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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT02832921
Other study ID # SHEBA-16-2988-MSB-CTIL
Secondary ID
Status Recruiting
Phase N/A
First received June 26, 2016
Last updated January 24, 2018
Start date July 2016
Est. completion date August 2019

Study information

Verified date January 2018
Source Sheba Medical Center
Contact Glen M Doniger, PhD
Email Glen.Doniger@sheba.health.gov.il
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The primary objective of this program is to apply a virtual reality (VR) cognitive-motor intervention (compared to active and passive control groups) to delay or slow cognitive decline of middle-aged adults who have a family history of Alzheimer's disease (AD) and thus are at particularly high risk of developing the disease.


Recruitment information / eligibility

Status Recruiting
Enrollment 200
Est. completion date August 2019
Est. primary completion date July 2019
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 40 Years to 65 Years
Eligibility Inclusion Criteria:

- The participants of the study must have at least one parent with Alzheimer's disease.

- Fluency in Hebrew, in order to understand the instructions of the cognitive tests.

- Availability of an informant for the participant.

Exclusion Criteria:

- Severe neurological or psychological conditions that may affect cognitive performance.

- Substantial orthopedic limitations which prevent the use of treadmill.

- Unstable medical condition such as an active cancer.

- Incapability of adherence to the training program.

- The participant is undergoing a treatment that may interfere with the study program.

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
cognitive training by virtual reality

watching a scientific TV documentary

Device:
treadmill
VR cognitive training will be augmented by walking on a treadmill, since it is well established that dual tasking—i.e. performing the VR-based cognitive effort together with a motor task, even as simple as walking on a treadmill—places greater demand on cognitive resources than a "single task".

Locations

Country Name City State
Israel Sheba Medical Center Ramat Gan

Sponsors (1)

Lead Sponsor Collaborator
Sheba Medical Center

Country where clinical trial is conducted

Israel, 

References & Publications (19)

Bauckneht M, Picco A, Nobili F, Morbelli S. Amyloid positron emission tomography and cognitive reserve. World J Radiol. 2015 Dec 28;7(12):475-83. doi: 10.4329/wjr.v7.i12.475. Review. — View Citation

Beeri MS, Ravona-Springer R, Moshier E, Schmeidler J, Godbold J, Karpati T, Leroith D, Koifman K, Kravitz E, Price R, Hoffman H, Silverman JM, Heymann A. The Israel Diabetes and Cognitive Decline (IDCD) study: Design and baseline characteristics. Alzheimers Dement. 2014 Nov;10(6):769-78. doi: 10.1016/j.jalz.2014.06.002. Epub 2014 Aug 20. — View Citation

Birdsill AC, Carlsson CM, Willette AA, Okonkwo OC, Johnson SC, Xu G, Oh JM, Gallagher CL, Koscik RL, Jonaitis EM, Hermann BP, LaRue A, Rowley HA, Asthana S, Sager MA, Bendlin BB. Low cerebral blood flow is associated with lower memory function in metabolic syndrome. Obesity (Silver Spring). 2013 Jul;21(7):1313-20. doi: 10.1002/oby.20170. Epub 2013 May 19. — View Citation

Esiri MM, Chance SA. Cognitive reserve, cortical plasticity and resistance to Alzheimer's disease. Alzheimers Res Ther. 2012 Mar 1;4(2):7. doi: 10.1186/alzrt105. — View Citation

Gaitán A, Garolera M, Cerulla N, Chico G, Rodriguez-Querol M, Canela-Soler J. Efficacy of an adjunctive computer-based cognitive training program in amnestic mild cognitive impairment and Alzheimer's disease: a single-blind, randomized clinical trial. Int J Geriatr Psychiatry. 2013 Jan;28(1):91-9. doi: 10.1002/gps.3794. Epub 2012 Apr 3. — View Citation

Garthe A, Roeder I, Kempermann G. Mice in an enriched environment learn more flexibly because of adult hippocampal neurogenesis. Hippocampus. 2016 Feb;26(2):261-71. doi: 10.1002/hipo.22520. Epub 2015 Sep 15. — View Citation

Gates NJ, Valenzuela M, Sachdev PS, Singh NA, Baune BT, Brodaty H, Suo C, Jain N, Wilson GC, Wang Y, Baker MK, Williamson D, Foroughi N, Fiatarone Singh MA. Study of Mental Activity and Regular Training (SMART) in at risk individuals: a randomised double blind, sham controlled, longitudinal trial. BMC Geriatr. 2011 Apr 21;11:19. doi: 10.1186/1471-2318-11-19. — View Citation

Gommer ED, Martens EG, Aalten P, Shijaku E, Verhey FR, Mess WH, Ramakers IH, Reulen JP. Dynamic cerebral autoregulation in subjects with Alzheimer's disease, mild cognitive impairment, and controls: evidence for increased peripheral vascular resistance with possible predictive value. J Alzheimers Dis. 2012;30(4):805-13. doi: 10.3233/JAD-2012-111628. — View Citation

Gould E, Reeves AJ, Fallah M, Tanapat P, Gross CG, Fuchs E. Hippocampal neurogenesis in adult Old World primates. Proc Natl Acad Sci U S A. 1999 Apr 27;96(9):5263-7. — View Citation

Gould E, Reeves AJ, Graziano MS, Gross CG. Neurogenesis in the neocortex of adult primates. Science. 1999 Oct 15;286(5439):548-52. — View Citation

