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| ID | Type | Description | Link |
|---|---|---|---|
| 1R21AT011575-01 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Center for Complementary and Integrative Health (NCCIH) | NIH |
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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.
The investigators will conduct 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. A total of up to 20 subjects will complete the study. Subjects will undergo one PET scan with [11C]UCB-J. Each subject will also undergo one MRI scan for anatomical identification of brain regions.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Meditators | 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. |
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| Non-meditating controls | Active Comparator | 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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Radiotracer | Drug | A novel SV2A imaging tracer which is used in conjunction with positron emission tomography scans. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Binding Potential Using Synaptic Density | 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. | Up to 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| Evaluating the Correlation Between Data Collected From Meditation Questionnaires and Synaptic Vesicle Glycoprotein 2 (SV2A) Binding | 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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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| David Matuskey, MD | Yale University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Yale University PET Center | New Haven | Connecticut | 06519 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 26848175 | Background | 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. | |
| 25783612 | Background | 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. |
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| ID | Title | Description |
|---|---|---|
| FG000 | 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. Radiotracer: A novel SV2A imaging tracer which is used in conjunction with positron emission tomography scans. |
| FG001 | 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. Radiotracer: A novel SV2A imaging tracer which is used in conjunction with positron emission tomography scans. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
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| ID | Title | Description |
|---|---|---|
| BG000 | 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. Radiotracer: A novel SV2A imaging tracer which is used in conjunction with positron emission tomography scans. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Mean |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Binding Potential Using Synaptic Density | 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. | Posted | Mean | Standard Deviation | binding potential | Up to 6 months |
|
1 year
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | 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. Radiotracer: A novel SV2A imaging tracer which is used in conjunction with positron emission tomography scans. |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| David Matuskey | Yale University | (203) 737-6316 | david.matuskey@yale.edu |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | May 31, 2024 | Mar 27, 2025 | Prot_SAP_000.pdf |
| ICF | No | No | Yes | Informed Consent Form | Jun 30, 2023 | Mar 27, 2025 | ICF_001.pdf |
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| ID | Term |
|---|---|
| D015438 | Health Behavior |
| ID | Term |
|---|---|
| D001519 | Behavior |
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| ID | Term |
|---|---|
| C000618323 | 1-((3-(methylpyridin-4-yl)methyl)-4-(3,4,5-trifluorophenyl)pyrrolidin-2-one |
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|
| Up to 3 months |
| 17764203 | Background | 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. |
| 25071887 | Background | 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. |
| 26952819 | Background | 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. |
| 22805898 | Background | 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. |
| 32114450 | Background | 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. |
| 22114193 | Background | 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. |
| 25938726 | Background | 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. |
| 16466680 | Background | 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. |
| 24705269 | Background | 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. |
| 29016274 | Background | 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. |
| 32697315 | Background | 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. |
| 25994551 | Background | 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. |
| 12202093 | Background | 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. |
| 26754461 | Background | 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. |
| 11958969 | Background | 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. |
| 18310597 | Background | 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. |
| 11970796 | Background | 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. |
| 17940025 | Background | 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. |
| 15771867 | Background | 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. |
| 16272874 | Background | 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. |
| BG001 | 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. Radiotracer: A novel SV2A imaging tracer which is used in conjunction with positron emission tomography scans. |
| BG002 | Total | Total of all reporting groups |
| years |
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| Sex: Female, Male | Count of Participants | Participants |
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| Ethnicity (NIH/OMB) | Count of Participants | Participants |
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| Race (NIH/OMB) | Count of Participants | Participants |
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| Region of Enrollment | Number | participants |
|
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. Radiotracer: A novel SV2A imaging tracer which is used in conjunction with positron emission tomography scans. |
| OG001 | Non-meditating Controls | Subjects will undergo one PET scan with [11C]UCB-J and one MRI scan for anatomical identification of brain regions. |
|
|
| Secondary | Evaluating the Correlation Between Data Collected From Meditation Questionnaires and Synaptic Vesicle Glycoprotein 2 (SV2A) Binding | 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. | Posted | Number | correlation coefficient | Up to 3 months |
|
|
|
| 0 |
| 20 |
| 0 |
| 20 |
| 0 |
| 20 |
| EG001 | 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. Radiotracer: A novel SV2A imaging tracer which is used in conjunction with positron emission tomography scans. | 0 | 20 | 0 | 20 | 0 | 20 |
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