Novel in Vivo Synaptic Imaging in Experienced Meditators (app311_med)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Phase 1
Contacts and Locations
Study Contact
Study Contact
- Name: Jason M Gold
- Phone Number: 2037377496
- Email: jason.gold@yale.edu
Study Locations
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Connecticut
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New Haven, Connecticut, United States, 06519
- Yale University PET Center
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Age 28-70 years
- Voluntary, written, informed consent
- Physically healthy by medical history, physical, ECG and laboratory examinations
- At least 10 years and 5,000 hours of regular meditation practice
- For females, non-lactating, no longer of child-bearing potential or agree to practice effective contraception during the study, as well as a negative serum pregnancy (β-HCG) test at screening, and negative urine pregnancy on PET scanning days.
Exclusion Criteria:
- A history of significant psychiatric, medical (e.g., cardiovascular, renal) or neurological (e.g., cerebrovascular, seizure, traumatic brain injury) illness that is unstable and/or might affect the study objectives.
- Current or history of substance dependence (e.g., alcohol, nicotine, opiates, sedative hypnotics, etc.)
- Subjects with history of prior radiation exposure for research purposes within the past year such that participation in this study would place them over FDA limits for annual radiation exposure. This guideline is an effective dose of 5 rem received per year.
- Subjects with current, past or anticipated exposure to radiation in the work place within one year of proposed research PET scans that in combination with the study tracer would result in a cumulative exposure that exceeds recommended exposure limits.
- Medical contraindications to participation in a magnetic resonance imaging procedure (e.g., ferromagnetic implants/foreign bodies, claustrophobia, cardiac pacemaker, prosthetic valve, otologic implant, etc.)
- History of a bleeding disorder or are currently taking anticoagulants (such as Coumadin, Heparin, Pradaxa, Xarelto).
- Medications that effect SV2A binding (e.g., levetiracetam).
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
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Experimental: Meditators
A PET study of the novel SV2A imaging tracer [11C]UCB-J in participants, to characterize the distribution of [11C]UCB-J in cortical and subcortical areas in experienced meditators compared to non-meditating controls.
Subjects will undergo one PET scan with [11C]UCB-J and one MRI scan for anatomical identification of brain regions.
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A novel SV2A imaging tracer which is used in conjunction with positron emission tomography scans.
Other Names:
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Active Comparator: Non-meditating controls
Meditators compared to non-meditating controls.
Subjects will undergo one PET scan with [11C]UCB-J and one MRI scan for anatomical identification of brain regions.
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A novel SV2A imaging tracer which is used in conjunction with positron emission tomography scans.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Binding Potential Using Synaptic Density
Time Frame: Up to 6 months
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Imaging data was analyzed using kinetic modeling approaches to quantitate total tracer binding, volume of distribution, and binding potential, specifically voxel-by-voxel compartment model fitting with the arterial input function.
Positron emission tomography (PET) images will be registered to the subject's T1-weighted magnetic resonance (MR) images, and then registered to an magnetic resonance template.
Gray matter regions of interest are determined by combining a predefined set of regions, defined on the template (FreeSurfer) with the gray matter segmentation mask (FAST algorithm in FSL).
This process will permit direct, automatic determination of outcome values.
Partial volume correction will also be applied to account for atrophy.
Magnetic resonance (MR) image analyses will be done by standardized methods.
Values reported for each region represent the binding potential.
Binding potential is a unitless measure.
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Up to 6 months
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Evaluating the Correlation Between Data Collected From Meditation Questionnaires and Synaptic Vesicle Glycoprotein 2 (SV2A) Binding
Time Frame: Up to 3 months
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Meditation assessments collected from participants, containing mindfulness and attention measures, will be correlated with synaptic vesicle glycoprotein 2 (SV2A) binding data, collected during a positron emission tomography scan in the Anterior Cingulate Cortex.
Data presented here is the correlation between Meditation years to SV2A availability.
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Up to 3 months
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: David Matuskey, MD, Yale University
Publications and helpful links
General Publications
- Fan J, McCandliss BD, Sommer T, Raz A, Posner MI. Testing the efficiency and independence of attentional networks. J Cogn Neurosci. 2002 Apr 1;14(3):340-7. doi: 10.1162/089892902317361886.
- Nabulsi NB, Mercier J, Holden D, Carre S, Najafzadeh S, Vandergeten MC, Lin SF, Deo A, Price N, Wood M, Lara-Jaime T, Montel F, Laruelle M, Carson RE, Hannestad J, Huang Y. Synthesis and Preclinical Evaluation of 11C-UCB-J as a PET Tracer for Imaging the Synaptic Vesicle Glycoprotein 2A in the Brain. J Nucl Med. 2016 May;57(5):777-84. doi: 10.2967/jnumed.115.168179. Epub 2016 Feb 4.
- Tang YY, Holzel BK, Posner MI. The neuroscience of mindfulness meditation. Nat Rev Neurosci. 2015 Apr;16(4):213-25. doi: 10.1038/nrn3916. Epub 2015 Mar 18.
- Ospina MB, Bond K, Karkhaneh M, Tjosvold L, Vandermeer B, Liang Y, Bialy L, Hooton N, Buscemi N, Dryden DM, Klassen TP. Meditation practices for health: state of the research. Evid Rep Technol Assess (Full Rep). 2007 Jun;(155):1-263.
- Marchand WR. Neural mechanisms of mindfulness and meditation: Evidence from neuroimaging studies. World J Radiol. 2014 Jul 28;6(7):471-9. doi: 10.4329/wjr.v6.i7.471.
