Publications by authors named "Fisch L"

Objective: Cerebrospinal fluid (CSF) provides unique insights into the brain and neurological diseases. However, the potential of CSF flow cytometry applied on a large scale remains unknown.

Methods: We used data-driven approaches to analyze paired CSF and blood flow cytometry measurements from 8,790 patients (discovery cohort) and CSF only data from 3,201 patients (validation cohort) collected across neurological diseases in a real-world setting.

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Background And Objective: Flow cytometry is a widely used technique for identifying cell populations in patient-derived fluids, such as peripheral blood (PB) or cerebrospinal fluid (CSF). Despite its ubiquity in research and clinical practice, the process of gating, i.e.

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Background: Brain extraction in magnetic resonance imaging (MRI) data is an important segmentation step in many neuroimaging preprocessing pipelines. Image segmentation is one of the research fields in which deep learning had the biggest impact in recent years. Consequently, traditional brain extraction methods are now being replaced by deep learning-based methods.

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Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain-age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain-age has highlighted the need for robust and publicly available brain-age models pre-trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain-age model.

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Effective, unbiased, high-throughput methods to functionally identify both class II and class I HLA-presented T cell epitopes and their cognate T cell receptors (TCRs) are essential for and prerequisite to diagnostic and therapeutic applications, yet remain underdeveloped. Here, we present T-FINDER [T cell Functional Identification and (Neo)-antigen Discovery of Epitopes and Receptors], a system to rapidly deconvolute CD4 and CD8 TCRs and targets physiologically processed and presented by an individual's unmanipulated, complete human leukocyte antigen (HLA) haplotype. Combining a highly sensitive TCR signaling reporter with an antigen processing system to overcome previously undescribed limitations to target expression, T-FINDER both robustly identifies unknown peptide:HLA ligands from antigen libraries and rapidly screens and functionally validates the specificity of large TCR libraries against known or predicted targets.

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Importance: Biological psychiatry aims to understand mental disorders in terms of altered neurobiological pathways. However, for one of the most prevalent and disabling mental disorders, major depressive disorder (MDD), no informative biomarkers have been identified.

Objective: To evaluate whether machine learning (ML) can identify a multivariate biomarker for MDD.

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Article Synopsis
  • Schizotypy, which indicates a person's vulnerability to psychosis, is linked to both childhood trauma and structural brain changes.
  • A study involving 1182 healthy adults found that interactions between schizotypy levels and childhood trauma exposure affect brain morphology, specifically in regions related to cognitive processing.
  • Results suggest that individuals with high levels of both schizotypy and childhood trauma show significant variations in brain regions important for cognition, indicating that trauma may intensify the effects of schizotypy on brain structure.
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Rapidly progressive dementia is distinguished from other neurocognitive disorders by its rapid onset (less than two years from first symptoms to diagnosis). It comprises a wide range of etiologies, including Creutzfledt-Jakob disease and Alzheimer's disease. When faced with a recent and rapid onset of major cognitive impairment, it is essential to rule out delirium or any other cause that may lead to rapid cognitive decline (such as stroke, encephalitis, or epileptic seizure).

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Electroconvulsive Therapy (ECT) is arguably the most effective intervention for treatment-resistant depression. While large interindividual variability exists, a theory capable of explaining individual response to ECT remains elusive. To address this, we posit a quantitative, mechanistic framework of ECT response based on Network Control Theory (NCT).

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Article Synopsis
  • Therapeutic approaches in psychiatry aim to affect the brain's dynamic network transitions, and Network Control Theory helps quantify how one brain region can influence others in this context.
  • A study using Diffusion Tensor Imaging data analyzed brain connectivity in 692 major depressive disorder (MDD) patients and 820 healthy controls, revealing differences in network controllability that aren't linked to current symptoms.
  • The research found that network controllability in MDD patients is associated with genetic risk factors, family history of mood disorders, and individual characteristics like body mass index, highlighting its potential for personalized mental health treatment strategies.
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The microbiome contributes to the development and maturation of the immune system. In response to commensal bacteria, intestinal CD4 T lymphocytes differentiate into functional subtypes with regulatory or effector functions. The development of small intestine intraepithelial lymphocytes that coexpress CD4 and CD8αα homodimers (CD4IELs) depends on the microbiota.

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Article Synopsis
  • The study focuses on understanding neurobiological differences between individuals with major depressive disorder (MDD) and healthy controls, emphasizing the need for reliable brain alterations identification.
  • Researchers aimed to analyze different neuroimaging techniques to measure the effects of depression while considering genetic and environmental influences.
  • The study included 1,809 participants (861 patients and 948 controls) and assessed various characteristics, such as age and sex, to improve the accuracy of the findings.
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Background And Purpose: Knowledge about different etiologies of non-traumatic intracerebral hemorrhage (ICH) and their outcomes is scarce.

