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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05948930
Other study ID # HP-00105789
Secondary ID
Status Recruiting
Phase N/A
First received
Last updated
Start date January 8, 2024
Est. completion date January 2025

Study information

Verified date February 2024
Source University of Maryland, Baltimore
Contact Linda Chang, M.D., M.S.
Phone 410 706 1036
Email LChang@som.umaryland.edu
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The prevalence of dementia will double in the next three decades in the U.S.; effective treatment or prevention for dementia is urgently needed. The current exploratory project aims to evaluate and understand how the brain and cognition may improve after a 12-week intervention that combines brain training and aerobic exercise training to improve brain function, both in those with mild cognitive impairment (some with possible prodromal Alzheimer's disease) and with healthy aging. Findings from this pilot project will guide and refine the development of a future larger clinical trial that aligns with the goals of the National Alzheimer's Plan of Action (NAPA), especially regarding "Prevent and Effectively Treat Alzheimer's Disease (AD) by 2025.


Recruitment information / eligibility

Status Recruiting
Enrollment 90
Est. completion date January 2025
Est. primary completion date October 2024
Accepts healthy volunteers No
Gender All
Age group 50 Years to 80 Years
Eligibility Inclusion Criteria: - Adult men and women of all races and ethnicities who are 50-80 years of age will be eligible. - Only sedentary adults will be eligible (engaging in structured activity for exercise (<3x/week). - Ability to use, and accessibility to, an iPad or computer. - Fluent in English. - The diagnosis of MCI will first be confirmed at the screening evaluation using the clinical dementia rating (CDR) scale and the Montreal Cognitive Assessment (MoCA). We will also evaluate their ADL using instrumental activities of daily living (IADL) to ensure they have preserved independence in functional abilities despite the cognitive deficits. The primary caregivers will be interviewed (either in person or by phone) for the participants' IADL to corroborate the independent functional status. Exclusion Criteria: - Does not have access to a computer or internet to perform the Cogmed® training AND is unwilling to come to the lab for the training. - Unable to undergo an MRI investigation based on claustrophobia or metal foreign bodies. - Symptomatic heart disease, Coronary artery disease, congestive heart failure, uncontrolled hypertension, significant cardiovascular disorders (on EKG and graded exercise test) that would prevent the participant from the exercise training; neurologic, musculoskeletal, or other condition that limits the subject's ability to complete study physical assessments. - Estimated verbal Intelligence Quotient (IQ) below 70 (based on the Wechsler Test of Adult Reading) which would invalidate the informed consent process for the study. - Self-reported moderate to severe substance use disorder(s) (e.g., self-reported intake >3 oz liquor, or three 4 oz glasses of wine, or three 12 oz cans of beer per day or illicit drug use). - Severe chronic or acute medical or other (non-MCI) neuropsychiatric conditions that might confound the cognitive or brain imaging measures (e.g., liver function tests >2.5 normal range or evidence for renal failure). - Body mass index >40 kg/m2.

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
Progressive aerobic exercise
Progressive aerobic exercise
Adaptive cognitive training
Adaptive cognitive training
Combined
Combine adaptive cognitive and progressive aerobic exercise training

Locations

Country Name City State
United States University of Maryland Baltimore Baltimore Maryland

Sponsors (1)

Lead Sponsor Collaborator
University of Maryland, Baltimore

Country where clinical trial is conducted

United States, 

References & Publications (18)

Brehmer Y, Westerberg H, Backman L. Working-memory training in younger and older adults: training gains, transfer, and maintenance. Front Hum Neurosci. 2012 Mar 27;6:63. doi: 10.3389/fnhum.2012.00063. eCollection 2012. — View Citation

Chacko BK, Kramer PA, Ravi S, Benavides GA, Mitchell T, Dranka BP, Ferrick D, Singal AK, Ballinger SW, Bailey SM, Hardy RW, Zhang J, Zhi D, Darley-Usmar VM. The Bioenergetic Health Index: a new concept in mitochondrial translational research. Clin Sci (Lond). 2014 Sep;127(6):367-73. doi: 10.1042/CS20140101. — View Citation

