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Shape Analysis of the Neostriatum in Frontotemporal Lobar Degeneration, Alzheimer's Disease, and Controls

Institution:	1Research Centre for the Neurosciences of Ageing, Academic Unit of Psychological Medicine, Australian National University Medical School, Canberra Hospital, Canberra, Australia. Jeffrey.looi@anu.edu.au 2Karolinska Institute, Department of Neurobiology, Caring Sciences and Society, Division of Clinical Geriatrics, Huddinge, Stockholm, Sweden 3Melbourne Neuropsychiatry Centre, Royal Melbourne Hospital and University of Melbourne, Melbourne, Australia 4Department of Computer Science and Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA 5Karolinska University Hospital, Hospital Physics and Radiology, Huddinge, Stockholm, Sweden 6Alfred Psychiatry Research Centre, Monash University, Melbourne, Australia
Publisher:	Elsevier Science
Publication Date:	Jul-2010
Journal:	Neuroimage
Volume Number:	51
Issue Number:	3
Pages:	970-86
Citation:	Neuroimage. 2010 Jul 1;51(3):970-86.
PubMed ID:	20156566
Keywords:	Projects:ShapeAnalysisFrameworkUsingSPHARMPDM
Appears in Collections:	NA-MIC
Generated Citation:	Looi J.C.L., Walterfang M., Styner M., Svensson L., Lindberg O., Ostberg P., Botes L., Orndahl E., Chua P., Kumar R., Velakoulis D., Wahlund L-O. Shape Analysis of the Neostriatum in Frontotemporal Lobar Degeneration, Alzheimer's Disease, and Controls. Neuroimage. 2010 Jul 1;51(3):970-86. PMID: 20156566.
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Frontostriatal circuit mediated cognitive dysfunction has been implicated in frontotemporal lobar degeneration (FTLD), but not Alzheimer's disease, or healthy aging. We measured the neostriatum (caudate nucleus and putamen) volume in FTLD (n=34), in comparison with controls (n=27) and Alzheimer's disease (AD, n=19) subjects. METHODS: Diagnoses were based on international consensus criteria. Manual bilateral segmentation of the caudate nucleus and putamen was conducted blind to diagnosis by a single analyst, on MRI scans using a standardized protocol. Intra-cranial volume was calculated via a stereological point counting technique and was used for scaling the shape analysis. The manual segmentation binaries were analyzed using UNC Shape Analysis tools (University of North Carolina) to perform comparisons among FTLD, AD, and controls for global shape, local p-value significance maps, and mean magnitude of shape displacement. RESULTS: Shape analysis revealed that there was significant shape difference between FTLD, AD, and controls, consistent with the predicted frontostriatal dysfunction and of significant magnitude, as measured by displacement maps. There was a lateralized difference in shape for the left caudate for FTLD compared to AD; non-specific global atrophy in AD compared to controls; while FTLD showed a more specific pattern in regions relaying fronto- and corticostriatal circuits. CONCLUSIONS: Shape analysis shows regional specificity of atrophy, manifest as shape deflation, with implications for frontostriatal and corticostriatal motoric circuits, in FTLD, AD, and controls.

Looi-Neuroimage2010-fig2a.jpg (224.105kB)