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1 individuals reveals delay in myelination and cerebral atrophy.
2 the patient's epileptic phenotype as well as cerebral atrophy.
3 iable cerebellar atrophy and highly variable cerebral atrophy.
4 nt of overt clinical symptoms and detectable cerebral atrophy.
5 eased CSF tau and structural MRI measures of cerebral atrophy.
6 quantitative MRI indices suggesting greater cerebral atrophy.
7 tter high signal, and the notable absence of cerebral atrophy.
8 and 57% following correction for effects of cerebral atrophy.
9 were highly correlated with Braak stage and cerebral atrophy.
10 ge, peripheral neuropathy, hearing loss, and cerebral atrophy.
11 which was significantly correlated with age, cerebral atrophy and ADC stage and (b) the striatum, whi
15 thy consistently associated with progressive cerebral atrophy and variable involvement of the white m
16 oundary shift integral to determine rates of cerebral atrophy and ventricular expansion in six patien
18 5, and included multifocal hyperintensities, cerebral atrophy, and confluent cortical and subcortical
19 ount for the remaining difference, including cerebral atrophy, and enhanced vasoconstrictor and blunt
21 development of motor deficits, weight loss, cerebral atrophy, and neuronal intranuclear inclusions i
23 However, unlike the latter, the patterns of cerebral atrophy associated with DLB have not been well
24 to quantify the severity and distribution of cerebral atrophy by using automated volumetric analysis
25 lated synaptic loss, in turn contributing to cerebral atrophy, cognitive decline, and increased risk
29 multiple MRI scans to measure progression of cerebral atrophy in 12 patients with Alzheimer's disease
33 g brain imaging technologies have identified cerebral atrophy in diabetic patients, suggesting that t
34 study was to identify a signature pattern of cerebral atrophy in DLB and to compare it with the patte
36 needed to detect the effects of treatment on cerebral atrophy in this population of patients with adv
37 tment reduces, by as much as seven fold, the cerebral atrophy in those gray matter (GM) regions speci
40 rrect for the dilution effect of age-related cerebral atrophy may confound interpretation of previous
41 ontal cortex, we showed that neither diffuse cerebral atrophy nor neocortical thickness explained the
42 tensities, microbleeds, microinfarctions and cerebral atrophy on magnetic resonance imaging scans.
43 ntrol group, the SLE patients more often had cerebral atrophy on MRI (32% versus 0%), confirmed by an
44 tional study was to establish the pattern of cerebral atrophy on MRI in Parkinson's disease patients
46 this study was to assess the progression of cerebral atrophy over multiple serial MRI during the per
47 ciated pathologies segregated based on their cerebral atrophy profiles, according to the following sc
48 imilar phenotypes typified by cerebellar and cerebral atrophy, seizures, irritability, ataxia, and ex
49 type that was consistent with cerebellar and cerebral atrophy that could be rescued by wild-type, but
50 a VPS53 allele causing progressive cerebello-cerebral atrophy type 2 (PCCA2) in humans exhibits simil
53 abnormalities, abnormal cortical formation, cerebral atrophy, ventriculomegaly, hydrocephaly, and ce
54 .001); in infants who subsequently developed cerebral atrophy versus those who did not: 7.23 (SD, 0.1
55 ion of surgical pathology, signal change and cerebral atrophy visible on structural MRI can be used t
56 scle biopsy revealed ragged red fibers; mild cerebral atrophy was evident by magnetic resonance imagi
57 mer's disease is associated with progressive cerebral atrophy, which can be seen on MRI with high res
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