The role of ventromedial prefrontal cortex in anxiety and emotional resilience Tor D. Wager 1, Christian Waugh 2, Martin A. Lindquist 3, Barbara Fredrickson.

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The role of ventromedial prefrontal cortex in anxiety and emotional resilience Tor D. Wager 1, Christian Waugh 2, Martin A. Lindquist 3, Barbara Fredrickson 4, Douglas C. Noll 5, Stephan F. Taylor 6 INTRODUCTION RESULTS METHODS. Heart Rate + Ant. PFC Temporal pole OFC VMPFC DLPFC MTG dACC Para-hipp. V. Striatum - Connectivity in speech-preparation task Positive correlation Negative correlation Activation t-value Figure 4. Resilience effects in VMPFC Significant (p <.05) Onset estimates Resilience Onset estimate Control limits Observed t Time (TRs, 2 s) Average within-subject correlation (r) Threshold: p <.005 Figure 2. Correlations between brain activity and heart-rate increases Speech topic instruction Speech preparation “No speech” instruction Fixation baseline Figure 1. Task design: Anxiogenic task Time (TRs, 2 s) Estimated activation onset Cognitive & Affective Control Lab * Download this poster at the website above The study of brain correlates of emotion in humans has posed a persistent challenge, in part because: a)it is difficult to manipulate and maintain strong emotional states b) the analysis of state-effects is complicated by low-frequency drift and difficulties in specifying precisely what cognitive and affective operations may give rise to state-related brain activity. In this study, we induced an emotional state using a silent public speech-preparation task that has been shown to provoke anxiety. Many cognitive and affective processes may occur during performance of this task; we used the following additional information to localize anxiety: State-anxiety-related activity should match the timecourse of subjective anxiety. We characterize the onset and duration of activity in a data-driven way to look for sustained shifts in fMRI activity. Anxiety-related activity should track physiological indicators of anxiety. We correlate fMRI activity with heart-rate changes within subjects over time to find regions that a) change with heart rate, and b) show increased correlation with heart rate during anxiety. Anxiety-related fMRI activity should be affected by anxiety- related personality characteristics. We selected individuals high or low in ego resilience and examined the moderating effects of personality on putative anxiety-related fMRI activity. VMPFC is an area of particular interest Implicated in both generation and regulation of stress response Strong projections to brainstem autonomic control centers Participants. N = 30, selected from a group of 160 to be in the top or bottom quartile on the Ego Resilience Scale (J. Block) Task design. Participants were instructed that during scanning, they would mentally prepare a 7-min long speech that would be later presented to a audience of expert judges. They were told that they would have 2 min to prepare, and that the topic would be presented during scanning. 6 min total scanning time. After 2 min of resting baseline participants viewed a screen describing the topic (“Why are you a good friend?”) and instructed to prepare silently. After 2 min of preparation, participants were told they would not have to give the speech after all, and they could relax for the remaining 2 min of scanning (“Recovery”). Data acquisition and analysis. Reverse spiral GRE images (D. Noll) acquired on 3 T GE (improved susceptibility artifact reduction), TR = 2s, 3.12 x mm voxels, 215 images HEWMA: Raw timeseries data linear detrended and subjected to hierarchical exponentially weighted moving average analysis (Lindquist and Wager, 2006, in press): no a priori model for when activation should begin or end Locate voxels that deviated significantly from the 2 min baseline period (“random effects”) Locate voxels that showed significant differences in timecourse between Resilient vs Nonresilient subjects Characterize onset time and duration of active voxels Brain-physiology correlations. Correlations (Pearson’s r) between heart rate and brain activity timeseries for each subject were assessed voxel-by-voxel using robust regression (Wager et al., 2005). Fisher’s r-to-z transformation was used to normalize r values for each subject. Z values tested for significance in the group (“random effects”) using robust regression 2nd-level moderation of HR-brain correlations by Resilience was assessed using robust regression (also called “PPI” in SPM). Seed analyses on timeseries connectivity with brain regions of interest were performed in the same way Thresholds: HEWMA corrected over time using multivariate-t Monte Carlo and over space using FDR p <.05. Correlations thresholded using FDR p <.05 or p <.001, whichever was more conservative. T-value for lag SUMMARY VMPFC is one of only two regions in the brain that, in this study, showed sustained positive activation during an anxiogenic speech-preparation task. Nonresilient individuals showed stronger activity, suggesting at least one rostral subregion is associated with the generation of subjective anxiety. This region may be an analogue of prelimbic cortex in the rat (Sullivan & Gratton; Torrealba; Quirk). VMPFC activity was strongly correlated with heart rate, and the correlation was strongest for nonresilient individuals. The correlation was stronger during speech preparation than during baseline. VMPFC activity preceded changes in heart rate, suggesting a role in context-based control of autonomic output. Connectivity analyses showed that VMPFC activity is positively coupled with lateral prefrontal activity, and this connectivity was strongest for nonresilient individuals. This finding suggests that cognitive conceptual/attentional processes contribute to anxiety in nonresilient individuals. Are VMPFC-heart rate correlations due to vascular artifacts? Probably not; regions around main arteries and veins do not correlate with HR, and the correlation is affected by both task state (speech vs. baseline) and personality (resilience) HEWMA analysis: Which voxels deviate from baseline after speech preparation begins? Many regions: VMPFC, DMPFC, lateral PFC, temporal, parietal, and occipital Responding to visual events, cognitive demand, affect HEWMA analysis: Which voxels show sustained changes during speech preparation? K-means clustering on Onset & Duration times (7 classes) Transient Are VMPFC activations due to cognitive demand or subvocal rehearsal? Probably not; DLPFC, parietal cortex, and other regions are transiently activated and do not correlate with HR. VMPFC and superior temporal cortex are the only areas showing sustained changes. Sustained Onset of speech task s s Sig. deviation from baseline VMPFC activity: Group timecourse Other sig. effects: Nonresilient > Resilient in DLPFC; Resilient > Non in ventral striatum Does VMPFC activity differ for resilient and nonresilient subjects? A portion of VMPFC is more active for nonresilient subjects. Timeseries connectivity analysis: Does VMPFC correlate with heart rate? Yes; VMPFC is the strongest positively-correlated region. * Six subjects out of 24 selected at random for display Regions showing significant lag Blue: Brain precedes heart; Red: Heart precedes brain Neg: Brain earlier Pos: Heart earlier Are VMPFC changes associated with autonomic control or feedback? VMPFC changes precede changes in heart rate, implicating it in control. Insula lags behnd heart: Interoception? MPFC precedes heart: autonomic control Are VMPFC - Heart Rate correlations stronger during speech preparation than baseline? T-value for Speech - Baseline Red: Stronger correlation during speech Timeseries correlation and seed analyses: Does Resilience moderate brain connectivity with VMPFC? VMPFC - Heart rate correlation VMPFC - HR correlation is stronger for Nonresilient individuals DLPFC - VMPFC is stronger in Nonresilient than Resilient Blue: Corr. More positive for nonresilient 1 Department of Psychology, Columbia University 2 Department of Psychology, University of Michigan 3 Department of Statistics, Columbia University 4 Department of Psychology, U. North Carolina 5 Department of Biomedical Engineering, University of Michigan 6 Department of Psychiatry, University of Michigan