Article
Medicine, General & Internal
Ji-Won Hur, Taekwan Kim, Kang Ik K. Cho, Jun Soo Kwon
Summary: Exploring disruptions in intrinsic resting-state networks in schizophrenia-spectrum disorders provides insight into disease-specific pathophysiology. This study investigated abnormalities in RSNs in schizotypal personality disorder (SPD) and found impaired large-scale intrinsic brain networks in individuals with SPD, correlating with cognitive-perceptual deficits and social functioning impairments.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Neurosciences
Anita D. Barber, Catherine E. Hegarty, Martin Lindquist, Katherine H. Karlsgodt
Summary: Recent research has shown that evaluating connectivity changes across time can provide valuable insight about the inherent dynamic nature of brain function. Results indicate that dynamic connectivity in the brain has a moderate level of heritability at the genetic level, particularly with greater heritability for dynamic variance compared to either dynamic mean or static connectivity.
Article
Neurosciences
Serafeim Loukas, Lara Lordier, Djalel-Eddine Meskaldji, Manuela Filippa, Joana Sa de Almeida, Dimitri Van de Ville, Petra S. Hueppi
Summary: Research indicates that even during the newborn period, familiar music and unfamiliar music are processed differently by the brain. After music listening, functional connectivity between brain regions in all newborns is modulated. Premature infants exposed to music experience enhanced functional connectivity between brain regions after listening to music.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Luke Tait, Jiaxiang Zhang
Summary: EEG microstate analysis is a method for studying brain states and transitions, but it is limited in its use at the sensor level. This study generalized the microstate methodology to source-reconstructed electrophysiological data and identified ten microstates with distinct spatial distributions. The study also found that source-level microstates were associated with different functional connectivity patterns.
Article
Engineering, Multidisciplinary
Sarah Leviashvili, Yael Ezra, Amgad Droby, Hao Ding, Sergiu Groppa, Anat Mirelman, Muthuraman Muthuraman, Inbal Maidan
Summary: The study found reduced connectivity in the Central Executive Network (CEN) and Dorsal Attention Network (DAN) in Parkinson's disease patients, while increased connectivity was observed in the Ventral Attention Network (VAN). These results indicate a complex pattern of DFC alteration within major brain networks, reflecting the co-occurrence of impairment and compensatory mechanisms processes taking place in PD.
Article
Behavioral Sciences
Takashi Itahashi, Neda Kosibaty, Ryu-Ichiro Hashimoto, Yuta Y. Aoki
Summary: Better life satisfaction can be predicted from intrinsic functional connectivity, as shown by using resting-state functional magnetic resonance imaging data. The model successfully predicted life satisfaction levels in young adults and contributed towards identifying the neural basis of life satisfaction.
BRAIN AND BEHAVIOR
(2021)
Article
Neurosciences
Michael W. Cole, Takuya Ito, Carrisa Cocuzza, Ruben Sanchez-Romero
Summary: Resting-state functional connectivity provides insights into brain network organization, but the functional importance of task-related changes remains unclear. Task-state functional connectivity can predict cognitive task activations better, driven by individual-specific functional connectivity patterns. These findings suggest task-related changes play a role in reshaping brain network organization and altering neural activity flow during task performance.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Neurosciences
Shuntaro Sasai, Takahiko Koike, Sho K. Sugawara, Yuki H. Hamano, Motofumi Sumiya, Shuntaro Okazaki, Haruka K. Takahashi, Gentaro Taga, Norihiro Sadato
Summary: The study used fast fMRI to investigate shifts in brain-wide neural coherence during different task states in the ultraslow frequency range. Through clustering analysis, four frequency bands were identified to show band-specific shifts of neural coherence. The study also found that regions with similar spectra formed functional modules of the brain network, with specific shifting patterns of coherence observed in different frequency bands.
Article
Neurosciences
Dan Zhang, Zai-Long Zhou, Ting Xing, Mei-Yu Zhou, Ye-Ming Wan, Shu-Chen Chang, Ya-Li Wang, Hai-Hua Qian
Summary: This study found significant alterations in brain structure and function in patients with FCon compared to healthy controls. The decreased interactive connectivity between brain networks, particularly those related to visual perception, suggests the importance of interoceptive abilities, emotion processing, and sensorimotor control in FCon. These findings have important implications for the development of new treatment strategies for FCon.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Tiantian Liu, Li Wang, Dingjie Suo, Jian Zhang, Kexin Wang, Jue Wang, Duanduan Chen, Tianyi Yan
Summary: This study aimed to examine the dynamic variations in brain network coactivation and deactivation across the adult lifespan using resting-state functional MRI. The results showed that aging was associated with reduced coactivation and deactivation, as well as the emergence and persistence of negative correlation patterns between high-order cognitive networks. Additionally, there was a transition from the attentional network and default mode network coactivation to the attentional network and frontoparietal network coactivation with aging.
