Resting-state functional magnetic resonance imaging (rsfMRI) is a leading method for the non-invasive characterization of the functional connectivity and resting-state activity of the human brain. In our prior work we have found that rsfMRI measures of connectivity and signal variance can be significantly altered by the subject's vigilance state. Unless these differences in vigilance are taken into account, differences in connectivity strength and signal variance might be interpreted as a disease-related changes. Currently, electroencephalographic (EEG) measures of brain activity are considered the standard approach for the assessment of vigilance. However, their use in rsfMRI studies is limited due to the technical challenges and logistics involved in obtaining simultaneous rsfMRI and EEG measurements. An alternative approach that does not require the acquisition of EEG data would greatly facilitate the assessment of vigilance in a wide range of rsfMRI studies. The goal of this project is to develop and validate an rsfMRI-based measure of vigilance.
The aims of the study are to (1) Develop and optimize rsfMRI-based measures of vigilance levels and fluctuations and (2) Perform a preliminary test of the efficacy of the method in a sample of subjects with schizophrenia.

Public Health Relevance

(Relevance to Public Health) The proposed project will improve our ability to interpret functional connections in the brain using resting-state fMRI. Because the strength of functional connections may be an important indicator of the health of the brain, the proposed methods will benefit the study of a wide range of diseases.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21MH112155-02
Application #
9438567
Study Section
Neuroscience and Ophthalmic Imaging Technologies Study Section (NOIT)
Program Officer
Freund, Michelle
Project Start
2017-03-01
Project End
2019-02-28
Budget Start
2018-03-01
Budget End
2019-02-28
Support Year
2
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of California, San Diego
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Liu, Thomas T; Nalci, Alican; Falahpour, Maryam (2017) The global signal in fMRI: Nuisance or Information? Neuroimage 150:213-229