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ORCIDFrontiers in Neuroinformatics, Volume 19
Volume 19, 2025
- Irma Nayeli Angulo-Sherman, Eduardo Iáñez, Andrés Úbeda:
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence. - A. V. Medvedev, B. Lehmann:
The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network. - Vadym Gryshchuk
, Devesh Singh, Stefan Teipel, Martin Dyrba:
Contrastive self-supervised learning for neurodegenerative disorder classification. - Peipei Zeng, Shuimiao Kang, Fan Fan, Jiyuan Liu:
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM. - Cheng Wang, Zhou Long, Xiang-Dong Wang, You-Qi Kong, Li-Chun Zhou, Wei-Hua Jia, Pei Li, Jing Wang, Xiao-Juan Wang, Tian Tian:
Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning. - Yuanyuan Zhang, Manli Tian, Baolin Liu:
An action decoding framework combined with deep neural network for predicting the semantics of human actions in videos from evoked brain activities. - Arthur W. Toga, Sidney Taiko Sheehan, Tyler Ard:
The quest to share data. - Eberechi Wogu, George Ogoh, Patrick Filima, Barisua Nsaanee, Bradley Caron, Franco Pestilli, Damian Eke:
FAIR African brain data: challenges and opportunities. - Yuri G. Gordienko, Nikita Gordienko, Vladyslav Taran, Anis Rojbi, Sergii Telenyk, Sergii G. Stirenko:
Effect of natural and synthetic noise data augmentation on physical action classification by brain-computer interface and deep learning. - Christopher Ivan Hernandez, Natalia Afek, Magda Gawlowska, Pawel Oswiecimka, Magdalena Fafrowicz, Agnieszka Slowik, Marcin Wnuk, Monika Marona, Klaudia Nowak, Kamila Zur-Wyrozumska, Mary Jean Amon, P. A. Hancock, Tadeusz Marek, Waldemar Karwowski:
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis. - Fahim T. Imam, Thomas H. Gillespie, Ilias Ziogas, Monique Surles-Zeigler, Susan J. Tappan, Ibrahim Burak Özyurt, Jyl Boline, Bernard de Bono, Jeffrey S. Grethe, Maryann E. Martone:
Developing a multiscale neural connectivity knowledgebase of the autonomic nervous system. - Leondry Mayeta-Revilla, Eduardo Cavieres, Matias Salinas, Diego Mellado, Sebastian Ponce, Francisco Torres Moyano, Stéren Chabert, Marvin Querales, Julio Sotelo, Rodrigo Salas:
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation. - Zhibin Jiang, Keli Hu, Jia Qu, Zekang Bian, Donghua Yu, Jie Zhou:
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning. - Guoqiang Zhao, Ao Cheng, Jiahao Shi, Peiyao Shi, Jun Guo, Chunying Yin, Hafsh Khan, Jiachi Chen, Pengcheng Wang, Jiao Chen, Ruobing Zhang:
Large-scale EM data reveals myelinated axonal changes and altered connectivity in the corpus callosum of an autism mouse model. - Domenic Bersch, Martina G. Vilas, Sari Saba-Sadiya, Timothy Schaumlöffel, Kshitij Dwivedi, Christina Sartzetaki, Radoslaw Martin Cichy, Gemma Roig:
Net2Brain: a toolbox to compare artificial vision models with human brain responses. - Muhammad Liaquat Raza, Syed Tawassul Hassan, Subia Jamil, Noorulain Hyder, Kinza Batool, Sajidah Walji, Muhammad Khizar Abbas:
Advancements in deep learning for early diagnosis of Alzheimer's disease using multimodal neuroimaging: challenges and future directions. - Sayan Ghosh, Dipayan Biswas, Nurani Rajagopal Rohan, Sujith Vijayan, V. Srinivasa Chakravarthy:
Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network. - Shailesh Appukuttan, Aude-Marie Grapperon, Mounir Mohamed El Mendili, Hugo Dary, Maxime Guye, Annie Verschueren, Jean-Philippe Ranjeva, Shahram Attarian, Wafaa Zaaraoui, Matthieu Gilson:
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study. - Sreejith Chandrasekharan, Jisu Elsa Jacob:
Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation. - Denise Alonso-Vázquez, Omar Mendoza-Montoya, Ricardo Caraza, Hector R. Martinez, Javier Mauricio Antelis:
From pronounced to imagined: improving speech decoding with multi-condition EEG data. - Seyedadel Moravveji, Halima Sadia, Nicolas Doyon, Simon Duchesne:
Sensitivity analysis of a mathematical model of Alzheimer's disease progression unveils important causal pathways. - Rachele Fabbri, Ermes Botte, Arti Ahluwalia, Chiara Magliaro:
Digitoids: a novel computational platform for mimicking oxygen-dependent firing of neurons in vitro. - Jisu Elsa Jacob, Sreejith Chandrasekharan:
