Publications by authors named "M Helmer"

Article Synopsis
  • The DSM's criteria for mental disorders allow for varied symptoms among individuals, but this has led to concerns about the reliability of these classifications in research due to inconsistent symptom combinations.
  • The study investigates how symptom definitions and assessments influence the likelihood of specific symptom combinations in disorders like PTSD, depression, schizophrenia, and anxiety.
  • Analyzing data from over 155,000 participants revealed that while some symptom combinations were more common, most had low probabilities of occurrence, indicating a skewed distribution in the way symptoms manifest across different individuals.
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Field studies suggest that changes in the stable isotope ratios of phytoplankton communities can be used to track changes in the utilization of different nitrogen sources, i.e., to detect shifts from dissolved inorganic nitrogen (DIN) uptake to atmospheric nitrogen (N2) fixation by diazotrophic cyanobacteria as an indication of nitrogen limitation.

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Associations between datasets can be discovered through multivariate methods like Canonical Correlation Analysis (CCA) or Partial Least Squares (PLS). A requisite property for interpretability and generalizability of CCA/PLS associations is stability of their feature patterns. However, stability of CCA/PLS in high-dimensional datasets is questionable, as found in empirical characterizations.

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Importance: Understanding the mechanisms of major depressive disorder (MDD) improvement is a key challenge to determine effective personalized treatments.

Objective: To perform a secondary analysis quantifying neural-to-symptom relationships in MDD as a function of antidepressant treatment.

Design: Double blind randomized controlled trial.

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Introduction: Neuroimaging technology has experienced explosive growth and transformed the study of neural mechanisms across health and disease. However, given the diversity of sophisticated tools for handling neuroimaging data, the field faces challenges in method integration, particularly across multiple modalities and species. Specifically, researchers often have to rely on siloed approaches which limit reproducibility, with idiosyncratic data organization and limited software interoperability.

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