Trial Outcomes & Findings for Dementia With Lewy Bodies - Infinitome (NCT NCT04773041)

NCT ID: NCT04773041

Last Updated: 2024-11-01

Results Overview

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.

Recruitment status

COMPLETED

Target enrollment

91 participants

Primary outcome timeframe

Baseline

Results posted on

2024-11-01

Participant Flow

Participant milestones

Participant milestones
Measure
Patients With DLB
Patients diagnosed with DLB enrolled from the HealthPartners Neuroscience Center. Infinitome: 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 MMSE-matched, selected from the ADNI database. Infinitome: 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 matched, selected from the ADNI database. Infinitome: All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.
Overall Study
STARTED
19
36
36
Overall Study
COMPLETED
18
36
36
Overall Study
NOT COMPLETED
1
0
0

Reasons for withdrawal

Reasons for withdrawal
Measure
Patients With DLB
Patients diagnosed with DLB enrolled from the HealthPartners Neuroscience Center. Infinitome: 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 MMSE-matched, selected from the ADNI database. Infinitome: 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 matched, selected from the ADNI database. Infinitome: All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.
Overall Study
Unable to data match
1
0
0

Baseline Characteristics

Dementia With Lewy Bodies - Infinitome

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
Patients With DLB
n=18 Participants
Patients diagnosed with DLB enrolled from the HealthPartners Neuroscience Center. Infinitome: All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.
Patients With Alzheimer's Disease (AD)
n=36 Participants
Patients diagnosed with AD age and MMSE-matched, selected from the ADNI database. Infinitome: All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.
Patients With Normal Cognition (CN)
n=36 Participants
Patients diagnosed with normal cognition age-matched, selected from the ADNI database. Infinitome: All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.
Total
n=90 Participants
Total of all reporting groups
Age, Continuous
75 years
STANDARD_DEVIATION 6.6 • n=93 Participants
76 years
STANDARD_DEVIATION 7.3 • n=4 Participants
74 years
STANDARD_DEVIATION 6.3 • n=27 Participants
75 years
STANDARD_DEVIATION 6.7 • n=483 Participants
Sex: Female, Male
Female
15 Participants
n=93 Participants
15 Participants
n=4 Participants
11 Participants
n=27 Participants
41 Participants
n=483 Participants
Sex: Female, Male
Male
3 Participants
n=93 Participants
21 Participants
n=4 Participants
25 Participants
n=27 Participants
49 Participants
n=483 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
0 Participants
n=93 Participants
1 Participants
n=4 Participants
4 Participants
n=27 Participants
5 Participants
n=483 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
18 Participants
n=93 Participants
35 Participants
n=4 Participants
32 Participants
n=27 Participants
85 Participants
n=483 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
n=93 Participants
0 Participants
n=4 Participants
0 Participants
n=27 Participants
0 Participants
n=483 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
n=93 Participants
0 Participants
n=4 Participants
0 Participants
n=27 Participants
0 Participants
n=483 Participants
Race (NIH/OMB)
Asian
0 Participants
n=93 Participants
0 Participants
n=4 Participants
0 Participants
n=27 Participants
0 Participants
n=483 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
n=93 Participants
0 Participants
n=4 Participants
0 Participants
n=27 Participants
0 Participants
n=483 Participants
Race (NIH/OMB)
Black or African American
0 Participants
n=93 Participants
2 Participants
n=4 Participants
6 Participants
n=27 Participants
8 Participants
n=483 Participants
Race (NIH/OMB)
White
18 Participants
n=93 Participants
32 Participants
n=4 Participants
29 Participants
n=27 Participants
79 Participants
n=483 Participants
Race (NIH/OMB)
More than one race
0 Participants
n=93 Participants
2 Participants
n=4 Participants
1 Participants
n=27 Participants
3 Participants
n=483 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
n=93 Participants
0 Participants
n=4 Participants
0 Participants
n=27 Participants
0 Participants
n=483 Participants
Education years
17 years
STANDARD_DEVIATION 4 • n=93 Participants
16 years
STANDARD_DEVIATION 3.6 • n=4 Participants
16 years
STANDARD_DEVIATION .99 • n=27 Participants
16 years
STANDARD_DEVIATION 4.1 • n=483 Participants
Mini-Mental State Examination (MMSE)
23 units on a scale
STANDARD_DEVIATION 2.2 • n=93 Participants
23 units on a scale
STANDARD_DEVIATION 2.6 • n=4 Participants
29 units on a scale
STANDARD_DEVIATION 2.6 • n=27 Participants
26 units on a scale
STANDARD_DEVIATION 2.5 • n=483 Participants

PRIMARY outcome

Timeframe: 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.

