BACKGROUND AND PURPOSE: Frontostriatal circuits involving the caudate nucleus have been implicated in frontotemporal lobar degeneration (FTLD). We assessed caudate nucleus volumetrics in FTLD and subtypes: frontotemporal dementia (FTD, n = 12), semantic dementia (SD, n = 13), and progressive nonfluent aphasia (PNFA, n = 9) in comparison with healthy controls (n = 27) and subjects with Alzheimer disease (AD, n = 19). MATERIALS AND METHODS: Diagnoses were based on accepted clinical criteria. Manual volume measurement of the head and body of the caudate, excluding the tail, was conducted on T1-weighted brain MR imaging scans, using a published protocol, by a single analyst blinded to the diagnosis. RESULTS: Paired t tests (P < .05) showed that the right caudate nucleus volume was significantly larger than the left in controls and PNFA. No hemispheric asymmetry was found in AD, FTD, and SD. Across the groups, there was a positive partial correlation between the left caudate nucleus volume and Mini-Mental State Examination (MMSE) scores (r = 0.393, n = 76, P = .001) with higher left caudate volumes associated with higher MMSE scores. Multivariate analysis of covariance was used to assess the statistical significance between the subject groups (AD, FTD, SD, PNFA, and controls) as independent variables and raw right/left caudate volumes at the within-subject level (covariates: age and intracranial volume; P < .05). Control volume was largest, followed by AD (93% of control volume), SD (92%), PNFA (79%), and FTD (75%). CONCLUSIONS: Volume of the head and body of the caudate nucleus differs in subtypes of FTLD, due to differential frontostriatal dysfunction in subtypes being reflected in structural change in the caudate, and is correlated with cognition.
BACKGROUND AND PURPOSE: Frontostriatal circuits involving the caudate nucleus have been implicated in frontotemporal lobar degeneration (FTLD). We assessed caudate nucleus volumetrics in FTLD and subtypes: frontotemporal dementia (FTD, n = 12), semantic dementia (SD, n = 13), and progressive nonfluent aphasia (PNFA, n = 9) in comparison with healthy controls (n = 27) and subjects with Alzheimer disease (AD, n = 19). MATERIALS AND METHODS: Diagnoses were based on accepted clinical criteria. Manual volume measurement of the head and body of the caudate, excluding the tail, was conducted on T1-weighted brain MR imaging scans, using a published protocol, by a single analyst blinded to the diagnosis. RESULTS: Paired t tests (P < .05) showed that the right caudate nucleus volume was significantly larger than the left in controls and PNFA. No hemispheric asymmetry was found in AD, FTD, and SD. Across the groups, there was a positive partial correlation between the left caudate nucleus volume and Mini-Mental State Examination (MMSE) scores (r = 0.393, n = 76, P = .001) with higher left caudate volumes associated with higher MMSE scores. Multivariate analysis of covariance was used to assess the statistical significance between the subject groups (AD, FTD, SD, PNFA, and controls) as independent variables and raw right/left caudate volumes at the within-subject level (covariates: age and intracranial volume; P < .05). Control volume was largest, followed by AD (93% of control volume), SD (92%), PNFA (79%), and FTD (75%). CONCLUSIONS: Volume of the head and body of the caudate nucleus differs in subtypes of FTLD, due to differential frontostriatal dysfunction in subtypes being reflected in structural change in the caudate, and is correlated with cognition.
Authors: J Eritaia; S J Wood; G W Stuart; N Bridle; P Dudgeon; P Maruff; D Velakoulis; C Pantelis Journal: Magn Reson Med Date: 2000-12 Impact factor: 4.668
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: Myong-Sun Choe; Silvia Ortiz-Mantilla; Nikos Makris; Matt Gregas; Janine Bacic; Daniel Haehn; David Kennedy; Rudolph Pienaar; Verne S Caviness; April A Benasich; P Ellen Grant Journal: Cereb Cortex Date: 2012-07-06 Impact factor: 5.357
Authors: Eric Maltbie; Kshamta Bhatt; Beatriz Paniagua; Rachel G Smith; Michael M Graves; Matthew W Mosconi; Sarah Peterson; Scott White; Joseph Blocher; Mohammed El-Sayed; Heather C Hazlett; Martin A Styner Journal: Neuroimage Date: 2011-08-26 Impact factor: 6.556
Authors: Katherine L Possin; Hosung Kim; Michael D Geschwind; Tacie Moskowitz; Erica T Johnson; Sharon J Sha; Alexandra Apple; Duan Xu; Bruce L Miller; Steven Finkbeiner; Christopher P Hess; Joel H Kramer Journal: Neuropsychologia Date: 2017-04-17 Impact factor: 3.139
Authors: Cathra Halabi; Anasheh Halabi; David L Dean; Pei-Ning Wang; Adam L Boxer; John Q Trojanowski; Stephen J Dearmond; Bruce L Miller; Joel H Kramer; William W Seeley Journal: Alzheimer Dis Assoc Disord Date: 2013 Jan-Mar Impact factor: 2.703
Authors: Jeffrey C L Looi; Priya Rajagopalan; Mark Walterfang; Sarah K Madsen; Paul M Thompson; Matthew D Macfarlane; Chris Ching; Phyllis Chua; Dennis Velakoulis Journal: Aust N Z J Psychiatry Date: 2012-09-18 Impact factor: 5.744
Authors: J C L Looi; L Svensson; O Lindberg; B B Zandbelt; P Ostberg; E Orndahl; L-O Wahlund Journal: AJNR Am J Neuroradiol Date: 2009-06-04 Impact factor: 3.825
Authors: T T Winton-Brown; A Ting; R Mocellin; M Walterfang; D Velakoulis; F Gaillard Journal: AJNR Am J Neuroradiol Date: 2016-01-07 Impact factor: 3.825
Authors: Harro Seelaar; Kirsten Y Klijnsma; Inge de Koning; Aad van der Lugt; Wang Zheng Chiu; Asma Azmani; Annemieke J M Rozemuller; John C van Swieten Journal: J Neurol Date: 2009-11-28 Impact factor: 4.849