This study aims to create a reference database of digital cognitive assessment data in combination with neuroimaging data of patients with mild cognitive impairment. The investigators will explore and derive correlations between parameters from routine MRI images and brain volumetric analysis and the digital cognitive data to identify parameters that are relevant to classify MCI patients vs preexisting healthy control data.
Study Type
OBSERVATIONAL
Enrollment
117
Philips IntelliSpace Cognition (ISC) is a digital assessment platform that supports Healthcare Professionals (HCP) in assessing the cognition of individuals. It consists of two interfaces connected to the DCDx-module in the cloud. ISC is hosted on the Philips Health Suite Digital Platform (HSDP). The first interface is the patient's interface and is presented via a tablet to collect data on how the patient performs a series of tests. The second interface is the clinician's interface and can be used on any PC or tablet. It allows for assessments to be selected and administered, observations made, data analytics performed and the generation of a report.
DENT Neurologic Institute
Amherst, New York, United States
Compare performance of patients with Mild Cognitive Impairment
Create a database of digital cognitive assessment data in combination with neuroimaging data of patients with mild cognitive impairment to: Compare performance of patients with Mild Cognitive Impairment (MCI) to normative data of the healthy US population and characterize a MCI cognitive profile.
Time frame: Feb-2020 until Dec-2021
Derive correlations between parameters
Create a database of digital cognitive assessment data in combination with neuroimaging data of patients with mild cognitive impairment to: Derive correlations between parameters derived from MRI images (NeuroQuant scores) and the digital cognitive data.
Time frame: Feb-2020 until Dec-2021
Identify (combinations of) parameters
Create a database of digital cognitive assessment data in combination with neuroimaging data of patients with mild cognitive impairment to: Identify (combinations of) parameters that are relevant to classify MCI patients vs healthy controls.
Time frame: Feb-2020 until Dec-2021
Explore predictive values
Create a database of digital cognitive assessment data in combination with neuroimaging data of patients with mild cognitive impairment to: Explore predictive value of combination of neuroimaging and digital cognitive outcome parameters to predict MCI to Alzheimer's disease conversion.
Time frame: Feb-2020 until Dec-2021
Exploratory analysis to find new outcome measures from the raw input data of the digital cognitive tests.
Time frame: Feb-2020 until Dec-2021
Evaluate the performance of ISC scoring algorithms.
Time frame: Feb-2020 until Dec-2021
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
To explore usability aspects of ISC with MCI patients.
Time frame: Feb-2020 until Dec-2021