Table of Contents

• Fusing Structural and Functional Connectivities Using Disentangled VAE for Detecting MCIQiankun Zuo, Yanfei Zhu, Libin Lu, Zhi Yang, Yuhui Li, Ning Zhang. 3-13 [doi]
• Modulation of Beta Power as a Function of Attachment Style and Feedback ValenceDor Mizrahi, Ilan Laufer, Inon Zuckerman. 14-20 [doi]
• Harneshing the Potential of EEG in Neuromarketing with Deep Learning and Riemannian GeometryKostas Georgiadis, Fotis P. Kalaganis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris. 21-32 [doi]
• A Model of the Contribution of Interneuron Diversity to Recurrent Network Oscillation Generation and Information CodingGabriel Matías Lorenz, Pablo Martínez-Cañada, Stefano Panzeri. 33-44 [doi]
• Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory CortexLoren Koçillari, Marco Celotto, Nikolas A. Francis, Shoutik Mukherjee, Behtash Babadi, Patrick O. Kanold, Stefano Panzeri. 45-56 [doi]
• Fusing Simultaneously Acquired EEG and fMRI via Hierarchical Deep TranscodingXueqing Liu, Paul Sajda. 57-67 [doi]
• Decoding Emotion Dimensions Arousal and Valence Elicited on EEG Responses to Videos and Images: A Comparative EvaluationLuis Alfredo Moctezuma, Kazuki Sato, Marta Molinas, Takashi Abe. 71-82 [doi]
• Stabilize Sequential Data Representation via Attraction ModulePetr Kuderov, Evgenii Dzhivelikian, Aleksandr I. Panov. 83-95 [doi]
• Investigating the Generative Dynamics of Energy-Based Neural NetworksLorenzo Tausani, Alberto Testolin, Marco Zorzi. 96-108 [doi]
• Exploring Deep Transfer Learning Ensemble for Improved Diagnosis and Classification of Alzheimer's DiseaseTanjim Mahmud, Koushick Barua, Anik Barua, Sudhakar Das, Nanziba Basnin, Mohammad Shahadat Hossain, Karl Andersson 0001, M. Shamim Kaiser, Nahed Sharmen. 109-120 [doi]
• Effects of EEG Electrode Numbers on Deep Learning-Based Source ImagingJesse Rong, Rui Sun, Yuxin Guo, Bin He. 123-132 [doi]
• Graph Diffusion Reconstruction Network for Addictive Brain-Networks IdentificationChanghong Jing, Changwei Gong, Zuxin Chen, Shuqiang Wang. 133-145 [doi]
• MR Image Super-Resolution Using Wavelet Diffusion for Predicting Alzheimer's DiseaseGuoli Huang, Xuhang Chen, Yanyan Shen, Shuqiang Wang. 146-157 [doi]
• Classification of Event-Related Potential Signals with a Variant of UNet Algorithm Using a Large P300 DatasetMaryam Khoshkhooy Titkanlou, Roman Moucek. 158-166 [doi]
• Dyslexia Data Consortium Repository: A Data Sharing and Delivery Platform for ResearchRoshan Bhandari, Rishikesh V. Phatangare, Mark A. Eckert, Kenneth I. Vaden Jr., James Zijun Wang. 167-178 [doi]
• Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Comparison of Tree-Based Machine Learning Algorithms for Survival AnalysisAlessia Sarica, Federica Aracri, Maria Giovanna Bianco, Maria Grazia Vaccaro, Andrea Quattrone, Aldo Quattrone. 179-190 [doi]
• Predicting Individual Differences from Brain Responses to Music: A Comparison of Functional Connectivity MeasuresArihant Jain, Petri Toiviainen, Vinoo Alluri. 191-202 [doi]
• Multiplex Temporal Networks for Rapid Mental Workload ClassificationArya Teymourlouei, Joshua Stone, Rodolphe J. Gentili, James A. Reggia. 203-214 [doi]
• Super-Resolution MRH Reconstruction for Mouse ModelsJuhyung Ha, Nian Wang, Surendra Maharjan, Xuhong Zhang 0001. 215-226 [doi]
• Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural ActivityNavid Ziaei, Reza Saadatifard, Ali Yousefi, Behzad Nazari, Sydney S. Cash, Angelique C. Paulk. 227-238 [doi]
