Seyed Yahya Shirazi

Affiliations: 
New York University, New York, NY, United States 
Area:
Neuromechanics, Electrophysiology, Motor Control, Rehabilitation
Google:
"Seyed Yahya Shirazi"
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Yang J, O'Keeffe R, Shirazi SY, et al. (2024) Muscle activity and hypoalgesia in blood flow restricted versus unrestricted effort-matched resistance exercise in healthy adults. Physiological Reports. 12: e16037
O'Keeffe R, Shirazi SY, Vecchio AD, et al. (2024) Low-frequency Motor Cortex EEG Predicts Four Rates of Force Development. Ieee Transactions On Haptics
Shirazi SY, Huang HJ. (2024) Older adults use fewer muscles to overcome perturbations during a seated locomotor task. Journal of Neurophysiology
O'Keeffe R, Shirazi SY, Yang J, et al. (2023) Non-parametric Functional Muscle Network as a Robust Biomarker of Fatigue. Ieee Journal of Biomedical and Health Informatics
O'Keeffe R, Rathod V, Shirazi SY, et al. (2023) Linear versus Nonlinear Muscle Networks: A Case Study to Decode Hidden Synergistic Patterns During Dynamic Lower-limb Tasks. Biorxiv : the Preprint Server For Biology
O'Keeffe R, Shirazi SY, Bilaloglu S, et al. (2022) Nonlinear functional muscle network based on information theory tracks sensorimotor integration post stroke. Scientific Reports. 12: 13029
O' Keeffe R, Shirazi SY, Mehrdad S, et al. (2022) Perilaryngeal-Cranial Functional Muscle Network Differentiates Vocal Tasks: A Multi-Channel sEMG Approach. Ieee Transactions On Bio-Medical Engineering
Shirazi SY, Huang HJ. (2021) Differential theta-band signatures of the anterior cingulate and motor cortices during seated locomotor perturbations. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Shirazi SY, Huang HJ. (2019) More Reliable EEG Electrode Digitizing Methods Can Reduce Source Estimation Uncertainty, but Current Methods Already Accurately Identify Brodmann Areas. Frontiers in Neuroscience. 13: 1159
See more...