Nathalie Tamayo, Helen Wareham, Marie-Christine Franken, Cristina McKean, Henning Tiemeier, Pauline W Jansen
Bidirectional associations between mental health problems and language ability across 8 years of childhood
European child & adolescent psychiatry
blood oxygen leveldependent bold signal derived functional neuroimaging commonly used brain network analysis dementia diagnosis missing bold signal may lead bad performance misinterpretation findings analyzing neurological disease studies focused restoration brain functional timeseries data paper novel ushaped convolutional transformer gan uctgan model proposed restore missing brain functional timeseries data proposed model leverages power generative adversarial networks gans incorporating ushaped architecture effectively capture hierarchical features restoration process besides multilevel temporalcorrelated attention convolutional sampling transformerbased generator devised capture global local temporal features missing time series associate longrange relationship brain regions furthermore introducing multiresolution consistency loss proposed model promote learning diverse temporal patterns maintain consistency across different temporal resolutions thus effectively restoring complex brain functional dynamics theoretically tested model public alzheimers disease neuroimaging initiative adni dataset experiments demonstrate proposed model outperforms existing methods terms quantitative metrics qualitative assessments models ability preserve underlying topological structure brain functional networks restoration particularly notable achievement overall proposed model offers promising solution restoring brain functional timeseries contributes advancement neuroscience research providing enhanced tools disease analysis interpretation