OBJECTIVE: To identify clinical features in behavioral-variant frontotemporal dementia that may help predict tau-positive pathology. METHODS: Clinical and historical features of patients with pathologically confirmed tau-positive and tau-negative frontotemporal lobar degeneration from 1970 to 2006 were retrospectively reviewed in a blinded fashion. The initial clinical features of those patients who eventually met consensus criteria for frontotemporal dementia were examined using univariate and cluster analyses to explore characteristics that may be associated with tau pathology. RESULTS: Fifty-six patients (24 tau-positive cases) were included in the analysis. There was no difference in demographics between the tau-positive and tau-negative cases. Univariate analysis showed that poor planning and/or judgment was more commonly associated with tau-positive pathology (P = .03). Cluster analysis using behavioral characteristics identified 2 groups of patients: cluster 1 contained mainly tau-positive cases (57%) and cluster 2 was mostly tau-negative cases (71%). Poor planning and/or judgment was a common presenting sign in the first group (P < .001), while the second group was more likely to present with impaired regulation of personal conduct (P < .001) and a decline in personal hygiene (P = .005). CONCLUSIONS: Poor planning and/or judgment was associated with behavioral-variant frontotemporal dementia patients who had tau-positive pathology. The constellation of impaired personal conduct and a paucity of dysexecutive symptoms identified tau-negative patients.
OBJECTIVE: To identify clinical features in behavioral-variant frontotemporal dementia that may help predict tau-positive pathology. METHODS: Clinical and historical features of patients with pathologically confirmed tau-positive and tau-negative frontotemporal lobar degeneration from 1970 to 2006 were retrospectively reviewed in a blinded fashion. The initial clinical features of those patients who eventually met consensus criteria for frontotemporal dementia were examined using univariate and cluster analyses to explore characteristics that may be associated with tau pathology. RESULTS: Fifty-six patients (24 tau-positive cases) were included in the analysis. There was no difference in demographics between the tau-positive and tau-negative cases. Univariate analysis showed that poor planning and/or judgment was more commonly associated with tau-positive pathology (P = .03). Cluster analysis using behavioral characteristics identified 2 groups of patients: cluster 1 contained mainly tau-positive cases (57%) and cluster 2 was mostly tau-negative cases (71%). Poor planning and/or judgment was a common presenting sign in the first group (P < .001), while the second group was more likely to present with impaired regulation of personal conduct (P < .001) and a decline in personal hygiene (P = .005). CONCLUSIONS: Poor planning and/or judgment was associated with behavioral-variant frontotemporal dementiapatients who had tau-positive pathology. The constellation of impaired personal conduct and a paucity of dysexecutive symptoms identified tau-negative patients.
Authors: W T Hu; A Chen-Plotkin; M Grossman; S E Arnold; C M Clark; L M Shaw; L McCluskey; L Elman; H I Hurtig; A Siderowf; V M-Y Lee; H Soares; J Q Trojanowski Journal: Neurology Date: 2010-11-03 Impact factor: 9.910
Authors: Corey T McMillan; David J Irwin; Brian B Avants; John Powers; Philip A Cook; Jon B Toledo; Elisabeth McCarty Wood; Vivianna M Van Deerlin; Virginia M-Y Lee; John Q Trojanowski; Murray Grossman Journal: J Neurol Neurosurg Psychiatry Date: 2013-03-09 Impact factor: 10.154
Authors: David J Irwin; Corey T McMillan; Sharon X Xie; Katya Rascovsky; Vivianna M Van Deerlin; H Branch Coslett; Roy Hamilton; Geoffrey K Aguirre; Edward B Lee; Virginia M Y Lee; John Q Trojanowski; Murray Grossman Journal: Brain Date: 2018-01-01 Impact factor: 13.501
Authors: David S Knopman; Joel H Kramer; Bradley F Boeve; Richard J Caselli; Neill R Graff-Radford; Mario F Mendez; Bruce L Miller; Nathaniel Mercaldo Journal: Brain Date: 2008-10-01 Impact factor: 13.501
Authors: Jennifer L Whitwell; Scott A Przybelski; Stephen D Weigand; Robert J Ivnik; Prashanthi Vemuri; Jeffrey L Gunter; Matthew L Senjem; Maria M Shiung; Bradley F Boeve; David S Knopman; Joseph E Parisi; Dennis W Dickson; Ronald C Petersen; Clifford R Jack; Keith A Josephs Journal: Brain Date: 2009-09-17 Impact factor: 13.501