Article
Clinical Neurology
Petr Klimes, Laure Peter-Derex, Jeff Hall, Francois Dubeau, Birgit Frauscher
Summary: The spatio-temporal dynamics of interictal spikes are closely related to the extent and stability of epileptic sources, and can determine the surgical outcome. By analyzing the variance of spike rates, line length, and skewness of the spike distribution, it is possible to predict the outcome of patients more accurately.
CLINICAL NEUROPHYSIOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Clarence Tan, Marko Sarlija, Nikola Kasabov
Summary: Emotion recognition is a key challenge in the field of affective computing, and this study proposes a short-term emotion recognition framework based on spiking neural network without handcrafted EEG features. Testing on the DEAP and MAHNOB-HCI databases shows that the SNN-based EEG spiking patterns offer valuable information for short-term emotion recognition.
Review
Multidisciplinary Sciences
Andreas Christ Solvsten Jorgensen, Ciaran Scott Hill, Marc Sturrock, Wenhao Tang, Saketh R. Karamched, Dunja Gorup, Mark F. Lythgoe, Simona Parrinello, Samuel Marguerat, Vahid Shahrezaei
Summary: Mathematical oncology plays a crucial role in understanding glioblastoma and its clinical applications. By connecting mathematical models with molecular and imaging data, it provides valuable insights into tumor progression and serves as computational tools for cancer researchers.
ROYAL SOCIETY OPEN SCIENCE
(2023)
Article
Environmental Sciences
Andri Freyr Poroarson, Andreas Baum, Monica Garcia, Sergio M. Vicente-Serrano, Anders Stockmarr
Summary: In this study, EM Tucker method was used to fill missing information in NDVI images, and consistently yielded the most accurate results compared to simple mean imputation, spatio-temporal hybrid method, and iterative method based on principal component analysis across three simulated data sets.
Article
Behavioral Sciences
Allen J. Chang, Rebecca W. Roth, Ruxue Gong, Robert E. Gross, Irene Harmsen, Alexandra Parashos, Andrew Revell, Kathryn A. Davis, Leonardo Bonilha, Ezequiel Gleichgerrcht
Summary: This proof-of-concept study examined the overlap between structural and functional activity related to surgical response and found that structural networks are associated with functional activity in TLE. Patients with poor seizure control after surgery had higher synchrony between structural and functional networks, suggesting that intervention targeting these networks may be ineffective for these patients.
EPILEPSY & BEHAVIOR
(2023)
Article
Energy & Fuels
Ali Alderete Peralta, Nazmiye Balta-Ozkan, Philip Longhurst
Summary: This study investigates the spatio-temporal patterns of solar photovoltaic adoption rates using artificial neural networks as the criteria for decision-making, addressing the limitations of agent-based models. By incorporating spatial and temporal dependencies as well as social dynamics, the model yields a more realistic characterization of decision-making while utilizing ANN's approximation capabilities to generate knowledge and adapt to changing trends. Empirical validation suggests that the model can account for spatio-temporal and social dynamics with superior adaptive abilities and accurately forecast up to five months.
Article
Computer Science, Interdisciplinary Applications
Antonio Rafael Selva Castaneda, Josue Marino del Pozo, Erick Eduardo Ramirez-Torres, Eduardo Jose Roca Oria, Sorangel Bolanos Vaillant, Juan Montijano, Luis Enrique Bergues Cabrales
Summary: By extending the Gompertz equation, this study simulated the spatiotemporal behavior of anisotropic tumors and conducted a theoretical analysis. The results showed that direct current treatment is most effective for highly heterogeneous, anisotropic, aggressive, and hypodense malignant solid tumors.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2023)
Article
Ecology
Peter R. Thompson, Andrew E. Derocher, Mark A. Edwards, Mark A. Lewis
Summary: Spatial memory in animals plays a crucial role in determining their movement patterns, which can be observed by ecologists. A model has been developed to understand how animals utilize memory in their environments, allowing for an increased understanding of animal cognition. The model shows potential in identifying specific mechanisms through which animals use memory to optimize their foraging strategies.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Multidisciplinary Sciences
Zied Tayeb, Andrei Dragomir, Jin Ho Lee, Nida Itrat Abbasi, Emmanuel Dean, Aishwarya Bandla, Rohit Bose, Raghav Sundar, Anastasios Bezerianos, Nitish Thakor, Gordon Cheng
Summary: This study explores the brain's response to different thermal stimuli and successfully classifies them based on EEG patterns. The findings contribute to a better understanding of how the brain processes thermal stimuli and have potential implications for developing real-time withdrawal reaction systems in prosthetic limb interactions.
