Differential putaminal morphology in Huntington's disease, frontotemporal dementia and Alzheimer's disease

• Published in: Australian and New Zealand journal of psychiatry Vol. 46; no. 12; p. 1145
• Main Authors: Looi, Jeffrey C L, Rajagopalan, Priya, Walterfang, Mark, Madsen, Sarah K, Thompson, Paul M, Macfarlane, Matthew D, Ching, Chris, Chua, Phyllis, Velakoulis, Dennis
• Format: Journal Article
• Language: English
• Published: England 01.12.2012
• Subjects: Adult; Age Factors; Alzheimer Disease - diagnosis; Alzheimer Disease - pathology; Alzheimer Disease - physiopathology; Alzheimer Disease - psychology; Atrophy; Behavioral Symptoms - pathology; Behavioral Symptoms - physiopathology; Cross-Sectional Studies; Female; Frontotemporal Dementia - diagnosis; Frontotemporal Dementia - pathology; Frontotemporal Dementia - physiopathology; Frontotemporal Dementia - psychology; Humans; Huntington Disease - diagnosis; Huntington Disease - pathology; Huntington Disease - physiopathology; Huntington Disease - psychology; Intelligence Tests; Magnetic Resonance Imaging - methods; Male; Middle Aged; Motor Cortex - physiopathology; Neural Pathways - physiopathology; Organ Size; Putamen - pathology; Putamen - physiopathology; Sex Factors
• ISSN: 1440-1614
• DOI: 10.1177/0004867412457224

Direct neuronal loss or deafferentation of the putamen, a critical hub in corticostriatal circuits, may result in diverse and distinct cognitive and motoric dysfunction in neurodegenerative disease. Differential putaminal morphology, as a quantitative measure of corticostriatal integrity, may thus be evident in Huntington's disease (HD), Alzheimer's disease (AD) and frontotemporal dementia (FTD), diseases with differential clinical dysfunction. HD (n = 17), FTD (n = 33) and AD (n = 13) patients were diagnosed according to international consensus criteria and, with healthy controls (n = 17), were scanned on the same MRI scanner. Patients underwent brief cognitive testing using the Neuropsychiatry Unit Cognitive Assessment Tool (NUCOG). Ten MRI scans from this dataset were manually segmented as a training set for the Adaboost algorithm, which automatically segmented all remaining scans for the putamen, yielding the following subset of the data: 9 left and 12 right putamen segmentations for AD; 25 left and 26 right putamina for FTD; 16 left and 15 right putamina for HD; 12 left and 12 right putamina for controls. Shape analysis was performed at each point on the surface of each structure using a multiple regression controlling for age and sex to compare radial distance across diagnostic groups. Age, but not sex and intracranial volume (ICV), were significantly different in the segmentation subgroups by diagnosis. The AD group showed significantly poorer performance on cognitive testing than FTD. Mean putaminal volumes were HD < FTD < AD ≤ controls, controlling for age and ICV. The greatest putaminal shape deflation was evident in HD, followed by FTD, in regions corresponding to the interconnections to motoric cortex. Differential patterns of putaminal atrophy in HD, FTD and AD, with relevance to corticostriatal circuits, suggest the putamen may be a suitable clinical biomarker in neurodegenerative disease.