Chang L, Holt JL, Yakupov R, Jiang CS, Ernst T. Lower cognitive reserve in the aging human immunodeficiency virus-infected brain. Neurobiol Aging. 2013 Apr;34(4):1240-53. doi: 10.1016/j.neurobiolaging.2012.10.012. Epub 2012 Nov 15. — View Citation

Chang L, Lohaugen GC, Andres T, Jiang CS, Douet V, Tanizaki N, Walker C, Castillo D, Lim A, Skranes J, Otoshi C, Miller EN, Ernst TM. Adaptive working memory training improved brain function in human immunodeficiency virus-seropositive patients. Ann Neurol. 2017 Jan;81(1):17-34. doi: 10.1002/ana.24805. Epub 2016 Dec 28. — View Citation

Chang L, Lohaugen GC, Douet V, Miller EN, Skranes J, Ernst T. Neural correlates of working memory training in HIV patients: study protocol for a randomized controlled trial. Trials. 2016 Feb 2;17:62. doi: 10.1186/s13063-016-1160-4. — View Citation

Chang L, Yakupov R, Cloak C, Ernst T. Marijuana use is associated with a reorganized visual-attention network and cerebellar hypoactivation. Brain. 2006 May;129(Pt 5):1096-112. doi: 10.1093/brain/awl064. Epub 2006 Apr 3. — View Citation

Dolui S, Vidorreta M, Wang Z, Nasrallah IM, Alavi A, Wolk DA, Detre JA. Comparison of PASL, PCASL, and background-suppressed 3D PCASL in mild cognitive impairment. Hum Brain Mapp. 2017 Oct;38(10):5260-5273. doi: 10.1002/hbm.23732. Epub 2017 Jul 24. — View Citation

Ernst T, Chang L, Arnold S. Increased glial metabolites predict increased working memory network activation in HIV brain injury. Neuroimage. 2003 Aug;19(4):1686-93. doi: 10.1016/s1053-8119(03)00232-5. — View Citation

Ernst T, Chang L, Jovicich J, Ames N, Arnold S. Abnormal brain activation on functional MRI in cognitively asymptomatic HIV patients. Neurology. 2002 Nov 12;59(9):1343-9. doi: 10.1212/01.wnl.0000031811.45569.b0. — View Citation

Flak MM, Hernes SS, Chang L, Ernst T, Douet V, Skranes J, Lohaugen GC. The Memory Aid study: protocol for a randomized controlled clinical trial evaluating the effect of computer-based working memory training in elderly patients with mild cognitive impairment (MCI). Trials. 2014 May 3;15:156. doi: 10.1186/1745-6215-15-156. Erratum In: Trials. 2016;17:40. Chang, Linda; Ernst, Thomas; and Douet, Vanessa [Added]. — View Citation

Hol HR, Flak MM, Chang L, Lohaugen GCC, Bjuland KJ, Rimol LM, Engvig A, Skranes J, Ernst T, Madsen BO, Hernes SS. Cortical Thickness Changes After Computerized Working Memory Training in Patients With Mild Cognitive Impairment. Front Aging Neurosci. 2022 Apr 4;14:796110. doi: 10.3389/fnagi.2022.796110. eCollection 2022. — View Citation

Kramer AF, Colcombe S. Fitness Effects on the Cognitive Function of Older Adults: A Meta-Analytic Study-Revisited. Perspect Psychol Sci. 2018 Mar;13(2):213-217. doi: 10.1177/1745691617707316. — View Citation

Kramer AF, Erickson KI. Capitalizing on cortical plasticity: influence of physical activity on cognition and brain function. Trends Cogn Sci. 2007 Aug;11(8):342-8. doi: 10.1016/j.tics.2007.06.009. Epub 2007 Jul 12. — View Citation

Panee J, Gerschenson M, Chang L. Associations Between Microbiota, Mitochondrial Function, and Cognition in Chronic Marijuana Users. J Neuroimmune Pharmacol. 2018 Mar;13(1):113-122. doi: 10.1007/s11481-017-9767-0. Epub 2017 Nov 4. — View Citation

Tomasi D, Caparelli EC, Chang L, Ernst T. fMRI-acoustic noise alters brain activation during working memory tasks. Neuroimage. 2005 Aug 15;27(2):377-86. doi: 10.1016/j.neuroimage.2005.04.010. — View Citation

