There were a lot of basses on that list which I absolutely hated (All of the basses from #7 on- were within the last 14-16 months), but also a lot which I absolutely loved. In conclusion, structural brain alterations compared to physiological variations are the dominant features of MRI in AD.While I don't have a long list of amazingly beautiful and great sounding basses like some here (*cough*naetog*cough*), I still have had a decent number of basses:ġ.) Ibanez SR400 (or 410 or was metallic green, and I haven't been able to find another one like it)ģ.) Squier Affinity Precision multicolor (spraypainted by yours truly)Ĥ.) OLP MM3 black/maple (Stingray 5 knockoff)ĥ.) Spector Performer black quilted mapleġ0.) Warwick Corvette Standard passive bubinga 4ġ3.) Warwick Corvette Standard passive ash 5ġ6.) Warwick Corvette Standard active bubinga 5Ĭurrently the Streamer LX, Ra圓5, parts P-bass, OLP SR5, and Squier precision 5 are still in my possession. Compared to reduced rCBF, regional cortical thinning better explained the variability in dementia severity. However there was also a positive interaction between reduced rCBF and cortical thinning in the right superior temporal sulcus, implying that structural and physiological brain alterations in AD can be complementary. Using structural MRI and perfusion-weighted MRI jointly indicated that cortical thinning dominated the classification of AD and controls without significant contributions from rCBF. Separate analysis of structural MRI and perfusion-weighted MRI data yielded the well-established pattern of cortical thinning and rCBF reduction in AD, affecting predominantly temporo-parietal brain regions. We further tested the extent to which cortical thinning and reduced rCBF explain individually or together variability in dementia severity. We used logistic regression analysis to determine sequentially the value of cortical thickness, rCBF, and cortical thickness and rCBF jointly for classification for diagnosis of AD compared to controls. Our aim in this study was to determine the joint contribution of structural and perfusion-weighted imaging for the classification of AD in a cross-sectional study using an integrated multimodality MRI processing framework and a cortical surface-based analysis approach. Structural magnetic resonance imaging (MRI) of brain tissue loss and physiological imaging of regional cerebral blood flow (rCBF) can provide complimentary information for the characterization of brain disorders, such as Alzheimer's disease (AD) but studies into gains in classification power for AD using these image modalities jointly have been limited.
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