Article
Psychiatry
S. Krug, T. Mueller, Oe Kayali, E. Leichter, S. K. Peschel, N. Jahn, L. Winter, T. H. C. Krueger, K. G. Kahl, C. Sinke, I Heitland
Summary: This study examined the functional connectivity of brain networks in major depressive disorder (MDD) patients and found altered connectivity between the hippocampus and the anterior cingulate cortex (ACC) as well as between the insula and the ACC. Additionally, the connectivity between the inferior parietal lobule (IPL) and the superior frontal gyrus (SFG) was also affected.
JOURNAL OF PSYCHIATRIC RESEARCH
(2022)
Article
Neurosciences
Xin Hao, Taicheng Huang, Yiying Song, Xiangzhen Kong, Jia Liu
Summary: The study reveals age-related changes in the navigation network organization, with increasing modularity under resting-state and increasing flexibility under task-state. Task-modulated FC changes were found to be greater in adults than in children, suggesting differences in network organization between age groups during tasks.
Article
Clinical Neurology
John R. Younce, Meghan C. Campbell, Tamara Hershey, Aaron B. Tanenbaum, Mikhail Milchenko, Mwiza Ushe, Morvarid Karimi, Samer D. Tabbal, Albert E. Kim, Abraham Z. Snyder, Joel S. Perlmutter, Scott A. Norris
Summary: Resting-state functional connectivity MRI may predict motor response to subthalamic nucleus deep brain stimulation, with stronger connectivity between the left subthalamic nucleus and ipsilateral internal globus pallidus correlating with greater improvement in postsurgical motor outcomes. The integrity of pallidal-subthalamic nucleus circuits may be critical to motor benefits from deep brain stimulation.
MOVEMENT DISORDERS
(2021)
Article
Neurosciences
Han Jin, Ri-Bo Chen, Yu-Lin Zhong, Ping-Hong Lai, Xin Huang
Summary: This study revealed that patients with comitant exotropia have abnormal brain networks. These findings provide important insights into the neural mechanisms of eye movements and stereoscopic vision dysfunction in patients with comitant exotropia.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Clinical Neurology
Jifei Sun, Yue Ma, Chunlei Guo, Zhongming Du, Limei Chen, Zhi Wang, Xiaojiao Li, Ke Xu, Yi Luo, Yang Hong, Xue Yu, Xue Xiao, Jiliang Fang, Jie Lu
Summary: This study found abnormal functional connectivity (FC) in four brain networks (DMN, AN, SN, CCN) in both patients with treatment-resistant depression (TRD) and non-TRD (nTRD). FC alterations in the affective network (AN) and cognitive control network (CCN) were more severe in the TRD group compared to the nTRD group. Additionally, specific brain regions' FC values were positively correlated with clinical symptoms.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2023)
Article
Mathematics, Applied
Philipp Hoevel, Aline Viol, Philipp Loske, Leon Merfort, Vesna Vuksanovic
JOURNAL OF NONLINEAR SCIENCE
(2020)
Article
Neurosciences
Helen Shiells, Bjoern O. Schelter, Peter Bentham, Thomas C. Baddeley, Christopher M. Rubino, Harish Ganesan, Jeffrey Hammel, Vesna Vuksanovic, Roger T. Staff, Alison D. Murray, Luc Bracoud, Damon J. Wischik, Gernot Riedel, Serge Gauthier, Jianping Jia, Hans J. Moebius, Jiri Hardlund, Christopher M. Kipps, Karin Kook, John M. D. Storey, Charles R. Harrington, Claude M. Wischik
JOURNAL OF ALZHEIMERS DISEASE
(2020)
Article
Mathematics, Applied
Markus Galler, Kathy Luedge, Rory Humphries, Kieran Mulchrone, Philipp Hoevel
Summary: BVD is a complex disease in cattle with transmission primarily from asymptomatic persistently infected hosts, making control challenging. Research suggests that identification and removal of persistently infected animals is an effective control strategy, especially when transmission rate of transiently infected animals is low.
Article
Public, Environmental & Occupational Health
Patricia M. Kearney, Mary Spillane, Rory Humphries, Alannah Gannon, Danko Stamenic, Cliodhna Ni Bhuachalla, Philipp Hoevel, Ella Arensman, Micheal O'Riordain, M. Isabela Troya, Ali S. Khashan, Eilis O'Reilly, Claire Buckley, Lois O'Connor, Ivan J. Perry
Summary: This study investigates compliance with travel restrictions and mask wearing during the early stages of the COVID-19 pandemic in Ireland. The findings show high compliance with travel restrictions and early adoption of mask use before it was mandated by national policy or legislation.
JOURNAL OF PUBLIC HEALTH
(2023)
Article
Mathematics, Applied
Andrew Keane, Alannah Neff, Karen Blaha, Andreas Amann, Philipp Hoevel
Summary: In this study, clustering patterns in a system of coupled oscillators are investigated using electrochemical oscillators. The experiment reveals both primary and secondary clustering patterns, with the latter showing different phase differences. The mathematical model of the electrochemical oscillators is revisited to explore the stability and transitions between the experimentally observed cluster states.
