Publications by authors named "C Andreou"

Breath analysis is increasingly recognized as a powerful noninvasive diagnostic technique, and a plethora of exhaled volatile biomarkers have been associated with various diseases. However, traditional analytical methodologies are not amenable to high-throughput diagnostic applications at the point of need. An optical spectroscopic technique, surface-enhanced Raman spectroscopy (SERS), mostly used in the research setting for liquid sample analysis, has recently been applied to breath-based diagnostics.

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Article Synopsis
  • Facial expressions can reveal stress levels through specific muscle movements known as Action Units (AUs), which are analyzed using Machine Learning techniques.
  • A study created a dataset from 58 participants completing various stress-related tasks to automatically recognize facial AUs, employing advanced computational methods for feature selection and modeling stress implications.
  • Findings showed that faces exhibited more AUs and higher intensity during acute stress, achieving over 93% accuracy in distinguishing between stress and neutral conditions, highlighting the significance of certain AU combinations for stress recognition.
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The development of computational models for studying mental disorders is on the rise. However, their psychometric properties remain understudied, posing a risk of undermining their use in empirical research and clinical translation. Here we investigated test-retest reliability (with a 2-week interval) of a computational assay probing advice-taking under volatility with a Hierarchical Gaussian Filter (HGF) model.

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Background: Measures of cortical topology are believed to characterize large-scale cortical networks. Previous studies used region of interest (ROI)-based approaches with predefined templates that limit analyses to linear pair-wise interactions between regions. As cortical topology is inherently complex, a non-linear dynamic model that measures the brain complexity at the voxel level is suggested to characterize topological complexities of brain regions and cortical folding.

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Introduction: Clinical high risk for psychosis (CHR) states are associated with an increased risk of transition to psychosis. However, the predictive value of CHR screening interviews is dependent on pretest risk enrichment in referred patients. This poses a major obstacle to CHR outreach campaigns since they invariably lead to risk dilution through enhanced awareness.

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