Cerebrovascular CirculationNCT02729428
MRI Biomarkers and Exercise
An observational study of Cerebrovascular Circulation, run by University of Wisconsin, Madison at 1 site in United States.
Trial summary
The overall goal of observational study is to examine the age-related and habitual exercise training status-related differences in structural and functional changes in the human brain, detected by magnetic resonance (MR) imaging. Read more about this study
- Who is it for?
- Ages 18 to 75 yearsHealthy volunteers can take part
- Conditions the study is for
- Cerebrovascular Circulation
- What is being tested?
- MRI
- Type of treatment
- Medical device
- How many people
- 71 participants
- Where
- 1 siteUnited States
- Study dates
- Apr 2016to Apr 2019
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 75 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Subjects for this study will include healthy young adults (18-35 years old), sedentary older adults (55-75 years old), and healthy exercise trained older adults (55-75 years old). Both men and women will be eligible to participate in this study.
Who may be able to join
- Between 18-35 or 55-75
- Body mass index <34 kg/m2
- Physically active (exercise more than 3 times per week for at least 30 min) or sedentary (no formal exercise over 1 hour per week)
Who cannot join
- Current smoker
- History or evidence of: hepatic disease, renal disease, hematological disease, peripheral vascular disease, stroke/neurovascular disease, diabetes, hypertension
- Part of a vulnerable population (e.g. pregnant women, prisoner, individuals lacking capacity to consent, etc.)
Trial locations and contacts
1 site in 1 country.
About this study
Official title: MRI Biomarkers of Risk in Sedentary and Exercise Trained Humans
The overall goal of observational study is to examine the age-related and habitual exercise training status-related differences in structural and functional changes in the human brain, detected by magnetic resonance (MR) imaging.
Read the detailed description
Normal aging reduces cerebral blood flow, brain volume, and cognitive function, thereby increasing the risk of dementia or Alzheimer's disease. Aging is associated with increased white matter hyperintensities (WMH) and appears to alter functional connectivity within the brain both of which associated with cognitive function (references). Observational studies suggest that regular physical activity is associated with improved cognitive function and higher cerebral blood flow 1,2. However, it is unknown if aging or exercise training status alters the structural and functional biomarkers that are predictive of cognitive decline. Thus, the overall goal of this project is to examine the age-related and exercise training status-related differences in structural and functional changes in the brain, detected by magnetic resonance (MR) imaging.
- To determine if white matter hyperintensities on MRI scans of the brain are altered by aging and exercise training status.
- To determine the interaction of aging and habitual physical activity on functional connectivity in the brain.
- Conditions
- Cerebrovascular Circulation
- Being tested
- MRI
- Keywords
- Aging, White Matter Hyperintensity Volume, Default Mode Network Connectivity, Cognitive Function, Cardiorespiratory Fitness, Magnetic Resonance Imaging
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
MRIDevice
Participants will undergo an MRI scan
| Study group | Role | What they receive |
|---|---|---|
| Exercise trained young adults | Exercise trained young adults between the age of 18-35 years. Receives: Device: MRI | |
| Sedentary young adults | Sedentary young adults between the age of 18-35 years. Receives: Device: MRI | |
| Exercise trained older adults | Exercise trained older adults between the age of 55-75 years. Receives: Device: MRI | |
| Sedentary older adults | Sedentary older adults between the age of 55-75 years. Receives: Device: MRI |
What is being measured
The primary outcome is the main question the study is designed to answer.
White Matter Hyperintensity Volume
Utilize an MRI to measure brain volume when participant is at rest
Measured: 60 minutes
Secondary outcomes (2)
Default Mode Network Connectivity
Utilize an MRI to measure functional connectivity in the brain when participant is at rest
Measured: 60 minutes
Middle Cerebral Artery Blood Flow Scan
Utilize an MRI to measure middle cerebral artery blood flow in the brain when the participant is at rest
Measured: 60 minutes
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted6 Apr 2016 (estimated)
- Study startApr 2016
- Primary completionApr 2019
- Study completionApr 2019
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (30)Papers the sponsor has linked to this study.
