Source-informed segmentation: A data-driven approach for the temporal segmentation of EEG

AE Haddad - IEEE Transactions on Biomedical Engineering, 2018 - ieeexplore.ieee.org
Goal: Understanding the dynamics of brain function through non-invasive monitoring
techniques requires the development of computational methods that can deal with the non …

Probing the dynamics of spontaneous cortical activities via widefield Ca+ 2 imaging in GCaMP6 transgenic mice

L Zhu, CR Lee, DJ Margolis… - Wavelets and sparsity …, 2017 - spiedigitallibrary.org
Studying the temporal and spectral characteristics of brain function under spontaneous
activity has been recently receiving great interest in the field of neuroscience. By combining …

Temporal dynamics of fNIRS-recorded signals revealed via visibility graph

L Zhu, L Najafizadeh - Optical Tomography and Spectroscopy, 2016 - opg.optica.org
Temporal Dynamics of fNIRS-Recorded Signals Revealed Via Visibility Graph Page 1 JW3A.53.pdf
Biomedical Optics Congress 2016 (Brain, Cancer, OTS, Translational) © OSA 2016 …

On the relationship between trial-to-trial response time variability and fNIRS-based functional connectivity

T Zeng, L Zhu, Y Wang, L Najafizadeh - Clinical and Translational …, 2016 - opg.optica.org
On the Relationship Between Trial-to-Trial Response Time Variability and fNIRS-Based
Functional Connectivity Page 1 JW3A.41.pdf Biomedical Optics Congress 2016 (Brain, Cancer …

Computational Methods for Probing the Spatio-Temporo-Rhythmic Characteristics of the Task-Associated Brain Functional Networks via Electroencephalography

AEH Haddad - 2021 - search.proquest.com
The human brain is one of the largest networks known to exist. Recent years have witnessed
an increasing interest in understanding the large-scale networks in the brain from the …

Assessing optimal electrode/optode arrangement in EEG-fNIRS multi-modal imaging

L Zhu, AE Haddad, T Zeng, Y Wang… - Cancer Imaging and …, 2016 - opg.optica.org
Assessing Optimal Electrode/Optode Arrangement in EEG-fNIRS Multi-Modal Imaging Page 1
JW3A.39.pdf Biomedical Optics Congress 2016 (Brain, Cancer, OTS, Translational) © OSA …

Computational Methods for Predicting Behavior from Neuroimaging Data

L Zhu - 2018 - search.proquest.com
One of the major goals in neuroscience is to understand the relationship between the brain
function and the behavior. Inferring about the behavior, intent, or the engagement of a …