261 results match your criteria: "Institute for Neurodegenerative Disorders[Affiliation]"

Objective: To determine the impact of dopamine deficiency and isolated rapid eye movement (REM) sleep behavior disorder (iRBD) on cognitive performance in early neuronal α-synuclein disease (NSD) with hyposmia but without motor disability.

Methods: Using Parkinson's Progression Markers Initiative baseline data, cognitive performance was assessed with a cognitive summary score (CSS) derived from robust healthy control (HC) norms. Performance was examined for participants with hyposmia in early NSD-Integrated Staging System (NSD-ISS), either stage 2A (cerebrospinal fluid α-synuclein seed amplification assay [SAA]+, dopamine transporter scan [DaTscan]-) or 2B (SAA+, DaTscan+).

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Unlabelled: There are increasing calls for sharing individual biomarker results with participants in dementia research. No studies investigate returning Alzheimer's disease (AD) biomarker results to individuals with syndromic dementia with Lewy bodies (DLB) even though most of these individuals have both pathologies. This perspective argues that AD biomarkers are valid, interpretable, and actionable, particularly relating to expected prognosis and treatment effects, in people with DLB.

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The use of symptomatic medications represents a challenge for clinical trials of novel medicines designed to slow Parkinson's disease progression. A time-to-event (TTE) approach using a defined motor progression milestone may mitigate the confounding effect of symptomatic therapy on the Movement Disorders Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS). This analysis uses prasinezumab- and placebo-treated groups from the PASADENA study to evaluate the impact of symptomatic medications on treatment effects by comparing a TTE approach to a change-from-baseline approach with and without censoring the population upon starting symptomatic therapy.

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Objective: A growing body of evidence indicates a strong genetic overlap between developmental and epileptic encephalopathies (DEEs) and movement disorders. De novo loss-of-function variants in NUS1 have been recently identified in DEE cases. Herein, we report a large cohort of cases with pathogenic NUS1 variants and describe their clinical presentation and the details of the associated epilepsy and movement disorders.

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Background: REM Sleep Behavior Disorder (RBD), marked by dream enactment due to loss of REM-related muscle atonia, is a prominent prodromal indicator of synucleinopathies, particularly Parkinson's Disease (PD).

Objectives: This study aimed to investigate the interplay among key PD biomarkers- α-synuclein seed amplification assay (SAA), hyposmia, and dopamine transporter (DaT) SPECT imaging - in individuals with RBD. Additionally, we evaluated how phenoconversion events and Movement Disorder Society (MDS)-Prodromal PD probability scores relate to clinical symptoms and biomarker profiles in an incident RBD population.

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Background: Neuronal α-synuclein disease (NSD) is defined by the presence of an in vivo biomarker of neuronal alpha-synuclein (n-asyn) pathology. The NSD integrated staging system (NSD-ISS) for research describes progression across the disease continuum as stages 0 to 6.

Objective: The aim was to assess 5-year longitudinal change in NSD-ISS in early disease.

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Lack of renal NHE1 exacerbates lithium-induced nephrogenic diabetes insipidus.

Acta Physiol (Oxf)

April 2025

Department of Molecular Pharmacology and Physiology, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.

Aims: The sodium-hydrogen exchanger isoform 1 (NHE1) is important for transepithelial Na/H transport, intracellular pH, and cell volume regulation. NHE1 also transports Li, preferably compared to NHE3, and the lack of NHE3 does not affect renal Li clearance. Therefore, we hypothesized that NHE1 plays a critical role in mediating renal Li effects.

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Among -associated parkinsonism cases with nigral degeneration, over two-thirds demonstrate evidence of pathologic alpha-synuclein, but many do not. Understanding the clinical phenotype and underlying biology in such individuals is critical for therapeutic development. Our objective was to compare clinical and biomarker features, and rate of progression over 4 years of follow-up, among -associated parkinsonism cases with and without evidence of alpha-synuclein aggregates.

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Multi-atlas multi-modality morphometry analysis of the South Texas Alzheimer's Disease Research Center postmortem repository.