- Other trials for Cerebrovascular CirculationStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case-control
- Time perspective
- Prospective
- Enrolment
- 71 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Wisconsin, Madison
- Sponsor type
- University, hospital or other
- Collaborators
- National Institutes of Health (NIH)
- Responsible party
- Sponsor
- Investigators
- Jill N Barnes, PhD, Principal investigator, University of Wisconsin, Madison
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02729428
- Sponsor's protocol ID
- 2015-1611
- Other IDs
- CVR-AAA4385, A176000, EDUC/KINESIOLOGY/KINESIO
- Status last verified
- Dec 2019
- First submitted
- 24 Mar 2016
- Last updated
- 9 Dec 2019
- Results posted
- No
- Data monitoring committee
- No
- Individual data sharing
- No
Publications
Erickson KI, Voss MW, Prakash RS, Basak C, Szabo A, Chaddock L, Kim JS, Heo S, Alves H, White SM, Wojcicki TR, Mailey E, Vieira VJ, Martin SA, Pence BD, Woods JA, McAuley E, Kramer AF. Exercise training increases size of hippocampus and improves memory. Proc Natl Acad Sci U S A. 2011 Feb 15;108(7):3017-22. doi: 10.1073/pnas.1015950108. Epub 2011 Jan 31.
PubMed 21282661Ainslie PN, Cotter JD, George KP, Lucas S, Murrell C, Shave R, Thomas KN, Williams MJ, Atkinson G. Elevation in cerebral blood flow velocity with aerobic fitness throughout healthy human ageing. J Physiol. 2008 Aug 15;586(16):4005-10. doi: 10.1113/jphysiol.2008.158279. Epub 2008 Jul 17.
PubMed 18635643Bakker SL, de Leeuw FE, den Heijer T, Koudstaal PJ, Hofman A, Breteler MM. Cerebral haemodynamics in the elderly: the rotterdam study. Neuroepidemiology. 2004 Jul-Aug;23(4):178-84. doi: 10.1159/000078503.
PubMed 15272220Selim M, Jones R, Novak P, Zhao P, Novak V. The effects of body mass index on cerebral blood flow velocity. Clin Auton Res. 2008 Dec;18(6):331-8. doi: 10.1007/s10286-008-0490-z. Epub 2008 Aug 22.
PubMed 18726054Dandona P, James IM, Newbury PA, Woollard ML, Beckett AG. Cerebral blood flow in diabetes mellitus: evidence of abnormal cerebrovascular reactivity. Br Med J. 1978 Jul 29;2(6133):325-6. doi: 10.1136/bmj.2.6133.325.
PubMed 687900Barnes JN, Schmidt JE, Nicholson WT, Joyner MJ. Cyclooxygenase inhibition abolishes age-related differences in cerebral vasodilator responses to hypercapnia. J Appl Physiol (1985). 2012 Jun;112(11):1884-90. doi: 10.1152/japplphysiol.01270.2011. Epub 2012 Mar 22.
PubMed 22442028Lipsitz LA, Mukai S, Hamner J, Gagnon M, Babikian V. Dynamic regulation of middle cerebral artery blood flow velocity in aging and hypertension. Stroke. 2000 Aug;31(8):1897-903. doi: 10.1161/01.str.31.8.1897.
PubMed 10926954Kearney-Schwartz A, Rossignol P, Bracard S, Felblinger J, Fay R, Boivin JM, Lecompte T, Lacolley P, Benetos A, Zannad F. Vascular structure and function is correlated to cognitive performance and white matter hyperintensities in older hypertensive patients with subjective memory complaints. Stroke. 2009 Apr;40(4):1229-36. doi: 10.1161/STROKEAHA.108.532853. Epub 2009 Feb 26.
PubMed 19246701Smith EE, Greenberg SM. Beta-amyloid, blood vessels, and brain function. Stroke. 2009 Jul;40(7):2601-6. doi: 10.1161/STROKEAHA.108.536839. Epub 2009 May 14.
PubMed 19443808Barnes JN, Taylor JL, Kluck BN, Johnson CP, Joyner MJ. Cerebrovascular reactivity is associated with maximal aerobic capacity in healthy older adults. J Appl Physiol (1985). 2013 May 15;114(10):1383-7. doi: 10.1152/japplphysiol.01258.2012. Epub 2013 Mar 7.
PubMed 23471946Girouard H, Iadecola C. Neurovascular coupling in the normal brain and in hypertension, stroke, and Alzheimer disease. J Appl Physiol (1985). 2006 Jan;100(1):328-35. doi: 10.1152/japplphysiol.00966.2005.
PubMed 16357086Geda YE, Roberts RO, Knopman DS, Christianson TJ, Pankratz VS, Ivnik RJ, Boeve BF, Tangalos EG, Petersen RC, Rocca WA. Physical exercise, aging, and mild cognitive impairment: a population-based study. Arch Neurol. 2010 Jan;67(1):80-6. doi: 10.1001/archneurol.2009.297.
PubMed 20065133Baker LD, Frank LL, Foster-Schubert K, Green PS, Wilkinson CW, McTiernan A, Cholerton BA, Plymate SR, Fishel MA, Watson GS, Duncan GE, Mehta PD, Craft S. Aerobic exercise improves cognition for older adults with glucose intolerance, a risk factor for Alzheimer's disease. J Alzheimers Dis. 2010;22(2):569-79. doi: 10.3233/JAD-2010-100768.
