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The Effect of Preprocessing Pipelines in Subject Classification and Detection of Abnormal Resting State Functional Network Connectivity using Group ICA
Resting state functional network connectivity (rsFNC) derived from functional magnetic resonance (fMRI) imaging is emerging as a possible biomarker to identify several brain disorders. Recently it has been pointed out that methods used to preprocess head motion variance might not fully remove all un...
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| Опубликовано в: : | Neuroimage |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5035165/ https://ncbi.nlm.nih.gov/pubmed/27033684 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2016.03.038 |
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