Neuroimage Clin

May 2025

Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA. Electronic address:

Histopathology provides critical insights into the neurological processes inducing neurodegenerative diseases and their impact on the brain, but brain banks combining histology and neuroimaging data are difficult to create. As part of an ongoing global effort to establish new brain banks providing both high-quality neuroimaging scans and detailed histopathology examinations, the South Texas Alzheimer's Disease Re- search Center postmortem repository was recently created with the specific purpose of studying comorbid dementias. As the repository is reaching a milestone of two hundred brain donations and a hundred curated MRI sessions are ready for processing, robust statistical analyses can now be conducted.

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Objectives: Tools are needed to evaluate the risk of developing Parkinson disease (PD) in at-risk populations. In this study, we examine differences in alpha-synuclein seed amplification assay (αSyn-SAA) qualitative results and amplification parameters between nonmanifesting carriers (NMCs) of PD-related pathogenic variants, prodromal PD, and PD and the risk of developing a synucleinopathy in participants with prodromal PD.

Methods: Cross-sectional and longitudinal CSF αSyn-SAA results from participants in the Parkinson's Progression Markers Initiative were analyzed.

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Background: Synuclein pathology in neurodegenerative diseases, such as Parkinson's disease (PD) and Dementia with Lewy bodies (DLB), begins years before motor or cognitive symptoms arise. Alpha-Synuclein seed amplification assays (α-syn SAA) may detect aggregated synuclein before symptoms occur.

Methods: Data from the Parkinson Associated Risk Syndrome Study (PARS) have shown that individuals with hyposmia, without motor or cognitive symptoms, are enriched for dopamine transporter imaging (DAT) deficit and are at high risk to develop clinical parkinsonism or related synucleinopathies.

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Introduction: Prasinezumab was shown to potentially delay motor progression in individuals with early-stage Parkinson's disease (PD) who were either treatment-naïve or on monoamine oxidase type B inhibitor (MAO-Bi) therapy in the PASADENA study. We report the rationale, design, and baseline patient characteristics of the PADOVA study, designed to evaluate prasinezumab in an early-stage PD population receiving standard-of-care (SOC) symptomatic medications.

Methods: PADOVA (NCT04777331) is a Phase 2b, multicenter, randomized, double-blind, placebo-controlled, parallel-group study, in which individuals with early-stage PD on SOC stable symptomatic monotherapy (levodopa or MAO-Bi) receive intravenous prasinezumab 1500 mg every 4 weeks.

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Convolutional Neural Networks for the segmentation of hippocampal structures in postmortem MRI scans.

J Neurosci Methods

March 2025

Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Anto

Background: The hippocampus plays a crucial role in memory and is one of the first structures affected by Alzheimer's disease. Postmortem MRI offers a way to quantify the alterations by measuring the atrophy of the inner structures of the hippocampus. Unfortunately, the manual segmentation of hippocampal subregions required to carry out these measures is very time-consuming.

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Objective: Remote identification of individuals with severe hyposmia may enable scalable recruitment of participants with underlying alpha-synuclein aggregation. We evaluated the performance of a staged screening paradigm using remote smell testing to enrich for abnormal dopamine transporter single-photon emission computed tomography imaging (DAT-SPECT) and alpha-synuclein aggregation.

Methods: The Parkinson's Progression Markers Initiative (PPMI) recruited participants for the prodromal cohort who were 60-years and older without a Parkinson's disease diagnosis.

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Objectives: To determine the impact of dopamine deficiency and isolated REM sleep behavior disorder (iRBD) on cognitive performance in early neuronal alpha-synuclein disease (NSD) with hyposmia.

Methods: Using Parkinson's Progression Markers Initiative baseline data, cognitive performance was assessed with a cognitive summary score (CSS) developed by applying regression-based internal norms derived from a robust healthy control (HC) group. Performance was examined for participants with hyposmia classified as NSD-Integrated Staging System (NSD-ISS) Stage 2, either Stage 2A (CSF alpha-synuclein seed amplification assay [SAA]+, SPECT dopamine transporter scan [DaTscan]-) or 2B (SAA+, DaTscan+).

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Introduction: The effects of sex and apolipoprotein E (APOE)-Alzheimer's disease (AD) risk factors-on white matter microstructure are not well characterized.

