Article
Neurosciences
Jawata Afnan, Nicolas von Ellenrieder, Jean-Marc Lina, Giovanni Pellegrino, Giorgio Arcara, Zhengchen Cai, Tanguy Hedrich, Chifaou Abdallah, Hassan Khajehpour, Birgit Frauscher, Jean Gotman, Christophe Grova
Summary: This study validates the ability of MEG to estimate resting state brain activity and compares it with the iEEG atlas. The results show that MEG estimates are more accurate in lateral regions and underestimate activity in deep regions, especially in the alpha band with high phase synchronization. Importantly, MEG-estimated spectra are more comparable to iEEG spectra after removing aperiodic components.
Article
Neurosciences
Stavros Dimitriadis
Summary: Resting-state magnetoencephalography data of 103 subjects aged 18-60 years were analyzed to uncover the directionality and time delay of information flow between brain regions. Additionally, a novel brain age index was introduced, showing the age-dependent changes in brain activity across different frequencies.
Article
Neurosciences
Olivier B. Simon, Donald C. Rojas, Debashis Ghosh, Xinyi Yang, Sarah E. Rogers, Christine S. Martin, Samantha K. Holden, Benzi M. Kluger, Isabelle Buard
Summary: Aberrant brain oscillations, especially in lower frequency bands, are associated with cognitive impairment in Parkinson's disease (PD). This study used magnetoencephalography (MEG) to identify the specific brain regions and frequencies that are most associated with different cognitive profiles in PD patients. The results suggest that mild cognitive impairment (MCI) and PD dementia (PDD) may be distinct cognitive phenotypes, with the most significant changes occurring during the transition from normal cognition to MCI.
JOURNAL OF NEUROPHYSIOLOGY
(2022)
Article
Neurosciences
Almudena Capilla, Lydia Arana, Marta Garcia-Huescar, Maria Melcon, Joachim Gross, Pablo Campo
Summary: This study created an atlas of the natural frequencies of the resting human brain at the voxel level using a multivariate data-driven approach. The results revealed a region-specific organization of intrinsic oscillatory activity and provided empirical confirmation of canonical frequency bands.
Article
Neurosciences
Luke Tait, Aysegul Ozkan, Maciej J. Szul, Jiaxiang Zhang
Summary: Noninvasive functional neuroimaging techniques like magnetoencephalography (MEG) provide important insights into healthy cognition and neurological disorders. However, determining the optimal source reconstruction algorithm for resting-state data remains a challenge. This study evaluated common algorithms and proposed a data-driven approach to optimize a reduced cortical atlas for MEG data analysis. Our results emphasize the importance of selecting appropriate algorithms based on the specific dataset and research goals.
HUMAN BRAIN MAPPING
(2021)
Article
Neurosciences
Gaelle E. Doucet, Loic Labache, Paul M. Thompson, Marc Joliot, Sophia Frangou
Summary: The study aimed to construct a reliable brain atlas derived from older participants, identifying and subdividing major RSNs with high spatial reproducibility. Results showed spatial differences in RSNs derived from older versus younger populations, leading to the creation of a novel age-appropriate brain atlas, Atlas55+, for late adulthood RSN studies.
Article
Neurosciences
Brandon J. Lew, Emily E. Fitzgerald, Lauren R. Ott, Samantha H. Penhale, Tony W. Wilson
Summary: Resting-state oscillatory power in the alpha and beta bands shows the highest reliability estimates over three years, while gamma shows the lowest. Spatially, delta, alpha, and beta exhibit the highest degrees of reliability in the parietal cortex.
Article
Neurosciences
Giovanni Pellegrino, Anna-Lisa Schuler, Giorgio Arcara, Giovanni Di Pino, Francesco Piccione, Eliane Kobayashi
Summary: This study investigated the impact of EPI noise on resting state activity and connectivity using MEG. Results showed that both fMRI and white noise reduced connectivity of cortical networks, with specific effects in the auditory and sensory-motor networks for fMRI noise. Theta-delta activity related to drowsiness correlated positively with variations in cortical connectivity.