Editorial: Advanced EEG analysis techniques for neurological disorders. - Franco Delogu, Chantol Aspinall, Kimberly L. Ray, Anibal Sólon Heinsfeld, Conner Victory, Franco Pestilli:
Breaking barriers: broadening neuroscience education via cloud platforms and course-based undergraduate research. - Charl A. P. Linssen, Pooja N. Babu, Jochen M. Eppler, Luca Koll, Bernhard Rumpe, Abigail Morrison:
NESTML: a generic modeling language and code generation tool for the simulation of spiking neural networks with advanced plasticity rules. - Amir F. Al-Bakri, Ahmed Tahseen Muslim, Moneer K. Faraj, Wamedh Esam Matti, Radana Vilimkova Kahankova, Dariusz Mikolajewski, Waldemar Karwowski, Aleksandra Kawala-Sterniuk:
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings. - Geoffrey Chern-Yee Tan, Ziying Wang, Ethel Siew Ee Tan, Rachel Jing Min Ong, Pei En Ooi, Danan Lee, Nikita Rane, Sheryl Yu Xuan Tey, Si Ying Chua, Nicole Goh, Glynis Weibin Lam, Atlanta Chakraborty, Anthony Khye Loong Yew, Sin Kee Ong, Jin Lin Kee, Xin Ying Lim, Nawal Hashim, Sharon Huixian Lu, Michael Meany, Serenella Tolomeo, Christopher Lee Asplund, Hong Ming Tan, Jussi Keppo:
Correction: Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression. - Liya Li, Ying Hu, Xiaojun Wang, Pei Sun, Tingwei Quan:
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons. - Matthew D. Turner, Abhishek M. Appaji, Nibras Ar Rakib, Pedram Golnari, Arcot K. Rajasekar, Anitha Rathnam K. V, Satya S. Sahoo, Yue Wang, Lei Wang, Jessica A. Turner:
Large language models can extract metadata for annotation of human neuroimaging publications. - Paulina Tarara, Iwona Przybyl, Julius Schöning, Artur Gunia:
Motor imagery-based brain-computer interfaces: an exploration of multiclass motor imagery-based control for Emotiv EPOC X. - Nidhi Patel, Jaiprakash Verma, Swati Jain:
Improving EEG classification of alcoholic and control subjects using DWT-CNN-BiGRU with various noise filtering techniques. - Jose Arturo Santisteban, David J. Rotenberg, Stefan Kloiber, Marta M. Maslej, Adeel Ansari, Bahar Amani, Darren Courtney, Farhat Farrokhi, Natalie Freeman, Masooma Hassan, Lucia Kwan, Mindaugas Mozuraitis, Michael Lau, Natalia Potapova, Farhad Qureshi, Nicole Schoer, Nelson Shen, Joanna Yu, Noelle Coombe, Kimberly Hunter, Peter Selby, Nicole Thomson, Damian Jankowicz, Sean L. Hill:
The BrainHealth Databank: a systems approach to data-driven mental health care and research. - Sam K. Vanspauwen, Virginia Luque-Fernández, Hanne B. Rasmussen:
A correlation-based tool for quantifying membrane periodic skeleton associated periodicity. - Sotirios Panagiotou, Rene Miedema, Dimitrios Soudris, Christos Strydis:
Decoupling model descriptions from execution: a modular paradigm for extensible neurosimulation with EDEN. - Yubin Huang, Jun Liu, Qi Yu:
Leveraging neuroinformatics to understand cognitive phenotypes in elite athletes through systems neuroscience. - Paul Nazac, Shengyan Xu, Victor Breton, David Boulet, Lydia Danglot:
Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation. - Maja A. Puchades, Sharon C. Yates, Gergely Csúcs, Harry Carey, Arda Balkir, Trygve B. Leergaard, Jan G. Bjaalie:
Software and pipelines for registration and analyses of rodent brain image data in reference atlas space. - Gopikrishna Deshpande, Bonian Lu, Nguyen Huynh, D. Rangaprakash:
VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data. - Matteo Ferrante, Marianna Inglese, Ludovica Brusaferri, Nicola Toschi, Marco L. Loggia:
Generation of synthetic TSPO PET maps from structural MRI images. - Karina J. Maciejewska:
Decoding event-related potentials: single-dose energy dietary supplement acts on earlier brain processes than we thought. - Erik D. Fagerholm, Hirokazu Tanaka, Milan Brázdil:
Information-theoretic gradient flows in mouse visual cortex. - Chuanbo Hu, Jacob Thrasher, Wenqi Li, Mindi Ruan, Xiangxu Yu, Lynn K. Paul, Shuo Wang, Xin Li:
Speech pattern disorders in verbally fluent individuals with autism spectrum disorder: a machine learning analysis. - D. Prabha Devi, C. Palanisamy:
Early heart disease prediction using LV-PSO and Fuzzy Inference Xception Convolution Neural Network on phonocardiogram signals.
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