Dementia With Lewy Bodies - Infinitome

August 19, 2024 updated by: HealthPartners Institute

Connectomic Analysis in Dementia With Lewy Bodies: A Potential Diagnostic Imaging Biomarker

Dementia with Lewy bodies (DLB) is the second most common cause of dementia and is associated with parkinsonism, hallucinations, and cognitive fluctuations. Diagnosis is often either missed or delayed due to physician lack of familiarity with characteristic features, the inability of structural MRI to detect a pathological signature for this condition, and the lack of healthcare provider access to "indicative biomarkers" that are either unavailable at community clinics or costly due to lack of insurance coverage. The role of resting state function MRI (rs-fMRI) as a diagnostic biomarker has been underexplored in this disease. We propose using a novel cloud-based automated imaging software processing program that identifies abnormal brain networks or connectomes using resting state functional MRI (rs-fMRI) and data from the Human Connectome Project (HCP). Furthermore, the imaging protocol to capture this data is relatively short (15 minutes) and can be performed at most imaging centers, lending potential clinical applicability to this study. We intend to study dysfunctional large scale brain networks (LSBNs) in DLB by comparing rs-fMRI imaging data in this population with cognitively normal (CN) and mild Alzheimer's disease (AD) subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI)-2/3 database.

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

Omniscient, a for-profit, Sydney, Australia-based company, created the cloud-based software Infinitome, a program that utilizes data from the Human Connectome Project (HCP) together with machine learning to analyze diffusion tensor and resting-state fMRI imaging data from remote sites. The foundation for this imaging tool is based upon the HCP atlas, which has also informed prior publications from our group, including the Connectomic Atlas of the Human Cerebrum (Baker, Burks, Briggs, Conner, et al. 2018). The Infinitome program creates a subject specific version of the Human Connectome Project Multimodal Parcellation (HCP-MMP1) atlas using diffusion tractography. Analytics are performed on both diffusion tensor imaging and rs-fMRI. Outlier detection using a tangent space connectivity matrix is performed by comparing results with a subset of 300 normal HCP subject fMRI samples to determine the range of normal correlations for each regions of interest in a large scale brain network which include:

  1. Locus coeruleus vs. Nucleus basalis of Meynert
  2. Locus coeruelus vs. Intralaminar nucleus of the thalamus
  3. Nucleus basalis of Meynert vs. Intralaminar nuclei of the thalamus
  4. FST in the vs. Area PH in the lateral occipital lobe
  5. Substantia nigra vs. Caudate nucleus Clinical Measures will be correlated with functional connectivity scores to identify relationship between clinical symptoms and large scale brain networks in DLB

Study Type

Observational

Enrollment (Actual)

91

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Minnesota
      • Saint Paul, Minnesota, United States, 55130
        • HealthPartners Neuroscience Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

40 years to 90 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

HealthPartners Neurology Clinic in Saint Paul, MN undergoing care for DLB and subjects included in the ADNI database.

Description

Inclusion Criteria:

  • Age 40-90 years
  • Established DLB diagnosis
  • Mini mental status exam (MMSE) >15

Exclusion Criteria:

  • Other forms of dementia including, but not limited to Alzheimer's dementia, frontotemporal dementia, vascular dementia, normal pressure hydrocephalus (NPH), etc,
  • Inability to tolerate brain function magnetic resonance imaging (fMRI)
  • Risk of brain fMRI due to implants or metal.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Cross-Sectional

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Patients with DLB
Patients diagnosed with DLB enrolled from the HealthPartners Neuroscience Center.
All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.
Patients with Alzheimer's disease (AD)
Patients diagnosed with AD age and sex-matched, selected from the ADNI database.
All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.
Patients with normal cognition (CN)
Patients diagnosed with normal cognition age and sex-matched, selected from the ADNI database.
All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Functional Connectivity Scores Between Pairs of Large Scale Brain Networks.
Time Frame: Baseline

Identify functional connectivity scores between pairs of large scale brain networks as determined by connectomic analysis using rs-fMRI Infinitome software in order to compare functional connectivity scores between groups. Eight parcellation pairs were chosen as primary pairs of interest.

For each parcellation pair - Range [-1,1]. Higher positive score indicates greater connectivity.

Baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Correlation of Clinical Measures and Functional Connectivity Scores
Time Frame: Baseline

Clinical Measures will be correlated with functional connectivity scores to identify relationship between clinical symptoms and large scale brain networks in DLB . Range [-1,1]. Higher score indicates greater connectivity.

Correlation of:

  1. Caudate R/Substantia Nigra R and Clock Drawing Test
  2. Caudate R/Substantia Nigra R and ADAS Number Cancellation
  3. PH R/FST R and ADAS Construction Praxis
  4. PH R/FST R and Clock Drawing Test
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Michael H Rosenbloom, MD, HealthPartners Neurology

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 27, 2021

Primary Completion (Actual)

February 8, 2023

Study Completion (Actual)

June 19, 2023

Study Registration Dates

First Submitted

February 22, 2021

First Submitted That Met QC Criteria

February 23, 2021

First Posted (Actual)

February 26, 2021

Study Record Updates

Last Update Posted (Estimated)

November 1, 2024

Last Update Submitted That Met QC Criteria

August 19, 2024

Last Verified

October 1, 2023

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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