Article
Biology
David P. Shorten, Viola Priesemann, Michael Wibral, Joseph T. Lizier, Tatyana O. Sharpee
Summary: This study quantifies the changes in information flow during neural development by analyzing the spontaneous activity of developing dissociated neural cell cultures. It reveals a dramatic increase in information flow quantity across networks during development, as well as the tendency for information flows to lock-in at specific points. Additionally, it characterizes the specialized computational roles undertaken by nodes during population bursts, with these roles aligning with average spike ordering and becoming regularly locked-in once established.
Article
Neurosciences
Clement M. Garin, Nachiket A. Nadkarni, Brigitte Landeau, Gael Chetelat, Jean-Luc Picq, Salma Bougacha, Marc Dhenain
Summary: This study presents the first functional atlas of the mouse lemur brain and describes its cerebral networks for the first time, revealing both similarities and differences between mouse lemur and human brain networks. Mouse lemur high-level cortical networks were found to be similar to human networks, but not homologous.
Article
Neurosciences
Elliz P. Scheijbeler, Anne M. van Nifterick, Cornelis J. Stam, Arjan Hillebrand, Alida A. Gouw, Willem de Haan
Summary: This study aimed to find network-level biomarkers for neuronal dysfunction in the early stage of Alzheimer's disease (AD). The results showed reduced nonlinear connectivity in the theta and alpha bands and increased theta band entropy in mild cognitive impairment (MCI) subjects, as measured by inverted joint permutation entropy (JPE(inv)) and permutation entropy (PE). The logistic regression model trained on JPE(inv) features slightly outperformed the models based on PE and relative theta power in the classification of MCI versus subjective cognitive decline (SCD) subjects, suggesting the potential of JPE(inv) as a biomarker for early-stage AD.
NETWORK NEUROSCIENCE
(2022)
Article
Neurosciences
Tianyi Yan, Gongshu Wang, Li Wang, Tiantian Liu, Ting Li, Luyao Wang, Duanduan Chen, Shintaro Funahashi, Jinglong Wu, Bin Wang, Dingjie Suo
Summary: Researchers combined task-evoked activation and resting-state functional connectivity analysis to investigate the information transfer mechanism of episodic memory. They found that the patterns and functions of information transfer differed between encoding and retrieval, and that information transfer was a better predictor of memory ability. Additionally, they discovered that structural connectivity played a key role in information transfer.
Article
Business, Finance
Chun-Xiao Nie
Summary: This study examines the dynamics of information flow between sector indices in the Chinese market. The analysis reveals that the effective transfer entropy matrix is time-varying and stable in most periods, with a few critical events strongly influencing the information flow dynamics. The IS-analysis indicates that abnormal IS values coincide with high market volatility and significant events. Particularly, the dominant information source undergoes drastic changes over time in the sequence of information flow networks, indicating the volatility of the dominant sector.
FINANCE RESEARCH LETTERS
(2023)
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
Neurosciences
Felicha T. Candelaria-Cook, Isabel Solis, Megan E. Schendel, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen
Summary: Neural oscillations are sensitive to brain maturation and developmental changes. This study examined reliability in typically developing children and adolescents over a period of 2.25 years, finding sex-specific differences and correlations with brain structure.
Article
Oncology
Florien W. Boele, Patricia W. M. den Otter, Jaap C. Reijneveld, Philip C. de Witt Hamer, Hinke F. van Thuijl, Linda M. C. Lorenz, Pieter Wesseling, Frank J. Lagerwaard, Martin J. B. Taphoorn, Mathilde C. M. Kouwenhoven, Tom J. Snijders, Linda Douw, Martin Klein
Summary: HRQOL and NCF do not appear greatly impacted during long-term survivorship in LGG, but depressive symptoms and fatigue are persistent.
Article
Clinical Neurology
Myrte Strik, Anand J. C. Eijlers, Iris Dekker, Tommy A. A. Broeders, Linda Douw, Joep Killestein, Scott C. Kolbe, Jeroen J. G. Geurts, Menno M. Schoonheim
Summary: This study investigated the functional network predictors and longitudinal network changes related to upper and lower limb progression in multiple sclerosis (MS). The results showed that upper and lower limb progression had unique predictors, possibly indicating different network disturbances underlying these types of progression in MS.
