Tu.2.2.6
Evaluating the Impact of Physiological Artifacts and Head Motion on Dynamic Functional Connectivity Patterns Identified by Multiple Methods
S. Emad Askarinejad, Mohammad Torabi, Jean-Baptiste Poline, McGill Univeristy; Georgios D. Mitsis, McGill Univeristy/Senior Member, IEEE
Session:
Tu.2.2: Functional and Directed Connectivity Analysis I Oral
Track:
Biomedical Signal Processing
Location:
Room 716A
Presentation Time:
Tuesday, 28 July, 12:45 - 13:00
Session Co-Chairs:
Sandya Subramanian and Chichi Chang
Presentation
Discussion
Resources
No resources available.
Session Tu.2.2
Tu.2.2.1: VALIDATION OF SHORT-SEPARATION CANONICAL CORRELATION ANALYSIS FOR fNIRS FUNCTIONAL CONNECTIVITY DURING SUSTAINED NEURAL STIMULATION
Susan Coltman, Xiaogang Hu, The Pennsylvania State University
Tu.2.2.2: CHANNEL CAPACITY AS A DYNAMIC EFFECTIVE CONNECTIVITY MEASURE FOR FUNCTIONAL NEUROIMAGING
Jianan Jian, Benjamin Li, Nan Xu, University of Maryland
Tu.2.2.3: DISSECTING DIRECTED MULTIVARIATE INTERACTIONS IN PHYSIOLOGICAL NETWORKS THROUGH HIGH-ORDER GRANGER CAUSALITY
Luca Faes, Roberta Saputo, Irene Franzone, Riccardo Pernice, University of Palermo; Gorana Mijatovic, University of Novi Sad; Yuri Antonacci, University of Palermo
Tu.2.2.4: WAVEFORM-DEPENDENT INFLUENCE OF ELECTRICAL VESTIBULAR STIMULATION ON EEG REVEALED BY GRANGER CAUSALITY
Maryam Kia, University of Lethbridge; Sepideh Hajipour Sardouie, Maryam S. Mirian, University of British Columbia; Matthew Tata, Artur Luczak, University of Lethbridge; Martin J McKeown, University of British Columbia
Tu.2.2.5: Research on HHT-CAP Joint Analysis Method for Dynamic Brain Functional Networks
Kunyan ZHOU, Xuran CHEN, Yuhan LIU, Zhao QING, Southeast University
Tu.2.2.6: Evaluating the Impact of Physiological Artifacts and Head Motion on Dynamic Functional Connectivity Patterns Identified by Multiple Methods
S. Emad Askarinejad, Mohammad Torabi, Jean-Baptiste Poline, McGill Univeristy; Georgios D. Mitsis, McGill Univeristy/Senior Member, IEEE
Resources
No resources available.