PubMed 20847403Lautenschlager NT, Cox KL, Flicker L, Foster JK, van Bockxmeer FM, Xiao J, Greenop KR, Almeida OP. Effect of physical activity on cognitive function in older adults at risk for Alzheimer disease: a randomized trial. JAMA. 2008 Sep 3;300(9):1027-37. doi: 10.1001/jama.300.9.1027.
PubMed 18768414Galetta F, Franzoni F, Plantinga Y, Ghiadoni L, Rossi M, Prattichizzo F, Carpi A, Taddei S, Santoro G. Ambulatory blood pressure monitoring and endothelium-dependent vasodilation in the elderly athletes. Biomed Pharmacother. 2006 Sep;60(8):443-7. doi: 10.1016/j.biopha.2006.07.013. Epub 2006 Aug 2.
PubMed 16904861
Study at a glance
From the registry record, last updated by the sponsor on 9 Dec 2019. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- MRI Biomarkers of Risk in Sedentary and Exercise Trained Humans
- ClinicalTrials.gov ID
- NCT02729428
- Acronym / sponsor ID
- 2015-1611
- Conditions
- Cerebrovascular Circulation
- Keywords
- Aging, White Matter Hyperintensity Volume, Default Mode Network Connectivity, Cognitive Function, Cardiorespiratory Fitness, Magnetic Resonance Imaging
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 71 participants (actual)
- Lead sponsor
- University of Wisconsin, MadisonUniversity, hospital or other
- Collaborators
- National Institutes of Health (NIH)
- Study start
- Apr 2016 (actual)
- Primary completion
- Apr 2019 (actual)
- Study completion
- Apr 2019 (actual)
- First posted
- 6 Apr 2016 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The overall goal of observational study is to examine the age-related and habitual exercise training status-related differences in structural and functional changes in the human brain, detected by magnetic resonance (MR) imaging.
Detailed description
Normal aging reduces cerebral blood flow, brain volume, and cognitive function, thereby increasing the risk of dementia or Alzheimer's disease. Aging is associated with increased white matter hyperintensities (WMH) and appears to alter functional connectivity within the brain both of which associated with cognitive function (references). Observational studies suggest that regular physical activity is associated with improved cognitive function and higher cerebral blood flow 1,2. However, it is unknown if aging or exercise training status alters the structural and functional biomarkers that are predictive of cognitive decline. Thus, the overall goal of this project is to examine the age-related and exercise training status-related differences in structural and functional changes in the brain, detected by magnetic resonance (MR) imaging.
- To determine if white matter hyperintensities on MRI scans of the brain are altered by aging and exercise training status.
- To determine the interaction of aging and habitual physical activity on functional connectivity in the brain.
Study design
- Observational model
- Case-control
- Time perspective
- Prospective
- Number of arms
- 4
| Arm | Type | Receives |
|---|---|---|
| Exercise trained young adults | – | Device: MRIExercise trained young adults between the age of 18-35 years. |
| Sedentary young adults | – | Device: MRISedentary young adults between the age of 18-35 years. |
| Exercise trained older adults | – | Device: MRIExercise trained older adults between the age of 55-75 years. |
| Sedentary older adults | – | Device: MRISedentary older adults between the age of 55-75 years. |
Who may qualify
- Ages
- 18 to 75 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Subjects for this study will include healthy young adults (18-35 years old), sedentary older adults (55-75 years old), and healthy exercise trained older adults (55-75 years old). Both men and women will be eligible to participate in this study.
Key inclusion criteria (3 listed)
- Between 18-35 or 55-75
- Body mass index <34 kg/m2
- Physically active (exercise more than 3 times per week for at least 30 min) or sedentary (no formal exercise over 1 hour per week)
Key exclusion criteria (3 listed)
- Current smoker
- History or evidence of: hepatic disease, renal disease, hematological disease, peripheral vascular disease, stroke/neurovascular disease, diabetes, hypertension
- Part of a vulnerable population (e.g. pregnant women, prisoner, individuals lacking capacity to consent, etc.)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| MRIParticipants will undergo an MRI scan | Device | Exercise trained older adults, Exercise trained young adults, Sedentary older adults, Sedentary young adults |
Primary outcome
White Matter Hyperintensity Volume
Time frame: 60 minutes
Utilize an MRI to measure brain volume when participant is at rest
2 secondary outcomes
Default Mode Network Connectivity
Time frame: 60 minutes
Middle Cerebral Artery Blood Flow Scan
Time frame: 60 minutes
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 9 Dec 2019.
