Abstract #3800

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

Juan Yue^1,2,3, Na Zhao^1,2,3,4,5, Yang Qiao^1,2,3,5,6, Zi-Jian Feng^1,2,3, Yun-Song Hu^1,2,3, Yong Zhang ⁷, Yu-Feng Zang^1,2,3, 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

Synopsis

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.

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