MULTIPLE SCLEROSIS JOURNAL
(2023)
Article
Clinical Neurology
Karen S. Ambrosen, Fanny Fredriksson, Simon Anhoj, Nikolaj Bak, Edwin Van Dellen, Livia Dominicus, Cecilie K. Lemvigh, Mikkel E. Sorensen, Mette O. Nielsen, Kirsten B. Bojesen, Birgitte Fagerlund, Birte Y. Glenthoj, Bob Oranje, Lars K. Hansen, Bjorn H. Ebdrup
Summary: This study used data-driven machine learning based on resting-state electroencephalography to analyze functional connectivity within the Default Mode Network in antipsychotic-naive patients with first-episode schizophrenia. The patients were divided into different subtypes, and their psychopathological and cognitive profiles were examined. The results supported the existence of biological subgroups in schizophrenia and provided a feasible method for identifying early pathological patterns in this syndrome.
EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE
(2023)
Article
Neuroimaging
Marike R. R. van Lingen, Lucas C. C. Breedt, Jeroen J. G. Geurts, Arjan Hillebrand, Martin Klein, Mathilde C. M. Kouwenhoven, Shanna D. D. Kulik, Jaap C. C. Reijneveld, Cornelis J. J. Stam, Philip C. C. De Witt Hamer, Mona L. M. Zimmermann, Fernando A. N. Santos, Linda Douw
Summary: This study found that frontoparietal network centrality of multilayer networks is related to and predicts executive functioning in glioma patients, but it does not predict postoperative changes in executive functioning.
BRAIN IMAGING AND BEHAVIOR
(2023)
Article
Clinical Neurology
C. J. Stam, A. M. van Nifterick, W. de Haan, A. A. Gouw
Summary: Network hyperexcitability (NH) is an important feature of Alzheimer's disease, and functional connectivity (FC) has been proposed as a potential biomarker for NH. In this study, a whole brain computational model was used to investigate the relationship between hyperexcitability and FC, and it was found that FC is sensitive to changes in E/I balance.
Review
Biochemistry & Molecular Biology
Florian W. Adraoui, Linda Douw, Gerard J. M. Martens, Dorien A. Maas
Summary: Schizophrenia is a devastating psychiatric disorder that affects approximately 1% of the global population. Social-cognitive impairments and abnormalities in brain activity and connectivity contribute to the development of symptoms. The molecular mechanisms underlying these impairments are still not well understood. This study proposes impaired myelination and disinhibition of local microcircuits as potential biological pathways leading to dysconnectivity and abnormal activity in the social brain, and suggests using electroencephalography as a translational technique for pre-clinical drug development.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Clinical Neurology
Julia Van der A, Jesca E. De Jager, Edwin van Dellen, Rene C. W. Mandl, Metten Somers, Marco P. M. Boks, Iris E. C. Sommer, Jasper O. Nuninga
Summary: This study investigated the association between hippocampal structural changes and cognitive decline after electroconvulsive therapy (ECT) in patients with major depression. The results showed that volume increase in hippocampal subfields, as well as changes in perfusion and diffusion, were correlated with decreases in cognitive functioning. Due to methodological restrictions, neuroplasticity was indirectly measured using MRI. Therefore, the study suggests that neuroplastic processes may affect cognitive processes after ECT.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Multidisciplinary Sciences
Ya Chai, Philip Gehrman, Meichen Yu, Tianxin Mao, Yao Deng, Joy Rao, Hui Shi, Peng Quan, Jing Xu, Xiaocui Zhang, Hui Lei, Zhuo Fang, Sihua Xu, Elaine Boland, Jennifer R. Goldschmied, Holly Barilla, Namni Goel, Mathias Basner, Michael E. Thase, Yvette I. Sheline, David F. Dinges, John A. Detre, Xiaochu Zhang, Hengyi Rao
Summary: Sleep loss can disrupt mood regulation in healthy individuals but may have an antidepressant effect for some depressed patients. This study found that the amygdala and the dorsal nexus play important roles in mood regulation, and the connectivity between the amygdala and the anterior cingulate cortex is associated with mood changes after sleep deprivation.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Review
Psychiatry
Silvia Ciampelli, Janna N. de Boer, Alban E. Voppel, Hugo Corona Hernandez, Sanne G. Brederoo, Edwin van Dellen, Natalia B. Mota, Iris E. C. Sommer
Summary: In this study, network analysis was used to examine syntactic relations in patients with schizophrenia-spectrum disorders (SSD) and healthy controls, revealing significant differences between the two groups. Factors such as age, sex, and education level were found to have significant effects on syntactic features, and there was a significant interaction between sex and group. Syntactic measures were correlated with symptoms and cognitive functioning, and a random forest classifier based on the best set of network features achieved 74% accuracy in distinguishing patients from controls. These findings suggest the validity of linguistic network analysis as a potential marker for SSD.
