Article
Neurosciences
Yusuke Takeda, Nobuo Hiroe, Okito Yamashita
Summary: Repetitive propagating activities in the resting-state brain reflect past experiences and integrate information distributed over the entire brain, such as visual and motor information. These activities exhibit multiple resting-state networks in different frequency components, suggesting a process of integrating distributed information.
Article
Clinical Neurology
HaoFei Wang, Shui Tian, Rui Yan, Hao Tang, Jiabo Shi, RongXin Zhu, Yu Chen, YingLin Han, Zhilu Chen, HongLiang Zhou, Shuai Zhao, ZhiJian Yao, Qing Lu
Summary: This study investigated the neural oscillation patterns and cognitive impairments in patients with unipolar depression (UD) and bipolar depression (BD) using magnetoencephalography (MEG). The results showed that BD patients had more severe cognitive impairments in different dimensions compared to UD patients, and these impairments were associated with disrupted beta power modulations.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Clinical Neurology
Sandra Pusil, Lucia Torres-Simon, Brenda Chino, Maria Eugenia Lopez, Leonides Canuet, Alvaro Bilbao, Fernando Maestu, Nuria Paul
Summary: Stroke is a major cause of death globally, resulting in cognitive and physical deficits. Neuropsychological rehabilitation plays a significant role in the recovery process, which is related to the enhancement of functional connectivity.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Marinho A. Lopes, Dominik Krzeminski, Khalid Hamandi, Krish D. Singh, Naoki Masuda, John R. Terry, Jiaxiang Zhang
Summary: The study investigated the applicability of the BNI framework to resting-state MEG in patients with JME, finding that patients with JME had a higher propensity to generate seizures compared to healthy controls. The BNI framework was effective in differentiating between epilepsy patients and healthy controls.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Neurosciences
Gilles Naeije, Nicolas Coquelet, Vincent Wens, Serge Goldman, Massimo Pandolfo, Xavier De Tiege
Summary: This study found a positive correlation between age of symptoms onset (ASO) in FRDA patients and the temporal dynamics of two HMM states involving the default mode network (DMN) and temporo-parietal junctions (TPJ). Additionally, it showed that the temporal dynamics of the DMN state correlated with minute-long DMN rsFC. The study demonstrates that ASO is the main determinant of alterations in the sub-second dynamics of posterior associative neocortices in FRDA patients and confirms a direct link between sub-second network activity and functional brain integration over long timescales.
HUMAN BRAIN MAPPING
(2021)
Article
Neuroimaging
Matthias Sure, Sean Mertiens, Jan Vesper, Alfons Schnitzler, Esther Florin
Summary: The stun effect from deep brain stimulation (DBS) electrodes in Parkinson's disease (PD) patients can temporarily improve motor symptoms. However, the network changes induced by the stun effect have not been well characterized. This study investigated whether the DBS-related stun effect also modulated resting-state networks (RSNs) and found that it alters different functional RSNs throughout the brain.
NEUROIMAGE-CLINICAL
(2023)
Article
Neurosciences
Jianfeng Zhang, Dong-Qiang Liu, Shufang Qian, Xiujuan Qu, Peiwen Zhang, Nai Ding, Yu-Feng Zang
Summary: This study investigates the neural correlates of fMRI-ALFF by comparing the amplitude differences between eyes-closed and eyes-open states in fMRI and MEG. The results show that MEG-ALFF increases at parietal sensors, overlapping with the EC-EO differences observed in fMRI. These findings suggest that the amplitude in MEG reflects distinct physiological information and that fMRI-ALFF may be related to the ALFF in neural activity.
Article
Neurosciences
Megan Godfrey, Krish D. Singh
Summary: The study utilized MRVE to investigate dynamic signal variability across different time scales and compared the connectivity patterns at different scales. It was found that MRVE and AEC methods showed similarity in connectivity patterns at different temporal scales, with the most consistent patterns between participants seen in MRVE correlation at f(s) = 75Hz and AEC in the beta band.
Article
Neurosciences
Eirini Messaritaki, Sonya Foley, Simona Schiavi, Lorenzo Magazzini, Bethany Routley, Derek K. Jones, Krish D. Singh
Summary: The study investigates the relationship between brain structure and function using microstructural MRI and resting-state MEG data. The shortest-path-length algorithm is found to be better at predicting functional connectivity patterns, with streamline count and myelination leading to the highest correlations between predicted and observed functional connectivity.
NETWORK NEUROSCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Carmen Vidaurre, Vadim V. Nikulin, Maria Herrojo Ruiz
Summary: Anxiety affects a significant portion of the adult population and is a burden on health systems. This study examines the use of neurophysiological techniques to identify biological markers for anxiety. The researchers found that a specific spatial pattern in the theta frequency range is negatively correlated with anxiety, suggesting it could be a potential intervention target.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Psychology, Developmental
Felicha T. Candelaria-Cook, Megan E. Schendel, Lucinda Flynn, Cassandra Cerros, Piyadasa Kodituwakku, Ludmila N. Bakhireva, Dina E. Hill, Julia M. Stephen
Summary: Individuals with PAE/FASD showed significantly reduced alpha peak frequency (APF) compared to typically developing controls (TDC), with this difference persisting throughout development. The study suggests that prenatal alcohol exposure may have long-lasting detrimental effects on neurophysiological processes.
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
(2022)
Article
Psychology, Developmental
Felicha T. Candelaria-Cook, Megan E. Schendel, Lucinda Flynn, Cassandra Cerros, Piyadasa Kodituwakku, Ludmila N. Bakhireva, Dina E. Hill, Julia M. Stephen
Summary: Prenatal alcohol exposure can lead to long-term changes in physical, behavioral, and cognitive functioning in children, including alterations in white matter integrity, corticothalamic tract integrity, and alpha cortical oscillations. This study found that individuals with prenatal alcohol exposure had significantly reduced alpha peak frequency compared to typically developing controls, and this difference persisted throughout development.
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Fabrizio Lombardi, Oren Shriki, Hans J. Herrmann, Lucilla de Arcangelis
Summary: Resting-state brain activity is characterized by neuronal avalanches without characteristic size, indicating criticality and long-range correlations in brain functioning. Analyzing temporal correlations in broadband brain activity through neuronal avalanches may provide insights into normal and pathological behaviors in complex cortical rhythms.
Review
Anesthesiology
Paul Theo Zebhauser, Vanessa D. Hohn, Markus Ploner
Summary: Reliable and objective biomarkers are important for the assessment and treatment of chronic pain. Resting-state EEG has potential as a biomarker due to its availability and cost-efficiency. A systematic review of quantitative resting-state EEG and MEG studies in adult chronic pain patients was conducted. The review found higher theta and beta power in patients compared to healthy participants in cross-sectional studies, but no clear associations between pain relief or pain intensity with M/EEG measures in longitudinal or descriptive studies. The review highlights the need for further research in developing pain biomarkers using resting-state M/EEG.
Article
Clinical Neurology
Shuai Ye, Anto Bagic, Bin He
Summary: 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.