Adults 40 to 90, any sex, with Dementia With Lewy Bodies. Patients with the condition only — healthy volunteers not accepted.
Results — posted to ClinicalTrials.gov
Per-arm endpoint measurements with 95% confidence intervals where reported. Source: trial results section.
Functional Connectivity Scores Between Pairs of Large Scale Brain Networks.Primary· 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.
PH_right and FST_left
Group
Value
95% CI
Patients With DLB
0.164
± 0.008
Patients With Alzheimer's Disease (AD)
0.374
± 0.006
Patients With Normal Cognition (CN)
0.344
± 0.006
PH_right and FST_right
Group
Value
95% CI
Patients With DLB
0.340
± 0.010
Patients With Alzheimer's Disease (AD)
0.517
± 0.006
Patients With Normal Cognition (CN)
0.442
± 0.005
PH_all and FST_left
Group
Value
95% CI
Patients With DLB
0.307
± 0.009
Patients With Alzheimer's Disease (AD)
0.456
± 0.006
Patients With Normal Cognition (CN)
0.433
± 0.006
PH_all and FST_right
Group
Value
95% CI
Patients With DLB
0.359
± 0.011
Patients With Alzheimer's Disease (AD)
0.530
± 0.005
Patients With Normal Cognition (CN)
0.493
± 0.005
SubNigComp_left and Caud_left
Group
Value
95% CI
Patients With DLB
0.124
± 0.012
Patients With Alzheimer's Disease (AD)
0.122
± 0.005
Patients With Normal Cognition (CN)
0.132
± 0.004
SubNigComp_left and Caud_right
Group
Value
95% CI
Patients With DLB
0.134
± 0.006
Patients With Alzheimer's Disease (AD)
0.112
± 0.005
Patients With Normal Cognition (CN)
0.144
± 0.005
SubNigComp_right and Caud_left
Group
Value
95% CI
Patients With DLB
0.088
± 0.012
Patients With Alzheimer's Disease (AD)
0.127
± 0.003
Patients With Normal Cognition (CN)
0.130
± 0.004
SubNigComp_right and Caud_right
Group
Value
95% CI
Patients With DLB
0.063
± 0.01
Patients With Alzheimer's Disease (AD)
0.123
± 0.004
Patients With Normal Cognition (CN)
0.123
± 0.004
Correlation of Clinical Measures and Functional Connectivity ScoresSecondary· 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
Caudate R/Substantia Nigra R and Clock Drawing Test
Group
Value
95% CI
Patients With DLB
-0.50
Patients With Alzheimer's Disease (AD)
-0.23
Patients With Normal Cognition (CN)
0.26
Caudate R/Substantia Nigra R and ADAS Number Cancellation
Group
Value
95% CI
Patients With DLB
-0.65
Patients With Alzheimer's Disease (AD)
-0.01
Patients With Normal Cognition (CN)
-0.06
PH R/FST R and ADAS Construction Praxis
Group
Value
95% CI
Patients With DLB
-0.31
Patients With Alzheimer's Disease (AD)
-0.05
Patients With Normal Cognition (CN)
-0.02
PH R/FST R and Clock Drawing Test
Group
Value
95% CI
Patients With DLB
-0.17
Patients With Alzheimer's Disease (AD)
0.18
Patients With Normal Cognition (CN)
-0.03
Sponsor's own description
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.
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
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Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
Sponsor: as reported to ClinicalTrials.gov by HealthPartners Institute
Last refreshed: 1 November 2024
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