Synchronous high-amplitude co-fluctuations of functional brain networks during movie-watching DOI Creative Commons
Jacob Tanner, Joshua Faskowitz, Lisa Byrge

и другие.

Research Square (Research Square), Год журнала: 2022, Номер unknown

Опубликована: Авг. 3, 2022

Abstract Recent studies have shown that functional connectivity can be decomposed into its exact framewise contributions, revealing short-lived, infrequent, and high-amplitude time points referred to as ``events.'' Although events contribute disproportionately the time-averaged pattern, improve identifiability brain-behavior associations, been linked endogenous hormonal fluctuations autism, their origins remain unclear. Here, we address this question using two independently-acquired imaging datasets in which participants passively watched movies. We find synchronize across individuals based on level of synchronization, categorized three distinct classes: those at boundaries between movies, during do not all. boundary events, compared other categories, exhibit greater amplitude, co-fluctuation patterns, temporal propagation. show underlying is a specific mode involving activation control salience systems alongside deactivation visual systems. Finally, strong positive relationship similarity time-locked patterns propensity for frames involve synchronous events. Collectively, our results suggest spatiotemporal properties are non-random locked time-varying stimuli.

Язык: Английский

Edge Time Series Components of Functional Connectivity and Cognitive Function in Alzheimer’s Disease DOI Creative Commons
Evgeny J. Chumin, Sarah A. Cutts, Shannon L. Risacher

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Май 14, 2023

Understanding the interrelationships of brain function as measured by resting-state magnetic resonance imaging and neuropsychological/behavioral measures in Alzheimer's disease is key for advancement neuroimaging analysis methods clinical research. The edge time-series framework recently developed field network neuroscience, combination with other science methods, allows investigations brain-behavior relationships that are not possible conventional functional connectivity methods. Data from Indiana Disease Research Center sample (53 cognitively normal control, 47 subjective cognitive decline, 32 mild impairment, 20 participants) were used to investigate between components, each derived a subset time points based on co-fluctuation regional signals, domain-specific neuropsychological functions. Multiple identified component approach found connectivity. These involved attentional, limbic, frontoparietal, default mode systems their interactions, which shown couple cognitive, executive, language, attention domains. Additionally, overlapping results obtained two different statistical strategies (network contingency correlation network-based statistics correlation). Results demonstrate components reveal disease-relevant observed static

Язык: Английский

Процитировано

1

Functional brain connectome-transcriptional landscape linking to transdiagnostic factors of psychopathological symptoms DOI Creative Commons
Zhiyi Chen, Xuerong Liu, Wei Li

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Фев. 13, 2024

Abstract Transdiagnostic factors are considered promising in elucidating the etiological underpinnings of psychiatric comorbidities, especially anxiety and depression. However, their symptom-centered neurobiological substrates, encompassing genetic macro-micro-molecular brain functional landscape, remain elusive. Here, we develop edge-centric connectome-based predictive models for transdiagnostic depression symptoms (sTDF). These estimated from nonlinear Gaussian topological schemes a nationwide sample twin dataset. Edge-centric connectome was found to be reproducible generalizable neural signatures sTDF, showing high sensitivity neurally representing sTDF similarity patterns attention/frontoparietal networks. Such were moderately heritable. Genetic transcriptional analyses further revealed biological enrichment gene expression these emerging into vessel systems metabolism CMRO2 cerebellar development late-childhood-to-young-adulthood. Our findings shed lights on architectures by clarifying edge-centeric connectome-transcriptional signature.

Язык: Английский

Процитировано

0

Edge time series components of functional connectivity and cognitive function in Alzheimer’s disease DOI Creative Commons
Evgeny J. Chumin, Sarah A. Cutts, Shannon L. Risacher

и другие.

Brain Imaging and Behavior, Год журнала: 2023, Номер 18(1), С. 243 - 255

Опубликована: Ноя. 27, 2023

Understanding the interrelationships of brain function as measured by resting-state magnetic resonance imaging and neuropsychological/behavioral measures in Alzheimer's disease is key for advancement neuroimaging analysis methods clinical research. The edge time-series framework recently developed field network neuroscience, combination with other science methods, allows investigations brain-behavior relationships that are not possible conventional functional connectivity methods. Data from Indiana Disease Research Center sample (53 cognitively normal control, 47 subjective cognitive decline, 32 mild impairment, 20 participants) were used to investigate between components, each derived a subset time points based on co-fluctuation regional signals, domain-specific neuropsychological functions. Multiple identified component approach found connectivity. These involved attentional, limbic, frontoparietal, default mode systems their interactions, which shown couple cognitive, executive, language, attention domains. Additionally, overlapping results obtained two different statistical strategies (network contingency correlation network-based statistics correlation). Results demonstrate components reveal disease-relevant observed static

Язык: Английский

Процитировано

1

Temporal dysregulation of the somatomotor network in agitated depression DOI Creative Commons
Qunjun Liang,

Ziyun Xu,

Shengli Chen

и другие.

Brain Communications, Год журнала: 2024, Номер 6(6)

Опубликована: Янв. 1, 2024

Agitated depression (A-MDD) is a severe subtype of major depressive disorder, with an increased risk suicidality and the potential to evolve into bipolar disorder. Despite its clinical significance, neural basis remains unclear. We hypothesize that psychomotor agitation, marked by pressured speech racing thoughts, linked disruptions in brain dynamics. To test this hypothesis, we examined dynamics using time delay estimation edge-centre series, as well dynamic connections between somatomotor network (SMN) default mode 44 patients A-MDD, 75 non-agitated MDD (NA-MDD), 94 healthy controls. Our results revealed co-activity duration was shorter A-MDD group compared both NA-MDD controls (A-MDD versus NA-MDD:

Язык: Английский

Процитировано

0

Synchronous high-amplitude co-fluctuations of functional brain networks during movie-watching DOI Creative Commons
Jacob Tanner, Joshua Faskowitz, Lisa Byrge

и другие.

Research Square (Research Square), Год журнала: 2022, Номер unknown

Опубликована: Авг. 3, 2022

Abstract Recent studies have shown that functional connectivity can be decomposed into its exact framewise contributions, revealing short-lived, infrequent, and high-amplitude time points referred to as ``events.'' Although events contribute disproportionately the time-averaged pattern, improve identifiability brain-behavior associations, been linked endogenous hormonal fluctuations autism, their origins remain unclear. Here, we address this question using two independently-acquired imaging datasets in which participants passively watched movies. We find synchronize across individuals based on level of synchronization, categorized three distinct classes: those at boundaries between movies, during do not all. boundary events, compared other categories, exhibit greater amplitude, co-fluctuation patterns, temporal propagation. show underlying is a specific mode involving activation control salience systems alongside deactivation visual systems. Finally, strong positive relationship similarity time-locked patterns propensity for frames involve synchronous events. Collectively, our results suggest spatiotemporal properties are non-random locked time-varying stimuli.

Язык: Английский

Процитировано

2