Living on the edge: network neuroscience beyond nodes

Trends in Cognitive Sciences, Год журнала: 2023, Номер 27(11), С. 1068 - 1084

Опубликована: Сен. 15, 2023

Network neuroscience has emphasized the connectional properties of neural elements - cells, populations, and regions. This come at expense anatomical functional connections that link these to one another. A new perspective namely emphasizes 'edges' may prove fruitful in addressing outstanding questions network neuroscience. We highlight recently proposed 'edge-centric' method review its current applications, merits, limitations. also seek establish conceptual mathematical links between this previously approaches science neuroimaging literature. conclude by presenting several avenues for future work extend refine existing edge-centric analysis.

Язык: Английский

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Edge-centric analysis of time-varying functional brain networks with applications in autism spectrum disorder

NeuroImage, Год журнала: 2022, Номер 263, С. 119591 - 119591

Опубликована: Авг. 27, 2022

The interaction between brain regions changes over time, which can be characterized using time-varying functional connectivity (tvFC). common approach to estimate tvFC uses sliding windows and offers limited temporal resolution. An alternative method is use the recently proposed edge-centric approach, enables tracking of moment-to-moment in co-fluctuation patterns pairs regions. Here, we first examined dynamic features edge time series compared them those window (sw-tvFC). Then, used compare subjects with autism spectrum disorder (ASD) healthy controls (CN). Our results indicate that relative sw-tvFC, captured rapid bursty network-level fluctuations synchronize across during movie-watching. from second part study suggested magnitude peak amplitude collective co-fluctuations (estimated as root sum square (RSS) series) similar CN ASD. However, trough-to-trough duration RSS signal greater ASD, CN. Furthermore, an edge-wise comparison high-amplitude showed within-network edges exhibited findings suggest by provide details about disruption dynamics could potentially developing new biomarkers mental disorders.

Язык: Английский

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Modular subgraphs in large-scale connectomes underpin spontaneous co-fluctuation events in mouse and human brains

Communications Biology, Год журнала: 2024, Номер 7(1)

Опубликована: Янв. 24, 2024

Abstract Previous studies have adopted an edge-centric framework to study fine-scale network dynamics in human fMRI. To date, however, no applied this data collected from model organisms. Here, we analyze structural and functional imaging lightly anesthetized mice through lens. We find evidence of “bursty” events - brief periods high-amplitude connectivity. Further, show that on a per-frame basis best explain static FC can be divided into series hierarchically-related clusters. The co-fluctuation patterns associated with each cluster centroid link distinct anatomical areas largely adhere the boundaries algorithmically detected brain systems. then investigate connectivity undergirding patterns. induce modular bipartitions inter-areal axonal projections. Finally, replicate these same findings dataset. In summary, report recapitulates organism many phenomena observed previously analyses data. However, unlike subjects, murine nervous system is amenable invasive experimental perturbations. Thus, sets stage for future investigation causal origins co-fluctuations. Moreover, cross-species consistency reported enhances likelihood translation.

Язык: Английский

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Romer-EPTI: rotating-view motion-robust super-resolution EPTI for SNR-efficient distortion-free in-vivo mesoscale dMRI and microstructure imaging

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Янв. 29, 2024

Abstract Purpose To overcome the major challenges in dMRI acquisition, including low SNR, distortion/blurring, and motion vulnerability. Methods A novel Romer-EPTI technique is developed to provide distortion-free with significant SNR gain, high motion-robustness, sharp spatial resolution, simultaneous multi-TE imaging. It introduces a ROtating-view Motion-robust supEr-Resolution (Romer) combined distortion/blurring-free EPTI encoding. Romer enhances by multi-thick-slice acquisition rotating-view encoding, while providing motion-robustness through motion-aware super-resolution reconstruction, which also incorporates slice-profile real-value diffusion, resolve high-isotropic-resolution volumes. The in-plane encoding performed using EPTI, further improves effective resolution robustness preventing not only T 2 /T *-blurring but additional blurring resulting from combining encoded volumes inconsistent geometries caused dynamic distortions. Self-navigation was incorporated enable efficient phase correction. Additional developments include strategies address slab-boundary artifacts, achieve minimal TE for gain at 7T, strong variations b-values. Results Using Romer-EPTI, we demonstrate whole-brain mesoscale in-vivo both 3T (500-μm-iso) 7T (485-μm-iso) first time, efficiency (e.g., ), image quality free distortion artifacts blurring. Motion experiments Romer-EPTI’s ability recover images presence of motion. demonstrates b-value (b=5000s/mm ) time-dependent dMRI. Conclusion significantly quality, highly high-resolution microstructure

Язык: Английский

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Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention

Journal of Neuroscience, Год журнала: 2024, Номер 44(14), С. e1543232024 - e1543232024

Опубликована: Фев. 5, 2024

Although we must prioritize the processing of task-relevant information to navigate life, our ability do so fluctuates across time. Previous work has identified fMRI functional connectivity (FC) networks that predict an individual's sustain attention and vary with attentional state from 1 min next. However, traditional dynamic FC approaches typically lack temporal precision capture moment-to-moment network fluctuations. Recently, researchers have "unfurled" matrices in "edge cofluctuation time series" which measure timepoint-by-timepoint cofluctuations between regions. Here apply event-based parametric analyses edge series fluctuations related attention. In two independent datasets examining young adults both sexes participants performed a sustained task, reliable set edges rapidly deflects response rare task events. Another varies continuous overlaps previously defined associated individual differences Demonstrating edge-based are not simply redundant regions-of-interest-based approaches, up one-third reliably deflected were predicted univariate activity patterns alone. These results reveal large potential combining identify rapid reconfigurations brain.

