13 results match your criteria: "Happymind Clinic[Affiliation]"

Adult-onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP) is a rare white matter disease characterized by axonal and glial injury. Although its clinical characteristics have been described in case reports, the prevalence of CSF1R mutations in clinically suspected ALSP cases remains unclear. Herein, we analysed the frequency of CSF1R mutations in patients with probable or possible ALSP and describe the genetic, clinical, radiological, and pathological findings of ALSP cases in individuals of Korean ancestry.

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Purpose: This study aimed to investigate the characteristics of individuals with amyloid levels below the threshold. To achieve this, we differentiated between two groups: those with global amyloid negativity but focal deposition [G(-)F(+)] and those without focal deposition [G(-)F(-)].

Materials And Methods: A total of 2,677 participants were diagnosed with cognitive unimpairment (CU) or mild cognitive impairment (MCI).

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Background And Purpose: We aimed to develop the diagnostic matrix of the Seoul Cognitive Status Test (SCST) and compare its performance with traditional paper-and-pencil neuropsychological tests, including the Seoul Neuropsychological Screening Battery-II (SNSB-II) and the Korean version of the Consortium to Establish a Registry for Alzheimer's Disease (CERAD-K).

Methods: We recruited 197 participants from the head-to-head SCST-SNSB cohort, and 204 participants from the head-to-head SCST-CERAD cohort. They underwent either SNSB-II or CERAD-K, in addition to SCST.

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Background: As society ages, the incidence of Alzheimer's disease and other dementias has surged, highlighting the importance of early dementia diagnosis. The Seoul Cognitive Status Test (SCST), a digital neuropsychological test, is designed for the early detection of cognitive impairment and has been standardized to establish reliability and validity. This study aims to verify whether the SCST effectively discriminates between groups based on three cognitive statuses (subjective cognitive decline [SCD], mild cognitive impairment [MCI], Dementia) in a large sample.

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Factors associated with cognitive reserve according to education level.

Alzheimers Dement

November 2024

Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.

Introduction: We investigated distinctive factors associated with cognitive reserve (CR) based on education level.

Methods: Among 1247 participants who underwent neuropsychological assessment, amyloid positron emission tomography, and brain magnetic resonance imaging, 336 participants with low education (≤6 years) and 697 with high education (≥12 years) were selected. CR was measured as the difference between the predicted and observed value of cognitive function based on cortical thickness.

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Background And Purpose: We developed a new digital cognitive assessment called Seoul Cognitive Status Test (SCST), formerly called Inbrain Cognitive Screening Test. The purpose of this study was to validate the clinical utility of the SCST by comparing its scores of those with subjective cognitive decline (SCD), amnestic mild cognitive impairment (aMCI), and dementia diagnosed by the Korean version of the Consortium to Establish a Registry for Alzheimer's Disease Assessment Packet (CERAD-K).

Methods: All participants (n=296) who completed the CERAD-K, SCST, and Instrumental Activities of Daily Living tests were included in this study.

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Background: Amyloid-β (Aβ) commonly coexists and impacts prognosis in subcortical vascular cognitive impairment (SVCI).

Objective: This study aimed to examine the differences in clinical and neuroimaging variables between Aβ-positive and Aβ-negative SVCI and to propose a prediction model for Aβ positivity in clinically diagnosed SVCI patients.

Methods: A total of 130 patients with SVCI were included in model development, and a separate cohort of 70 SVCI patients was used in external validation.

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Article Synopsis
  • rTMS shows potential as a safe intervention for Alzheimer's disease (AD), particularly targeting the hippocampal network to improve cognitive and functional performance.
  • The study involved a randomized clinical trial with 30 participants aged 55-90, who underwent either personalized rTMS or sham treatment over four weeks, assessed at two points.
  • Key measurements included changes in cognitive test scores and functional connectivity, indicating some promising results for those receiving actual rTMS compared to the sham group.
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Article Synopsis
  • Early- and late-onset Alzheimer's disease share similar brain changes (amyloid and neurofibrillary tangles) but have different cognitive features, which led to a comparison of brain connectivity between the two groups.
  • The study involved 80 Alzheimer's patients (47 EOAD and 33 LOAD) and 57 healthy controls, using diffusion-tensor imaging to analyze structural brain networks and their correlation with cognitive abilities and pathological markers.
  • Results indicated that EOAD patients had significant deficits in brain connectivity compared to controls, which correlated with various cognitive impairments, while LOAD patients showed fewer connectivity issues and limited cognitive correlations, highlighting differences in how these Alzheimer's types affect brain network efficiency.
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We propose a hybrid technique that employs artificial intelligence (AI)-based segmentation and machine learning classification using multiple features extracted from the foveal avascular zone (FAZ)-a retinal biomarker for Alzheimer's disease-to improve the disease diagnostic performance. Imaging data of optical coherence tomography angiography from 37 patients with Alzheimer's disease and 48 healthy controls were investigated. The presence or absence of brain amyloids was confirmed using amyloid positron emission tomography.

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Association of Glycemic Variability With Imaging Markers of Vascular Burden, β-Amyloid, Brain Atrophy, and Cognitive Impairment.

Neurology

January 2024

From the Alzheimer's Disease Convergence Research Center (H.J., S.A., Y.P., S.-J.K., B.K.C., J.H.K., H.J.K., D.L.N., J.P.K., S.W.S.), Samsung Medical Center; Department of Digital Health (H.J., S.L., K.K., S.W.S.), Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University; Department of Neurology (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center; Happymind Clinic (D.L.N.); Biomedical Statistics Center (K.K.), Research Institute for Future Medicine, Samsung Medical Center; and Department of Data Convergence and Future Medicine (K.K.), Sungkyunkwan University School of Medicine, Seoul, Korea. Dr. Jang is currently at the Department of Neurology, Seoul National University Hospital, Korea.

Background And Objective: We aimed to investigate the association between glycemic variability (GV) and neuroimaging markers of white matter hyperintensities (WMH), beta-amyloid (Aβ), brain atrophy, and cognitive impairment.

Methods: This was a retrospective cohort study that included participants without dementia from a memory clinic. They all had Aβ PET, brain MRI, and standardized neuropsychological tests and had fasting glucose (FG) levels tested more than twice during the study period.

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Background: Little is known regarding the differential effects of the apolipoprotein E (APOE) ɛ4 on the regional topography of amyloid and tau in patients with both early-onset (EOAD) and late-onset Alzheimer's disease (LOAD).

Objective: To compare the distribution and association of tau, amyloid, and cortical thickness among groups classified by the presence of APOEɛ4 allele and onset age.

Methods: A total of 165 participants including 54 EOAD patients (29 ɛ4-; 25 ɛ4+), 45 LOAD patients (21 ɛ4-; 24 ɛ4+), and 66 age-matched controls underwent 3T MRI, 18F-THK5351 (THK) and 18F-flutemetamol (FLUTE) PET scans, APOE genotyping, and neuropsychological tests.

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Background: We investigated the relevance of various imaging markers for the clinical trajectory of cerebral amyloid angiopathy (CAA) patients in a memory clinic.

Methods: A total of 226 patients with probable CAA were included in this study with a mean follow-up period of 3.5 ± 2.

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