OBJECTIVE: Alzheimer disease (AD) and frontotemporal lobar degeneration (FTLD) are hypothesized to cause clinically distinct forms of primary progressive aphasia (PPA) that predominantly affect expressive speech. AD is thought to cause logopenic progressive aphasia (LPA), and FTLD may cause progressive nonfluent aphasia (PNFA). We sought to determine the value of clinical characterization, neuropsychological analysis, and MRI atrophy in predicting pathology of LPA and PNFA. METHODS: Patients with LPA (n = 19) and patients with PNFA (n = 19) were evaluated with neuropsychological assessments, structural MRI, CSF analysis, and neuropathologic examination. RESULTS: Twelve of 19 patients with LPA (63%) and 6 of 19 patients with PNFA (32%) had neuropathologic findings or CSF biomarkers consistent with AD. Neuropsychological testing showed that naming was more impaired in patients with AD, and letter-guided fluency was more affected in patients with a non-AD disorder. Voxel-based morphometry analysis revealed that in patients with AD, patients with LPA and PNFA had significant posterior-superior temporal atrophy; in patients with non-AD, patients with LPA had peri-Sylvian atrophy and patients with PNFA had dorsolateral prefrontal and insular atrophy. Receiver operator characteristic curve analysis showed that combining neuropsychological testing with MRI atrophy pattern had 90% specificity for pathology or CSF biomarkers consistent with AD, and combining clinical features with neuropsychological analysis had 100% sensitivity for pathology or CSF biomarkers consistent with AD. CONCLUSIONS: Neither PPA phenotyping nor imaging alone is a reliable predictor of pathology. Multimodal predictors, such as combining neuropsychological testing with MRI analysis, can improve noninvasive prediction of underlying pathology in nonfluent forms of PPA.
OBJECTIVE:Alzheimer disease (AD) and frontotemporal lobar degeneration (FTLD) are hypothesized to cause clinically distinct forms of primary progressive aphasia (PPA) that predominantly affect expressive speech. AD is thought to cause logopenic progressive aphasia (LPA), and FTLD may cause progressive nonfluent aphasia (PNFA). We sought to determine the value of clinical characterization, neuropsychological analysis, and MRI atrophy in predicting pathology of LPA and PNFA. METHODS:Patients with LPA (n = 19) and patients with PNFA (n = 19) were evaluated with neuropsychological assessments, structural MRI, CSF analysis, and neuropathologic examination. RESULTS: Twelve of 19 patients with LPA (63%) and 6 of 19 patients with PNFA (32%) had neuropathologic findings or CSF biomarkers consistent with AD. Neuropsychological testing showed that naming was more impaired in patients with AD, and letter-guided fluency was more affected in patients with a non-AD disorder. Voxel-based morphometry analysis revealed that in patients with AD, patients with LPA and PNFA had significant posterior-superior temporal atrophy; in patients with non-AD, patients with LPA had peri-Sylvian atrophy and patients with PNFA had dorsolateral prefrontal and insular atrophy. Receiver operator characteristic curve analysis showed that combining neuropsychological testing with MRI atrophy pattern had 90% specificity for pathology or CSF biomarkers consistent with AD, and combining clinical features with neuropsychological analysis had 100% sensitivity for pathology or CSF biomarkers consistent with AD. CONCLUSIONS: Neither PPA phenotyping nor imaging alone is a reliable predictor of pathology. Multimodal predictors, such as combining neuropsychological testing with MRI analysis, can improve noninvasive prediction of underlying pathology in nonfluent forms of PPA.
Authors: D Neary; J S Snowden; L Gustafson; U Passant; D Stuss; S Black; M Freedman; A Kertesz; P H Robert; M Albert; K Boone; B L Miller; J Cummings; D F Benson Journal: Neurology Date: 1998-12 Impact factor: 9.910
Authors: K A Josephs; R C Petersen; D S Knopman; B F Boeve; J L Whitwell; J R Duffy; J E Parisi; D W Dickson Journal: Neurology Date: 2006-01-10 Impact factor: 9.910
Authors: J J Hauw; S E Daniel; D Dickson; D S Horoupian; K Jellinger; P L Lantos; A McKee; M Tabaton; I Litvan Journal: Neurology Date: 1994-11 Impact factor: 9.910
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: M L Gorno-Tempini; S M Brambati; V Ginex; J Ogar; N F Dronkers; A Marcone; D Perani; V Garibotto; S F Cappa; B L Miller Journal: Neurology Date: 2008-07-16 Impact factor: 9.910
Authors: Corey T McMillan; Brian B Avants; Philip Cook; Lyle Ungar; John Q Trojanowski; Murray Grossman Journal: Hum Brain Mapp Date: 2014-03-31 Impact factor: 5.038
Authors: Sladjana Lukic; Maria Luisa Mandelli; Ariane Welch; Kesshi Jordan; Wendy Shwe; John Neuhaus; Zachary Miller; H Isabel Hubbard; Maya Henry; Bruce L Miller; Nina F Dronkers; Maria Luisa Gorno-Tempini Journal: Brain Lang Date: 2019-05-02 Impact factor: 2.381