Distinct Spectral Profiles of Awake Resting EEG in Disorders of Consciousness: The Role of Frequency and Topography of Oscillations
In this study we used a robust method of resting-state EEG power spectrum parameter extraction to identify distinct spectral properties for different types of PDOC. Sixty patients and 37 healthy volunteers participated in this study. Patient group consisted of 22 unresponsive wakefulness patients, 25 minimally conscious patients and 13 patients emerging from the minimally conscious state. Ten minutes of resting EEG was acquired during wakefulness and transformed into individual power spectra. For each patient, using the spectral decomposition algorithm, we extracted maximum peak frequency within 1-14 Hz range in the centro...
Source: Brain Topography - December 29, 2023 Category: Neuroscience Authors: Dominika Dr ążyk Karol Przewrocki Urszula G órska-Klimowska Marek Binder Source Type: research
Changes in Mental Health and EEG Biomarkers of Undergraduates Under Different Patterns of Mindfulness
Brain Topogr. 2023 Dec 25. doi: 10.1007/s10548-023-01026-y. Online ahead of print.ABSTRACTThe effects of short-term mindfulness are associated with the different patterns (autonomic, audio guided, or experienced and certified mindfulness instructor guided mindfulness). However, robust evidence for reported the impacts of different patterns of mindfulness on mental health and EEG biomarkers of undergraduates is currently lacking. Therefore, we aimed to test the hypotheses that mindfulness training for undergraduates would improve mental health, and increase alpha power over frontal region and theta power over midline region...
Source: Brain Topography - December 25, 2023 Category: Neuroscience Authors: Miaoling Luo Quan Gan Ziyang Huang Yunxiong Jiang Kebin Li Minxiang Wu Dongxiao Yang Heng Shao Yanmei Chen Yu Fu Zhuangfei Chen Source Type: research
Changes in Mental Health and EEG Biomarkers of Undergraduates Under Different Patterns of Mindfulness
Brain Topogr. 2023 Dec 25. doi: 10.1007/s10548-023-01026-y. Online ahead of print.ABSTRACTThe effects of short-term mindfulness are associated with the different patterns (autonomic, audio guided, or experienced and certified mindfulness instructor guided mindfulness). However, robust evidence for reported the impacts of different patterns of mindfulness on mental health and EEG biomarkers of undergraduates is currently lacking. Therefore, we aimed to test the hypotheses that mindfulness training for undergraduates would improve mental health, and increase alpha power over frontal region and theta power over midline region...
Source: Brain Topography - December 25, 2023 Category: Neuroscience Authors: Miaoling Luo Quan Gan Ziyang Huang Yunxiong Jiang Kebin Li Minxiang Wu Dongxiao Yang Heng Shao Yanmei Chen Yu Fu Zhuangfei Chen Source Type: research
Changes in Mental Health and EEG Biomarkers of Undergraduates Under Different Patterns of Mindfulness
Brain Topogr. 2023 Dec 25. doi: 10.1007/s10548-023-01026-y. Online ahead of print.ABSTRACTThe effects of short-term mindfulness are associated with the different patterns (autonomic, audio guided, or experienced and certified mindfulness instructor guided mindfulness). However, robust evidence for reported the impacts of different patterns of mindfulness on mental health and EEG biomarkers of undergraduates is currently lacking. Therefore, we aimed to test the hypotheses that mindfulness training for undergraduates would improve mental health, and increase alpha power over frontal region and theta power over midline region...
Source: Brain Topography - December 25, 2023 Category: Neuroscience Authors: Miaoling Luo Quan Gan Ziyang Huang Yunxiong Jiang Kebin Li Minxiang Wu Dongxiao Yang Heng Shao Yanmei Chen Yu Fu Zhuangfei Chen Source Type: research
Changes in Mental Health and EEG Biomarkers of Undergraduates Under Different Patterns of Mindfulness
Brain Topogr. 2023 Dec 25. doi: 10.1007/s10548-023-01026-y. Online ahead of print.ABSTRACTThe effects of short-term mindfulness are associated with the different patterns (autonomic, audio guided, or experienced and certified mindfulness instructor guided mindfulness). However, robust evidence for reported the impacts of different patterns of mindfulness on mental health and EEG biomarkers of undergraduates is currently lacking. Therefore, we aimed to test the hypotheses that mindfulness training for undergraduates would improve mental health, and increase alpha power over frontal region and theta power over midline region...
