- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05948930
Working Memory and Physical Exercise Training in Patients With Mild Cognitive Impairment
Adaptive Working Memory and Physical Exercise Training to Improve Brain and Mitochondrial Function in MCI
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Linda Chang, M.D., M.S.
- Phone Number: 410 706 1036
- Email: LChang@som.umaryland.edu
Study Locations
-
-
Maryland
-
Baltimore, Maryland, United States, 21201
- Recruiting
- University of Maryland Baltimore
-
Contact:
- Huajun Liang, MBBS, PhD
- Phone Number: 410-706-1031
- Email: huajun.liang@som.umaryland.edu
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
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) for Progressive aerobic exercise or Combined training
- Ability to use, and accessibility to, an iPad or computer is required for the Adaptive cognitive training and Combined training.
- 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, uncontrolled diabetes (HbA1c>10%), 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 Plan
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Aerobic Exercise
Progressive aerobic exercise 3x/week for 12 weeks.
|
Progressive aerobic exercise
|
|
Experimental: Cognitive Training
Adaptive cognitive training on Cogmed 5x/week for a total of 25 sessions in 5-8 weeks.
|
Adaptive cognitive training
|
|
Experimental: Combined Cognitive and Aerobic Exercise
Combined progressive aerobic exercise 3x/week for 12 weeks and adaptive cognitive training on Cogmed 5x/week for a total of 25 sessions in 5-8 weeks simultaneously.
|
Combine adaptive cognitive and progressive aerobic exercise training
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Changes in Brain structure measures
Time Frame: At baseline and at 4 weeks after the corresponding training program.
|
Changes in brain volume measures from T1-weighted images (volumes in mm3)
|
At baseline and at 4 weeks after the corresponding training program.
|
|
Changes in brain cortical thickness measures
Time Frame: At baseline and at 4 weeks after the corresponding training program.
|
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.
|
|
Changes in Brain microstructure measures
Time Frame: At baseline and at 4 weeks after the corresponding training program.
|
Changes in brain measures of diffused tensor imaging (diffusion coefficient in mm²/s)
|
At baseline and at 4 weeks after the corresponding training program.
|
|
Changes in Brain blood flow from Arterial spin labeling magnetic resonance imaging (ASL-MRI) in milliliters/100 g/minutes
Time Frame: At baseline and at 4 weeks after the corresponding training program.
|
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.
|
|
Changes in Brain Activation on functional MRI
Time Frame: At baseline and at 4 weeks after the corresponding training program.
|
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.
|
|
Changes in cognitive performance, emotions, and motor function based on NIH toolbox
Time Frame: At baseline and at 4 weeks after the corresponding training program.
|
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.
|
|
Changes in executive function using the Behavior Rating Inventory of Executive Function-Adult Version (BRIEF-A)
Time Frame: At baseline and at 4 weeks after the corresponding training program.
|
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.
|
|
Changes in Blood Bioenergetic Markers
Time Frame: At baseline and at 4 weeks after the corresponding training program.
|
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 Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
VO2peak
Time Frame: At baseline and within one week after the corresponding training program.
|
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.
|
Collaborators and Investigators
Publications and helpful links
General Publications
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- HP-00105789
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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