- Brief Report
- Open Access
Insula response to unpredictable and predictable aversiveness in individuals with panic disorder and comorbid depression
Biology of Mood & Anxiety Disorders volume 4, Article number: 9 (2014)
Prior studies suggest that hyperactive insula responding to unpredictable aversiveness is a core feature of anxiety disorders. However, no study to date has investigated the neural correlates of unpredictable aversiveness in those with panic disorder (PD) with comorbid major depressive disorder (MDD). The aim of the current study was to examine group differences in neural responses to unpredictable and predictable aversiveness in 41 adults with either 1) current PD with comorbid MDD (PD-MDD), 2) current MDD with no lifetime diagnosis of an anxiety disorder (MDD-only), or 3) no lifetime diagnosis of psychopathology. All participants completed a functional magnetic resonance imaging (fMRI) scan while viewing temporally predictable or unpredictable negative or neutral images.
The results indicated that individuals with PD-MDD exhibited greater bilateral insula activation to unpredictable aversiveness compared with controls and individuals with MDD-only (who did not differ). There were no group differences in insula activation to predictable aversiveness.
These findings add to a growing literature highlighting the role of the insula in the pathophysiology of anxiety disorders.
Heightened anticipatory responding to uncertain negative events is a hallmark feature of clinical anxiety . Neuroimaging research indicates that the insula plays a major role in responding to uncertainty [2–4]. The insula is involved in interoceptive awareness and anticipatory emotional responses for future-oriented events . It also plays a role in the generation of how future events will feel by guiding predictions about the salience of upcoming aversiveness .
Individuals with anxiety disorders (e.g., post-traumatic stress disorder, generalized anxiety disorder, social anxiety disorder) exhibit hyperactive anterior and middle insula activation during the anticipation of unpredictable negative events [7–9]. Individuals at risk for anxiety disorders also display this pattern of results [10, 11]. However, no study to our knowledge has examined the neural correlates of unpredictable aversiveness in those with panic disorder (PD)—an anxiety disorder characterized by heightened anticipatory anxiety in response to unpredictable panic attacks . One would strongly speculate that this population exhibits abnormal insula reactivity to unpredictable aversiveness; however, empirical data is needed to corroborate this hypothesis.
An additional, more serious gap in the literature is that no study has examined the impact of comorbid major depressive disorder (MDD) on the neural correlates of unpredictable aversiveness in those with any anxiety disorders. This is a critical omission given that depression and anxiety share many neurobiological features  and the broader psychophysiological literature on the impact of comorbid depression on aversive responding in anxiety disorders is extremely mixed. It has been demonstrated that comorbid MDD has no impact , blunts aversive responding [15, 16], and enhances aversive responding [17, 18]. Given these findings, it is necessary that studies examine the role of comorbid PD and MDD, and MDD with no lifetime diagnosis of an anxiety disorder (MDD-only) on neural responses to aversiveness.
The aim of the current study was to examine neural responses to predictable and unpredictable aversiveness using functional magnetic resonance imaging (fMRI) in three groups: 1) current PD with comorbid MDD, 2) current MDD-only, and 3) no lifetime history of psychopathology. We used a passive picture-viewing task, previously shown to probe insula responses , during which participants anticipated viewing temporally predictable and unpredictable negative or neutral images. We hypothesized that individuals with PD-MDD would exhibit greater bilateral insula activation to unpredictable, but not predictable, aversiveness compared with MDD-only and control participants (who would not differ from each other).
The study included 41 adults with either 1) current PD with comorbid MDD (n = 13), 2) current MDD with no lifetime diagnosis of an anxiety disorder (n = 9), or 3) no lifetime history of psychopathology (n = 19). Participants were recruited from a larger study on emotional processes . Clinical diagnoses were made using the Structured Clinical Interview for DSM-IV. Participants in the comorbid group, but not the MDD-only group, were allowed to have additional lifetime anxiety disorders (Table 1). All participants provided written informed consent after review of the protocol and procedures were approved by the University of Illinois at Chicago Institutional Review Board.
Procedure and aversiveness task
The aversiveness task has been described in detail elsewhere . The participants viewed a series of count-ups (CU; e.g., 1-2-3) that ended with the presentation of a negative or neutral image selected from the International Affective Picture System (IAPS) . The task included two within-subjects factors—timing (predictable (P) vs. unpredictable (U)) and valence (negative (Neg) vs. neutral (Neut)). For each trial, text initially appeared at the bottom of the screen for 2 s indicating the timing and valence (i.e., P-Neut, P-Neg, U-Neut, or U-Neg). Next, the CU was presented for 4 to 11 s. At the end of the CU, the image appeared for 1.5 s. In the P condition, the participants were told when the CU would end and the valence of the image that would appear (e.g., “Neutral image at 6”). In the U condition, the participants knew the valence but did not know when the image would appear (e.g., “Unpleasant image can appear at anytime”). For each condition, trials were presented during 42-s blocks during which the CU was presented four times. Each condition block was presented four times, counterbalanced across two runs. In between blocks, a fixation cross was presented for 10 s.
