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  • Chiba, Emiko  (4)
  • Maki, Hiroyuki  (4)
  • Matsuda, Hiroshi  (4)
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  • 1
    In: Journal of Neuroimaging, Wiley, Vol. 33, No. 5 ( 2023-09), p. 845-851
    Abstract: Free‐water‐corrected diffusion tensor imaging (FW‐DTI), a new analysis method for diffusion MRI, can indicate neuroinflammation and degeneration. There is increasing evidence of autoimmune etiology in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). We used FW‐DTI and conventional DTI to investigate microstructural brain changes related to autoantibody titers in patients with ME/CFS. Methods We prospectively examined 58 consecutive right‐handed ME/CFS patients who underwent both brain MRI including FW‐DTI and a blood analysis of autoantibody titers against β1 adrenergic receptor (β1 AdR‐Ab), β2 AdR‐Ab, M3 acetylcholine receptor (M3 AchR‐Ab), and M4 AchR‐Ab. We investigated the correlations between these four autoantibody titers and three FW‐DTI indices—free water (FW), FW‐corrected fractional anisotropy (FAt), and FW‐corrected mean diffusivity—as well as two conventional DTI indices—fractional anisotropy (FA) and mean diffusivity. The patients’ age and gender were considered as nuisance covariates. We also evaluated the correlations between the FW‐DTI indices and the performance status and disease duration. Results Significant negative correlations between the serum levels of several autoantibody titers and DTI indices were identified, mainly in the right frontal operculum. The disease duration showed significant negative correlations with both FAt and FA in the right frontal operculum. The changes in the FW‐corrected DTI indices were observed over a wider extent compared to the conventional DTI indices. Conclusions These results demonstrate the value of using DTI to assess the microstructure of ME/CFS. The abnormalities of right frontal operculum may be a diagnostic marker for ME/CFS.
    Type of Medium: Online Resource
    ISSN: 1051-2284 , 1552-6569
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2035400-9
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  • 2
    In: Journal of Personalized Medicine, MDPI AG, Vol. 13, No. 3 ( 2023-02-26), p. 419-
    Abstract: Recent developments in image analysis have enabled an individual’s brain network to be evaluated and brain age to be predicted from gray matter images. Our study aimed to investigate the effects of age and sex on single-subject gray matter networks using a large sample of healthy participants. We recruited 812 healthy individuals (59.3 ± 14.0 years, 407 females, and 405 males) who underwent three-dimensional T1-weighted magnetic resonance imaging. Similarity-based gray matter networks were constructed, and the following network properties were calculated: normalized clustering, normalized path length, and small-world coefficients. The predicted brain age was computed using a support-vector regression model. We evaluated the network alterations related to age and sex. Additionally, we examined the correlations between the network properties and predicted brain age and compared them with the correlations between the network properties and chronological age. The brain network retained efficient small-world properties regardless of age; however, reduced small-world properties were observed with advancing age. Although women exhibited higher network properties than men and similar age-related network declines as men in the subjects aged 〈 70 years, faster age-related network declines were observed in women, leading to no differences in sex among the participants aged ≥ 70 years. Brain age correlated well with network properties compared to chronological age in participants aged ≥ 70 years. Although the brain network retained small-world properties, it moved towards randomized networks with aging. Faster age-related network disruptions in women were observed than in men among the elderly. Our findings provide new insights into network alterations underlying aging.
    Type of Medium: Online Resource
    ISSN: 2075-4426
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2662248-8
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  • 3
    In: International Journal of Developmental Neuroscience, Wiley
    Abstract: Alternating hemiplegia of childhood (AHC) is a rare neurodevelopmental disease caused by ATP1A3 mutations. Using voxel‐based morphometry (VBM) analysis, we compared an AHC patient cohort with controls. Additionally, with single‐case VBM analysis, we assessed the associations between clinical severity and brain volume in patients with AHC. Materials and methods To investigate structural brain changes in gray matter (GM) and white matter (WM) volumes between 9 patients with AHC and 20 age‐matched controls, VBM analysis was performed using three‐dimensional T1‐weighted magnetic resonance imaging. Single‐case VBM analysis was also performed on nine patients with AHC to investigate the associations between the respective volumes of GM/WM differences and the motor level, cognitive level, and status epilepticus severity in patients with AHC. Results Compared with controls, patients with AHC showed significant GM volume reductions in both hippocampi and diffuse cerebellum, and there were WM reductions in both cerebral hemispheres. In patients with AHC, cases with more motor dysfunction, the less GM/WM volume of cerebellum was shown. Three of the six cases with cognitive dysfunction showed a clear GM volume reduction in the insulae. Five of the six cases with status epilepticus showed the GM volume reduction in hippocampi. One case had severe status epilepticus without motor dysfunction and showed no cerebellar atrophy. Conclusion With single‐case VBM analysis, we could show the association between region‐specific changes in brain volume and the severity of various clinical symptoms even in a small sample of subjects.
    Type of Medium: Online Resource
    ISSN: 0736-5748 , 1873-474X
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2012538-0
    detail.hit.zdb_id: 2013748-5
    SSG: 12
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  • 4
    In: Journal of Neuroimaging, Wiley, Vol. 33, No. 5 ( 2023-09), p. 731-736
    Abstract: Subcortical band heterotopia (SBH) is a malformation of cortical development diagnosed via MRI. Currently, patients with SBH are classified according to Di Donato's classification. We aimed to show a variation of SBH and the usefulness of double inversion recovery (DIR) images. Methods We retrospectively reviewed the MRI findings of 28 patients with SBH. The patients were classified according to Donato's classification by using conventional MR images, and their DIR findings were reviewed. Results Of 28 patients, 20 were grade 1 and 8 were grade 2 according to Di Donato's classification. In 15 of 28 patients, the following four types of atypical MRI findings were detected: asymmetry distribution (four cases), coexistence of thin and thick SBH (five cases), and DIR faint abnormal signal intensity in subcortical white matter (five cases) and in deep white matter (five cases). The latter two types were detected on DIR alone and have not been reported. Additionally, these were identified only in the mild group (Di Donato's classification 1‐1 or 1‐2). Conclusion DIR is a useful MRI sequence for detecting faint white matter signal abnormalities, and it can aid in the accurate classification of SBH and identification of its variations, which may reflect the pathology of SBH.
    Type of Medium: Online Resource
    ISSN: 1051-2284 , 1552-6569
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2035400-9
    Location Call Number Limitation Availability
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