Publications by authors named "Paraskevi Parmpi"

Article Synopsis
  • - The aging process of the brain is affected by lifestyle, environmental, genetic factors, and age-related diseases, with advanced imaging and AI techniques helping to reveal the complexities of neuroanatomical changes.
  • - A study involving nearly 50,000 participants identified five major patterns of brain atrophy, which are quantified using R-indices to analyze their connections to various biomedical, lifestyle, and genetic factors.
  • - These R-indices not only predict disease progression and mortality but also offer a new, nuanced framework for understanding brain aging, which may enhance personalized diagnostics and improve clinical trial strategies.
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Article Synopsis
  • - The study focuses on how brain aging shows various neuroanatomical changes that could hint at early stages of neurodegenerative diseases, especially in individuals without diagnosed cognitive impairment.
  • - Researchers used a deep learning method to analyze structural brain measures from over 27,000 individuals aged 45 to 85 years from 1999 to 2020 to identify common patterns.
  • - Three subgroups were discovered: a typical aging group with minor brain changes, and two accelerated aging groups that exhibited more significant changes after age 65, which may correlate with genetics and risk factors for cognitive decline.
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Brain aging is a complex process influenced by various lifestyle, environmental, and genetic factors, as well as by age-related and often co-existing pathologies. MRI and, more recently, AI methods have been instrumental in understanding the neuroanatomical changes that occur during aging in large and diverse populations. However, the multiplicity and mutual overlap of both pathologic processes and affected brain regions make it difficult to precisely characterize the underlying neurodegenerative profile of an individual from an MRI scan.

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This study evaluates the individual, as well as relative and joint value of indices obtained from magnetic resonance imaging (MRI) patterns of brain atrophy (quantified by the SPARE-AD index), cerebrospinal fluid (CSF) biomarkers, APOE genotype, and cognitive performance (ADAS-Cog) in progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) within a variable follow-up period up to 6 years, using data from the Alzheimer's Disease Neuroimaging Initiative-1 (ADNI-1). SPARE-AD was first established as a highly sensitive and specific MRI-marker of AD vs. cognitively normal (CN) subjects (AUC = 0.

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Non-covalent molecular imprinting of poly(allylamine hydrochloride) (PAA.HCl) with D-glucose 6-phosphate monobarium salt (GPS-Ba) produced molecularly imprinted polymer hydrogels (MIP) having an affinity to glucose over fructose. The hydrogels were formed by ionic association of the template molecule, GPS-Ba, to the polymer, prior to covalent crosslinking using epichlorohydrin (EPI).

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