Publications

Selected papers and conference proceedings

2026
A shallow 2D self-attention-CNN framework for depression severity identification using EEG functional connectivity network
Zhou, Y., Yu, X., Lin, H., Li, R., Liang, J., Shi, X., & Luo, Y.
Biomedical Signal Processing and Control , Vol. 115 : 109397
2025
Advancing inter-brain synchrony measurement: A comparative hyperscanning study of diffuse optical tomography and functional near-infrared spectroscopy
Guan, S., Li, Y., Geng, Y., Li, D., Xu, Q., Niu, P., Yang, D., Eggebrecht, A., Zhang, Y., & Li, R.
NeuroImage : 121663
Age-varying distinct neuroanatomy in young children with autism spectrum disorder and fragile X syndrome
Feng, D., Li, D., Hu, C., Tian, Y., Xu, X., Hagerman, R. J., Xu, Q., & Li, R.
Molecular Psychiatry : 1–11
Distinct and shared intrinsic resting-state functional networks in children with idiopathic autism spectrum disorder and fragile X syndrome
Li, D., Feng, D., Hu, C., Tian, Y., Reiss, A. L., Hagerman, R. J., Xu, X., Qiao, Z., Li, R., & Xu, Q.
Molecular Psychiatry , Vol. 30 (11) : 5255–5263
Effect of teacher–student interaction on language learning under anxiety: An fNIRS-Based hyperscanning study
Li, J., Li, Y., Wang, H., Chen, J., Li, R., & Zhang, H.
Language Learning
Atypical inter-brain synchrony and social communication deficits in girls with fragile X syndrome: Evidence from functional near-infrared spectroscopy hyperscanning
Li, R., Dybvik, H., Feng, D., Eng, C., Lee, C. H., Bartholomay, K. L., Zhang, Y., Lightbody, A. A., & Reiss, A. L.
ERP-based interbrain causal model reveals closed-loop information interaction in interpersonal negotiations
Li, Y., Sarah, G., Chen, C., Jiang, L., Chen, B., Li, R., Liang, Z., Yu, J., Dong, D., Wan, F., Becker, B., Yao, D., Li, F., Zhang, D., & Xu, P.
NeuroImage : 121541
The diagnosis method of major depressive disorder using wavelet coherence and state-pathology separation network
Wang, G., Tao, Y., Wu, N., Li, R., Lee, W. H., Cao, Z., Yan, X., Chen, B., & Wang, G.
IEEE Transactions on Affective Computing
Advancing inter-brain synchrony measurement: A comparative hyperscanning study of high-density diffuse optical tomography and functional near-infrared spectroscopy
Guan, S., Li, Y., Geng, Y., Li, D., Xu, Q., Yang, D., Zhang, Y., & Li, R.
bioRxiv : the preprint server for biology : 2025–07
Aberrant neural activation during inhibitory control in girls with fragile X syndrome
Gao, Y., Li, R., Ma, Q., Bartholomay, K. L., Lightbody, A. A., & Reiss, A. L.
Cerebral Cortex , Vol. 35 (7) : bhaf124
Modular inter-brain synchrony network associated with social difficulty in autism spectrum disorder: a graph neural network-driven hyperscanning study
Li, Y., Zhu, Y., Geng, Y., Feng, D., Guan, S., Li, D., Mei, L., Ding, X., Ying, Y., Tang, J., Liang, J., Su, Y., Zhang, Y., Xu, Q., & Li, R.
bioRxiv : the preprint server for biology : 2025–06
Continuous wave-diffuse optical tomography (CW-DOT) in human brain mapping: a review
Guan, S., Li, Y., Gao, Y., Luo, Y., Zhao, H., Yang, D., & Li, R.
Sensors , Vol. 25 (7) : 2040
Longitudinal changes in functional neural activation and sensitization during face processing in fragile X syndrome
Gao, Y., Li, R., Ma, Q., Bartholomay, K. L., Lightbody, A. A., & Reiss, A. L.
