The default network (DN) is a distributed pattern of brain regions associated with spontaneous cognition, internalized thought and emotional regulation that are consistently deactivated during the performance of goal- driven cognitive tasks. Failure to appropriately activate or deactivate the DN during performing of cognitive tasks is increasingly being implicated in psychiatric illness, with little specificity regarding disorderor attention to symptom domain. Further challenges arise from limitations of task-based and resting state functional MRI imaging approaches that have left the field with little insight into te nature of DN dysregulation (i.e. inability to modulate DN activity as opposed to the tendency to do so) in the various disorders. Consistent with the Research Domain Criteria Project (R-DoC), the proposed work capitalizes on recent innovations in real-time fMRI (RT-fMRI) based neurofeedback to provide a dimensional profile of DN regulation that can be linked to cognitive and psychiatric phenotyping profiles, as well as underlying brain architecture. Specifically, we propose a multi-faceted imaging study that characterizes DN regulation using a combination of neurofeedback RT-fMRI, to assess an individual's ability to modulate the DN, and task-based fMRI activation and deactivation (i.e., the self-referential processing task and the multi-source interference, respectively) to assess an individuals tendency to modulate the DN. Consistent with the "agnostic" approach promoted by R- DoC, we focus on a community-ascertained sample of 180 adults (ages: 25-40 years old), using minimally restrictive psychiatric exclusion criteria. The comprehensive phenotyping protocol established by the Nathan Kline Institute Rockland Sample (NKI-RS) will be used to characterize a range of psychiatric and cognitive domains. Successful completion of the proposed work will serve to: 1) Establish the relationship between DN modulation capacity as measured by RT-fMRI and DN modulation tendency as measured by task-related DN activation and deactivations, 2) link multidimensional imaging-based DN modulation and phenotypic profiles, and 3) link multidimensional DN modulation profiles to the brain's functional and structural architecture, as assessed by resting state fMRI and diffusion tensor imaging.

Public Health Relevance

The default network is commonly implicated in spontaneous cognition, memory and mind---wandering. In recent years, default network dysregulation has been implicated in a broad array of psychiatric illnesses, though it is not clear to what extend these findings reflect an inability to modulate the network as opposed to an ability to do so. The proposed work presents a novel neurofeedback---based functional MRI approach to probing this network and providing a more in depth characterization of its properties. Additionally, the work will more directly parse the relationship between default network dysregulation and psychiatric symptomatology.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH101555-02
Application #
8705608
Study Section
Special Emphasis Panel (ZMH1-ERB-L (04))
Program Officer
Morris, Sarah E
Project Start
2013-07-23
Project End
2017-05-31
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
2
Fiscal Year
2014
Total Cost
$623,627
Indirect Cost
$234,296
Name
Nathan Kline Institute for Psychiatric Research
Department
Type
DUNS #
167204762
City
Orangeburg
State
NY
Country
United States
Zip Code
10962