3,317 results match your criteria: "Informatics Institute.[Affiliation]"

Article Synopsis
  • * Researchers analyzed MRI scans from 501 stroke patients to assess regional brain-PAD and lesion loads, discovering that larger stroke lesions correlate with older brain-PAD in the affected areas and younger brain-PAD in the opposite hemisphere.
  • * The findings highlight that the severity of stroke damage is linked to poorer motor function, with machine learning models identifying specific brain regions and lesion characteristics as key predictors of motor outcomes.
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Background: Peak-width of skeletonized mean diffusivity (PSMD), a neuroimaging marker of cerebral small vessel disease (SVD), has shown excellent instrumental properties. Here, we extend our work to perform a biological validation of PSMD.

Methods: We included 396 participants from the Biomarkers for Vascular Contributions to Cognitive Impairment and Dementia (MarkVCID-1) Consortium and three replication samples (Cohorts for Heart and Aging Research in Genomic Epidemiology = 6172, Rush University Medical Center = 287, University of California Davis Alzheimer's Disease Research Center = 567).

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Aims/hypothesis: We aimed to analyse TrialNet Anti-CD3 Prevention (TN10) data using oral minimal model (OMM)-derived indices to characterise the natural history of stage 2 type 1 diabetes in placebo-treated individuals, to describe early metabolic responses to teplizumab and to explore the predictive capacity of OMM measures for disease-free survival rate.

Methods: OMM-estimated insulin secretion, sensitivity and clearance and the disposition index were evaluated at baseline and at 3, 6 and 12 months post randomisation in placebo- and teplizumab-treated groups, and, within each group, in slow- and rapid-progressors (time to stage 3 disease >2 or 2 years). OMM metrics were also compared with the standard AUC C-peptide.

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Alterations in subcortical brain regions are linked to motor and non-motor symptoms in Parkinson's disease (PD). However, associations between clinical expression and regional morphological abnormalities of the basal ganglia, thalamus, amygdala and hippocampus are not well established. We analyzed 3D T1-weighted brain MRI and clinical data from 2525 individuals with PD and 1326 controls from 22 global sources in the ENIGMA-PD consortium.

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Introduction: Older adults with mild cognitive impairment (MCI) exhibit deficits in cerebrovascular reactivity (CVR), suggesting CVR is a biomarker for vascular contributions to MCI. This study examined if spontaneous CVR is associated with MCI and memory impairment.

Methods: One hundred sixty-one older adults free of dementia or major neurological/psychiatric disorders were recruited.

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A Surface-based deep learning approach for cortical shape analysis.

bioRxiv

October 2024

Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States.

Article Synopsis
  • Advances in deep learning, specifically using a technique called SPHARM-Net, show potential in predicting clinical factors from brain MRI images.
  • The study utilized MRI-derived metrics like cortical curvature and thickness to predict age, sex, and Alzheimer's disease.
  • SPHARM-Net achieved strong classification accuracy for sex (91%) and age (average error of 2.97 years) while also performing well for Alzheimer's classification (86%), suggesting it could be useful for future clinical applications.
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Acute myocardial infarction (AMI) remains a significant health challenge globally, highlighting the ongoing need for effective treatments. Shexiang-Tongxin dropping pill (STDP) is widely utilized as a therapeutic option for AMI in China and Southeast Asia. However, the intricate mechanisms of action of STDP against AMI remain largely unknown.

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Results from randomized control trials (RCTs) may not be representative when individuals refuse to be randomized or are excluded for having a preference for which treatment they receive. If trial designs do not allow for participant treatment preferences, trials can suffer in accrual, adherence, retention, and external validity of results. Thus, there is interest surrounding clinical trial designs that incorporate participant treatment preferences.

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Structural brain connectivity does not associate with childhood trauma in individuals with schizophrenia.

J Psychiatr Res

December 2024

Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33 Galway, Ireland.

Background: Schizophrenia is a brain dysconnectivity disorder. However, it is not well understood whether the experience of childhood trauma (CT) affects dysconnectivity in individuals with schizophrenia (SZ). Using a network-based approach, we examined whether self-reported CT would explain additional variance compared to whole-brain topology and structural connectivity changes in SZ versus healthy controls (HC).