Methods: Diffusion magnetic resonance imaging data from nine well-established longitudinal cohorts of aging were free water (FW)-corrected and harmonized. This dataset included 4741 participants (age = 73.

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Deep learning reveals pathology-confirmed neuroimaging signatures in Alzheimer's, vascular and Lewy body dementias.

Brain

June 2025

Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.

Concurrent neurodegenerative and vascular pathologies pose a diagnostic challenge in the clinical setting, with histopathology remaining the definitive modality for dementia-type diagnosis. To address this clinical challenge, we introduce a neuropathology-based, data-driven, multi-label deep-learning framework to identify and quantify in vivo biomarkers for Alzheimer's disease (AD), vascular dementia (VD) and Lewy body dementia (LBD) using antemortem T1-weighted MRI scans of 423 demented and 361 control participants from National Alzheimer's Coordinating Center and Alzheimer's Disease Neuroimaging Initiative datasets. Based on the best-performing deep-learning model, explainable heat maps were extracted to visualize disease patterns, and the novel Deep Signature of Pathology Atrophy REcognition (DeepSPARE) indices were developed, where a higher DeepSPARE score indicates more brain alterations associated with that specific pathology.

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Parkinson's Disease is a progressive neurodegenerative disorder afflicting almost 12 million people. Increased understanding of its complex and heterogenous disease pathology, etiology and symptom manifestations has resulted in the need to design, capture and interrogate substantial clinical datasets. Herein we advocate how advances in the deployment of artificial intelligence models for Federated Data Analysis and Federated Learning can help spearhead coordinated and sustainable approaches to address this grand challenge.

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Association of Self-Reported Sleep Characteristics With Neuroimaging Markers of Brain Aging Years Later in Middle-Aged Adults.

Neurology

November 2024

From the Departments of Psychiatry and Behavioral Sciences (C.C., C.D., Y.L., K.Y.), Neurology (K.Y.), and Epidemiology (K.Y.), University of California, San Francisco; Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core (M.H.), Glenn Biggs Institute for Neurodegenerative Disorders

Article Synopsis
  • The study aimed to explore how sleep patterns in early midlife affect brain aging in late midlife using data from the CARDIA study.
  • Researchers analyzed sleep data, focusing on factors like sleep duration and quality, and later assessed brain age through MRIs taken 15 years later.
  • Results showed that individuals with more poor sleep characteristics had significantly older brain ages, emphasizing the need for sleep interventions to support brain health.*
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The Phase II trial of Anti-alpha-Synuclein Antibody in Early Parkinson's Disease (PASADENA) is an ongoing double-blind, placebo-controlled trial evaluating the safety and efficacy of prasinezumab in early-stage Parkinson's disease (PD). During the double-blind period, prasinezumab-treated individuals showed less progression of motor signs (Movement Disorders Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) Part III) than placebo-treated individuals. We evaluated whether the effect of prasinezumab on motor progression, assessed as a change in MDS-UPDRS Part III score in the OFF and ON states, and MDS-UPDRS Part II score, was sustained for 4 years from the start of the trial.

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The Neuronal alpha-Synuclein Disease (NSD) biological definition and Integrated Staging System (NSD-ISS) provide a research framework to identify individuals with Lewy body pathology and stage them based on underlying biology and increasing degree of functional impairment. Utilizing data from the PPMI, PASADENA, and SPARK studies, we developed and applied biologic and clinical data-informed definitions for the NSD-ISS across the disease continuum. Individuals enrolled as Parkinson's disease, Prodromal, or Healthy Controls were defined and staged based on biological, clinical, and functional anchors at baseline.

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Article Synopsis
  • The Neuronal alpha-Synuclein Disease (NSD) and its Integrated Staging System (NSD-ISS) aim to identify and classify individuals with Lewy body pathology according to biological and functional factors.
  • Data from multiple studies reveal that a significant percentage of participants with Parkinson’s disease (PD) were classified as S+ (consistent with NSD), indicating a strong link between biological markers and disease staging.
  • Findings suggest that the baseline stage of individuals influences the timeline for progression to significant clinical outcomes, highlighting the need for further validation of the staging anchors in longer-term studies.
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