Tamás Nagy, Gábor Fritúz, János Gál, Andrea Székely, Enikő Kovács
Teaching nontechnical skills in the undergraduate education of health care professionals: a nationwide cross-sectional study in Hungary
BMC medical education
human brain parcellation based functional magnetic resonance imaging fmri plays essential role neuroscience research segmenting vast intricate fmri data functionally similar units researchers better decipher brains structure healthy diseased states article reviews current methodologies ideas field also outlining obstacles directions future research traditional brain parcellation techniques often rely cytoarchitectonic criteria overlook functional temporal information accessible fmri adoption machine learning techniques notably deep learning offers potential harness spatial temporal information nuanced brain segmentation however search onesizefitsall solution brain segmentation impractical choice grouplevel individuallevel models intended downstream analysis influencing optimal parcellation strategy additionally evaluating models complicated incomplete understanding brain function absence definitive ground truth recent methodological advancements significantly enhanced grasp brains spatial temporal dynamics challenges persist advancing fmribased spatiotemporal representations future efforts likely focus refining model evaluation selection well developing methods offer clear interpretability clinical usage thereby facilitating breakthroughs comprehension brain