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Title: Using functional data analysis with electroencephalography data and introducing the \texttt{EEGLAB\_FDA} MATLAB plugin Authors:  Mohammad Fayaz - Shahid Beheshti University of Medical Sciences (Iran) [presenting]
Abstract: Electroencephalography (EEG) is widely used for medical research in neurosciences and medicine. In this regard, the EEGLAB is an open-source toolbox for the analysis of EEG dynamics trials. On the other hand, the functional data analysis (FDA) is a branch in statistics that is about the analysis of real-valued infinite dimension functions with different methods such as dimension reduction (ex, B-Spline, Functional Principal Component Analysis (FPCA)), functional canonical correlation analysis (FCCA), functional regression, and etc. The focus is on: firstly, providing a systematic review of the applications and statistical methods of the FDA with an EEG dataset that has 614 items in google scholar until the end of March 2022. The inclusion criteria are articles that were published as journal articles, English, and at least SCOPUS-indexed journals. Finally, 128 items (79 statistical methods and 49 non-statistical methods (with medical and clinical applications)) remain. A different aspect of the published articles such as journal names, types, subjects, publication years, FDA methodologies and etc. are provided. Second, we develop an open-source \texttt{EEGLAB\_FDA} plug-in for EEGLAB in MATLAB that has some FDA graphical user interface (GUI) such as smoothing, FPCA, and FCCA. The first version is released and the next versions are coming.