Outcome measures

Outcome measures
Measure
Patients With DLB
n=18 Participants
Patients diagnosed with DLB enrolled from the HealthPartners Neuroscience Center. Infinitome: All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.
Patients With Alzheimer's Disease (AD)
n=36 Participants
Patients diagnosed with AD age and MMSE-matched, selected from the ADNI database. Infinitome: All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.
Patients With Normal Cognition (CN)
n=36 Participants
Patients diagnosed with normal cognition age-matched, selected from the ADNI database. Infinitome: All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.
Functional Connectivity Scores Between Pairs of Large Scale Brain Networks.
PH_all and FST_left
0.307 connectivity score
Standard Error 0.009
0.456 connectivity score
Standard Error 0.006
0.433 connectivity score
Standard Error 0.006
Functional Connectivity Scores Between Pairs of Large Scale Brain Networks.
SubNigComp_left and Caud_left
0.124 connectivity score
Standard Error 0.012
0.122 connectivity score
Standard Error 0.005
0.132 connectivity score
Standard Error 0.004
Functional Connectivity Scores Between Pairs of Large Scale Brain Networks.
SubNigComp_left and Caud_right
0.134 connectivity score
Standard Error 0.006
0.112 connectivity score
Standard Error 0.005
0.144 connectivity score
Standard Error 0.005
Functional Connectivity Scores Between Pairs of Large Scale Brain Networks.
SubNigComp_right and Caud_left
0.088 connectivity score
Standard Error 0.012
0.127 connectivity score
Standard Error 0.003
0.130 connectivity score
Standard Error 0.004
Functional Connectivity Scores Between Pairs of Large Scale Brain Networks.
SubNigComp_right and Caud_right
0.063 connectivity score
Standard Error 0.01
0.123 connectivity score
Standard Error 0.004
0.123 connectivity score
Standard Error 0.004
Functional Connectivity Scores Between Pairs of Large Scale Brain Networks.
PH_right and FST_left
0.164 connectivity score
Standard Error 0.008
0.374 connectivity score
Standard Error 0.006
0.344 connectivity score
Standard Error 0.006
Functional Connectivity Scores Between Pairs of Large Scale Brain Networks.
PH_right and FST_right
0.340 connectivity score
Standard Error 0.010
0.517 connectivity score
Standard Error 0.006
0.442 connectivity score
Standard Error 0.005
Functional Connectivity Scores Between Pairs of Large Scale Brain Networks.
PH_all and FST_right
0.359 connectivity score
Standard Error 0.011
0.530 connectivity score
Standard Error 0.005
0.493 connectivity score
Standard Error 0.005

SECONDARY outcome

Timeframe: 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

Outcome measures

Outcome measures
Measure
Patients With DLB
n=18 Participants
Patients diagnosed with DLB enrolled from the HealthPartners Neuroscience Center. Infinitome: All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.
Patients With Alzheimer's Disease (AD)
n=36 Participants
Patients diagnosed with AD age and MMSE-matched, selected from the ADNI database. Infinitome: All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.
Patients With Normal Cognition (CN)
n=36 Participants
Patients diagnosed with normal cognition age-matched, selected from the ADNI database. Infinitome: All patients will have rs-FMRI images analyzed with the Infinitome cloud-based software processing program.
Correlation of Clinical Measures and Functional Connectivity Scores
Caudate R/Substantia Nigra R and Clock Drawing Test
-0.50 correlation coefficient
-0.23 correlation coefficient
0.26 correlation coefficient
Correlation of Clinical Measures and Functional Connectivity Scores
Caudate R/Substantia Nigra R and ADAS Number Cancellation
-0.65 correlation coefficient
-0.01 correlation coefficient
-0.06 correlation coefficient
Correlation of Clinical Measures and Functional Connectivity Scores
PH R/FST R and ADAS Construction Praxis
-0.31 correlation coefficient
-0.05 correlation coefficient
-0.02 correlation coefficient
Correlation of Clinical Measures and Functional Connectivity Scores
PH R/FST R and Clock Drawing Test
-0.17 correlation coefficient
0.18 correlation coefficient
-0.03 correlation coefficient

Adverse Events

Patients With DLB

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Patients With Alzheimer's Disease (AD)

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Patients With Normal Cognition (CN)

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Adverse event data not reported

Additional Information

Bhavani Kashyap, MBBS, PhD

HealthPartners Institute

Phone: 651-495-6363

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place