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Journal Article
by Yang, ZS and Zhuang, XW and Sreenivasan, K and Mishra, V and Cordes, D and Weiner, MW and Aisen, P and Weiner, M and Petersen, R and Jack, CR and Jagust, W and Trojanowki, JQ and Toga, AW and Beckett, L and Green, RC and Saykin, AJ and Morris, J and Shaw, LM and Khachaturian, Z and Sorensen, G and Carrillo, M and Kuller, L and Raichle, M and Paul, S and Davies, P and Fillit, H and Hefti, F and Holtzman, D and Mesulam, MM and Potter, W and Snyder, P and Lilly, E and Logovinsky, V and Montine, T and Jimenez, G and Donohue, M and Gessert, D and Harless, K and Salazar, J and Cabrera, Y and Walter, S and Hergesheimer, L and Harvey, D and Bernstein, M and Fox, N and Thompson, P and Schuff, N and DeCArli, C and Borowski, B and Gunter, J and Senjem, M and Vemuri, P and Jones, D and Kantarci, K and Ward, C and Koeppe, RA and Foster, N and Reiman, EM and Chen, KW and Mathis, C and Landau, S and Morris, JC and Cairns, NJ and Franklin, E and Taylor-Reinwald, L and Lee, V and Korecka, M and Figurski, M and Crawford, K and Neu, S and Foroud, TM and Potkin, S and Shen, L and Faber, K and Kim, S and Nho, K and Thal, L and Buckholtz, N and Snyder, PJ and Albert, M and Frank, R and Hsiao, J and Quinn, J and Silbert, LC and Lind, B and Kaye, JA and Carter, R and Dolen, S and Schneider, LS and Pawluczyk, S and Becerra, M and Teodoro, L and Spann, BM and Brewer, J and Vanderswag, H and Fleisher, A and Ziolkowski, J and Heidebrink, JL and Lord, JL and Mason, SS and ... and Alzheimers Dis Neuroimaging Initia and Alzheimer’s Disease Neuroimaging Initiative and the Alzheimer’s Disease Neuroimaging Initiative
FRONTIERS IN NEUROSCIENCE, ISSN 1662-453X, 02/2019, Volume 13, p. 169
Journal Article
Journal of cognitive neuroscience, ISSN 0898-929X, 10/2019, Volume 31, Issue 10, pp. 1506 - 1519
Journal Article
Cerebral Cortex, ISSN 1047-3211, 06/2019, Volume 29, Issue 6, pp. 2455 - 2469
Abstract The ability to make individual-level predictions from neuroanatomy has the potential to be particularly useful in child development. Previously,... 
development | MULTIVARIATE CLASSIFICATION | MRI | PATTERNS | NETWORKS | machine learning | HEAD MOTION | NEUROSCIENCES | CONFOUND REGRESSION | ORGANIZATION | fMRI | functional connectivity | DEVELOPMENTAL-CHANGES | GLOBAL SIGNAL | AGE
Journal Article
NeuroImage, ISSN 1053-8119, 04/2020, Volume 209, p. 116433
The impact of in-scanner motion on functional magnetic resonance imaging (fMRI) data has a notorious reputation in the neuroimaging community. State-of-the-art... 
Resting-state fMRI | Behaviour | Partial least squares analysis | Motion artefacts | Spatio-temporal motion | SIGNAL | MRI | NOISE | HEAD MOTION | INTRINSIC FUNCTIONAL CONNECTIVITY | NEUROSCIENCES | NEUROIMAGING | CONFOUND REGRESSION | STRATEGIES | ORGANIZATION | VARIABILITY | ARTIFACT | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Journal Article