Results 1 to 10 of about 6,293,610 (293)

Asymmetric high-order anatomical brain connectivity sculpts effective connectivity [PDF]

Network Neuroscience, 2020
Bridging the gap between symmetric, direct white matter brain connectivity and neural dynamics that are often asymmetric and polysynaptic may offer insights into brain architecture, but this remains an unresolved challenge in neuroscience.
Arseny A. Sokolov, Peter Zeidman, Adeel Razi, Michael Erb, Philippe Ryvlin, Marina A. Pavlova, Karl J. Friston   +6 more
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State-Dependent Effective Connectivity in Resting-State fMRI [PDF]

Frontiers in Neural Circuits, 2021
The human brain at rest exhibits intrinsic dynamics transitioning among the multiple metastable states of the inter-regional functional connectivity. Accordingly, the demand for exploring the state-specific functional connectivity increases for a deeper ...
Hae-Jeong Park, Hae-Jeong Park, Hae-Jeong Park, Hae-Jeong Park, Hae-Jeong Park, Jinseok Eo, Jinseok Eo, Chongwon Pae, Chongwon Pae, Chongwon Pae, Chongwon Pae, Junho Son, Junho Son, Sung Min Park, Sung Min Park, Jiyoung Kang, Jiyoung Kang, Jiyoung Kang, Jiyoung Kang   +18 more
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Multivariate autoregressive model estimation for high-dimensional intracranial electrophysiological data

NeuroImage, 2022
Fundamental to elucidating the functional organization of the brain is the assessment of causal interactions between different brain regions. Multivariate autoregressive (MVAR) modeling techniques applied to multisite electrophysiological recordings are ...
Christopher M. Endemann, Bryan M. Krause, Kirill V. Nourski, Matthew I. Banks, Barry Van Veen   +4 more
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Developmental Differences of Structural Connectivity and Effective Connectivity in Semantic Judgments of Chinese Characters

Frontiers in Human Neuroscience, 2020
Previous studies have investigated the developmental differences of semantic processing regarding brain activation between adults and children. However, little is known about whether the patterns of structural connectivity and effective connectivity ...
Li-Ying Fan, Li-Ying Fan, Li-Ying Fan, Yu-Chun Lo, Yu-Chun Lo, Yu-Chun Lo, Yung-Chin Hsu, Yu-Jen Chen, Wen-Yih Isaac Tseng, Wen-Yih Isaac Tseng, Wen-Yih Isaac Tseng, Tai-Li Chou, Tai-Li Chou, Tai-Li Chou   +13 more
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Brain effective connectivity and functional connectivity as markers of lifespan vascular exposures in middle-aged adults: The Bogalusa Heart Study

Frontiers in Aging Neuroscience, 2023
IntroductionEffective connectivity (EC), the causal influence that functional activity in a source brain location exerts over functional activity in a target brain location, has the potential to provide different information about brain network dynamics ...
Kai-Cheng Chuang, Kai-Cheng Chuang, Sreekrishna Ramakrishnapillai, Sreekrishna Ramakrishnapillai, Kaitlyn Madden, Julia St Amant, Kevin McKlveen, Kathryn Gwizdala, Ramasudhakar Dhullipudi, Lydia Bazzano, Owen Carmichael   +10 more
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A Novel Approach for Segment-Length Selection Based on Stationarity to Perform Effective Connectivity Analysis Applied to Resting-State EEG Signals

Sensors, 2022
Connectivity among different areas within the brain is a topic that has been notably studied in the last decade. In particular, EEG-derived measures of effective connectivity examine the directionalities and the exerted influences raised from the ...
Leonardo Góngora, Alessia Paglialonga, Alfonso Mastropietro, Giovanna Rizzo, Riccardo Barbieri   +4 more
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Classification of Schizophrenia by Combination of Brain Effective and Functional Connectivity

Frontiers in Neuroscience, 2021
At present, lots of studies have tried to apply machine learning to different electroencephalography (EEG) measures for diagnosing schizophrenia (SZ) patients. However, most EEG measures previously used are either a univariate measure or a single type of
Zongya Zhao, Zongya Zhao, Zongya Zhao, Zongya Zhao, Jun Li, Yanxiang Niu, Chang Wang, Chang Wang, Chang Wang, Chang Wang, Junqiang Zhao, Junqiang Zhao, Junqiang Zhao, Junqiang Zhao, Qingli Yuan, Qiongqiong Ren, Qiongqiong Ren, Qiongqiong Ren, Yongtao Xu, Yongtao Xu, Yongtao Xu, Yongtao Xu, Yi Yu, Yi Yu, Yi Yu, Yi Yu   +25 more
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Dynamic Causal Modeling Self-Connectivity Findings in the Functional Magnetic Resonance Imaging Neuropsychiatric Literature

Frontiers in Neuroscience, 2021
Dynamic causal modeling (DCM) is a method for analyzing functional magnetic resonance imaging (fMRI) and other functional neuroimaging data that provides information about directionality of connectivity between brain regions.
Andrew D. Snyder, Andrew D. Snyder, Liangsuo Ma, Liangsuo Ma, Joel L. Steinberg, Joel L. Steinberg, Kyle Woisard, Kyle Woisard, Frederick G. Moeller, Frederick G. Moeller, Frederick G. Moeller, Frederick G. Moeller   +11 more
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Establishment of Effective Biomarkers for Depression Diagnosis With Fusion of Multiple Resting-State Connectivity Measures

Frontiers in Neuroscience, 2021
Major depressive disorder (MDD) is a severe mental disorder and is lacking in biomarkers for clinical diagnosis. Previous studies have demonstrated that functional abnormalities of the unifying triple networks are the underlying basis of the ...
Yanling Li, Yanling Li, Yanling Li, Xin Dai, Huawang Wu, Lijie Wang   +5 more
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Sparse Estimation of Resting-State Effective Connectivity From fMRI Cross-Spectra

Frontiers in Neuroscience, 2018
In functional magnetic resonance imaging (fMRI), functional connectivity is conventionally characterized by correlations between fMRI time series, which are intrinsically undirected measures of connectivity. Yet, some information about the directionality
Carolin Lennartz, Carolin Lennartz, Jonathan Schiefer, Jonathan Schiefer, Stefan Rotter, Stefan Rotter, Jürgen Hennig, Jürgen Hennig, Pierre LeVan, Pierre LeVan   +9 more
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