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Alexandre Rosa Franco
Researcher at MIND Institute
Publications - 69
Citations - 2465
Alexandre Rosa Franco is an academic researcher from MIND Institute. The author has contributed to research in topics: Default mode network & Resting state fMRI. The author has an hindex of 19, co-authored 62 publications receiving 1884 citations. Previous affiliations of Alexandre Rosa Franco include University of New Mexico & Allen Institute for Brain Science.
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Journal ArticleDOI
Identification of autism spectrum disorder using deep learning and the ABIDE dataset.
Anibal Sólon Heinsfeld,Alexandre Rosa Franco,R. Cameron Craddock,Augusto Buchweitz,Felipe Meneguzzi,Felipe Meneguzzi +5 more
TL;DR: The results improved the state-of-the-art by achieving 70% accuracy in identification of ASD versus control patients in the dataset, and identified the areas of the brain that contributed most to differentiating ASD from typically developing controls as per the deep learning model.
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Toward a Neuroimaging Treatment Selection Biomarker for Major Depressive Disorder
Callie L. McGrath,Mary E. Kelley,Paul E. Holtzheimer,Boadie W. Dunlop,W. Edward Craighead,Alexandre Rosa Franco,R. Cameron Craddock,R. Cameron Craddock,Helen S. Mayberg +8 more
TL;DR: If verified with prospective testing, the insula metabolism-based treatment-specific biomarker defined in this study provides the first objective marker, to the authors' knowledge, to guide initial treatment selection for depression.
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Resting state and task-induced deactivation: A methodological comparison in patients with schizophrenia and healthy controls
Maggie V. Mannell,Alexandre Rosa Franco,Alexandre Rosa Franco,Vince D. Calhoun,Vince D. Calhoun,José M. Cañive,Robert J. Thoma,Andrew R. Mayer,Andrew R. Mayer +8 more
TL;DR: Results indicated that TID analyses, ICA, and seed‐based correlation all consistently identified the midline (anterior and posterior cingulate gyrus) and lateral parietal cortex as core regions of the DMN, as well as more variable involvement of temporal lobe structures.
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Interrater and intermethod reliability of default mode network selection.
Alexandre Rosa Franco,Aaron Pritchard,Vince D. Calhoun,Vince D. Calhoun,Andrew R. Mayer,Andrew R. Mayer +5 more
TL;DR: Results indicated that near perfect interrater reliability was achieved, whereas intermethod reliability was only within the moderate range, whereas the latter was significantly improved via a weighted combination of the anterior and posterior cingulate nodes of the DMN.
Journal ArticleDOI
The neural networks underlying auditory sensory gating.
Andrew R. Mayer,Andrew R. Mayer,Faith M. Hanlon,Faith M. Hanlon,Alexandre Rosa Franco,Alexandre Rosa Franco,Terri M. Teshiba,Robert J. Thoma,Robert J. Thoma,Vincent P. Clark,Vincent P. Clark,José M. Cañive,José M. Cañive +12 more
TL;DR: Results supported an emerging theory that the gating response for both paired-tone conditions was primarily mediated by auditory and prefrontal cortex, with potential contributions from the thalamus and there was no evidence of hippocampal involvement.