SCIENTIFIC REPORTS
(2022)
Article
Clinical Neurology
Erin C. Conrad, Andrew Y. Revell, Adam S. Greenblatt, Ryan S. Gallagher, Akash R. Pattnaik, Nicole Hartmann, James J. Gugger, Russell T. Shinohara, Brian Litt, Eric D. Marsh, Kathryn A. Davis
Summary: This study investigates the effect of sleep and seizures on interictal spike rates and uses these changes to localize the seizure-onset zone. The results show that spike rates are higher before and after seizures and during sleep, especially in non-rapid eye movement sleep, which can accurately localize the seizure-onset zone.
Article
Public, Environmental & Occupational Health
Alejandro Lome-Hurtado, Jacques Lartigue-Mendoza, Juan C. Trujillo
Summary: The research utilizes Bayesian spatio-temporal analysis to model child mortality risk in different municipalities of Greater Mexico City, finding high-risk municipalities mainly in the east with some showing an increasing trend. Some medium-risk municipalities may become high-risk in the future. Overall, there is a decreasing tendency in child mortality risk over the 7-year studied period, providing useful insights for policymakers targeting child mortality reduction.
Article
Multidisciplinary Sciences
Luca Carraro, Rosetta C. Blackman, Florian Altermatt
Summary: Due to the increasing threats to riverine ecosystems, there is a need for innovative approaches to assess biodiversity across different taxonomic groups and spatio-temporal scales. Recent advancements in using environmental DNA (eDNA) data and eDNA transport models in rivers have allowed for a comprehensive understanding of riverine biodiversity, supporting conservation efforts.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Electrical & Electronic
Heejune Sheen, Xiaonan Zhu, Yao Xie
Summary: We introduce a new discrete spatio-temporal Hawkes process model by formulating the general influence of the Hawkes process as a tensor kernel. Based on the low-rank structure assumption of the tensor kernel, we cast the estimation of the tensor kernel as a convex optimization problem using the Fourier transformed nuclear norm. The efficiency of our estimation is demonstrated with numerical simulations on synthetic data and the analysis of real-world data from Atlanta burglary incidents.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Multidisciplinary Sciences
Alvaro J. Riascos Villegas, Jose Sebastian Nungo, Lucas Gomez Tobon, Mateo Dulce Rubio, Francisco Gomez
Summary: Crime observations are crucial for designing citizens' security strategies, but the dark figure of crime caused by underreporting biases hinders accurate measurements. This study proposes a novel underreporting model based on spatiotemporal events and validates its effectiveness through simulations. The results suggest that this methodology can be used to estimate the underreporting rates of spatiotemporal events, which is essential for public policy design.
Article
Computer Science, Artificial Intelligence
Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang
Summary: This paper proposes a novel event descriptor and a local-search based multi-spike learning algorithm for encoding and learning the spatiotemporal information of event streams, achieving superior performance in classification tasks.