Source: Brain Topography - December 25, 2023 Category: Neuroscience Authors: Miaoling Luo Quan Gan Ziyang Huang Yunxiong Jiang Kebin Li Minxiang Wu Dongxiao Yang Heng Shao Yanmei Chen Yu Fu Zhuangfei Chen Source Type: research
Changes in Mental Health and EEG Biomarkers of Undergraduates Under Different Patterns of Mindfulness
Brain Topogr. 2023 Dec 25. doi: 10.1007/s10548-023-01026-y. Online ahead of print.ABSTRACTThe effects of short-term mindfulness are associated with the different patterns (autonomic, audio guided, or experienced and certified mindfulness instructor guided mindfulness). However, robust evidence for reported the impacts of different patterns of mindfulness on mental health and EEG biomarkers of undergraduates is currently lacking. Therefore, we aimed to test the hypotheses that mindfulness training for undergraduates would improve mental health, and increase alpha power over frontal region and theta power over midline region...
Source: Brain Topography - December 25, 2023 Category: Neuroscience Authors: Miaoling Luo Quan Gan Ziyang Huang Yunxiong Jiang Kebin Li Minxiang Wu Dongxiao Yang Heng Shao Yanmei Chen Yu Fu Zhuangfei Chen Source Type: research
Changes in Mental Health and EEG Biomarkers of Undergraduates Under Different Patterns of Mindfulness
Brain Topogr. 2023 Dec 25. doi: 10.1007/s10548-023-01026-y. Online ahead of print.ABSTRACTThe effects of short-term mindfulness are associated with the different patterns (autonomic, audio guided, or experienced and certified mindfulness instructor guided mindfulness). However, robust evidence for reported the impacts of different patterns of mindfulness on mental health and EEG biomarkers of undergraduates is currently lacking. Therefore, we aimed to test the hypotheses that mindfulness training for undergraduates would improve mental health, and increase alpha power over frontal region and theta power over midline region...
Source: Brain Topography - December 25, 2023 Category: Neuroscience Authors: Miaoling Luo Quan Gan Ziyang Huang Yunxiong Jiang Kebin Li Minxiang Wu Dongxiao Yang Heng Shao Yanmei Chen Yu Fu Zhuangfei Chen Source Type: research
Changes in Mental Health and EEG Biomarkers of Undergraduates Under Different Patterns of Mindfulness
Brain Topogr. 2023 Dec 25. doi: 10.1007/s10548-023-01026-y. Online ahead of print.ABSTRACTThe effects of short-term mindfulness are associated with the different patterns (autonomic, audio guided, or experienced and certified mindfulness instructor guided mindfulness). However, robust evidence for reported the impacts of different patterns of mindfulness on mental health and EEG biomarkers of undergraduates is currently lacking. Therefore, we aimed to test the hypotheses that mindfulness training for undergraduates would improve mental health, and increase alpha power over frontal region and theta power over midline region...
Source: Brain Topography - December 25, 2023 Category: Neuroscience Authors: Miaoling Luo Quan Gan Ziyang Huang Yunxiong Jiang Kebin Li Minxiang Wu Dongxiao Yang Heng Shao Yanmei Chen Yu Fu Zhuangfei Chen Source Type: research
Exploring the Association Between EEG Microstates During Resting-State and Error-Related Activity in Young Children
We examined the relationship between the ERN and EEG microstates - whole-brain patterns of dynamically evolving scalp potential topographies that reflect periods of synchronized neural activity - during both a go/no-go task and resting-state in 90, 4-8-year-old children. The mean amplitude of the ERN was quantified during the -64 to 108 millisecond (ms) period of time relative to error commission, which was determined by data-driven microstate segmentation of error-related activity. We found that greater magnitude of the ERN associated with greater global explained variance (GEV; i.e., the percentage of total variance in t...
Source: Brain Topography - December 23, 2023 Category: Neuroscience Authors: Armen Bagdasarov Kenneth Roberts Denis Brunet Christoph M Michel Michael S Gaffrey Source Type: research
Exploring the Association Between EEG Microstates During Resting-State and Error-Related Activity in Young Children
We examined the relationship between the ERN and EEG microstates - whole-brain patterns of dynamically evolving scalp potential topographies that reflect periods of synchronized neural activity - during both a go/no-go task and resting-state in 90, 4-8-year-old children. The mean amplitude of the ERN was quantified during the -64 to 108 millisecond (ms) period of time relative to error commission, which was determined by data-driven microstate segmentation of error-related activity. We found that greater magnitude of the ERN associated with greater global explained variance (GEV; i.e., the percentage of total variance in t...