Biological Psychiatry , Vol. 97 (5) : 499–506
Associations between brain network, puberty, and behaviors in boys with Klinefelter syndrome
Li, R., Foland-Ross, L. C., Jordan, T., Marzelli, M. J., Ross, J. L., & Reiss, A. L.
European Child & Adolescent Psychiatry , Vol. 34 (2) : 585–597
Inter-brain synchrony to delineate the social impairment in autism spectrum disorder: a systematic review on hyperscanning studies
Li, Y., Guan, S., Yang, D., Li, D., Xu, Q., Zhang, Y., & Li, R.
Psychoradiology , Vol. 5 : kkaf025
2024
LUCF-Net: Lightweight U-shaped cascade fusion network for medical image segmentation
She, Q., Sun, S., Ma, Y., Li, R., & Zhang, Y.
IEEE Journal of Biomedical and Health Informatics
Multimodal investigation of dynamic brain network alterations in autism spectrum disorder: Linking connectivity dynamics to symptoms and developmental trajectories
Wan, L., Li, Y., Zhu, G., Yang, D., Li, F., Wang, W., Chen, J., Yang, G., & Li, R.
NeuroImage , Vol. 302 : 120895
DOI
MixFormer: a mixed CNN-transformer backbone for medical image segmentation
Liu, J., Li, K., Huang, C., Dong, H., Song, Y., & Li, R.
IEEE Transactions on Instrumentation and Measurement
Disentangling the impact of motion artifact correction algorithms on functional near-infrared spectroscopy–based brain network analysis
Guan, S., Li, Y., Luo, Y., Niu, H., Gao, Y., Yang, D., & Li, R.
Neurophotonics , Vol. 11 (4) : 045006–045006
Social gaze behavior and hyperarousal in young females with fragile X syndrome: A within-person approach
Miller, J. G., Sharifi, R., Piccirilli, A., Li, R., Lee, C. H., Bartholomay, K. L., Jordan, T. L., Marzelli, M. J., Bruno, J. L., Lightbody, A. A., & Reiss, A. L.
Development and Psychopathology , Vol. 36 (3) : 1154–1165
Childhood exposure to organophosphate pesticides: Functional connectivity and working memory in adolescents
Gao, Y., Li, R., Ma, Q., Baker, J. M., Rauch, S., Gunier, R. B., Mora, A. M., Kogut, K., Bradman, A., Eskenazi, B., Reiss, A. L., & Sagiv, S. K.
NeuroToxicology , Vol. 103 : 206–214
Resting-state EEG dynamic functional connectivity distinguishes non-psychotic major depression, psychotic major depression and schizophrenia
Chen, H., Lei, Y., Li, R., Xia, X., Cui, N., Chen, X., Liu, J., Tang, H., Zhou, J., Huang, Y., Tian, Y., Wang, X., & Zhou, J.
Molecular Psychiatry , Vol. 29 (4) : 1088–1098
The control patterns of affective processing and cognitive reappraisal: insights from brain controllability analysis
Fang, F., Teixeira, A. L., Li, R., Zou, L., & Zhang, Y.
Cerebral Cortex , Vol. 34 (2) : bhad500
DOI
Neurovascular coupling analysis based on multivariate variational Gaussian process convergent cross-mapping
Zhu, R., She, Q., Li, R., Tan, T., & Zhang, Y.
IEEE Transactions on Neural Systems and Rehabilitation Engineering , Vol. 32 : 1873–1883
Divergent electroencephalogram resting-state functional network alterations in subgroups of autism spectrum disorder: a symptom-based clustering analysis
Zhu, G., Li, Y., Wan, L., Sun, C., Liu, X., Zhang, J., Liang, Y., Liu, G., Yan, H., Li, R., & Yang, G.
Cerebral Cortex , Vol. 34 (1) : bhad413
Medical image processing based on generative adversarial networks: a systematic review
Liu, J., Li, K., Dong, H., Han, Y., & Li, R.