- Background: PubMed 21282661Erickson KI, Voss MW, Prakash RS, Basak C, Szabo A, Chaddock L, Kim JS, Heo S, Alves H, White SM, Wojcicki TR, Mailey E, Vieira VJ, Martin SA, Pence BD, Woods JA, McAuley E, Kramer AF. Exercise training increases size of hippocampus and improves memory. Proc Natl Acad Sci U S A. 2011 Feb 15;108(7):3017-22. doi: 10.1073/pnas.1015950108. Epub 2011 Jan 31.
- Background: PubMed 18635643Ainslie PN, Cotter JD, George KP, Lucas S, Murrell C, Shave R, Thomas KN, Williams MJ, Atkinson G. Elevation in cerebral blood flow velocity with aerobic fitness throughout healthy human ageing. J Physiol. 2008 Aug 15;586(16):4005-10. doi: 10.1113/jphysiol.2008.158279. Epub 2008 Jul 17.
- Background: PubMed 15272220Bakker SL, de Leeuw FE, den Heijer T, Koudstaal PJ, Hofman A, Breteler MM. Cerebral haemodynamics in the elderly: the rotterdam study. Neuroepidemiology. 2004 Jul-Aug;23(4):178-84. doi: 10.1159/000078503.
- Background: PubMed 18726054Selim M, Jones R, Novak P, Zhao P, Novak V. The effects of body mass index on cerebral blood flow velocity. Clin Auton Res. 2008 Dec;18(6):331-8. doi: 10.1007/s10286-008-0490-z. Epub 2008 Aug 22.
- Background: PubMed 687900Dandona P, James IM, Newbury PA, Woollard ML, Beckett AG. Cerebral blood flow in diabetes mellitus: evidence of abnormal cerebrovascular reactivity. Br Med J. 1978 Jul 29;2(6133):325-6. doi: 10.1136/bmj.2.6133.325.
- Background: PubMed 22442028Barnes JN, Schmidt JE, Nicholson WT, Joyner MJ. Cyclooxygenase inhibition abolishes age-related differences in cerebral vasodilator responses to hypercapnia. J Appl Physiol (1985). 2012 Jun;112(11):1884-90. doi: 10.1152/japplphysiol.01270.2011. Epub 2012 Mar 22.
- Background: PubMed 10926954Lipsitz LA, Mukai S, Hamner J, Gagnon M, Babikian V. Dynamic regulation of middle cerebral artery blood flow velocity in aging and hypertension. Stroke. 2000 Aug;31(8):1897-903. doi: 10.1161/01.str.31.8.1897.
- Background: PubMed 19246701Kearney-Schwartz A, Rossignol P, Bracard S, Felblinger J, Fay R, Boivin JM, Lecompte T, Lacolley P, Benetos A, Zannad F. Vascular structure and function is correlated to cognitive performance and white matter hyperintensities in older hypertensive patients with subjective memory complaints. Stroke. 2009 Apr;40(4):1229-36. doi: 10.1161/STROKEAHA.108.532853. Epub 2009 Feb 26.
- Background: PubMed 19443808Smith EE, Greenberg SM. Beta-amyloid, blood vessels, and brain function. Stroke. 2009 Jul;40(7):2601-6. doi: 10.1161/STROKEAHA.108.536839. Epub 2009 May 14.
- Background: PubMed 23471946Barnes JN, Taylor JL, Kluck BN, Johnson CP, Joyner MJ. Cerebrovascular reactivity is associated with maximal aerobic capacity in healthy older adults. J Appl Physiol (1985). 2013 May 15;114(10):1383-7. doi: 10.1152/japplphysiol.01258.2012. Epub 2013 Mar 7.
- Background: PubMed 16357086Girouard H, Iadecola C. Neurovascular coupling in the normal brain and in hypertension, stroke, and Alzheimer disease. J Appl Physiol (1985). 2006 Jan;100(1):328-35. doi: 10.1152/japplphysiol.00966.2005.
- Background: PubMed 20065133Geda YE, Roberts RO, Knopman DS, Christianson TJ, Pankratz VS, Ivnik RJ, Boeve BF, Tangalos EG, Petersen RC, Rocca WA. Physical exercise, aging, and mild cognitive impairment: a population-based study. Arch Neurol. 2010 Jan;67(1):80-6. doi: 10.1001/archneurol.2009.297.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Jill N Barnes, PhD principal investigator
University of Wisconsin, Madison
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Cerebrovascular Circulation, run by University of Wisconsin, Madison at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 9 Dec 2019. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
White Matter Hyperintensity Volume (time frame: 60 minutes). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT02729428, which also lists 30 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 9 Dec 2019.