The significance of structural rich club hubs for the processing of hierarchical stimuli DOI Creative Commons
Falko Mecklenbrauck, Marius Gruber, Sophie Siestrup

et al.

Human Brain Mapping, Journal Year: 2023, Volume and Issue: 45(4)

Published: Dec. 8, 2023

Abstract The brain's structural network follows a hierarchy that is described as rich club (RC) organization, with RC hubs forming the well‐interconnected top of this hierarchy. In study, we tested whether are involved in processing hierarchically higher structures stimulus sequences. Moreover, explored role previously suggested cortical gradients along anterior‐posterior and medial‐lateral axes throughout frontal cortex. To end, conducted functional magnetic resonance imaging (fMRI) experiment presented participants blocks digit sequences were structured on different nested levels. We additionally collected diffusion weighted data same subjects to identify hubs. This classification then served basis for region interest analysis fMRI data. determined centrality measures areas found activation clusters whole‐brain analysis. Our findings support anterior medial shift stimuli. Additionally, structure engages more than lower Areas also likely be part furthermore central network. summary, our results highlight potential organization shaping

Language: Английский

Neurophysiological signatures of cortical micro-architecture DOI Creative Commons
Golia Shafiei, Ben Fulcher, Bradley Voytek

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Sept. 26, 2023

Abstract Systematic spatial variation in micro-architecture is observed across the cortex. These micro-architectural gradients are reflected neural activity, which can be captured by neurophysiological time-series. How spontaneous dynamics organized cortex and how they arise from heterogeneous cortical remains unknown. Here we extensively profile regional human brain estimating over 6800 time-series features resting state magnetoencephalography (MEG) signal. We then map profiles to a comprehensive multi-modal, multi-scale atlas of micro-architecture, including microstructure, metabolism, neurotransmitter receptors, cell types laminar differentiation. find that dominant axis reflects characteristics power spectrum density linear correlation structure signal, emphasizing importance conventional electromagnetic while identifying additional informative have traditionally received less attention. Moreover, co-localized with multiple features, gene expression gradients, intracortical myelin, receptors transporters, oxygen glucose metabolism. Collectively, this work opens new avenues for studying anatomical basis activity.

Language: Английский

Citations

33
Extracting interpretable signatures of whole-brain dynamics through systematic comparison DOI Creative Commons
Annie G. Bryant, Kevin Aquino, Linden Parkes

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 12, 2024

The brain's complex distributed dynamics are typically quantified using a limited set of manually selected statistical properties, leaving the possibility that alternative dynamical properties may outperform those reported for given application. Here, we address this limitation by systematically comparing diverse, interpretable features both intra-regional activity and inter-regional functional coupling from resting-state magnetic resonance imaging (rs-fMRI) data, demonstrating our method case-control comparisons four neuropsychiatric disorders. Our findings generally support use linear time-series analysis techniques rs-fMRI analyses, while also identifying new ways to quantify informative fMRI structures. While simple representations performed surprisingly well (e.g., within single brain region), combining with improved performance, underscoring distributed, multifaceted changes in comprehensive, data-driven introduced here enables systematic identification interpretation quantitative signatures multivariate applicability beyond neuroimaging diverse scientific problems involving time-varying systems.

Language: Английский

Citations

5
Putative epicenters identified by transcriptome-neuromorphic interactions in attention-deficit/hyperactivity disorder biotypes DOI
Qin Tang,

Jinzhong Peng,

Yilu Li

et al.

Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal Year: 2025, Volume and Issue: 136, P. 111247 - 111247

Published: Jan. 1, 2025

Language: Английский

Citations

0
The significance of structural rich club hubs for the processing of hierarchical stimuli DOI Creative Commons
Falko Mecklenbrauck, Marius Gruber, Sophie Siestrup

et al.

Human Brain Mapping, Journal Year: 2023, Volume and Issue: 45(4)

Published: Dec. 8, 2023

Abstract The brain's structural network follows a hierarchy that is described as rich club (RC) organization, with RC hubs forming the well‐interconnected top of this hierarchy. In study, we tested whether are involved in processing hierarchically higher structures stimulus sequences. Moreover, explored role previously suggested cortical gradients along anterior‐posterior and medial‐lateral axes throughout frontal cortex. To end, conducted functional magnetic resonance imaging (fMRI) experiment presented participants blocks digit sequences were structured on different nested levels. We additionally collected diffusion weighted data same subjects to identify hubs. This classification then served basis for region interest analysis fMRI data. determined centrality measures areas found activation clusters whole‐brain analysis. Our findings support anterior medial shift stimuli. Additionally, structure engages more than lower Areas also likely be part furthermore central network. summary, our results highlight potential organization shaping

Language: Английский

Citations

3