Current Medical Imaging , Vol. 20 (1)
2023
Association of intrinsic functional brain network and longitudinal development of cognitive behavioral symptoms in young girls with fragile X syndrome
Li, R., Lightbody, A. A., Lee, C. H., Bartholomay, K. L., Marzelli, M. J., & Reiss, A. L.
Biological psychiatry , Vol. 94 (10) : 814–822
Dynamic cortical connectivity alterations associated with Major Depressive Disorder: an EEG study
Lei, Y., Chen, H., Li, R., Zhou, J., & Cui, N.
2023 45th annual international conference of the IEEE engineering in medicine & biology society (EMBC) : 1–4
Test and re-test reliability of optimal stimulation targets and parameters for personalized neuromodulation
Fang, F., Cammon, J., Li, R., & Zhang, Y.
Frontiers in Neuroscience , Vol. 17 : 1153786
Virtual (Zoom) interactions alter conversational behavior and interbrain coherence
Balters, S., Miller, J. G., Li, R., Hawthorne, G., & Reiss, A. L.
Journal of Neuroscience , Vol. 43 (14) : 2568–2578
Aberrant neural response during face processing in girls with fragile X syndrome: defining potential brain biomarkers for treatment studies
Li, R., Bruno, J. L., Jordan, T., Miller, J. G., Lee, C. H., Bartholomay, K. L., Marzelli, M. J., Piccirilli, A., Lightbody, A. A., & Reiss, A. L.
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging , Vol. 8 (3) : 311–319
Neural biomarker diagnosis and prediction to mild cognitive impairment and Alzheimer’s disease using EEG technology
Jiao, B., Li, R., Zhou, H., Qing, K., Liu, H., Pan, H., Lei, Y., Fu, W., Wang, X., Xiao, X., Liu, X., Liao, X., Zhou, Y., Fang, L., Dong, Y., Yang, Y., Jiang, H., Huang, S., & Shen, L.
Alzheimer's research & therapy , Vol. 15 (1) : 32
Current opinions on the present and future use of functional near-infrared spectroscopy in psychiatry
Li, R., Hosseini, H., Saggar, M., Balters, S. C., & Reiss, A. L.
Neurophotonics , Vol. 10 (1) : 013505–013505
2022
Cortical activation predicts posttraumatic improvement in youth treated with TF-CBT or CCT
Espil, F. M., Balters, S., Li, R., McCurdy, B. H., Kletter, H., Piccirilli, A., Cohen, J. A., Weems, C. F., Reiss, A. L., & Carrion, V. G.
Journal of Psychiatric Research , Vol. 156 : 25–35
Recognition of cervical precancerous lesions based on probability distribution feature guidance
Liu, J., Sun, X., Li, R., & Peng, Y.
Current Medical Imaging Reviews , Vol. 18 (11) : 1204–1213
Aberrant brain network and eye gaze patterns during natural social interaction predict multi-domain social-cognitive behaviors in girls with fragile X syndrome
Li, R., Bruno, J. L., Lee, C. H., Bartholomay, K. L., Sundstrom, J., Piccirilli, A., Jordan, T., Miller, J. G., Lightbody, A. A., & Reiss, A. L.
Molecular psychiatry , Vol. 27 (9) : 3768–3776
Concurrent fNIRS and EEG for brain function investigation: a systematic, methodology-focused review
Li, R., Yang, D., Fang, F., Hong, K.-S., Reiss, A. L., & Zhang, Y.
Sensors , Vol. 22 (15) : 5865
Functional brain controllability alterations in stroke
Li, X., Fang, F., Li, R., & Zhang, Y.
Frontiers in Bioengineering and Biotechnology , Vol. 10 : 925970
Enhancing emotion recognition using region-specific electroencephalogram data and dynamic functional connectivity
Liu, J., Sun, L., Liu, J., Huang, M., Xu, Y., & Li, R.
Frontiers in Neuroscience , Vol. 16 : 884475
Inter-muscular coherence and functional coordination in the human upper extremity after stroke
Liu, H., Gao, Y., Huang, W., Li, R., Houston, M., Benoit, J. S., Roh, J., & Zhang, Y.
