Abstract

techniques -which use domain knowledge from the source datasets to improve the performance of related 15 target data -hold great promise for addressing these issues (Yousefnezhad et al., 2020;Zhou et al., 2020; 16 Zhang et al., 2018).In this Research Topic, we have collected 7 research studies that describe ways to apply advanced first discussing Data Access issues, then outlining the key characteristics of these commonly used publicly 40 available brain datasets. Subsequently, they reviewed two main approaches for correcting batch effects:(1) Data Harmonization, which uses data standardization, quality control protocols, and other similar The results presented in these excellent papers address an impressive range of approaches for several 74 challenges in analyzing multi-site brain data using domain adaptation and transfer learning.75

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