Article
Clinical Neurology
Matteo Conti, Roberta Bovenzi, Elena Garasto, Tommaso Schirinzi, Fabio Placidi, Nicola B. Mercuri, Rocco Cerroni, Mariangela Pierantozzi, Alessandro Stefani
Summary: In early stages of Parkinson's disease, alterations in EEG functional connectivity were observed, characterized by reduced connectivity in α-β frequency bands, increased connectivity in the γ band, and differences in assortativity coefficient. Network measures analysis helps to understand the complexity of Parkinson's disease physiopathology.
FRONTIERS IN NEUROLOGY
(2022)
Article
Neurosciences
Sepehr Shirani, Maryam Mohebbi
Summary: This study investigates the effects of MS on the brain's functional connectivity network using EEG resting-state signals and graph theory approach. The results indicate lower cortical activity in the alpha frequency bands and higher activity in the gamma frequency bands for patients with RRMS. Additionally, the functional brain network in RRMS cases shows a higher diameter, global efficiency, and transitivity in certain frequency bands.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Haneen Alsuradi, Wanjoo Park, Mohamad Eid
Summary: This study investigates the underlying neural networks associated with processing haptic delay in both passive and active haptic interactions. Results suggest that haptic delay significantly affects brain network characteristics, with increased connectivity between the middle central region and the parietal and occipital regions. This may indicate the detection of conflicting visuo-haptic information at the middle central region and their resolution and integration at the parietal and occipital regions.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Carlos Alberto Stefano Filho, Romis Attux, Gabriela Castellano
Summary: The use of motor imagery (MI) in motor rehabilitation has potential to enhance traditional treatments, with appropriate training being crucial to benefit from it. Assessing underlying neural changes due to feedback or MI practice remains challenging, with actual neurofeedback impacting functional connectivity (FC) by disrupting common inter-subject patterns. MI practice stimulates visual information processing mechanisms, particularly during resting-state brain activity.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Geriatrics & Gerontology
Ying Shen, Qian Lu, Tianjiao Zhang, Hailang Yan, Negar Mansouri, Karol Osipowicz, Onur Tanglay, Isabella Young, Stephane Doyen, Xi Lu, Xia Zhang, Michael E. Sughrue, Tong Wang
Summary: This study utilized the machine learning technique HoTS to diagnose mild cognitive impairment and subjective cognitive decline, and investigated the neural network features associated with cognitive decline. The results showed that the language networks were most notably associated with the diagnosis, and several central networks and sensory brain regions were predictors of poor cognitive performance.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Neuroimaging
Ting Li, Bin Wang, Yuan Gao, Xin Wang, Ting Yan, Jie Xiang, Yan Niu, Tiantian Liu, Duanduan Chen, Boyan Fang, Yunyan Xie, Shintaro Funahashi, Tianyi Yan
Summary: The years of education have significant effects on the topological properties of the functional network, especially in individuals without the APOE ε4 allele. These effects diminish in individuals with the ε4 allele and decrease as Alzheimer's disease progresses.
BRAIN IMAGING AND BEHAVIOR
(2021)
Article
Neurosciences
Maryam Ghanbari, Guoshi Li, Li-Ming Hsu, Pew-Thian Yap
Summary: Brain wiring redundancy counteracts aging-related cognitive decline by reserving additional communication channels as a neuroprotective mechanism. This mechanism plays an important role in maintaining cognitive function in early stages of neurodegenerative disorders like Alzheimer's disease (AD). Identifying MCI individuals is crucial for early intervention since they are at high risk of developing AD.
