MRI Biomarkers and Exercise

Cerebrovascular Circulation Clinical Trial

Official title:

MRI Biomarkers of Risk in Sedentary and Exercise Trained Humans

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT02729428
• Other study ID #: 2015-1611
• Secondary ID: CVR-AAA4385A1760
• Status: Completed
• Start date: April 2016
• Est. completion date: April 2019

Study information

• Verified date: December 2019
• Source: University of Wisconsin, Madison
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical 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.

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.

1. To determine if white matter hyperintensities on MRI scans of the brain are altered by aging and exercise training status.

2. To determine the interaction of aging and habitual physical activity on functional connectivity in the brain.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 71
• Est. completion date: April 2019
• Est. primary completion date: April 2019
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years to 75 Years

Eligibility

Inclusion Criteria:

• 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)

Exclusion Criteria:

• 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.)

Related Conditions & MeSH terms

• Cerebrovascular Circulation

Intervention

Device:
• MRI
Participants will undergo an MRI scan

Locations

Country	Name	City	State
United States	Gymnasium-Natatorium	Madison	Wisconsin

Sponsors (2)

Lead Sponsor	Collaborator
University of Wisconsin, Madison	National Institutes of Health (NIH)

Country where clinical trial is conducted

United States, 

References & Publications (30)

Ainslie 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. — View Citation

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Barnes 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. — View Citation

Chen G, Ward BD, Xie C, Li W, Wu Z, Jones JL, Franczak M, Antuono P, Li SJ. Classification of Alzheimer disease, mild cognitive impairment, and normal cognitive status with large-scale network analysis based on resting-state functional MR imaging. Radiology. 2011 Apr;259(1):213-21. doi: 10.1148/radiol.10100734. Epub 2011 Jan 19. — View Citation

Damoiseaux JS, Beckmann CF, Arigita EJ, Barkhof F, Scheltens P, Stam CJ, Smith SM, Rombouts SA. Reduced resting-state brain activity in the "default network" in normal aging. Cereb Cortex. 2008 Aug;18(8):1856-64. Epub 2007 Dec 5. — View Citation

Dandona 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. — View Citation

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. — View Citation

Franzoni F, Ghiadoni L, Galetta F, Plantinga Y, Lubrano V, Huang Y, Salvetti G, Regoli F, Taddei S, Santoro G, Salvetti A. Physical activity, plasma antioxidant capacity, and endothelium-dependent vasodilation in young and older men. Am J Hypertens. 2005 Apr;18(4 Pt 1):510-6. — View Citation

Galetta 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. Epub 2006 Aug 2. — View Citation

Geda 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. — View Citation

Girouard 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. Review. — View Citation

Green DJ, O'Driscoll G, Joyner MJ, Cable NT. Exercise and cardiovascular risk reduction: time to update the rationale for exercise? J Appl Physiol (1985). 2008 Aug;105(2):766-8. doi: 10.1152/japplphysiol.01028.2007. Epub 2008 Jan 3. — View Citation

Greicius MD, Krasnow B, Reiss AL, Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci U S A. 2003 Jan 7;100(1):253-8. Epub 2002 Dec 27. — View Citation

Jones DT, Machulda MM, Vemuri P, McDade EM, Zeng G, Senjem ML, Gunter JL, Przybelski SA, Avula RT, Knopman DS, Boeve BF, Petersen RC, Jack CR Jr. Age-related changes in the default mode network are more advanced in Alzheimer disease. Neurology. 2011 Oct 18;77(16):1524-31. doi: 10.1212/WNL.0b013e318233b33d. Epub 2011 Oct 5. — View Citation

Kantarci K, Weigand SD, Przybelski SA, Shiung MM, Whitwell JL, Negash S, Knopman DS, Boeve BF, O'Brien PC, Petersen RC, Jack CR Jr. Risk of dementia in MCI: combined effect of cerebrovascular disease, volumetric MRI, and 1H MRS. Neurology. 2009 Apr 28;72(17):1519-25. doi: 10.1212/WNL.0b013e3181a2e864. — View Citation

Kearney-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. — View Citation

Lautenschlager 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. Erratum in: JAMA. 2009 Jan 21;301(3):276. — View Citation

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Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL. A default mode of brain function. Proc Natl Acad Sci U S A. 2001 Jan 16;98(2):676-82. — View Citation

Raz N, Yang Y, Dahle CL, Land S. Volume of white matter hyperintensities in healthy adults: contribution of age, vascular risk factors, and inflammation-related genetic variants. Biochim Biophys Acta. 2012 Mar;1822(3):361-9. doi: 10.1016/j.bbadis.2011.08.007. Epub 2011 Aug 25. — View Citation

Rosano C, Watson N, Chang Y, Newman AB, Aizenstein HJ, Du Y, Venkatraman V, Harris TB, Barinas-Mitchell E, Sutton-Tyrrell K. Aortic pulse wave velocity predicts focal white matter hyperintensities in a biracial cohort of older adults. Hypertension. 2013 Jan;61(1):160-5. doi: 10.1161/HYPERTENSIONAHA.112.198069. Epub 2012 Nov 19. — View Citation

Seifert T, Brassard P, Wissenberg M, Rasmussen P, Nordby P, Stallknecht B, Adser H, Jakobsen AH, Pilegaard H, Nielsen HB, Secher NH. Endurance training enhances BDNF release from the human brain. Am J Physiol Regul Integr Comp Physiol. 2010 Feb;298(2):R372-7. doi: 10.1152/ajpregu.00525.2009. Epub 2009 Nov 18. — View Citation

Selim 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. — View Citation

Silbert LC, Nelson C, Howieson DB, Moore MM, Kaye JA. Impact of white matter hyperintensity volume progression on rate of cognitive and motor decline. Neurology. 2008 Jul 8;71(2):108-13. doi: 10.1212/01.wnl.0000316799.86917.37. — View Citation

Smith 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. Review. — View Citation

van Dijk EJ, Prins ND, Vrooman HA, Hofman A, Koudstaal PJ, Breteler MM. Progression of cerebral small vessel disease in relation to risk factors and cognitive consequences: Rotterdam Scan study. Stroke. 2008 Oct;39(10):2712-9. doi: 10.1161/STROKEAHA.107.513176. Epub 2008 Jul 17. — View Citation

Voss MW, Erickson KI, Prakash RS, Chaddock L, Malkowski E, Alves H, Kim JS, Morris KS, White SM, Wójcicki TR, Hu L, Szabo A, Klamm E, McAuley E, Kramer AF. Functional connectivity: a source of variance in the association between cardiorespiratory fitness and cognition? Neuropsychologia. 2010 Apr;48(5):1394-406. doi: 10.1016/j.neuropsychologia.2010.01.005. Epub 2010 Jan 15. — View Citation

* Note: There are 30 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	White Matter Hyperintensity Volume	Utilize an MRI to measure brain volume when participant is at rest	60 minutes
Secondary	Default Mode Network Connectivity	Utilize an MRI to measure functional connectivity in the brain when participant is at rest	60 minutes
Secondary	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	60 minutes