NCT05418608

Brief Summary

To utilize positron emission tomography (PET) imaging to characterize the distribution of (aka \[11C\]APP311at the Yale PET Center) in cortical and subcortical areas in experienced meditators compared to non-meditating controls.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
20

participants targeted

Target at P25-P50 for phase_1

Timeline
Completed

Started Apr 2022

Typical duration for phase_1

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

April 21, 2022

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

June 7, 2022

Completed
7 days until next milestone

First Posted

Study publicly available on registry

June 14, 2022

Completed
1.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 1, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 1, 2024

Completed
Last Updated

July 18, 2024

Status Verified

July 1, 2024

Enrollment Period

1.9 years

First QC Date

June 7, 2022

Last Update Submit

July 16, 2024

Conditions

Keywords

MeditationExperienced meditators

Outcome Measures

Primary Outcomes (1)

  • Analyzing positron emission tomography images in conjunction with magnetic resonance data

    Imaging data will be analyzed by using kinetic modeling approaches; these are used 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 (Anatomical Automatic Labeling (AAL) for SPM2) 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.

    Up to two years

Secondary Outcomes (1)

  • Evaluating the correlation between data collected from meditation questionnaires and synaptic vesicle glycoprotein 2 (SV2A) binding

    Up to two years

Study Arms (1)

Aim 1

EXPERIMENTAL

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.

Drug: Radiotracer

Interventions

A novel SV2A imaging tracer which is used in conjunction with positron emission tomography scans.

Also known as: [11C]APP311, [11C]UCB-J
Aim 1

Eligibility Criteria

Age28 Years - 70 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • 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.

You may not qualify if:

  • 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).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Yale University PET Center

New Haven, Connecticut, 06519, United States

Location

Related Publications (22)

  • 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.

    PMID: 26848175BACKGROUND
  • 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.

    PMID: 25783612BACKGROUND
  • 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.

    PMID: 17764203BACKGROUND
  • 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.

    PMID: 25071887BACKGROUND
  • 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.

    PMID: 26952819BACKGROUND
  • 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.

    PMID: 22805898BACKGROUND
  • 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.

    PMID: 32114450BACKGROUND
  • 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.

    PMID: 22114193BACKGROUND
  • 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.

    PMID: 25938726BACKGROUND
  • 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.

    PMID: 16466680BACKGROUND
  • 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.

    PMID: 24705269BACKGROUND
  • 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.

    PMID: 29016274BACKGROUND
  • 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.

    PMID: 32697315BACKGROUND
  • 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.

    PMID: 25994551BACKGROUND
  • 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.

    PMID: 12202093BACKGROUND
  • 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.

    PMID: 26754461BACKGROUND
  • 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.

    PMID: 11958969BACKGROUND
  • 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.

    PMID: 18310597BACKGROUND
  • 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.

    PMID: 11970796BACKGROUND
  • 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.

    PMID: 17940025BACKGROUND
  • 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.

    PMID: 15771867BACKGROUND
  • 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.

    PMID: 16272874BACKGROUND

MeSH Terms

Conditions

Health Behavior

Interventions

1-((3-(methylpyridin-4-yl)methyl)-4-(3,4,5-trifluorophenyl)pyrrolidin-2-one

Condition Hierarchy (Ancestors)

Behavior

Study Officials

  • David Matuskey, MD

    Yale University

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
phase 1
Allocation
NA
Masking
NONE
Purpose
BASIC SCIENCE
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

June 7, 2022

First Posted

June 14, 2022

Study Start

April 21, 2022

Primary Completion

April 1, 2024

Study Completion

April 1, 2024

Last Updated

July 18, 2024

Record last verified: 2024-07

Data Sharing

IPD Sharing
Will share

Locations