Source: Brain Topography - December 23, 2023 Category: Neuroscience Authors: Armen Bagdasarov Kenneth Roberts Denis Brunet Christoph M Michel Michael S Gaffrey Source Type: research
Disentanglement of Resting State Brain Networks for Localizing Epileptogenic Zone in Focal Epilepsy
The objective of this study is to extract pathological brain networks from interictal period of E/MEG recordings to localize epileptic foci for presurgical evaluation. We proposed here a resting state E/MEG analysis framework, to disentangle brain functional networks represented by neural oscillations. By using an Embedded Hidden Markov Model, we constructed a state space for resting state recordings consisting of brain states with different spatiotemporal patterns. Functional connectivity analysis along with graph theory was applied on the extracted brain states to quantify the network features of the extracted brain stat...
Source: Brain Topography - December 19, 2023 Category: Neuroscience Authors: Shuai Ye Anto Bagi ć Bin He Source Type: research
Disentanglement of Resting State Brain Networks for Localizing Epileptogenic Zone in Focal Epilepsy
The objective of this study is to extract pathological brain networks from interictal period of E/MEG recordings to localize epileptic foci for presurgical evaluation. We proposed here a resting state E/MEG analysis framework, to disentangle brain functional networks represented by neural oscillations. By using an Embedded Hidden Markov Model, we constructed a state space for resting state recordings consisting of brain states with different spatiotemporal patterns. Functional connectivity analysis along with graph theory was applied on the extracted brain states to quantify the network features of the extracted brain stat...
Source: Brain Topography - December 19, 2023 Category: Neuroscience Authors: Shuai Ye Anto Bagi ć Bin He Source Type: research
Disentanglement of Resting State Brain Networks for Localizing Epileptogenic Zone in Focal Epilepsy
The objective of this study is to extract pathological brain networks from interictal period of E/MEG recordings to localize epileptic foci for presurgical evaluation. We proposed here a resting state E/MEG analysis framework, to disentangle brain functional networks represented by neural oscillations. By using an Embedded Hidden Markov Model, we constructed a state space for resting state recordings consisting of brain states with different spatiotemporal patterns. Functional connectivity analysis along with graph theory was applied on the extracted brain states to quantify the network features of the extracted brain stat...
Source: Brain Topography - December 19, 2023 Category: Neuroscience Authors: Shuai Ye Anto Bagi ć Bin He Source Type: research
Disentanglement of Resting State Brain Networks for Localizing Epileptogenic Zone in Focal Epilepsy
The objective of this study is to extract pathological brain networks from interictal period of E/MEG recordings to localize epileptic foci for presurgical evaluation. We proposed here a resting state E/MEG analysis framework, to disentangle brain functional networks represented by neural oscillations. By using an Embedded Hidden Markov Model, we constructed a state space for resting state recordings consisting of brain states with different spatiotemporal patterns. Functional connectivity analysis along with graph theory was applied on the extracted brain states to quantify the network features of the extracted brain stat...
Source: Brain Topography - December 19, 2023 Category: Neuroscience Authors: Shuai Ye Anto Bagi ć Bin He Source Type: research
Reduced Reward Processing in Schizophrenia: A Comprehensive EEG Event-Related Oscillation Study
Brain Topogr. 2023 Dec 11. doi: 10.1007/s10548-023-01021-3. Online ahead of print.ABSTRACTIt is well known that abnormal reward processing is a characteristic feature of various psychopathologies including schizophrenia (SZ). Reduced reward anticipation has been suggested as a core symptom of SZ. The present study aims to evaluate the event-related oscillations (EROs) delta, theta, alpha, beta, and gamma in patients with SZ during the Monetary Incentive Delay (MID) task, which elicits the neural activity of reward processing. Twenty-one patients with SZ and twenty-two demographically matched healthy controls were included ...
Source: Brain Topography - December 11, 2023 Category: Neuroscience Authors: Özge Akgül Ezgi Fide Fatih Özel K öksal Alptekin Emre Bora Berna Binnur Akdede G örsev Yener Source Type: research