HUMAN BRAIN MAPPING
(2023)
Article
Clinical Neurology
Christoffer Hatlestad-Hall, Ricardo Bruna, Marte Roa Syvertsen, Aksel Erichsen, Vebjorn Andersson, Fabrizio Vecchio, Francesca Miraglia, Paolo M. Rossini, Hanna Renvall, Erik Tauboll, Fernando Maestu, Ira H. Haraldsen
Summary: This study investigated functional network alterations in focal epilepsy patients with good seizure control and high quality of life. Results showed significantly increased small world index in patients compared to controls, along with a shift towards greater alpha band hubness in two left-hemisphere regions. These findings suggest that functional network analysis could be clinically relevant for epilepsy.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Neurosciences
Xi Yang, Xinqi Zhou, Fei Xin, Benjamin Becker, David Linden, Dennis Hernaus
Summary: Age-related changes in brain function have an important role in neurodegenerative diseases. Previous studies have mainly focused on static functional connectivity, but emerging evidence suggests that aging is associated with dynamic changes in brain interactions and transitions. This study replicates the finding of age-associated changes in dynamic functional connectivity using fMRI data from two cultures (Western European and Chinese). Older participants consistently exhibit a lower occurrence and duration of a specific connectivity state (state I) compared to younger participants, as well as more transitions between networks and greater variance in global efficiency.
Article
Neurosciences
Dmitrii Altukhov, Daria Kleeva, Alexei Ossadtchi
Summary: Functional connectivity is important for cognitive processes and can indicate neurological conditions. The PSIICOS method is introduced in this paper to suppress volume conduction effect and retain information about networks with zero or close to zero-phase coupling. The use of this method in connectivity estimation opens up new opportunities for principled estimators.
Article
Neurosciences
Qian Ding, Shunxi Zhang, Songbin Chen, Jixiang Chen, Xiaotong Li, Junhui Chen, Yuan Peng, Yujie Chen, Kang Chen, Guiyuan Cai, Guangqing Xu, Yue Lan
Summary: Using resting-state EEG, this study found that active iTBS significantly increased interhemispheric functional connectivity and global efficiency in stroke survivors, suggesting its potential to normalize brain network functioning after stroke, which can be utilized in stroke rehabilitation.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
N. P. Guhan Seshadri, B. Geethanjali, Bikesh Kumar Singh
Summary: This study used electroencephalogram to investigate the functional changes in brain networks of dyslexic children during arithmetic task performance. The findings showed differences in task accuracy and brain connectivity between dyslexic and normally developing children.
COGNITIVE NEURODYNAMICS
(2022)
Article
Chemistry, Analytical
Vasileios-Rafail Xefteris, Athina Tsanousa, Nefeli Georgakopoulou, Sotiris Diplaris, Stefanos Vrochidis, Ioannis Kompatsiaris
Summary: This study proposed a method of integrating EEG and peripheral physiological signals for emotion recognition. By graph theoretical analysis of EEG functional connectivity patterns and combining with peripheral physiological signals, emotion recognition was performed using different classifiers and CNN. Results showed that the accuracy significantly increased after using feature selection algorithm, surpassing the current state-of-the-art results.
Article
Engineering, Biomedical
P. Modares-Haghighi, R. Boostani, M. Nami, S. Sanei
Summary: This study presents a method for distinguishing pain levels using EEG signals, achieving 92% accuracy in differentiating between pain and no-pain states. By analyzing brain connectivity graphs features, a bio-inspired decision tree was used for classification, with 86% accuracy for five pain classes. The results also demonstrated robustness against noise at different signal-to-noise ratio levels.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Neurosciences
Lina Ismail, Waldemar Karwowski, Farzad V. V. Farahani, Mahjabeen Rahman, Ashraf Alhujailli, Raul Fernandez-Sumano, P. A. Hancock
Summary: This study investigates the changes in brain network topology during different levels of physical exertion. The results show that high-level force exertions are associated with brain networks characterized by higher clustering coefficients, greater modularity, higher global efficiency, and less distance synchronization.
Article
Physics, Multidisciplinary
Heng Jie Choong, Eun-jin Kim, Fei He
Summary: The quantification of causality is crucial for understanding various important phenomena in nature and laboratories. This study proposes an alternative approach called information rate causality based on information geometry to overcome the limitations of traditional methods in non-linear, non-stationary data, or non-parametric models.