Hausdorff JM, Schweiger A, Herman T, Yogev-Seligmann G, Giladi N. Dual-task decrements in gait: contributing factors among healthy older adults. J Gerontol A Biol Sci Med Sci. 2008 Dec;63(12):1335-43. — View Citation

Lazarov O, Robinson J, Tang YP, Hairston IS, Korade-Mirnics Z, Lee VM, Hersh LB, Sapolsky RM, Mirnics K, Sisodia SS. Environmental enrichment reduces Abeta levels and amyloid deposition in transgenic mice. Cell. 2005 Mar 11;120(5):701-13. — View Citation

Man DW, Chung JC, Lee GY. Evaluation of a virtual reality-based memory training programme for Hong Kong Chinese older adults with questionable dementia: a pilot study. Int J Geriatr Psychiatry. 2012 May;27(5):513-20. doi: 10.1002/gps.2746. Epub 2011 Jun 17. — View Citation

Optale G, Urgesi C, Busato V, Marin S, Piron L, Priftis K, Gamberini L, Capodieci S, Bordin A. Controlling memory impairment in elderly adults using virtual reality memory training: a randomized controlled pilot study. Neurorehabil Neural Repair. 2010 May;24(4):348-57. doi: 10.1177/1545968309353328. Epub 2009 Nov 24. — View Citation

Rebok GW, Ball K, Guey LT, Jones RN, Kim HY, King JW, Marsiske M, Morris JN, Tennstedt SL, Unverzagt FW, Willis SL; ACTIVE Study Group. Ten-year effects of the advanced cognitive training for independent and vital elderly cognitive training trial on cognition and everyday functioning in older adults. J Am Geriatr Soc. 2014 Jan;62(1):16-24. doi: 10.1111/jgs.12607. Epub 2014 Jan 13. — View Citation

Stern Y. Cognitive reserve in ageing and Alzheimer's disease. Lancet Neurol. 2012 Nov;11(11):1006-12. doi: 10.1016/S1474-4422(12)70191-6. Review. — View Citation

Tárraga L, Boada M, Modinos G, Espinosa A, Diego S, Morera A, Guitart M, Balcells J, López OL, Becker JT. A randomised pilot study to assess the efficacy of an interactive, multimedia tool of cognitive stimulation in Alzheimer's disease. J Neurol Neurosurg Psychiatry. 2006 Oct;77(10):1116-21. Epub 2006 Jul 4. — View Citation

Van der Mussele S, Fransen E, Struyfs H, Luyckx J, Mariën P, Saerens J, Somers N, Goeman J, De Deyn PP, Engelborghs S. Depression in mild cognitive impairment is associated with progression to Alzheimer's disease: a longitudinal study. J Alzheimers Dis. 2014;42(4):1239-50. doi: 10.3233/JAD-140405. — View Citation

Villemagne VL, Burnham S, Bourgeat P, Brown B, Ellis KA, Salvado O, Szoeke C, Macaulay SL, Martins R, Maruff P, Ames D, Rowe CC, Masters CL; Australian Imaging Biomarkers and Lifestyle (AIBL) Research Group. Amyloid ß deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study. Lancet Neurol. 2013 Apr;12(4):357-67. doi: 10.1016/S1474-4422(13)70044-9. Epub 2013 Mar 8. — View Citation

* Note: There are 19 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary change in overall cognition- measured by averaging z-scores from 14 paper and pencil neuropsychological tests covering episodic memory and executive functions cognitive domains. summary of the z-scores of all 14 paper and pencil cognitive tests baseline, immediately after 12-week training, and 3 months post-training (or corresponding time points in passive control group)
Primary change in cerebral blood flow from arterial spin labeling (ASL) acquired by structural MRI using background-suppressed pseudo-continuous ASL (pcASL) featuring a 3D fast spin echo spiral sequence baseline, immediately after 12-week training, and 3 months post-training (or corresponding time points in passive control group)
Secondary specific cognitive domains- average of z-scores of paper and pencil memory tests and of executive functions tests summary of z-scores of executive functions tests and of episodic memory tests baseline, immediately after 12-week training, and 3 months post-training (or corresponding time points in passive control group)
Secondary blood oxygenation level dependent (BOLD) functional MRI (fMRI) signal in the fronto-parietal network associated with working memory T2*-weighted fMRI during an n-back working memory task; contrasts: 1-back minus 0-back; 2-back minus 0-back; 2-back minus 1-back baseline, immediately after 12-week training, and 3 months post-training (or corresponding time points in passive control group)
Secondary brain resting state functional connectivity by resting state network fMRI BOLD signal correlations T2*-weighted fMRI while relaxing with eyes closed; functional connectivity between seed regions of resting state networks (e.g., default mode, attentional, salience) and other regions by correlation of BOLD signal in seed regions with that in other regions baseline, immediately after 12-week training, and 3 months post-training (or corresponding time points in passive control group)
Secondary hippocampal volume 3D T1-weighted MRI imaging baseline, immediately after 12-week training, and 3 months post-training (or corresponding time points in passive control group)
Secondary frontal inferior cortex volume 3D T1-weighted MRI imaging baseline, immediately after 12-week training, and 3 months post-training (or corresponding time points in passive control group)
Secondary white matter hyperintensity (WMH) burden 3D T2-FLAIR MRI imaging baseline, immediately after 12-week training, and 3 months post-training (or corresponding time points in passive control group)
Secondary diffusion-tensor imaging (DTI) measures diffusion-weighted MRI imaging (DWI) to map white matter tractography baseline, immediately after 12-week training, and 3 months post-training (or corresponding time points in passive control group)
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