Tomasi D, Ernst T, Caparelli EC, Chang L. Practice-induced changes of brain function during visual attention: a parametric fMRI study at 4 Tesla. Neuroimage. 2004 Dec;23(4):1414-21. doi: 10.1016/j.neuroimage.2004.07.065. — View Citation

Tyrrell DJ, Bharadwaj MS, Jorgensen MJ, Register TC, Shively C, Andrews RN, Neth B, Keene CD, Mintz A, Craft S, Molina AJA. Blood-Based Bioenergetic Profiling Reflects Differences in Brain Bioenergetics and Metabolism. Oxid Med Cell Longev. 2017;2017:7317251. doi: 10.1155/2017/7317251. Epub 2017 Oct 2. — View Citation

Vidorreta M, Wang Z, Chang YV, Wolk DA, Fernandez-Seara MA, Detre JA. Whole-brain background-suppressed pCASL MRI with 1D-accelerated 3D RARE Stack-Of-Spirals readout. PLoS One. 2017 Aug 24;12(8):e0183762. doi: 10.1371/journal.pone.0183762. eCollection 2017. — View Citation

* Note: There are 18 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Changes in Brain structure measures Changes in brain volume measures from T1-weighted images (volumes in mm3) At baseline and at 4 weeks after the corresponding training program.
Primary Changes in brain cortical thickness measures Changes in brain cortical thickness measures from T1-weighted images (thickness measures in mm) At baseline and at 4 weeks after the corresponding training program.
Primary Changes in Brain microstructure measures Changes in brain measures of diffused tensor imaging (diffusion coefficient in mm²/s) At baseline and at 4 weeks after the corresponding training program.
Primary Changes in Brain blood flow from Arterial spin labeling magnetic resonance imaging (ASL-MRI) in milliliters/100 g/minutes Changes in Brain blood flow from Arterial spin labeling magnetic resonance imaging (ASL-MRI) in milliliters/ 100 g/ minutes At baseline and at 4 weeks after the corresponding training program.
Primary Changes in Brain Activation on functional MRI Changes in functional MRI from blood oxygen level dependence (BOLD) contrast on fMRI (in percentage change) At baseline and at 4 weeks after the corresponding training program.
Primary Changes in cognitive performance, emotions, and motor function based on NIH toolbox Changes in cognitive performance, emotions, and motor function in raw scores measured by the NIH Toolbox® (reports will be generated as T scores, with higher T scores indicating better outcomes) At baseline and at 4 weeks after the corresponding training program.
Primary Changes in executive function using the Behavior Rating Inventory of Executive Function-Adult Version (BRIEF-A) Changes in executive function using the Behavior Rating Inventory of Executive Function-Adult Version (BRIEF-A) (reports will be generated as T scores, with lower T scores indicating better outcomes and T scores higher than 65 indicating significant impairments in the executive function) At baseline and at 4 weeks after the corresponding training program.
Primary Changes in Blood Bioenergetic Markers Platelet mitochondrial respiration (OCR) and extracellular acidification rates (ECAR) will be evaluated to assess bioenergetic profiles in platelets isolated from whole blood of fasted participants. OCR will be measured using a Seahorse model XFe96 machine as the high throughput platform. Measurements of OCR/ECAR will be performed with the following modifications. Platelets will be isolated from whole blood with a Beckman Allegra model X-30R centrifuge.
Platelets will be counted using a Nexcelom Bioscience Cellometer (Lawrence, MA) using Calcein acetoxymethyl (AM) ester dye to enable the seeding of 10,000,000 platelets per well.
At baseline and at 4 weeks after the corresponding training program.
Secondary VO2peak VO2peak will be used as the primary measure of aerobic capacity. Subjects will be asked to exercise to voluntary exhaustion during a treadmill test using a modified Bruce protocol. Oxygen (O2) consumption, carbon dioxide (CO2) production, and minute ventilation will be measured breath-by-breath using a metabolic cart and the average of the final two 20 second values of O2 consumption are VO2peak. At baseline and within one week after the corresponding training program.
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