SCHIZOPHRENIA BULLETIN
(2023)
Letter
Psychiatry
Ilona van de Meent, Arija Maat, Mikel Boute, Edwin van Dellen, Wiepke Cahn
SCHIZOPHRENIA RESEARCH
(2023)
Review
Behavioral Sciences
Ya Chai, Yvette I. Sheline, Desmond J. Oathes, Nicholas L. Balderston, Hengyi Rao, Meichen Yu
Summary: The review discusses the use of functional connectomics in understanding variations in brain networks in depression and its treatment outcomes, proposing a hypothetical model for the advantages and uniqueness of each treatment method. It also explores the potential of combining multiple treatment types and using multisite datasets and multimodal neuroimaging approaches in clinical practice to identify biological depression subtypes.
TRENDS IN COGNITIVE SCIENCES
(2023)
Article
Multidisciplinary Sciences
Anne M. van Nifterick, Danique Mulder, Denise J. Duineveld, Marina Diachenko, Philip Scheltens, Cornelis J. Stam, Ronald E. van Kesteren, Klaus Linkenkaer-Hansen, Arjan Hillebrand, Alida A. Gouw
Summary: This study found a disrupted neuronal excitation-inhibition (E-I) balance in patients with Alzheimer's disease (AD), particularly in those with AD dementia, but not in patients with subjective cognitive decline or mild cognitive impairment. Furthermore, the study revealed that a lower E-I balance was associated with worse cognitive scores in AD dementia patients. Additional research is needed to validate the markers used in this study and to identify more indicators of E-I balance.
SCIENTIFIC REPORTS
(2023)
Article
Business, Finance
Santiago Carbo-Valverde, Oliver Rehbein
Summary: This paper examines changes in firm-bank relationships in the context of bank mergers. The study finds that firms are less likely to switch banks but more likely to drop their bank relationships after mergers. Importantly, relationship drops are more likely in less competitive environments. If mergers lead to decreased competition, the ongoing consolidation wave in the banking industry may result in increasingly harmful bank-firm relationship drops. Furthermore, firms that are more creditworthy are more likely to switch banks and less likely to drop their bank relationships.
FINANCE RESEARCH LETTERS
(2023)
Article
Psychiatry
Yuri van der Does, Rosanne J. Turner, Miel J. H. Bartels, Karin Hagoort, Aaron Metselaar, Floortje Scheepers, Peter D. Grunwald, Metten Somers, Edwin van Dellen
Summary: We developed and tested a Bayesian network model to predict ECT remission for depression. We used clinically available predictors and a dataset of clinical ECT trajectories to train the model. The model showed reasonable performance in predicting remission after temporal validation.
PSYCHIATRY RESEARCH
(2023)
Article
Pharmacology & Pharmacy
Vera Belgers, Jantine G. Rottgering, Linda Douw, Martin Klein, Johannes C. F. Ket, Peter M. van de Ven, Thomas Wurdinger, Myra E. van Linde, Johanna M. Niers, Markus Weber, Marcel G. Olde Rikkert, Jose Lopez-Sendon, Oscar Arrieta, Kristina B. Svendsen, Marcos H. N. Chagas, Carlos M. O. de Almeida, Mathilde C. M. Kouwenhoven, Philip C. de Witt Hamer
Summary: This meta-analysis suggests that cannabinoids do not have a significant effect on HRQoL and mental well-being in patients with cancer or CNS disease.
CANNABIS AND CANNABINOID RESEARCH
(2023)