Methods: We assessed prevalence of pre-specified ICH etiologies and their association with outcomes in consecutive ICH patients enrolled in the prospective Swiss Stroke Registry (2014 to 2019).

Results: We included 2,650 patients (mean±standard deviation age 72±14 years, 46.

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Objective: To examine rates of intravenous thrombolysis (IVT), mechanical thrombectomy (MT), door-to-needle (DTN) time, door-to-puncture (DTP) time, and functional outcome between patients with admission magnetic resonance imaging (MRI) versus computed tomography (CT).

Methods: An observational cohort study of consecutive patients using a target trial design within the nationwide Swiss-Stroke-Registry from January 2014 to August 2020 was carried out. Exclusion criteria included MRI contraindications, transferred patients, and unstable or frail patients.

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The deviation between chronological age and age predicted from neuroimaging data has been identified as a sensitive risk marker of cross-disorder brain changes, growing into a cornerstone of biological age research. However, machine learning models underlying the field do not consider uncertainty, thereby confounding results with training data density and variability. Also, existing models are commonly based on homogeneous training sets, often not independently validated, and cannot be shared because of data protection issues.

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Background: Bipolar disorder (BD) is associated with cortical and subcortical structural brain abnormalities. It is unclear whether such alterations progressively change over time, and how this is related to the number of mood episodes. To address this question, we analyzed a large and diverse international sample with longitudinal magnetic resonance imaging (MRI) and clinical data to examine structural brain changes over time in BD.

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Article Synopsis
  • * It automates repetitive tasks like training and hyperparameter tuning while ensuring unbiased performance evaluation and allowing for customizable analyses.
  • * The framework supports complex data handling and visualization through PHOTONAI Explorer, and promotes collaboration with a growing ecosystem of add-ons for life science research.
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A fatal outcome occurs in 2% of patients with Reversible Cerebral Vasoconstriction Syndrome (RCVS). Due to its rarity, guidelines for the management of the most severe forms of RCVS are lacking. Here, we describe the case of a 55 year-old woman who died from complications of RCVS and reviewed patients with fatal outcome reported in the literature.

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Influenza A and B infections are marred with variable morbidity and, in some cases, develop into severe or even fatal respiratory, circulatory and neurologic complications. Respiratory complications are most common and involve primary-Influenza pneumonia and pneumonia from bacterial or fungal superinfections. Nonrespiratory complications can affect several organs/systems, namely the heart (myocarditis, type 1 and 2 myocardial infarction) and the nervous system (stroke, encephalitis, Guillain-Barré Syndrome).

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Acquired hemophilia A (AHA) is a rare but serious condition, usually associated with significant spontaneous or traumatic bleeding and a high mortality rate. In this report, we describe the case of an elderly patient presenting a transient ischemic attack concurrently with AHA. A thrombotic event in AHA is occasionally associated with the use of bypassing agents for treatment, but a spontaneous thrombotic event has not ever been described.

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WHAT IS THE ROLE OF DUAL ANTIPLATELET THERAPY AFTER HIGH RISK TRANSIENT ISCHAEMIC ATTACK OR MINOR STROKE? SPECIFICALLY, DOES DUAL ANTIPLATELET THERAPY WITH A COMBINATION OF ASPIRIN AND CLOPIDOGREL LEAD TO A GREATER REDUCTION IN RECURRENT STROKE AND DEATH OVER THE USE OF ASPIRIN ALONE WHEN GIVEN IN THE FIRST 24 HOURS AFTER A HIGH RISK TRANSIENT ISCHAEMIC ATTACK OR MINOR ISCHAEMIC STROKE? AN EXPERT PANEL PRODUCED A STRONG RECOMMENDATION FOR INITIATING DUAL ANTIPLATELET THERAPY WITHIN 24 HOURS OF THE ONSET OF SYMPTOMS, AND FOR CONTINUING IT FOR 10-21 DAYS CURRENT PRACTICE IS TYPICALLY TO USE A SINGLE DRUG.

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A first seizure is a life-changing event with physical and psychological consequences. We aimed to assess the role of early comprehensive patient care after a first unprovoked seizure to improve diagnostic accuracy and follow-up adherence. From April 2011 to March 2012, patients presenting a first unprovoked epileptic seizure received standard patient care (SPC), i.

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As a stenosis becomes more severe, blood flow through it increases in velocity to maintain volume, flow and pressure. But there is a critical point beyond which further increase in stenosis no longer allows sufficient blood to pass through to maintain volumetric flow, and the carotid artery beyond the stenosis begins to decrease in diameter. This is the near occlusion.

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