- Ivanovski B, Malhi GS. The psychological and neurophysiological concomitants of mindfulness forms of meditation. Acta Neuropsychiatr. 2007 Apr;19(2):76-91. doi: 10.1111/j.1601-5215.2007.00175.x.
- Marchand WR. Mindfulness-based stress reduction, mindfulness-based cognitive therapy, and Zen meditation for depression, anxiety, pain, and psychological distress. J Psychiatr Pract. 2012 Jul;18(4):233-52. doi: 10.1097/01.pra.0000416014.53215.86.
- Afonso RF, Kraft I, Aratanha MA, Kozasa EH. Neural correlates of meditation: a review of structural and functional MRI studies. Front Biosci (Schol Ed). 2020 Mar 1;12(1):92-115. doi: 10.2741/S542.
- Brewer JA, Worhunsky PD, Gray JR, Tang YY, Weber J, Kober H. Meditation experience is associated with differences in default mode network activity and connectivity. Proc Natl Acad Sci U S A. 2011 Dec 13;108(50):20254-9. doi: 10.1073/pnas.1112029108. Epub 2011 Nov 23.
- Raichle ME. The brain's default mode network. Annu Rev Neurosci. 2015 Jul 8;38:433-47. doi: 10.1146/annurev-neuro-071013-014030. Epub 2015 May 4.
- Northoff G, Heinzel A, de Greck M, Bermpohl F, Dobrowolny H, Panksepp J. Self-referential processing in our brain--a meta-analysis of imaging studies on the self. Neuroimage. 2006 May 15;31(1):440-57. doi: 10.1016/j.neuroimage.2005.12.002. Epub 2006 Feb 7.
- Fox KC, Nijeboer S, Dixon ML, Floman JL, Ellamil M, Rumak SP, Sedlmeier P, Christoff K. Is meditation associated with altered brain structure? A systematic review and meta-analysis of morphometric neuroimaging in meditation practitioners. Neurosci Biobehav Rev. 2014 Jun;43:48-73. doi: 10.1016/j.neubiorev.2014.03.016. Epub 2014 Apr 3.
- Weinberger DR, Radulescu E. Structural Magnetic Resonance Imaging All Over Again. JAMA Psychiatry. 2021 Jan 1;78(1):11-12. doi: 10.1001/jamapsychiatry.2020.1941. No abstract available.
- Boubela RN, Kalcher K, Huf W, Seidel EM, Derntl B, Pezawas L, Nasel C, Moser E. fMRI measurements of amygdala activation are confounded by stimulus correlated signal fluctuation in nearby veins draining distant brain regions. Sci Rep. 2015 May 21;5:10499. doi: 10.1038/srep10499.
- Turner R. How much cortex can a vein drain? Downstream dilution of activation-related cerebral blood oxygenation changes. Neuroimage. 2002 Aug;16(4):1062-7. doi: 10.1006/nimg.2002.1082.
- Greene DJ, Black KJ, Schlaggar BL. Considerations for MRI study design and implementation in pediatric and clinical populations. Dev Cogn Neurosci. 2016 Apr;18:101-112. doi: 10.1016/j.dcn.2015.12.005. Epub 2015 Dec 17.
- Kjaer TW, Bertelsen C, Piccini P, Brooks D, Alving J, Lou HC. Increased dopamine tone during meditation-induced change of consciousness. Brain Res Cogn Brain Res. 2002 Apr;13(2):255-9. doi: 10.1016/s0926-6410(01)00106-9.
- Baer RA, Smith GT, Lykins E, Button D, Krietemeyer J, Sauer S, Walsh E, Duggan D, Williams JM. Construct validity of the five facet mindfulness questionnaire in meditating and nonmeditating samples. Assessment. 2008 Sep;15(3):329-42. doi: 10.1177/1073191107313003. Epub 2008 Feb 29.
- Tang YY, Ma Y, Wang J, Fan Y, Feng S, Lu Q, Yu Q, Sui D, Rothbart MK, Fan M, Posner MI. Short-term meditation training improves attention and self-regulation. Proc Natl Acad Sci U S A. 2007 Oct 23;104(43):17152-6. doi: 10.1073/pnas.0707678104. Epub 2007 Oct 11.
- Carlson LE, Brown KW. Validation of the Mindful Attention Awareness Scale in a cancer population. J Psychosom Res. 2005 Jan;58(1):29-33. doi: 10.1016/j.jpsychores.2004.04.366.
- Lazar SW, Kerr CE, Wasserman RH, Gray JR, Greve DN, Treadway MT, McGarvey M, Quinn BT, Dusek JA, Benson H, Rauch SL, Moore CI, Fischl B. Meditation experience is associated with increased cortical thickness. Neuroreport. 2005 Nov 28;16(17):1893-7. doi: 10.1097/01.wnr.0000186598.66243.19.
- Van Dam NT, van Vugt MK, Vago DR, Schmalzl L, Saron CD, Olendzki A, Meissner T, Lazar SW, Kerr CE, Gorchov J, Fox KCR, Field BA, Britton WB, Brefczynski-Lewis JA, Meyer DE. Mind the Hype: A Critical Evaluation and Prescriptive Agenda for Research on Mindfulness and Meditation. Perspect Psychol Sci. 2018 Jan;13(1):36-61. doi: 10.1177/1745691617709589. Epub 2017 Oct 10.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2000030601
- 1R21AT011575-01 (U.S. NIH Grant/Contract)
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.
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