healthy control (HC) subjects. Cortical was assessed by deriving regional scores from rs‐fMRI matrices a parcellation of the cerebral cortex. The identified primary (visual‐to‐sensorimotor) secondary (sensory‐to‐transmodal) component. Results showed significant alteration as indexed within sensorimotor compression (i.e., reduced standard deviation across all parcels) sensory‐transmodal axis, suggesting disrupted segregation between sensory cognitive processing. Moreover, limbic default mode networks were significantly correlated (, p < .005 after Bonferroni correction both) symbol digit modality test (SDMT) score, measure information processing speed commonly used neuropsychological assessments. Finally, leveraging supervised machine learning, tested predictive value network‐level features, highlighting prominent role accurate prediction SDMT (average mean absolute error 1.22 ± 0.07 points on hold‐out set 24 patients). Our work provides comprehensive evaluation MS, shedding light that can be regarded valuable approach studies different populations.

Language: Английский

Citations

6
Diverging asymmetry of intrinsic functional organization in autism DOI Creative Commons
Bin Wan, Seok‐Jun Hong, Richard A. I. Bethlehem

et al.

Molecular Psychiatry, Journal Year: 2023, Volume and Issue: 28(10), P. 4331 - 4341

Published: Aug. 16, 2023

Abstract Autism is a neurodevelopmental condition involving atypical sensory-perceptual functions together with language and socio-cognitive deficits. Previous work has reported subtle alterations in the asymmetry of brain structure reduced laterality functional activation individuals autism relative to non-autistic (NAI). However, whether asymmetries show altered intrinsic systematic organization remains unclear. Here, we examined inter- intra-hemispheric gradients capturing connectome along three axes, stretching between sensory-default, somatomotor-visual, default-multiple demand networks, study system-level hemispheric imbalances autism. We observed decreased leftward network autism, NAI. Whereas varied across age groups NAI, this was not case suggesting may result from developmental trajectories. Finally, that intra- but inter-hemispheric features were predictive severity autistic traits. Our findings illustrate how regional patterned lateralization at system level. Such differences be rooted trajectories

Language: Английский

Citations

16
Whole‐brain functional gradients reveal cortical and subcortical alterations in patients with episodic migraine DOI Creative Commons

Chae Hyeon Lee,

Hyunjin Park, Mi Ji Lee

et al.

Human Brain Mapping, Journal Year: 2023, Volume and Issue: 44(6), P. 2224 - 2233

Published: Jan. 17, 2023

Abstract Migraine is a type of headache with multiple neurological symptoms. Prior neuroimaging studies in patients migraine based on functional magnetic resonance imaging have found regional as well network‐level alterations brain function. Here, we expand prior by establishing whole‐brain connectivity patterns using dimensionality reduction techniques. We studied 50 episodic and sex‐ age‐matched healthy controls. Using techniques that project high‐dimensional onto low‐dimensional representations (i.e., eigenvectors), significant between‐group differences the eigenvectors between controls, particularly sensory/motor limbic cortices. Furthermore, assessed subcortical weighted manifolds defined subcortico‐cortical multiplied cortical revealed amygdala. Finally, leveraging supervised machine learning, moderately predicted frequency features, again indicating sensory regions play important role predicting frequency. Our study confirmed hierarchical disease shows along sensory‐limbic axis, therefore, these areas could be useful marker to investigate symptomatology.

Language: Английский

Citations

14