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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Evaluation of Mild Cognitive Impairment through Perientorhinal/Hippocampal Imaging and Comprehensive
Sara Invitto1, Paolo Boscolo-Rizzo2, Giacomo Spinato3
1Laboratory on Cognitive and Psychophysiological Olfactory Processes, Department of Biological and Environmental Science and Technologies, University of Salento, 73100 Lecce, Italy.
Abstract:
Mild cognitive impairment (MCI) is a significant concern as it is a risk factor for AD progression, and early detection is vital in order to delay dementia onset and enable potential therapeutic interventions. Olfactory impairment is recognized as a predictive biomarker in neurodegenerative processes. The aims of this study were to explore the degree of entorhinal cortical atrophy (ERICA) and the severity of MCI symptoms; to analyze magnetic resonance imaging (MRI) results for the entorhinal cortex, parahippocampal gyrus, peri entorhinal cortex, and the cerebellar tentorium; and to perform a comprehensive neuropsychological and psychophysical assessment. The main results highlighted that in our sample-multidomain amnesic MCI patients with hyposmic symptomatology-we found that ERICA scores were associated with the severity of anxiety symptomatology. One possible hypothesis to explain this observation is that anxiety may contribute to neurodegenerative processes by inducing chronic stress and inflammation. Future research should consider the longitudinal development of neuropsychological scores, anxiety disorders, and brain atrophy to determine their potential predictive value for MCI progression. These findings suggest the importance of psychological factors in MCI progression and the utility of neuropsychological assessment alongside neuroimaging techniques for early detection and follow-up in MCI patients.
Insights
Anxiety may worsen mild cognitive impairment (MCI) progression, as indicated by entorhinal cortical atrophy (ERICA) scores. Early detection of MCI and anxiety is crucial for potential interventions.
Area of Science:
- Neuroscience
- Gerontology
- Psychiatry
Background:
- Mild cognitive impairment (MCI) is a precursor to dementia, necessitating early detection for intervention.
- Olfactory impairment serves as an early biomarker for neurodegenerative diseases.
- Assessing brain structure and cognitive function is vital for understanding MCI progression.
Purpose of the Study:
- To investigate the relationship between entorhinal cortical atrophy (ERICA) and MCI symptom severity.
- To analyze MRI findings in specific brain regions (entorhinal cortex, parahippocampal gyrus, etc.).
- To conduct comprehensive neuropsychological and psychophysical assessments in MCI patients.
Main Methods:
- Utilized magnetic resonance imaging (MRI) to measure entorhinal cortical atrophy (ERICA).
- Performed detailed neuropsychological assessments to evaluate cognitive function.
- Included psychophysical evaluations, focusing on olfactory function and anxiety symptoms.
Main Results:
- Found a significant association between ERICA scores and anxiety symptom severity in multidomain amnestic MCI patients with hyposmia.
- Hypothesized that chronic stress and inflammation from anxiety may contribute to neurodegeneration.
- Highlighted the link between psychological factors and MCI progression.
Conclusions:
- Psychological factors, particularly anxiety, play a role in the progression of mild cognitive impairment.
- Neuroimaging and neuropsychological assessments are valuable tools for early MCI detection and patient monitoring.
- Further longitudinal research is needed to confirm the predictive value of anxiety and brain atrophy in MCI.
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