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This review systematically analyzes potential biomarker candidates for post-traumatic epilepsy (PTE) in humans who have experienced moderate to severe traumatic brain injury (TBI). Focusing on biomarkers across biofluid-based protein, genetic, neuroimaging, and neurophysiological categories, this review distinguishes between TBI patients who develop PTE and those who do not. The review adheres to established methodologies outlined in the Cochrane Handbook for Systematic Reviews of Interventions.

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Carrier-free immobilized enzyme for ligand fishing of carbonic anhydrase inhibitors in Salvia miltiorrhiza.

Talanta

February 2025

Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China; Innovation Institute for Artificial Intelligence in Medicine, Zhejiang University, Hangzhou, 310018, China; State Key Laboratory of Chinese Medicine Modernization, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China. Electronic address:

The traditional method for natural products discovering could be time-consuming and labor-intensive, thus ligand fishing has attracted a lot of attention as a fast-screening method. Nevertheless, ligand fishing often relied on immobilized enzyme with solid carriers, which can be expensive and complicated to prepare. In this study, a carrier-free enzyme immobilization technology, cross-linked enzyme aggregates (CLEAs), was introduced by preparing carbonic anhydrase cross-linked enzyme aggregates (CA-CLEAs), aiming to develop a method for ligand fishing that is simpler, faster and more cost-effective.

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ENIGMA-Meditation: Worldwide Consortium for Neuroscientific Investigations of Meditation Practices.

Biol Psychiatry Cogn Neurosci Neuroimaging

November 2024

Department of Psychiatry and Behavioral Health, The Ohio State University College of Medicine, Columbus, Ohio; Department of Psychology, The Ohio State University, Columbus, Ohio; Institute for Behavioral Medicine Research, The Ohio State University, Columbus, Ohio. Electronic address:

Meditation is a family of ancient and contemporary contemplative mind-body practices that can modulate psychological processes, awareness, and mental states. Over the last 40 years, clinical science has manualized meditation practices and designed various meditation interventions that have shown therapeutic efficacy for disorders including depression, pain, addiction, and anxiety. Over the past decade, neuroimaging has been used to examine the neuroscientific basis of meditation practices, effects, states, and outcomes for clinical and nonclinical populations.

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This study was conducted to clarify patterns of cortico-limbic volume abnormalities in late life depression (LLD) relative to non-depressed (ND) adults matched for amyloid β (Aβ) deposition and to evaluate the relationship of volume abnormalities with cognitive performance. Participants included 116 LLD and 226 ND. Classification accuracy of LLD status was estimated using area under the receiver operator characteristic curve.

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Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images.

Artif Intell Med

December 2024

VARPA Group, Biomedical Research Institute of A Coruña (INIBIC), University of A Coruña, A Coruña, Spain; CITIC-Research Center of Information and Communication Technologies, University of A Coruña, A Coruña, Spain. Electronic address:

The prevalence of neurodegenerative diseases (NDDs) such as Alzheimer's (AD), Parkinson's (PD), Essential tremor (ET), and Multiple Sclerosis (MS) is increasing alongside the aging population. Recent studies suggest that these disorders can be identified through retinal imaging, allowing for early detection and monitoring via Optical Coherence Tomography (OCT) scans. This study is at the forefront of research, pioneering the application of multi-view OCT and 3D information to the neurological diseases domain.

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Although specific risk factors for brain alterations in bipolar disorders (BD) are currently unknown, obesity impacts the brain and is highly prevalent in BD. Gray matter correlates of obesity in BD have been well documented, but we know much less about brain white matter abnormalities in people who have both obesity and BD. We obtained body mass index (BMI) and diffusion tensor imaging derived fractional anisotropy (FA) from 22 white matter tracts in 899 individuals with BD, and 1287 control individuals from 20 cohorts in the ENIGMA-BD working group.

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Context: Carrying the apolipoprotein ε4 allele (APOE ε4) is the strongest genetic risk factor for late-onset Alzheimer's disease. There is some evidence suggesting that APOE ε4 may modulate the influence of diet on cognitive function.

Objective: This umbrella review of systematic reviews evaluates the existing literature on the effect of dietary interventions on cognitive and brain-imaging outcomes by APOE status.

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Looking back at the TEDDY study: lessons and future directions.

Nat Rev Endocrinol

November 2024

Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.