Article
Engineering, Electrical & Electronic
Claudia Lenk, Philipp Hoevel, Kalpan Ved, Steve Durstewitz, Thomas Meurer, Tobias Fritsch, Andreas Maennchen, Jan Kueller, Daniel Beer, Tzvetan Ivanov, Martin Ziegler
Summary: This article discusses a bio-inspired acoustic sensor with integrated signal processing functionality, which can adaptively adjust its sensing and processing properties in low signal-to-noise ratio and changing acoustic environments to improve the detection of signals in noisy conditions.
NATURE ELECTRONICS
(2023)
Article
Mathematics, Interdisciplinary Applications
Aline Viol, Gandhimohan M. Viswanathan, Oleksandra Soldatkina, Fernanda Palhano-Fontes, Heloisa Onias, Draulio de Araujo, Philipp Hoevel
Summary: By comparing resting-state functional brain networks before and after ingestion of Ayahuasca, it is found that the psychedelic brew increases information similarity between brain regions, especially between the limbic system and frontal cortex. This finding suggests that Ayahuasca may enhance the statistical correlations between brain regions to maintain network resilience.
JOURNAL OF PHYSICS-COMPLEXITY
(2023)
Article
Physics, Condensed Matter
Sebastian Jenderny, Karlheinz Ochs, Philipp Hoevel
Summary: In this study, an ideal electrical circuit was developed to approximate the Hindmarsh-Rose model, resulting in reduced power consumption and improved energy efficiency compared to existing circuit realizations. The circuit replaced nonlinear elements with constant ones and approximated cubic nonlinearity using three memristors and a negative impedance converter. Simulations demonstrated that the circuit generated spiking and bursting dynamics comparable to the original Hindmarsh-Rose model.
EUROPEAN PHYSICAL JOURNAL B
(2023)
Article
Physics, Fluids & Plasmas
Fakhteh Ghanbarnejad, Kai Seegers, Alessio Cardillo, Philipp Hovel
Summary: Cooperation and competition between pathogens can influence the number of individuals affected by a coinfection. This coevolutionary model reveals the impact of the evolution of pathogen behavior on the spread of epidemics, as well as the abrupt transitions in epidemic prevalence caused by the evolution of pathogen strategies.
Article
Clinical Neurology
Vesna Vuksanovic, Roger T. Staff, Suzannah Morson, Trevor Ahearn, Luc Bracoud, Alison D. Murray, Peter Bentham, Christopher M. Kipps, Charles R. Harrington, Claude M. Wischik
Summary: Using MRI data from 213 patients with behavioral variant frontotemporal dementia, it was found that all known cortical atrophy subtypes share degeneration in core basal, limbic, and frontal network hubs that correlates with cognitive and functional impairment, regardless of subtype.
BRAIN COMMUNICATIONS
(2021)
Article
Mathematics, Applied
Seyma Bayrak, Philipp Hoevel, Vesna Vuksanovic
Summary: This study combines neuronal activity modeling and neuroimaging data-derived networks to investigate how the structural organization of the human brain affects the temporal dynamics of brain regions. Analyzing graph-theoretical properties and randomization of structural connections, the study shows that key topological network properties are distinguishable from random networks. Furthermore, the modeled BOLD activity is influenced by underlying network topology and connection strength between nodes, emphasizing the importance of anatomical connections and dynamic self-organization in the temporal evolution of resting-state activity in the human brain.
DIFFERENTIAL EQUATIONS AND DYNAMICAL SYSTEMS
(2021)
Article
Computer Science, Theory & Methods
Rory Humphries, Kieran Mulchrone, Jamie Tratalos, Simon J. More, Philipp Hovel
Summary: This study introduces a modelling framework for epidemic spreading on temporal networks, from which both individual-based and pair-based models can be derived. The proposed pair-based model is an improvement over existing edge-centric descriptions, offering a concise and simple alternative. By shifting the focus from individual-based to pair-based quantities, exact modelling of Markovian epidemic processes on temporal tree networks is possible.
APPLIED NETWORK SCIENCE
(2021)
Article
Mathematical & Computational Biology
Rory Humphries, Mary Spillane, Kieran Mulchrone, Sebastian Wieczorek, Micheal O'Riordain, Philipp Hovel
Summary: This study presents a network modelling approach to simulate the spread of SARS-CoV-2 in Ireland. By considering various scenarios and dynamic interventions, the research found that dynamic interventions can limit the impact of future outbreaks, but such a strategy may take several years until herd immunity is reached.
INFECTIOUS DISEASE MODELLING
(2021)
Article
Mathematics, Interdisciplinary Applications
Nikita Gutjahr, Philipp Hoevel, Aline Viol
Summary: Recent studies have indicated that the topological features of brain networks lead to the emergence of a Griffiths phase, which can be controlled by altering intra- and intermodular connectivity. Adjusting system parameters can counteract changes in critical behavior.
JOURNAL OF PHYSICS-COMPLEXITY
(2021)
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.