fMRI data acquisition
Functional gradient-echo echo-planar images were acquired during the task (2 s TR, 25 ms TE, 82° flip, 64 × 64 matrix, 200-mm field of view (FOV), 3-mm slice thickness, 0-mm gap, with 40 axial slices). A high-resolution, T1-weighted anatomical scan was also acquired in the same axial orientation (25° flip, 512 × 512 matrix, 220-mm FOV, 1.5-mm slice thickness, 120 axial slices).
fMRI data analyses
All data met criteria for high quality and scan stability with minimum motion correction (i.e., <3-mm displacement in any one direction). Functional data were analyzed using Statistical Parametric Mapping software (SPM8, Wellcome Department of Imaging Neuro-Science, London, UK). The images were spatially realigned, warped to standardized Montreal Neurological Institute (MNI) space using each participant’s T1 image, resampled to 2-mm3 voxels, and smoothed with an 8-mm3 kernel. The general linear model was applied to the time series, convolved with the canonical hemodynamic response function and with a 128-s high-pass filter. Effects were estimated at each voxel and for each subject.
CUs and presentation of IAPS images during U-Neg, U-Neut, P-Neg, and P-Neut conditions were modeled separately at the first level. Individual statistical parametric maps for CUs only were entered into a second-level 2 (valence: Neg vs. Neut) × 2 (predictability: P vs. U) × 3 (group: control vs. MDD-only vs. PD-MDD) analysis of variance (ANOVA). Given our hypotheses about the role of predictability, if we did not find any significant three-way interactions, we ran separate 2 (valence) × 3 (group) ANOVAs for P and U conditions. Age was included as a covariate in all analyses. Because of our a priori hypothesis about the insula, we created an anatomically derived partial brain mask of the entire bilateral insula (5,731 voxels) and applied a cluster-based significance thresholding to adjust for multiple comparisons. Based on simulations (10,000 iterations) performed with AlphaSim (http://afni.nimh.nih.gov/pub/dist/doc/manual/AlphaSim.pdf), a familywise error correction at α < 0.05 is achieved with a voxel threshold of p < 0.005 and a cluster size of at least 61 contiguous voxels. We extracted BOLD signal responses (arbitrary units) from 5-mm (radius) spheres surrounding significant peak activations to conduct post hoc comparisons.
Negative images were rated as more unpleasant (F(1, 38) = 98.25, p < 0.01) and arousing (F(1, 38) = 18.91, p < 0.01) relative to neutral images. Valence and arousal ratings did not differ as a function of predictability (all ps > 0.05). PD-MDD participants rated neutral images as more arousing relative to MDD-only (F(1, 20) = 4.34, p < 0.05) and control (F(1, 30) = 6.63, p < 0.05) participants (who did not differ).
There were no significant valence × predictability × group interactions. However, there was a significant valence × group interaction for bilateral middle insula activation during the U conditions (right MNI peak [34, -20, 20], Z = 3.48, p < 0.05, corrected; left MNI peak [-36, -2, 18], Z = 3.78, p < 0.05, corrected; see Figure 1). Specifically, the groups differed on bilateral middle insula activation during U-Neg (right F(2, 40) = 4.72, p < 0.05; left F(2, 40) = 3.81, p < 0.05), but not during U-Neut (ps > 0.05). During U-Neg, the PD-MDD group exhibited greater bilateral insula activation compared with controls (right t(30) = 2.71, p < 0.05; left t(30) = 2.36, p < 0.05) and MDD-only subjects (right t(20) = 2.11, p < 0.05; left t(20) = 2.20, p < 0.05). The control and MDD-only participants did not differ from each other. Moreover, there were no significant valence × group interactions during the P conditions. All whole-brain results are presented in Table 2.
Consistent with our hypotheses, individuals with PD-MDD exhibited greater bilateral insula activation to unpredictable aversiveness compared with controls and individuals with MDD-only (who did not differ from each other). There were no group differences in insula activation to predictable aversiveness. Although the group by valence by predictability interaction was not significant, this pattern of results suggests that the association between PD-MDD and hyperactive insula responding may be more robust during anticipation of unpredictable relative to predictable aversiveness.