Editorial Material
Ethics
Alistair Wardrope, Simon Bell, Daniel Blackburn, Jon Dickson, Markus Reuber, Traci Walker
JOURNAL OF MEDICAL ETHICS
(2023)
Article
Biochemistry & Molecular Biology
Catherine J. Mummery, Anne Borjesson-Hanson, Daniel J. Blackburn, Everard G. B. Vijverberg, Peter Paul De Deyn, Simon Ducharme, Michael Jonsson, Anja Schneider, Juha O. Rinne, Albert C. Ludolph, Ralf Bodenschatz, Holly Kordasiewicz, Eric E. Swayze, Bethany Fitzsimmons, Laurence Mignon, Katrina M. Moore, Chris Yun, Tiffany Baumann, Dan Li, Daniel A. Norris, Rebecca Crean, Danielle L. Graham, Ellen Huang, Elena Ratti, C. Frank Bennett, Candice Junge, Roger M. Lane
Summary: By inhibiting MAPT expression with a tau-targeting antisense oligonucleotide (MAPTRx), researchers were able to reduce tau levels in patients with mild Alzheimer's disease. A randomized, double-blind trial found that the CSF total-tau protein concentration decreased by more than 50% in patients treated with MAPTRx, with mild adverse effects reported.
Review
Mathematical & Computational Biology
Peng Li, Richard van Wezel, Fei He, Yifan Zhao, Ying Wang
Summary: Parkinson's disease (PD) is a widespread neurodegenerative disorder that presents challenges for timely diagnosis. Wrist-worn digital devices, particularly smartwatches, are popular tools in PD research due to their convenience for long-term monitoring. However, the value of wrist-worn sensing devices for daily practice is still uncertain.
FRONTIERS IN NEUROINFORMATICS
(2023)
Article
Neurosciences
Rajintha Gunawardena, Ptolemaios G. Sarrigiannis, Daniel J. Blackburn, Fei He
Summary: Dynamical causal and cross-frequency coupling analysis using EEG has gained attention for diagnosing neurological disorders. Developing a measure of similarity is crucial for functional connectivity analysis and channel selection. In this study, kernel-based nonlinear manifold learning is used to learn similarity information within the EEG, and the resulting similarity matrix is used to measure linear and nonlinear functional connectivity between EEG channels. The analysis of EEG from healthy controls and patients with Alzheimer's disease shows significant differences in functional connectivity and highlights the importance of specific channel changes in diagnosing AD. The results are consistent with previous studies using fMRI, resting-state fMRI, and EEG.
Article
Audiology & Speech-Language Pathology
Gareth Walker, Nathan Pevy, Ronan O'Malley, Bahman Mihrheidari, Markus Reuber, Heidi Christensen, Daniel J. Blackburn
Summary: Previous research has shown that speech patterns can distinguish between individuals with neurodegenerative disorders and healthy controls. This study examined speech patterns in responses to questions asked by an intelligent virtual agent and found that measures such as response length, speech rate, and pausing can help to distinguish between different diagnostic groups.
CLINICAL LINGUISTICS & PHONETICS
(2023)
Article
Remote Sensing
Ibnu F. Kurniawan, Fei He, Iswan Dunggio, Marini S. Hamidun, Zulham Sirajuddin, Muhammad Aziz, A. Taufiq Asyhari
Summary: Remote sensing technologies are crucial for supporting ecological strategies of policy-makers. This study contributes to the field by providing an aerial dataset and developing an intelligent tree-detection system for counting trees with bioenergy potential. However, imbalanced class distribution in the dataset can impact model performance. The study proposes data-level approaches to address this issue and improves the training process and object detection metrics.