Review
Neurosciences
Sanjay M. Sisodiya, Christopher D. Whelan, Sean N. Hatton, Khoa Huynh, Andre Altmann, Mina Ryten, Annamaria Vezzani, Maria Eugenia Caligiuri, Angelo Labate, Antonio Gambardella, Victoria Ives-Deliperi, Stefano Meletti, Brent C. Munsell, Leonardo Bonilha, Manuela Tondelli, Michael Rebsamen, Christian Rummel, Anna Elisabetta Vaudano, Roland Wiest, Akshara R. Balachandra, Nuria Bargallo, Emanuele Bartolini, Andrea Bernasconi, Neda Bernasconi, Boris Bernhardt, Benoit Caldairou, Sarah J. A. Carr, Gianpiero L. Cavalleri, Fernando Cendes, Luis Concha, Patricia M. Desmond, Martin Domin, John S. Duncan, Niels K. Focke, Renzo Guerrini, Khalid Hamandi, Graeme D. Jackson, Neda Jahanshad, Reetta Kalviainen, Simon S. Keller, Peter Kochunov, Magdalena A. Kowalczyk, Barbara A. K. Kreilkamp, Patrick Kwan, Sara Lariviere, Matteo Lenge, Seymour M. Lopez, Pascal Martin, Mario Mascalchi, Jose C. V. Moreira, Marcia E. Morita-Sherman, Heath R. Pardoe, Jose C. Pariente, Kotikalapudi Raviteja, Cristiane S. Rocha, Raul Rodriguez-Cruces, Margitta Seeck, Mira K. H. G. Semmelroch, Benjamin Sinclair, Hamid Soltanian-Zadeh, Dan J. Stein, Pasquale Striano, Peter N. Taylor, Rhys H. Thomas, Sophia I. Thomopoulos, Dennis Velakoulis, Lucy Vivash, Bernd Weber, Clarissa Lin Yasuda, Junsong Zhang, Paul M. Thompson, Carrie R. McDonald
Summary: Epilepsy is a common and serious neurological disorder. MRI has been instrumental in advancing our understanding of epilepsy, and the ENIGMA-Epilepsy project aims to strengthen epilepsy research by increasing sample sizes and collaborating with scientists and clinicians.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Andrea McKavanagh, Barbara A. K. Kreilkamp, Yachin Chen, Christine Denby, Martyn Bracewell, Kumar Das, Christophe De Bezenac, Anthony G. Marson, Peter N. Taylor, Simon S. Keller
Summary: Patients with idiopathic generalized epilepsy (IGE) have structural alterations in brain networks, and these alterations differ between patients with refractory and nonrefractory IGE.
BRAIN CONNECTIVITY
(2022)
Article
Clinical Neurology
Peter N. Taylor, Christoforos A. Papasavvas, Thomas W. Owen, Gabrielle M. Schroeder, Frances E. Hutchings, Fahmida A. Chowdhury, Beate Diehl, John S. Duncan, Andrew W. McEvoy, Anna Miserocchi, Jane de Tisi, Sjoerd B. Vos, Matthew C. Walker, Yujiang Wang
Summary: This study investigates the detection of interictal abnormalities in intracranial EEG by constructing a normative map of brain dynamics and quantitatively accounting for the range of healthy brain dynamics. The study finds that regions spared by surgery are more abnormal than resected regions, which can differentiate patient outcomes.
Article
Neurosciences
Mariella Panagiotopoulou, Christoforos A. Papasavvas, Gabrielle M. Schroeder, Rhys H. Thomas, Peter N. Taylor, Yujiang Wang
Summary: This study analyzes continuous intracranial electroencephalographic recordings and finds fluctuations in iEEG band power over timescales ranging from minutes to 12 days. These fluctuations may serve as markers of seizure modulating processes, and further understanding their relationship to biological drivers is crucial.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Joseph Pinion, Callum Walsh, Marc Goodfellow, Andrew D. Randall, Charles R. Tyler, Matthew J. Winter
Summary: This study assessed the electrographic signatures of drug-induced seizures in zebrafish larvae and compared them with known characteristics from studies of seizures in mammals. The findings showed both similarities and differences between the two groups, providing important insights for the use of larval zebrafish as an alternative model for studying seizures and epilepsy.
Article
Clinical Neurology
Thomas W. Owen, Gabrielle M. Schroeder, Vytene Janiukstyte, Gerard R. Hall, Andrew McEvoy, Anna Miserocchi, Jane de Tisi, John S. Duncan, Fergus Rugg-Gunn, Yujiang Wang, Peter N. Taylor
Summary: By comparing the interictal magnetoencephalography (MEG) band power from patients with surgical failure to normative maps, we were able to identify patient-specific abnormalities and propose three mechanisms contributing to poor surgical outcome. We developed markers of these mechanisms and validated them against patient outcomes.
Article
Clinical Neurology
Georgia Ramantani, M. Brandon Westover, Stephen Gliske, Johannes Sarnthein, Sridevi Sarma, Yujiang Wang, Maxime O. Baud, William C. Stacey, Erin C. Conrad
Summary: Electroencephalography (EEG) has been the primary diagnostic tool in clinical epilepsy for almost a century. With the development of higher resolution digital EEG and analytical tools, there is a need to re-explore relevant methodology. This review provides an overview of the passive and active markers of cortical excitability in epilepsy based on EEG and discusses the techniques developed to identify these markers.
