BACKGROUND: The identification of specific, diagnostically useful predictors of protein dysfunction in the frontotemporal lobar degenerations (FTLD) is a problem of great clinical and biological interest. Correlations between regional patterns of tissue loss and specific proteinopathies have not been established. OBJECTIVE: Specific brain imaging correlates of protein tau dysfunction were sought using voxel-based morphometry in FTLD subgroups with and without tau pathology. METHODS: Seventeen patients with pathologically or genetically confirmed diagnoses of FTLD who had undergone volumetric brain magnetic resonance imaging (MRI) were identified retrospectively and tau-positive (n = 9) and tau-negative (n = 8) subgroups were defined. MRI data were compared with healthy age- and sex-matched controls using voxel-based morphometry implemented in a statistical parametric mapping software package. RESULTS: Compared with controls, tau-positive and tau-negative subgroups had extensive common areas of regional brain atrophy predominantly affecting the frontal and anterior temporal lobes. No specific brain imaging features were identified for either subgroup. CONCLUSION: Patterns of frontotemporal atrophy do not predict the presence or absence of tau pathology; conversely, different immunohistochemical profiles are associated with similar patterns of regional vulnerability to neuronal loss in FTLD. Copyright 2004 S. Karger AG, Basel.
BACKGROUND: The identification of specific, diagnostically useful predictors of protein dysfunction in the frontotemporal lobar degenerations (FTLD) is a problem of great clinical and biological interest. Correlations between regional patterns of tissue loss and specific proteinopathies have not been established. OBJECTIVE: Specific brain imaging correlates of protein tau dysfunction were sought using voxel-based morphometry in FTLD subgroups with and without tau pathology. METHODS: Seventeen patients with pathologically or genetically confirmed diagnoses of FTLD who had undergone volumetric brain magnetic resonance imaging (MRI) were identified retrospectively and tau-positive (n = 9) and tau-negative (n = 8) subgroups were defined. MRI data were compared with healthy age- and sex-matched controls using voxel-based morphometry implemented in a statistical parametric mapping software package. RESULTS: Compared with controls, tau-positive and tau-negative subgroups had extensive common areas of regional brain atrophy predominantly affecting the frontal and anterior temporal lobes. No specific brain imaging features were identified for either subgroup. CONCLUSION: Patterns of frontotemporal atrophy do not predict the presence or absence of tau pathology; conversely, different immunohistochemical profiles are associated with similar patterns of regional vulnerability to neuronal loss in FTLD. Copyright 2004 S. Karger AG, Basel.
Authors: Jennifer L Whitwell; Clifford R Jack; Matthew L Senjem; Joseph E Parisi; Bradley F Boeve; David S Knopman; Dennis W Dickson; Ronald C Petersen; Keith A Josephs Journal: Neurodegener Dis Date: 2009-03-19 Impact factor: 2.977
Authors: M Grossman; S X Xie; D J Libon; X Wang; L Massimo; P Moore; L Vesely; R Berkowitz; A Chatterjee; H B Coslett; H I Hurtig; M S Forman; V M-Y Lee; J Q Trojanowski Journal: Neurology Date: 2008-04-16 Impact factor: 9.910
Authors: J M S Pereira; G B Williams; J Acosta-Cabronero; G Pengas; M G Spillantini; J H Xuereb; J R Hodges; P J Nestor Journal: Neurology Date: 2009-05-12 Impact factor: 9.910
Authors: E J Kim; G D Rabinovici; W W Seeley; C Halabi; H Shu; M W Weiner; S J DeArmond; J Q Trojanowski; M L Gorno-Tempini; B L Miller; H J Rosen Journal: J Neurol Neurosurg Psychiatry Date: 2007-07-05 Impact factor: 10.154
Authors: S Davion; N Johnson; S Weintraub; M-M Mesulam; A Engberg; M Mishra; M Baker; J Adamson; M Hutton; R Rademakers; E H Bigio Journal: Neurology Date: 2007-05-23 Impact factor: 9.910
Authors: Jennifer L Whitwell; Clifford R Jack; Joseph E Parisi; David S Knopman; Bradley F Boeve; Ronald C Petersen; Tanis J Ferman; Dennis W Dickson; Keith A Josephs Journal: Brain Date: 2007-03-08 Impact factor: 13.501