The goal of the TEDDY (The Environmental Determinants of Diabetes in the Young) study is to elucidate factors leading to the initiation of islet autoimmunity (first primary outcome) and those related to progression to type 1 diabetes mellitus (T1DM; second primary outcome). This Review outlines the key findings so far, particularly related to the first primary outcome. The background, history and organization of the study are discussed.

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The blood-brain barrier (BBB) plays a pivotal role in protecting the central nervous system (CNS), and shielding it from potential harmful entities. A natural decline of BBB function with aging has been reported in both animal and human studies, which may contribute to cognitive decline and neurodegenerative disorders. Limited data also suggest that being female may be associated with protective effects on BBB function.

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Article Synopsis
  • Mitochondria are critical for heart energy metabolism, and targeting this metabolism could help treat ischemic heart disease (IHD) using astragaloside IV (AST).
  • Researchers used various methods, including data collection on genes, network analysis, and molecular docking, to identify potential targets of AST related to mitochondrial energy metabolism in IHD.
  • The study found 1713 IHD-related genes, 528 related to energy metabolism, and identified key targets of AST, showing promising binding affinities and potential pathways involved in regulating these targets in the context of IHD.
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Carotid single- and dual-layer stents reduce the wall adhesion of platelets by influencing flow and cellular transport.

Comput Biol Med

December 2024

Computational Science Lab, Informatics Institute, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands. Electronic address:

An ongoing thrombosis on a ruptured atherosclerotic plaque in the carotid may cause stroke. The primary treatment for patients with tandem lesion is stenting. Dual-layer stents have been introduced as an alternative to single-layer stents for elective and emergent carotid artery stenting.

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Effects of one-night partial sleep deprivation on perivascular space volume fraction: Findings from the Stockholm Sleepy Brain Study.

bioRxiv

October 2024

Laboratory of Neuro Imaging (LONI), Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

Increased waste clearance in the brain is thought to occur most readily during late-stage sleep (stage N3). Sleep deprivation disrupts time spent in deeper sleep stages, fragmenting the clearance process. Here, we have utilized the publicly available Stockholm Sleepy Brain Study to investigate whether various sleep-related measures are associated with changes in perivascular space (PVS) volume fraction following a late-night short-sleep experiment.

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Demystifying the effect of receptive field size in U-Net models for medical image segmentation.

J Med Imaging (Bellingham)

September 2024

University of Amsterdam, Faculty of Science, Mathematics and Computer Science, Informatics Institute, Amsterdam, The Netherlands.

Purpose: Medical image segmentation is a critical task in healthcare applications, and U-Nets have demonstrated promising results in this domain. We delve into the understudied aspect of receptive field (RF) size and its impact on the U-Net and attention U-Net architectures used for medical imaging segmentation.

Approach: We explore several critical elements including the relationship among RF size, characteristics of the region of interest, and model performance, as well as the balance between RF size and computational costs for U-Net and attention U-Net methods for different datasets.

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Background: Proximal caries datasets for training artificial intelligence (AI) algorithms commonly include clinician-annotated radiographs. These conventional annotations are susceptible to observer variability, and early caries may be missed. Micro-computed tomography (CT), while not feasible in clinical applications, offers a more accurate imaging modality to support the creation of a reference-standard dataset for caries annotations.

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The human antibody repertoire is broadly reactive with carbohydrate antigens represented in the universe of all living things, including both the host/self- as well as the commensal microflora-derived glycomes. Here we have used BCR receptor cloning and expression together with single-cell transcriptomics to analyze the B cell repertoire to the ubiquitous N-acetyl-D-glucosamine (GlcNAc) epitope in human cohorts and dissect the immune phylogeny of this predominant class of antibodies. We find that circulating anti-GlcNAc B cells exhibiting canonical BMem phenotypes emerge rapidly after birth and couple this observation with evidence for germinal center-dependent affinity maturation of carbohydrate-specific B cell receptors during early childhood.

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Season of birth, viral infections, HLA haplogenotypes and non-HLA variants are implicated in the development of celiac disease and celiac disease autoimmunity, suggesting a combined role of genes and environmental exposures. The aim of the study was to further decipher the biological pathways conveying the season of birth effect in celiac disease autoimmunity to gain novel insights into the early pathogenesis of celiac disease. Interactions between season of birth, genetics, and early-life environmental factors on the risk of celiac autoimmunity were investigated in the multicenter TEDDY birth cohort study.

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