REMOTE SENSING LETTERS
(2023)
Editorial Material
Neurosciences
Shu-Qiang Wang, Zhiguo Zhang, Fei He, Yong Hu
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Marios Hadjivassiliou, Daniel Blackburn, Ronan O'Malley, Nigel Hoggard
Summary: We report a male patient with cerebellar ataxia and behavioural frontotemporal dementia, accompanied by cerebellar atrophy detected on imaging. The MR spectroscopy of the cerebellum revealed significantly low N-acetyl aspartate to creatine (NAA/Cr) area ratio, mainly affecting the vermis. CT body scan showed abnormal tissue in the mesentery, retroperitoneum, and perinephric areas. PET-CT showed increased tracer uptake in the aortic wall and perinephric tissue, suggestive of aortitis. Biopsy confirmed IgG4 disease in the perinephric tissue. Treatment with steroids and mycophenolate improved the patient's condition, but complications arose from pericardiac effusion, leading to further interventions. After a course of rituximab, the patient developed sepsis that proved unresponsive to treatment and ultimately resulted in death. The combination of imaging findings and the neurological presentation of cerebellar ataxia and behavioural frontotemporal dementia are rare in the context of IgG4 disease.
Article
Biology
Jun Cao, Lichao Yang, Ptolemaios Georgios Sarrigiannis, Daniel Blackburn, Yifan Zhao
Summary: Alzheimer's disease and Parkinson's disease are common neurodegenerative diseases. Effective brain connectivity has the potential for disease diagnosis. This study proposes a novel directed structure learning GNN model that combines brain connectivity estimations and graph neural network techniques for dementia diagnosis, achieving promising results.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Energy & Fuels
Miao Lin Pay, Jesper Christensen, Fei He, Laura Roden, Hafiz Ahmed, Mathias Foo
Summary: This paper proposes an innovative control method for boost PFC converter in controlled environment farming, which improves the efficiency of LED lights, reduces harmonic distortion, and lowers operational cost.
RENEWABLE ENERGY FOCUS
(2023)
Article
Neurosciences
Yang He, Jun Tang, Meng Zhang, Junjie Ying, Dezhi Mu
Summary: This study investigated the protective effects and mechanisms of human placenta derived mesenchymal stem cells (hPMSCs) transplantation in a rat model of hypoxic-ischemic encephalopathy (HIE). The results showed that hPMSCs transplantation reduced apoptosis and improved long-term neurological prognosis. Furthermore, the downregulation of Sema 3A/NRP-1 expression and activation of the PI3K/Akt/mTOR signaling pathway played a key role in the protective effects of hPMSCs.
Article
Neurosciences
Emily L. Isenstein, Edward G. Freedman, Jiayi Xu, Ian A. DeAndrea-Lazarus, John J. Foxe
Summary: This study evaluated electrophysiological discrimination of parametric somatosensory stimuli in healthy young adults to understand how the brain processes the duration of tactile information. The results showed that participants did not electrophysiologically discriminate between 100 and 115 ms, but they exhibited distinct electrophysiological responses when the deviant stimuli were 130, 145, and 160 ms. These findings contribute to a better understanding of tactile sensitivity in different clinical conditions.
Article
Neurosciences
Juliana R. Souza, Ludmila Lima-Silveira, Daniela Accorsi-Mendonca, Benedito H. Machado
Summary: This study demonstrates that A2A receptors play a crucial role in modulating synaptic transmission in the NTS neurons and are required for the enhancement of glutamatergic transmission observed under short-term sustained hypoxia conditions.
Article
Neurosciences
Miki Hashizume, Rina Ito, Rie Suge, Yasushi Hojo, Gen Murakami, Takayuki Murakoshi
Summary: The basolateral amygdaloid complex (BLA) is closely involved in the formation of emotional memories, including both aversive memory and contextual fear memory. Acute sleep deprivation (SD) disrupts the acquisition of tone-associated fear memory in juvenile rats, but has no significant effect on contextual fear memory. Slow network oscillation in the amygdala contributes to the formation of amygdala-dependent fear memory in relation to sleep.
Article
Neurosciences
Qunxian Wang, Shipeng Guo, Dongjie Hu, Xiangjun Dong, Zijun Meng, Yanshuang Jiang, Zijuan Feng, Weihui Zhou, Weihong Song
Summary: GSDME plays a crucial role in the pathogenesis of Alzheimer's disease by regulating the switch from apoptosis to pyroptosis and participating in neuroinflammatory response. Knockdown of GSDME has been shown to improve cognitive impairments, indicating that GSDME could be a therapeutic target for Alzheimer's disease.
