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1.
Neuroimage Clin ; 20: 236-242, 2018.
Article in English | MEDLINE | ID: mdl-30090698

ABSTRACT

Although much prior work has focused on the basal ganglia and cortical pathology that defines Huntington's disease (HD), recent studies have also begun to characterize cerebral white matter damage (Rosas et al., 2006; Dumas et al., 2012; Poudel et al., 2014). In this study, we investigated differences in the large fascicular bundles of the cerebral white matter of gene-positive HD carriers, including pre-manifest individuals and early symptomatic patients, using recently developed diffusion tractography procedures. We examined eighteen major fiber bundles in 37 patients with early HD (average age 55.2 ±â€¯11.5, 14 male, 23 female), 31 gene-positive, motor negative pre-symptomatic HD (PHD) (average age 48.1 ±â€¯11.5, 13 male, 18 female), and 38 healthy age-matched controls (average age 55.7 ±â€¯8.6, 14 male, 24 female), using the TRActs Constrained by UnderLying Anatomy (TRACULA) procedure available as part of the FreeSurfer image processing software package. We calculated the mean fractional anisotropy (FA) and the mean radial (RD) and axial diffusivities (AD) for each fiber bundle. We also evaluated the relationships between diffusion measures, cognition and regional cortical thinning. We found that early changes in RD of select tracts in PHD subjects were associated with impaired performance on neuropsychological tests, suggesting that early changes in myelin might underlie early cognitive dysfunction. Finally, we found that increases in AD of select tracts were associated with regionally select cortical thinning of areas known to atrophy in HD, including the sensorimotor, supramarginal and fusiform gyrus, suggesting that AD may be reflecting pyramidal cell degeneration in HD. Together, these results suggest that white matter microstructural changes in HD reflect a complex, clinically relevant and dynamic process.


Subject(s)
Axons , Diffusion Magnetic Resonance Imaging/methods , Huntington Disease/diagnostic imaging , Myelin Sheath , Nerve Degeneration/diagnostic imaging , Nerve Fibers, Myelinated , Adult , Aged , Axons/pathology , Cohort Studies , Diffusion Tensor Imaging/methods , Female , Humans , Huntington Disease/pathology , Male , Middle Aged , Myelin Sheath/pathology , Nerve Degeneration/pathology , Nerve Fibers, Myelinated/pathology , Single-Blind Method , Time Factors
2.
Am J Alzheimers Dis Other Demen ; 30(8): 752-5, 2015 Dec.
Article in English | MEDLINE | ID: mdl-26320231

ABSTRACT

BACKGROUND: Brain tissue analysis is necessary to confirm prion diseases. Clinically unsuspected cases may be identified through neuropathologic testing. METHODS: National Alzheimer's Coordinating Center (NACC) Minimum and Neuropathologic Data Set for 1984 to 2005 were reviewed. Eligible patients had dementia, underwent autopsy, had available neuropathologic data, belonged to a currently funded Alzheimer's Disease Center (ADC), and were coded as having an Alzheimer's disease clinical diagnosis or a nonprion disease etiology. For the eligible patients with neuropathology indicating prion disease, further clinical information, collected from the reporting ADC, determined whether prion disease was considered before autopsy. RESULTS: Of 6000 eligible patients in the NACC database, 7 (0.12%) were clinically unsuspected but autopsy-confirmed prion disease cases. CONCLUSION: The proportion of patients with dementia with clinically unrecognized but autopsy-confirmed prion disease was small. Besides confirming clinically suspected cases, neuropathology is useful to identify unsuspected clinically atypical cases of prion disease.


Subject(s)
Alzheimer Disease/diagnosis , Creutzfeldt-Jakob Syndrome/diagnosis , Gerstmann-Straussler-Scheinker Disease/diagnosis , Registries , Aged , Aged, 80 and over , Alzheimer Disease/epidemiology , Autopsy , Creutzfeldt-Jakob Syndrome/epidemiology , Female , Gerstmann-Straussler-Scheinker Disease/epidemiology , Humans , Male , Middle Aged
3.
Neurology ; 72(21): 1843-9, 2009 May 26.
Article in English | MEDLINE | ID: mdl-19470967

ABSTRACT

BACKGROUND: Measurement of volumetric changes with MR might be a useful surrogate endpoint for clinical trials in frontotemporal lobar degeneration (FTLD). Because there is only limited longitudinal imaging data currently available, we measured the rate of change over 1 year of whole brain volume (WBV) and ventricular volume (VV) in patients with FTLD. METHODS: Subjects with an FTLD cognitive syndrome were recruited from five centers using standard clinical diagnostic criteria for behavioral variant frontotemporal dementia (bvFTD), progressive nonfluent aphasia (PNFA), semantic dementia (SMD), and progressive logopenic aphasia. Structural brain imaging, using three-dimensional T1-weighted sequences at 1.5 teslas, and cognitive, behavioral, and functional assessments were performed at baseline and approximately 1 year later. The boundary shift integral algorithm was used to determine change in WBV and VV. RESULTS: There were 76 patients (mean age 64 years; 41 men and 35 women) who had usable baseline and annual scans. The group-wise annualized change was -1.62% (SD 1.03, range +0.69 to -3.6) for WBV and 11.6% (SD 5.9, range -1.3 to 23.9) for VV. Rates of change were similar among bvFTD, PNFA, and SMD groups. Longitudinal changes in WBV and VV were correlated with decline on clinical global and cognitive measures. CONCLUSIONS: Multicenter, serial measurements of whole brain volume (WBV) and ventricular volume (VV) from magnetic resonance scans were feasible in patients with frontotemporal lobar degeneration (FTLD). Using WBV or VV as outcome measures would require recruiting (at 80% power) 139 or 55 subjects per group to detect a small (25%) or medium-sized (40%) effect in a randomized, placebo-controlled trial of a putative agent for FTLD.


Subject(s)
Brain/pathology , Cerebral Ventricles/pathology , Dementia/pathology , Aged , Algorithms , Aphasia/pathology , Aphasia, Primary Progressive/pathology , Clinical Trials as Topic , Female , Follow-Up Studies , Humans , Linear Models , Magnetic Resonance Imaging , Male , Middle Aged , Organ Size , Severity of Illness Index
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