The neural substrates of transdiagnostic cognitive-linguistic heterogeneity in primary progressive aphasia

[81] Boutet C(2016)An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging Neuroimage 125 1063-352

[82] Valabregue R(2010)N4ITK: improved N3 bias correction IEEE Trans Med Imaging 29 1310-83

[83] Ferrieux S(2015)The connectomics of brain disorders Nat Rev Neurosci 16 159-1029

[84] Nogues M(2005)The human connectome: a structural description of the human brain PLoS Comput Biol 1 e42-70

[85] Lehéricy S(2002)Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain Neuroimage 15 273-317

[86] Ramanan S(2015)A MATLAB toolbox for Principal Component Analysis and unsupervised exploration of data structure Chemometr Intell Lab Syst 149 1-198

[87] Roquet D(2010)Practical approaches to principal component analysis in the presence of missing values J Mach Learn Res 11 1957-55

[88] Goldberg ZL(1999)Probabilistic principal component analysis J R Stat Soc 61 611-636

[89] Hodges JR(2009)Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference Neuroimage 44 83-41

[90] Piguet O(2010)Network-based statistic: identifying differences in brain networks Neuroimage 53 1197-281

[81] Boutet C(2016)An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging Neuroimage 125 1063-352

[82] Valabregue R(2010)N4ITK: improved N3 bias correction IEEE Trans Med Imaging 29 1310-83

[83] Ferrieux S(2015)The connectomics of brain disorders Nat Rev Neurosci 16 159-1029

[84] Nogues M(2005)The human connectome: a structural description of the human brain PLoS Comput Biol 1 e42-70

[85] Lehéricy S(2002)Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain Neuroimage 15 273-317

[86] Ramanan S(2015)A MATLAB toolbox for Principal Component Analysis and unsupervised exploration of data structure Chemometr Intell Lab Syst 149 1-198

[87] Roquet D(2010)Practical approaches to principal component analysis in the presence of missing values J Mach Learn Res 11 1957-55

[88] Goldberg ZL(1999)Probabilistic principal component analysis J R Stat Soc 61 611-636

[89] Hodges JR(2009)Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference Neuroimage 44 83-41

[90] Piguet O(2010)Network-based statistic: identifying differences in brain networks Neuroimage 53 1197-281