Although measurement of both brain structure and function are critically important for linking brain structure and function, these measurements do not appropriately address the important aspect of brain neurotransmission. So far, attempts to map the brain's neurotransmitter systems have largely been limited to histochemical, mRNA-expression or radioligand analyses in rodents and postmortem human brain samples. With the emerging in vivo molecular imaging technologies, in particular positron emission tomography (PET), it has now become possible to image in vivo human brain receptors and transporters from various neurotransmitter systems, at least to the extent that well-validated quantifiable specific PET radiotracers are available. Missing from this approach is the ability to combine PET analysis with cutting edge anatomical and functional analysis to exhaustively characterize receptor binding in terms of its interaction with structure and function. This proposal seeks to combine the analysis tools in FreeSurfer (surfer.nmr.mgh.harvard.edu) created at the Martinos Center in Boston with PET analysis to create atlases of the bind potential of both 5HTT and 5HT4 serotonin receptors. The data to be used comes from the Denmark-based Center for Integrated Molecular Brain Imaging (www.cimbi.org). We will analyze 47 subjects that have both 5HTT and 5HT4 data allowing study of the covariance of these receptors in individuals for the first time. A technique is also proposed to segment the dorsal raphe nucleus from 5-HTT and MRI scans. The functional connectivity of the raphe nucleus will also be studied using this segmentation and resting-state fMRI. We will also create an anatomical probabilistic atlas of the raphe nucleus which can be used to segment raphe in subjects with MRI scans but not PET scans.

Public Health Relevance

This study will help characterize the role of serotonin in the brain. Serotonin plays a key role in many neuropsychiatric disorders including depression, anxiety, post-traumatic stress disorder, eating disorders, and sleep disruption.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21EB018964-02
Application #
8894504
Study Section
Special Emphasis Panel (NOIT)
Program Officer
Pai, Vinay Manjunath
Project Start
2014-08-01
Project End
2016-07-31
Budget Start
2015-08-01
Budget End
2016-07-31
Support Year
2
Fiscal Year
2015
Total Cost
$182,580
Indirect Cost
$49,580
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02114
Greve, Douglas N; Fischl, Bruce (2018) False positive rates in surface-based anatomical analysis. Neuroimage 171:6-14
Nørgaard, Martin; Ganz, Melanie; Svarer, Claus et al. (2017) Brain Networks Implicated in Seasonal Affective Disorder: A Neuroimaging PET Study of the Serotonin Transporter. Front Neurosci 11:614
Beliveau, Vincent; Ganz, Melanie; Feng, Ling et al. (2017) A High-Resolution In Vivo Atlas of the Human Brain's Serotonin System. J Neurosci 37:120-128
Ganz, Melanie; Feng, Ling; Hansen, Hanne Demant et al. (2017) Cerebellar heterogeneity and its impact on PET data quantification of 5-HT receptor radioligands. J Cereb Blood Flow Metab 37:3243-3252
Roffman, Joshua L; Tanner, Alexandra S; Eryilmaz, Hamdi et al. (2016) Dopamine D1 signaling organizes network dynamics underlying working memory. Sci Adv 2:e1501672
Greve, Douglas N; Salat, David H; Bowen, Spencer L et al. (2016) Different partial volume correction methods lead to different conclusions: An (18)F-FDG-PET study of aging. Neuroimage 132:334-343
Beliveau, Vincent; Svarer, Claus; Frokjaer, Vibe G et al. (2015) Functional connectivity of the dorsal and median raphe nuclei at rest. Neuroimage 116:187-95
Greve, Douglas N; Svarer, Claus; Fisher, Patrick M et al. (2014) Cortical surface-based analysis reduces bias and variance in kinetic modeling of brain PET data. Neuroimage 92:225-36