% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @ARTICLE{Eickhoff:887720, author = {Eickhoff, Simon B. and Milham, Michael and Vanderwal, Tamara}, title = {{T}owards clinical applications of movie f{MRI}}, journal = {NeuroImage}, volume = {217}, issn = {1053-8119}, address = {Orlando, Fla.}, publisher = {Academic Press}, reportid = {FZJ-2020-04377}, pages = {116860 -}, year = {2020}, abstract = {AbstractAs evidenced by the present special issue, movie fMRI is emerging as a powerful tool for exploring brain function and characterizing its variation across individuals. Here, we provide a brief perspective on the potential of movie fMRI for advancing the discovery of brain imaging-based markers of psychiatric illness. We discuss relevant gaps and opportunities in movie fMRI, and propose community-level models that might accelerate the pace of discovery of fMRI-based biomarkers in psychiatry.}, cin = {INM-7}, ddc = {610}, cid = {I:(DE-Juel1)INM-7-20090406}, pnm = {574 - Theory, modelling and simulation (POF3-574)}, pid = {G:(DE-HGF)POF3-574}, typ = {PUB:(DE-HGF)16}, pubmed = {pmid:32376301}, UT = {WOS:000542369500007}, doi = {10.1016/j.neuroimage.2020.116860}, url = {https://juser.fz-juelich.de/record/887720}, }