Article
Behavioral Sciences
Andrea McKavanagh, Adam Ridzuan-Allen, Barbara A. K. Kreilkamp, Yachin Chen, Jose V. Manjon, Pierrick Coupe, Martyn Bracewell, Kumar Das, Peter N. Taylor, Anthony G. Marson, Simon S. Keller
Summary: This study investigated the differences in volume, estimated myelin content, and functional connectivity of midbrain structures in patients with idiopathic generalized epilepsy (IGE). The results revealed increased volume in the right red nucleus and differences in structural volumes of the right subthalamic nucleus between non-refractory and refractory IGE patients. Functional connectivity alterations were also observed, including decreased connectivity between the left substantia nigra and thalamus, and increased connectivity between the right subthalamic nucleus and superior frontal gyrus in IGE patients.
EPILEPSY & BEHAVIOR
(2023)
Article
Clinical Neurology
Lawrence Peter Binding, Debayan Dasgupta, Peter Neal Taylor, Pamela Jane Thompson, Aidan G. O'Keeffe, Jane de Tisi, Andrew William McEvoy, Anna Miserocchi, Gavin P. Winston, John S. Duncan, Sjoerd B. Vos
Summary: This study found a relationship between white matter fiber bundle damage and language change after temporal lobe epilepsy surgery. In surgeries on the language-dominant hemisphere, damage to the arcuate fasciculus and inferior fronto-occipital fasciculus was associated with decline in language performance at 3 months. In surgeries on the language-nondominant hemisphere, increased resection of the middle longitudinal fasciculus was related to decline in language performance at 3 months.
Article
Biochemical Research Methods
Dominic E. Dunstan, Mark Richardson, Eugenio E. Abela, Ozgur Akman, Marc E. Goodfellow
Summary: This study introduces a method that does not require simplifying assumptions to explain EEG data, and shows that different comparison approaches can lead to different inferences about underlying mechanisms. However, combining different choices into the same algorithm can better approximate data features and constrain model parameters. The method is applied to understand differences observed in resting EEG between patients with epilepsy and controls, and it is found that a reduced excitatory synaptic gain is the main factor explaining the differences in patients with epilepsy. The potential of the method to explore different dynamics in high dimensional models is also demonstrated.
PLOS COMPUTATIONAL BIOLOGY
(2023)
Article
Clinical Neurology
Gabrielle M. Schroeder, Philippa J. Karoly, Matias Maturana, Mariella Panagiotopoulou, Peter N. Taylor, Mark J. Cook, Yujiang Wang
Summary: In this observational study, researchers analyzed the variability of seizures in patients with chronic intracranial EEG recordings and found that the variability is modulated by different factors on multiple timescales. These findings have important implications for the treatment of epilepsy.
BRAIN COMMUNICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Yili Feng, Bao Li, Ruisen Fu, Yaodong Hao, Tongna Wang, Huanmei Guo, Junling Ma, Gerold Baier, Haisheng Yang, Quansheng Feng, Liyuan Zhang, Youjun Liu
Summary: This study proposes a fast calculation method of FFR for the diagnosis of ischemia-causing coronary stenosis. The combination of CCTA and machine learning is used to develop a simplified single-vessel coronary model for rapid calculation of FFR. The proposed model enables rapid prediction of cFFR and exhibits high diagnostic performance.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Neuroimaging
Jonathan J. Horsley, Gabrielle M. Schroeder, Rhys H. Thomas, Jane de Tisi, Sjoerd B. Vos, Gavin P. Winston, Yujiang Wang, Peter N. Taylor
Summary: Patients with temporal lobe epilepsy (TLE) exhibit both volumetric and structural connectivity abnormalities. Our study suggests that white matter connectivity abnormalities are more related to grey matter volumetric abnormalities in TLE patients. Colocalisation of abnormalities primarily occurs in the ipsilateral hemisphere, and is not related to epilepsy duration.
NEUROIMAGE-CLINICAL
(2022)
Article
Clinical Neurology
Gabrielle M. Schroeder, Fahmida A. Chowdhury, Mark J. Cook, Beate Diehl, John S. Duncan, Philippa J. Karoly, Peter N. Taylor, Yujiang Wang
Summary: The study investigated the relationship between epileptic seizure duration and the sequence of activity patterns during a seizure (termed 'seizure pathway'). Multiple mechanisms modulating the relationship were found, and it was concluded that the duration of a seizure is generally not a reliable indicator of its pathway.
BRAIN COMMUNICATIONS
(2022)