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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
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Characterizing cognitive inhibitory deficits in mild cognitive impairment
Erika Borella1, Barbara Carretti1, Micaela Mitolo1
1Department of General Psychology University of Padova, Via Venezia, 8, 35131 Padova, Italy.
Psychiatry Research
|March 4, 2017
Summary
Mild cognitive impairment (MCI) is linked to specific executive functioning deficits, particularly in resisting proactive interference. This suggests targeted inhibitory control issues in pathological aging.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Gerontology
Background:
- Mild cognitive impairment (MCI) is associated with executive functioning (EF) deficits and memory impairments.
- The specific inhibitory mechanisms underlying EF impairment in MCI remain underexplored.
Purpose of the Study:
- To systematically investigate inhibitory function in individuals with MCI.
- To determine if pathological aging in MCI is characterized by specific deficits in inhibitory processes.
Main Methods:
- Assessed prepotent response inhibition using the Color Stroop test.
- Evaluated response to distracters with a text-based distracter task.
- Measured resistance to proactive interference via a dedicated proactive interference task.
- Compared performance of individuals with MCI against healthy older controls.
Main Results:
- Individuals with MCI exhibited significantly more intrusion errors in the proactive interference task compared to controls.
- Performance in prepotent response inhibition and response to distracters was comparable between MCI and control groups.
- This pattern indicates specific, rather than global, inhibition-related deficits in MCI.
Conclusions:
- Mild cognitive impairment is characterized by specific deficits in inhibitory control, particularly in resisting proactive interference.
- These findings highlight a distinct inhibitory dysfunction associated with pathological aging in MCI.
- Targeted interventions addressing proactive interference may benefit individuals with MCI.
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