PowerPoint Presentation

DisclosuresI have no relevant financial relationships or off-label usages.

Using RealTimefMRI Based Neurofeedback To Probe Default Network Regulation

R. Cameron Craddock, PhDDirector of Imaging, Child Mind InstituteDirector, Computational Neuroimaging Lab, Nathan Kline Institute

October 29, 2015

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Default Network

Task based deactivationBuckner et al. Ann. N.Y. Acad. Sci. 1124: 1-38 (2008).

Default Network Connectivity

Greicius et. al. 2007 Biol. Psychiatry

DN Dysregulation

Sheline et. al. 2009 PNAS

ICN Competition

Fox MD PNAS 2005

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RT Neurofeedback of DMNTest hypothesis of DMN dysregulation in depression, ADHD, aging, etc

Exp. Design

Class Training Labels

Training run

Time-LabeledScans

Image Recon and SVM Classification

Image Data

Data AcquisitionStimulus Presentation

StimulusConventional FMRI

Test Data Classifier OutputTesting Run

Real-Time Tracking RSNsLaConte, et al. (2007) Hum Brain Mapp. 28: 1033-1044Stephen LaConte August 19, 2009

Stimulus seen by volunteerUpdated fMRI resultsMotion tracking and correctionIntensity (brightness) of a single voxel, changing during stimulus conditionsController interface for display parameters

DMN Modulation Task

Modulating the DMN

Subject Performance (all subjects)No significant difference in scan order or fb vs. no fb in performance (DMN correlation with model)

fMRI Univariate Results (Focus > Wander)

Feedback OnFeedback Off

FeedbackNo FeedbackCorrelating Task Performance with Focus versus Wander fMRI Betas(All fMRI results are p noFB AI FC

Subject FB Performance correlates with RRS-Reflection ScoresDEM1-AgeDEM2-SexWhen running with the No Feedback condition results become non-significant p>0.05

RRS-Reflection scores correlate with Feedback activations

Difference between FB Conditions in AI correlates with AIM Affectivity MeasuresPositive Affectivity (z = -3.337)Negative Affectivity (z=2.394)

No significance if just looking at noFB and only slightly significant (p=0.035) for Pos Affectivity for FB only. Significance is in the difference between conditions

RT fMRI Neurofeedback for Children

RT-fMRI Motion Training

All data is currently being shared through INDIhttp://fcon_1000.projects.nitrc.org/

AcknowledgmentsChild Mind InstituteMichael Milham, MD, PhDZarrar Shehzad

Nathan Kline InstituteAmalia McDonaldStan Colcombe, PhDBennett Leventhal, MD

NYU Child Study CenterAdriana DiMartino, MDF. Xavier Castellanos, MDVTCRIStephen LaConte, PhDPearl Chiu, PhDJonathan Lisinski, MS

Emory UniversityHelen Mayberg, MDThis work is funded by: A NARSAD Young Investigator Award and NIMH R01MH101555