Towards a Single Trial fNIRS-based Brain-Computer Interface for Communication. - Seyyed Bahram Borgheai; Mohammadreza Abtahi; Kunal Mankodiya; John McLinden; Yalda Shahriari (NER, 2019)

Multimodal Evaluation of Mental Workload Using a Hybrid EEGfNIRS Brain-Computer Interface System*. - Seyyed Bahram Borgheai; R. J. Deligani; John McLinden; Mohammadreza Abtahi; Sarah Ostadabbas; Kunal Mankodiya; Yalda Shahriari (NER, 2019)

A Graph-Based Dynamical Characterization and Inference in Hybrid BCIs. - Sarah M. Ismail Hosni; Seyyed Bahram Borgheai; John McLinden; Shaotong Zhu; Sarah Ostadabbas; Yalda Shahriari (ACSCC, 2021)

Graph-based Recurrence Quantification Analysis of EEG Spectral Dynamics for Motor Imagery-based BCIs. - Sarah M. Ismail Hosni; Seyyed Bahram Borgheai; John McLinden; Shaotong Zhu; Xiaofei Huang; Sarah Ostadabbas; Yalda Shahriari (EMBC, 2021)

A Graph-Based Feature Extraction Algorithm Towards a Robust Data Fusion Framework for Brain-Computer Interfaces. - Shaotong Zhu; Sarah M. Ismail Hosni; Xiaofei Huang; Seyyed Bahram Borgheai; John McLinden; Yalda Shahriari; Sarah Ostadabbas (EMBC, 2021)

A Graph-Based Nonlinear Dynamic Characterization of Motor Imagery Toward an Enhanced Hybrid BCI. - Sarah M. Ismail Hosni; Seyyed Bahram Borgheai; John McLinden; Shaotong Zhu; Xiaofei Huang; Sarah Ostadabbas; Yalda Shahriari (Neuroinformatics, 2022)

Context-aware Multimodal Auditory BCI Classification through Graph Neural Networks. - Chetan Kumar; Neela Rahimi; Rohan Gonjari; John McLinden; Sarah M. Ismail Hosni; Yalda Shahriari; Ming Shao (EMBC, 2023)

Exploratory tNIRS Assessment of Cortical Activation during a Novel Virtual Reality Object Orientation Memory Task. - James McIntyre; John McLinden; Seyyed Bahram Borgheai; Yalda Shahriari (NER, 2023)

Phase-Amplitude Coupling Between EEG Cortical Oscillations and Respiration: An Exploratory Study. - John McLinden; Seyyed Bahram Borgheai; Chetan Kumar; Neela Rahimi; Ming Shao; Kevin M. Spencer; Yalda Shahriari (NER, 2023)

Automating visual feedback in H-reflex operant conditioning studies: Feasibility and first steps. - John McLinden; Darren E. Gemoets; Daniel Hahn; Jodi Brangaccio; Yalda Shahriari; Jonathan R. Wolpaw; James J. S. Norton (NER, 2023)

A dynamical graph-based feature extraction approach to enhance mental task classification in brain-computer interfaces. - Shaotong Zhu; Sarah M. Ismail Hosni; Xiaofei Huang; Michael Wan; Seyyed Bahram Borgheai; John McLinden; Yalda Shahriari; Sarah Ostadabbas (Comput. Biol. Medicine, 2023)

fNIRSNET: A multi-view spatio-temporal convolutional neural network fusion for functional near-infrared spectroscopy-based auditory event classification. - Pankaj Pandey; John McLinden; Neela Rahimi; Chetan Kumar; Ming Shao; Kevin M. Spencer; Sarah Ostadabbas; Yalda Shahriari (Eng. Appl. Artif. Intell., 2024)

Multimodal pre-screening can predict BCI performance variability: A novel subject-specific experimental scheme. - Seyyed Bahram Borgheai; Alyssa Hillary Zisk; John McLinden; James McIntyre; Reza Sadjadi; Yalda Shahriari (Comput. Biol. Medicine, 2024)

Investigation of electro-vascular phase-amplitude coupling during an auditory task. - John McLinden; Neela Rahimi; Chetan Kumar; Dean J. Krusienski; Ming Shao; Kevin M. Spencer; Yalda Shahriari (Comput. Biol. Medicine, 2024)

AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing. - Behtom Adeli; John McLinden; Pankaj Pandey; Ming Shao; Yalda Shahriari (CoRR, 2025)

Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures. - Behtom Adeli; John McLinden; Pankaj Pandey; Ming Shao; Yalda Shahriari (CoRR, 2025)