Cover Image

An fNIRS investigation of novel expressed emotion stimulations in schizophrenia

Saved in:

Bibliographic Details
Main Authors:	Wang, Cuiyan, Zhang, Yueqian, Lim, Lam Ghai, Cao, Weiqi, Zhang, Wei, Wan, Xiaoyang, Fan, Lijun, Liu, Ying, Zhang, Xi, Tian, Zengjie, others
Format:	Article
Published:	Nature Publishing Group UK London 2023
Online Access:	http://scholars.utp.edu.my/id/eprint/37221/
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An fNIRS investigation of novel expressed emotion stimulations in schizophrenia
by: Wang, C., et al.
Published: (2023)

A study on fNIRS-based working memory load assessment and potential issues with extracerebral artifacts
by: Lim, Lam Ghai, et al.
Published: (2020)

Study of emotional state effect on decision making by using fNIRS
by: Chong, J.S., et al.
Published: (2019)

Study of emotional state effect on decision making by using fNIRS
by: Chong, J.S., et al.
Published: (2019)

Study of emotional state effect on decision making by using fNIRS
by: Chong, J.S., et al.
Published: (2019)

Study of emotional state effect on decision making by using fNIRS
by: Chong, Jie Sheng, et al.
Published: (2019)

Detection of Emotional Sensitivity Using fNIRS Based Dynamic Functional Connectivity
by: Tang, T.B., et al.
Published: (2021)

Mental stress grading based on fNIRS signals
by: Al-Shargie, F., et al.
Published: (2016)

Mental stress grading based on fNIRS signals
by: Al-Shargie, Fares, et al.
Published: (2016)

A unified analytical framework with multiple fNIRS features for mental workload assessment in the prefrontal cortex
by: Lim, Lam Ghai, et al.
Published: (2020)

Differentiation of Normal Cognition and Early Dementia using fNIRS
by: Ung , Wei Chun
Published: (2015)

Automated thresholding method for fNIRS-based functional connectivity analysis: Validation with a case study on Alzheimerâ��s disease
by: Chan, Yee Ling, et al.
Published: (2020)

Mental stress assessment using simultaneous measurement of EEG and fNIRS
by: Al-Shargie, F., et al.
Published: (2016)

Stress Assessment Based on Decision Fusion of EEG and fNIRS Signals
by: Al-Shargie, F., et al.
Published: (2017)

Stress assessment based on decision fusion of EEG and fNIRS signals
by: Al-Shargie, Fares, et al.
Published: (2017)

Mental stress assessment using simultaneous measurement of EEG and fNIRS
by: Al-Shargie, Fares, et al.
Published: (2016)

Lower limb Movements' Classifications using Hemodynamic Response: fNIRS Study
by: Al-Quraishi, Maged S, et al.
Published: (2021)

Stress Detection and Reduction Based on Simultaneous Measurement of EEG and fNIRS Signals
by: Al-Shargie, Fares
Published: (2019)

Dynamic optimization of mental workload in fNIRS-BCI system for cognitive rehabilitation
by: Ung, Wei Chun, et al.
Published: (2017)

A comprehensive bibliometric analysis of fNIRS and fMRI technology in neuromarketing
by: Alsharif, Ahmed H., et al.
Published: (2023)

Mental stress assessment based on feature level fusion of fNIRS and EEG signals
by: Al-Shargie, F., et al.
Published: (2017)

Classification of Healthy Condition and Depression using functional Near Infrared Spectroscopy (fNIRS)
by: Mohd, Murni Athirah
Published: (2018)

Mental stress assessment based on feature level fusion of fNIRS and EEG signals
by: Al-Shargie, Fares, et al.
Published: (2016)

Simultaneous measurement of EEG-fNIRS in classifying and localizing brain activation to mental stress
by: Al-Shargie, Fares, et al.
Published: (2015)

Functional Connectivity Assessment on Aging Brain using Functional Near Infrared Spectroscopy (fNIRS)
by: Chan, Yee Ling
Published: (2017)

Bimodal data fusion of simultaneous measurements of EEG and fNIRS during lower limb movements
by: Al-Quraishi, Maged S, et al.
Published: (2021)

A unified analytical framework with multiple fNIRS features for mental workload assessment in the prefrontal cortex
by: Lim, L.G., et al.
Published: (2020)

A study on fNIRS-based working memory load assessment and potential issues with extracerebral artifacts
by: Lim, L.G., et al.
Published: (2020)

A unified analytical framework with multiple fNIRS features for mental workload assessment in the prefrontal cortex
by: Lim, L.G., et al.
Published: (2020)

Tracking entrepreneurial mind among university students through Functional Near-Infrared Spectroscopy (fNIRS) technology
by: Sham, Nur Izzati J., et al.
Published: (2020)

Functional connectivity analysis on mild Alzheimer's disease, mild cognitive impairment and normal aging using fNIRS
by: Tang, Tong Boon, et al.
Published: (2018)

Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation with a Case Study on Alzheimer's Disease
by: Chan, Y.L., et al.
Published: (2020)

Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: An fNIRS-EEG study
by: Al-Shargie, F., et al.
Published: (2017)

Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation with a Case Study on Alzheimer's Disease
by: Chan, Y.L., et al.
Published: (2020)

Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: an fNIRS-EEG study
by: Al-Shargie, Fares, et al.
Published: (2017)

Detection of emotional sensitivity using fnirs based dynamic functional connectivity
by: Tang, Tong Boon, et al.
Published: (2021)

Validation of the Image Registration Technique from Functional Near Infrared Spectroscopy (fNIRS) Signal and Positron Emission Tomography (PET) Image
by: Fairuz, Mohd Nasir, et al.
Published: (2020)

fNIRS-based functional connectivity estimation using semi-metric analysis to study decision making by nursing students and registered nurses
by: Chong, Jie Sheng, et al.
Published: (2020)

Study theÂ Effect ofÂ Acute Stress onÂ Decision Making Using Function Near Infrared Spectroscopy (fNIRS)
by: Abdalhadi, A., et al.
Published: (2024)

Characterizing Functional Near Infrared Spectroscopy (fNIRS)-based Connectivity as Cost-effective Small World Network using Orthogonal Minimal Spanning Trees (OMSTs)
by: Chan, Y.L., et al.
Published: (2020)