Results 121 to 130 of about 1,500,141 (319)

Relationship of cognitive decline with glucocerebrosidase activity and amyloid‐beta 42 in DLB and PD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Abstract Objective Dementia with Lewy bodies (DLB) and Parkinson's disease (PD) share clinical, pathological, and genetic risk factors, including GBA1 and APOEε4 mutations. Biomarkers associated with the pathways of these mutations, such as glucocerebrosidase enzyme (GCase) activity and amyloid‐beta 42 (Aβ42) levels, may hold potential as predictive ...
Maria Camila Gonzalez   +15 more
wiley   +1 more source

Evidence of blood–brain barrier dysfunction and CSF immunoglobulin synthesis in Down Syndrome Regression Disorder

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Abstract Objectives This study sought to evaluate proteomic, metabolomic, and immune signatures in the cerebrospinal fluid of individuals with Down Syndrome Regression Disorder (DSRD). Methods A prospective case–control study comparing proteomic, metabolomic, and immune profiles in individuals with DSRD was performed.
Jonathan D. Santoro   +12 more
wiley   +1 more source

Liraglutide for idiopathic intracranial hypertension: a real‐world propensity score‐matched study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Abstract Objective Idiopathic intracranial hypertension (IIH) is a neurological disorder predominantly affecting young women with obesity, characterized by elevated intracranial pressure. While current treatments include weight loss counseling, medical therapies, and surgical interventions, their limitations necessitate exploring novel therapeutic ...
Ahmed Y. Azzam   +13 more
wiley   +1 more source

Generation and Editing of Mandrill Faces: Application to Sex Editing and Assessment [PDF]

open access: yesarXiv
Generative AI has seen major developments in recent years, enhancing the realism of synthetic images, also known as computer-generated images. In addition, generative AI has also made it possible to modify specific image characteristics through image editing.
arxiv  

Assessment of concurrent neoplasms and a paraneoplastic association in MOGAD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Abstract Cases of myelin oligodendrocyte glycoprotein (MOG) antibody‐associated disease (MOGAD) co‐occurring with neoplasms have been reported. In this international, retrospective cohort study in South Korea and the USA, 16 of 445 (3.6%) patients with MOGAD had concurrent neoplasm within 2 years of MOGAD onset, resulting in a standardized incidence ...
Young Nam Kwon   +24 more
wiley   +1 more source

The impact of MRI image quality on statistical and predictive analysis on voxel based morphology [PDF]

open access: yesarXiv
Image Quality of MRI brain scans is strongly influenced by within scanner head movements and the resulting image artifacts alter derived measures like brain volume and cortical thickness. Automated image quality assessment is key to controlling for confounding effects of poor image quality.
arxiv  

CSF cytokine, chemokine and injury biomarker profile of glial fibrillary acidic protein (GFAP) autoimmunity

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Abstract Defining the CSF cytokine/chemokine and injury biomarker signature of glial fibrillary acidic protein (GFAP) autoimmunity can inform immunopathogenesis. CSF GFAP‐IgG‐positive samples (N = 98) were tested for 17 cytokines/chemokines, neurofilament light chain (NfL), and GFAP (ELLA, Bio‐Techne).
Yahel Segal   +11 more
wiley   +1 more source

Robustness and sex differences in skin cancer detection: logistic regression vs CNNs [PDF]

open access: yesarXiv
Deep learning has been reported to achieve high performances in the detection of skin cancer, yet many challenges regarding the reproducibility of results and biases remain. This study is a replication (different data, same analysis) of a study on Alzheimer's disease [28] which studied robustness of logistic regression (LR) and convolutional neural ...
arxiv  

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