Mathematical Biosciences and Engineering , Vol. 19 : 4506–4525
2021
Functional near-infrared spectroscopy brain imaging predicts symptom severity in youth exposed to traumatic stress
Balters, S., Li, R., Espil, F. M., Piccirilli, A., Liu, N., Gundran, A., Carrion, V. G., Weems, C. F., Cohen, J. A., & Reiss, A. L.
Journal of psychiatric research , Vol. 144 : 494–502
Dynamic inter-brain synchrony in real-life inter-personal cooperation: A functional near-infrared spectroscopy hyperscanning study
Li, R., Mayseless, N., Balters, S., & Reiss, A. L.
NeuroImage , Vol. 238 : 118263
EEG-based driving fatigue detection using a two-level learning hierarchy radial basis function
Ren, Z., Li, R., Chen, B., Zhang, H., Ma, Y., Wang, C., Lin, Y., & Zhang, Y.
Frontiers in Neurorobotics , Vol. 15 : 618408
2020
Multimodal neuroimaging using concurrent EEG/fNIRS for poststroke recovery assessment: an exploratory study
Li, R., Li, S., Roh, J., Wang, C., & Zhang, Y.
Neurorehabilitation and Neural Repair , Vol. 34 (12) : 1099–1110
Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine
She, Q., Zou, J., Luo, Z., Nguyen, T., Li, R., & Zhang, Y.
Medical & biological engineering & computing , Vol. 58 (9) : 2119–2130
Altered muscle networks in post-stroke survivors
Houston, M., Li, R., Roh, J., & Zhang, Y.
2020 42nd annual international conference of the IEEE engineering in medicine & biology society (EMBC) : 3771–3774
Driving drowsiness detection with EEG using a modified hierarchical extreme learning machine algorithm with particle swarm optimization: A pilot study
Ma, Y., Zhang, S., Qi, D., Luo, Z., Li, R., Potter, T., & Zhang, Y.
Electronics , Vol. 9 (5) : 775
An EEG-fNIRS hybridization technique in the four-class classification of alzheimer’s disease
Cicalese, P. A., Li, R., Ahmadi, M. B., Wang, C., Francis, J. T., Selvaraj, S., Schulz, P. E., & Zhang, Y.
Journal of neuroscience methods , Vol. 336 : 108618
Enhancing fNIRS analysis using EEG rhythmic signatures: an EEG-informed fNIRS analysis study
Li, R., Zhao, C., Wang, C., Wang, J., & Zhang, Y.
IEEE Transactions on Biomedical Engineering , Vol. 67 (10) : 2789–2797
Cortical reorganization characterization using multimodal EEG- FNIRS integration analysis
Li, R.
Establishing functional brain networks using a nonlinear partial directed coherence method to predict epileptic seizures
Zhang, Q., Hu, Y., Potter, T., Li, R., Quach, M., & Zhang, Y.
Journal of neuroscience methods , Vol. 329 : 108447
2019
Functional network alterations in patients with amnestic mild cognitive impairment characterized using functional near-infrared spectroscopy
Li, R., Rui, G., Zhao, C., Wang, C., Fang, F., & Zhang, Y.
IEEE Transactions on Neural Systems and Rehabilitation Engineering , Vol. 28 (1) : 123–132
Emergency glioma resection but not hours of operation predicts perioperative complications: a single center study
Deng, Z., Wu, W., Wang, N., Arafat, W., Li, Z., Wang, J., Ren, C., Li, R., Wang, T., Du, C., & Wang, M.
Clinical Neurology and Neurosurgery , Vol. 182 : 11–16
Synchronous analysis of brain regions based on multi-scale permutation transfer entropy
Gao, Y., Su, H., Li, R., & Zhang, Y.
Computers in Biology and Medicine , Vol. 109 : 272–279
Analysis of measurement electrode location in bladder urine monitoring using electrical impedance
Li, Y., Peng, Y., Yang, X., Lu, S., Gao, J., Lin, C., & Li, R.