• Variability of Non-parametric HRF in Interconnectedness and Its Association in Deriving Resting State NetworkSukesh Das, Pratik Jain, Anil Kumar Sao, Bharat B. Biswal. 239-248 [doi]
• BrainSegNeT: A Lightweight Brain Tumor Segmentation Model Based on U-Net and Progressive Neuron ExpansionPartho Ghose, Milon Biswas, Loveleen Gaur. 249-260 [doi]
• Improving Prediction Quality of Face Image Preference Using Combinatorial Fusion AlgorithmZihan Zhang, Christina Schweikert, Shinsuke Shimojo, D. Frank Hsu. 261-272 [doi]
• MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source ImagingMeng Jiao, Shihao Yang, Boyu Wang, Xiaochen Xian, Yevgeniy R. Semenov, Guihong Wan, Feng Liu 0011. 273-285 [doi]
• Rejuvenating Classical Source Localization Methods with Spatial Graph FiltersShihao Yang, Meng Jiao, Jing Xiang, Daphne Kalkanis, Hai Sun, Feng Liu 0011. 286-296 [doi]
• Prediction of Cannabis Addictive Patients with Graph Neural NetworksShulin Wen, Shihao Yang, Xinglong Ju, Ting Liao, Feng Liu 0011. 297-307 [doi]
• Unsupervised Sparse-View Backprojection via Convolutional and Spatial Transformer NetworksXueqing Liu 0002, Paul Sajda. 308-317 [doi]
• Latent Neural Source Recovery via Transcoding of Simultaneous EEG-fMRIXueqing Liu 0002, Paul Sajda. 318-330 [doi]
• Increasing the Power of Two-Sample T-tests in Health Psychology Using a Compositional Data ApproachRene Lehmann, Bodo Vogt. 333-347 [doi]
• Estimating Dynamic Posttraumatic Stress Symptom Trajectories with Functional Data AnalysisChia-Hao Shih, Methsarani Premathilaka, Hong Xie, Xin Wang 0090, Rong Liu. 348-356 [doi]
• Comparison Between Explainable AI Algorithms for Alzheimer's Disease Prediction Using EfficientNet ModelsSobhana Jahan, Md. Rawnak Saif Adib, Mufti Mahmud, M. Shamim Kaiser. 357-368 [doi]
• Social and Non-social Reward Learning Contexts for Detection of Major Depressive Disorder Using EEG: A Machine Learning ApproachPhilopateer Ghattas, Mai Gamal, Seif Eldawlatly. 369-382 [doi]
• Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer's Disease Detection from MRI ImagesSultana Umme Habiba, Tanoy Debnath, Md. Khairul Islam, Lutfun Nahar, Mohammad Shahadat Hossain, Nanziba Basnin, Karl Andersson 0001. 383-394 [doi]
• Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and TranscriptHongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li 0001. 395-406 [doi]
• Exploiting Approximate Joint Diagonalization for Covariance Estimation in Imagined Speech DecodingFotis P. Kalaganis, Kostas Georgiadis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris. 409-419 [doi]
• Automatic Sleep-Wake Scoring with Optimally Selected EEG Channels from High-Density EEGKaroline Seljevoll Herleiksplass, Luis Alfredo Moctezuma, Junya Furuki, Yoko Suzuki, Takashi Abe, Marta Molinas. 420-431 [doi]
• EEG Source Imaging of Hand Movement-Related Areas: An Evaluation of the Reconstruction Accuracy with Optimized ChannelsAndrés Felipe Soler, Eduardo Giraldo 0001, Marta Molinas. 432-442 [doi]
• Bagging the Best: A Hybrid SVM-KNN Ensemble for Accurate and Early Detection of Alzheimer's and Parkinson's DiseasesNoushath Shaffi, Viswan Vimbi, Mufti Mahmud, Karthikeyan Subramanian, Faizal Hajamohideen. 443-455 [doi]
• Roe: A Computational-Efficient Anti-hallucination Fine-Tuning Technology for Large Language Model Inspired by Human Learning ProcessXueqing Liu, Paul Sajda. 456-463 [doi]
• Brain Intervention Therapy Dilemma: Functional Recovery versus IdentityKenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi. 467-475 [doi]