Язык: Английский

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Reliability of variability and complexity measures for task and task‐free BOLD fMRI

Human Brain Mapping, Год журнала: 2024, Номер 45(10)

Опубликована: Июль 9, 2024

Abstract Brain activity continuously fluctuates over time, even if the brain is in controlled (e.g., experimentally induced) states. Recent years have seen an increasing interest understanding complexity of these temporal variations, for example with respect to developmental changes function or between‐person differences healthy and clinical populations. However, psychometric reliability signal variability measures—which important precondition robust individual as well longitudinal research—is not yet sufficiently studied. We examined (split‐half correlations) test–retest correlations task‐free (resting‐state) BOLD fMRI split‐half seven functional task data sets from Human Connectome Project evaluate their reliability. observed good excellent measures derived rest activation time series (standard deviation, mean absolute successive difference, squared difference), moderate same under conditions. estimates (several entropy dimensionality measures) showed reliabilities both, calculated also time‐resolved (dynamic) connectivity measures, but poor series. Global (i.e., across cortical regions) tended show higher than region‐specific estimates. Larger subcortical regions similar regions, small lower reliability, especially measures. Lastly, we that scores are only minorly dependent on scan length replicate our results different parcellation denoising strategies. These suggest well‐suited research. Temporal global provides novel approach robustly quantifying dynamics function. Practitioner Points Variability Measures can quantify neural dynamics. Length has a minor effect

Язык: Английский

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Source Reconstruction Without an MRI using Optically Pumped Magnetometer based Magnetoencephalography

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Янв. 31, 2025

Abstract Source modelling in magnetoencephalography (MEG) maps the spatial origins of electrophysiological signals brain. Typically, this requires an anatomical MRI scan subject’s head, from which a model neuromagnetic field (the forward model) is derived. Wearable MEG – based on optically pumped magnetometers (OPMs) enables measurement participants who struggle to cope with conventional scanning environments (e.g. children), enabling study novel cohorts. However, its value limited if still required for source modelling. Here we describe method warping template MRIs 3D structured-light scans generate “pseudo-MRIs”. We apply our using data 20 during sensory task, measuring induced (beta band) responses and whole-brain functional connectivity. Results show that group average locations peak task-induced beta modulation were separated by 2.75 mm, when comparing real- pseudo-MRI approaches. Group averaged time-frequency spectra also highly correlated (Pearson correlation 0.99) as connectome matrices (0.87), global connectivity (0.98). In sum, results demonstrate source-localized OPM-MEG data, modelled without individual can be similar. This will useful future studies where capture challenging.

Язык: Английский

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The influence of sensory modalities and background information on the vividness of Li Bai’s classical poetry

Current Psychology, Год журнала: 2025, Номер unknown

Опубликована: Март 14, 2025

Язык: Английский

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Leveraging multivariate information for community detection in functional brain networks

Communications Biology, Год журнала: 2025, Номер 8(1)

Опубликована: Май 30, 2025

Brain functioning relies on specialized systems whose integration enables cognition and behavior. Network science provides tools to model the brain as a set of interconnected regions wherein those segregated (modules) can be identified by optimizing weights pairwise connections within them. However, knowledge alone these might not suffice: dynamics are also engendered higher-order interactions that simultaneously involve multiple areas. Here, we propose community detection algorithm accounts for multivariate finds modules activity is maximally redundant. We compared redundancy-dominated with conventional methods, uncovering new organization transmodal cortex. Moreover, identifying spatial resolution where within-module redundancy between-module synergy balanced, captured manifestation interplay between segregation information. Finally, distinguish high low topological specialization based their contribution within- or redundancy, observed how redundant reconfigure across lifespan. Altogether, results show modular pave way future investigations link it cognition, behavior, disease.

Язык: Английский

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Functional reconfiguration between rest and movie watching relates to theory-of-mind performance among young and older adults

Cerebral Cortex, Год журнала: 2025, Номер 35(6)

Опубликована: Июнь 1, 2025

Abstract Functional connectivity among macroscale brain networks is minimally modified across rest and task states, suggesting a shared functional architecture supporting efficient neural processing. The extent of reconfiguration (ie change between states), moreover, shows individual variation, with less generally being associated better performance. Older adults reconfigure more than young when completing goal-directed tasks known age deficits. Less about states that closely mirror the complexity daily life. Thus, we examined passive viewing mockumentary television show, involving richly contextualized social interactions, (18 to 35 years; N = 101) older (61 92 83) adults. Then, related participants’ accurate understanding those interactions (theory mind) on novel conducted outside scanner. Consistent prior work, exhibited greater cortical worse theory-of-mind performance compared Greater performance, default frontoparietal most strongly contributed this association. These findings provide insight into how reduced specializations disrupt cognition even in absence an explicit task.

Язык: Английский

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