Meeting Banner
Abstract #3800

 Higher reliability and validity of Wavelet-based ALFF of resting-state fMRI: evidence from multicenter eyes open and eyes closed databases

Juan Yue1,2,3, Na Zhao1,2,3,4,5, Yang Qiao1,2,3,5,6, Zi-Jian Feng1,2,3, Yun-Song Hu1,2,3, Yong Zhang 7, Yu-Feng Zang1,2,3, and Jue Wang8
1Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China, 2Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China, 3Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China, 4Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China, 5Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China, 6Faculty of Health Sciences, University of Macau, Macao SAR, China, 7MR Research, GE Healthcare, Shanghai, China, 8Institute of Sports Medicine and Health, Chengdu Sport University, Chengdu, China


Using multi-center resting-state fMRI databases under eyes closed (EC) and eyes open (EO), this study systematically investigated the intra- and inter-scanner reliability and validity of Wavelet-mALFF across multiple frequency bands. We found that Wavelet-mALFF outperformed FFT-mALFF in terms of intra- and inter-reliability and validity, particularly in the higher frequency band slow-2 (0.1992-0.25 Hz), where db2-mALFF is the top performer in Wavelet-mALFF. We propose that instead of FFT-ALFF, db2-ALFF can be employed to measure the spontaneous oscillations of local brain activity in future studies.

This abstract and the presentation materials are available to members only; a login is required.

Join Here