Biomedical engineering online , Vol. 18 (1) : 34
EEG-based brain network analysis in stroke patients during a motor execution task
Zhao, C., Li, R., Wang, C., Huang, W., & Zhang, Y.
2019 9th international IEEE/EMBS conference on neural engineering (NER) : 887–890
Graph-based brain network analysis in epilepsy: An EEG study
Hu, Y., Zhang, Q., Li, R., Potter, T., & Zhang, Y.
2019 9th international IEEE/EMBS conference on neural engineering (NER) : 130–133
Cortical hemodynamic response and connectivity modulated by sub-threshold high-frequency repetitive transcranial magnetic stimulation
Li, R., Potter, T., Wang, J., Shi, Z., Wang, C., Yang, L., Chan, R., & Zhang, Y.
Frontiers in Human Neuroscience , Vol. 13 : 90
Driving fatigue detection from EEG using a modified PCANet method
Ma, Y., Chen, B., Li, R., Wang, C., Wang, J., She, Q., Luo, Z., & Zhang, Y.
Computational intelligence and neuroscience , Vol. 2019 (1) : 4721863
Dynamic cortical connectivity alterations associated with Alzheimer's disease: An EEG and fNIRS integration study
Li, R., Nguyen, T., Potter, T., & Zhang, Y.
NeuroImage: Clinical , Vol. 21 : 101622
2018
Early detection of Alzheimer’s disease using non-invasive near-infrared spectroscopy
Li, R., Rui, G., Chen, W., Li, S., Schulz, P. E., & Zhang, Y.
Frontiers in aging neuroscience , Vol. 10 : 366
Frequency-dependent anisotropic modeling and analysis using mfEIT: A computer simulation study
Zhang, T., Li, R., Potter, T., Seo, J. K., Li, G., & Zhang, Y.
International Journal for Numerical Methods in Biomedical Engineering , Vol. 34 (7) : e2980
Electroencephalogram–electromyography coupling analysis in stroke based on symbolic transfer entropy
Gao, Y., Ren, L., Li, R., & Zhang, Y.
Frontiers in neurology , Vol. 8 : 716
2017
Enhancing performance of a hybrid EEG-fNIRS system using channel selection and early temporal features
Li, R., Potter, T., Huang, W., & Zhang, Y.
Frontiers in human neuroscience , Vol. 11 : 462
Blood oxygenation changes resulting from subthreshold high frequency repetitive transcranial magnetic stimulation
Li, R., Wang, C., Huang, K., Shi, Z., Wang, J., & Zhang, Y.
2017 39th annual international conference of the IEEE engineering in medicine and biology society (EMBC) : 1513–1516
The feasibility of utilizing EEG-fNIRS to characterize the cortical activation difference between healthy subjects and post-stroke patients
Li, R., Huang, W., Lou, D., Zhu, G., Zhang, T., & Zhang, Y.
2017 8th international IEEE/EMBS conference on neural engineering (NER) : 1–4
A simplified hybrid EEG-fNIRS Brain-Computer Interface for motor task classification
Zhu, G., Li, R., Zhang, T., Lou, D., Wang, R., & Zhang, Y.
2017 8th international IEEE/EMBS conference on neural engineering (NER) : 134–137
2016
Preliminary study of assessing bladder urinary volume using electrical impedance tomography
Li, R., Gao, J., Li, Y., Wu, J., Zhao, Z., & Liu, Y.
Journal of Medical and Biological Engineering , Vol. 36 (1) : 71–79
The design and control of a 3DOF lower limb rehabilitation robot
Wu, J., Gao, J., Song, R., Li, R., Li, Y., & Jiang, L.
Mechatronics , Vol. 33 : 13–22
2014
An anlde rehabilitation device and its control strategy
Wu, J., Gao, J., Li, R., & Li, Y.
Proceeding of the 11th world congress on intelligent control and automation : 3267–3272
2013
Design of a noninvasive bladder urinary volume monitoring system based on bio-impedance
Li, R., Gao, J., Wang, H., Jiang, Q., &
Engineering , Vol. 5 (10) : 321–325