Given that individuals with PD-MDD, but not individuals with MDD-only, exhibited hyperactive insula responding, PD may be associated with enhanced insula reactivity to uncertain aversiveness similar to other anxiety disorders. This is noteworthy given that PD is characterized by chronic heightened anticipatory anxiety between panic attacks . Moreover, after experiencing an initial panic attack, individuals develop PD via a process in which anticipatory anxiety regarding the temporal uncertainty of the next panic attack increases the likelihood of additional attacks . A positive feedback loop between anticipatory anxiety and panic attacks is thought to precipitate the onset of PD. In light of the current findings, it is possible that heightened insula reactivity maintains chronic anticipatory anxiety and is a brain-based mechanism underlying the transition from initial panic attack to PD. Although it is also possible that heightened insula reactivity is a consequence of PD and/or a concomitant of the disorder, individuals at risk for anxiety disorders have similarly demonstrated this effect, suggesting that heightened insula reactivity to unpredictable aversiveness may indeed be a biological risk factor . Future research is therefore needed to further elucidate the role of insula reactivity in PD.
These results also fit with current theory on the functions of the insula [5, 22]. In response to uncertain aversiveness, individuals with PD-MDD exhibited hyperactivation of the middle insula, which is a region responsible for integrating environmental and interoceptive information to ultimately represent moments in time and make inferences about how future events will feel. Among individuals with PD, heightened middle insula reactivity may reflect a tendency to overestimate the affective consequences of impending aversiveness, resulting in exaggerated anticipatory anxiety . Importantly, this process is consistent with the clinical picture of PD as these individuals tend to overestimate the harm of panic attacks, which produces anticipatory anxiety between attacks . Heightened insula reactivity to uncertain aversiveness may therefore contribute to the onset of PD (noted above) and the maintenance of PD.
Although these findings address important gaps in the literature, there are several limitations. First, the current sample size was small, which reduced statistical power, and the results should therefore be considered preliminary. Second, approximately one third of the comorbid subjects were currently taking psychiatric mediations, and it is possible that this impacted their neural responding. Notably, when individuals currently taking medications were excluded from the current study, the pattern of results was entirely the same. Third, future research is needed to determine whether the current findings are due to PD or PD-MDD.
The current study has several important implications. Most notably, the results indicate that individuals with PD-MDD exhibit heightened insula reactivity to unpredictable aversiveness compared with healthy controls. This adds to a growing literature noting that hyperactive insula responding to unpredictable aversiveness may contribute to the pathophysiology of anxiety disorders.
major depressive disorder
comorbid panic disorder and major depressive disorder
Montreal Neurological Institute.
Grupe DW, Nitschke JB: Uncertainty and anticipation in anxiety: an integrated neurobiological and psychological perspective. Nat Rev Neurosci. 2013, 14 (7): 488-501. 10.1038/nrn3524.
Singer T, Critchley HD, Preuschoff K: A common role of insula in feelings, empathy and uncertainty. Trends Cogn Sci. 2009, 13 (8): 334-340. 10.1016/j.tics.2009.05.001.
Shankman SA, Gorka SM, Nelson BD, Fitzgerald DA, Phan L, O’Daly O: Anterior insula responds to temporally unpredictable aversiveness: an fMRI study. Neuroreport. 2014, 25: 596-600.
Somerville LH, Wagner DD, Wig GS, Moran JM, Whalen PJ, Kelley WM: Interactions between transient and sustained neural signals support the generation and regulation of anxious emotion. Cereb Cortex. 2013, 23: 49-60. 10.1093/cercor/bhr373.
Craig AD: How do you feel—now? The anterior insula and human awareness. Nat Rev Neurosci. 2009, 10 (1): 59-70. 10.1038/nrn2555.
Lowenstein GF, Weber EU, Hsee CK, Welch N: Risk as feelings. Psychol Bull. 2001, 127 (2): 267-286.
Aupperle RL, Allard CB, Grimes EM, Simmons AN, Flagan T, Behrooznia M, Cissell SH, Twamlev EW, Thorp SR, Norman SB, Paulus MP, Stein MB: Dorsolateral prefrontal cortex activation during emotional anticipation and neuropsychological performance in posttraumatic stress disorder. Arch Gen. 2012, 69: 360-371. 10.1001/archgenpsychiatry.2011.1539.
Simmons AN, Stein MB, Strigo IA, Arce E, Hitchcock C, Paulus MP: Anxiety positive subjects show altered processing in the anterior insula during anticipation of negative stimuli. Hum Brain Mapp. 2011, 32 (11): 1836-1846. 10.1002/hbm.21154.
Straube T, Mentzel HJ, Miltner WH: Waiting for spiders: brain activation during anticipatory anxiety in spider phobics. Neuroimage. 2007, 37 (4): 1427-1436. 10.1016/j.neuroimage.2007.06.023.
Simmons A, Matthews SC, Paulus MP, Stein MB: Intolerance of uncertainty correlates with insula activation during affective ambiguity. Neurosci Lett. 2008, 430 (2): 92-97. 10.1016/j.neulet.2007.10.030.
Simmons A, Strigo I, Matthews SC, Paulus MP, Stein MB: Anticipation of aversive visual stimuli is associated with increased insula activation in anxiety-prone subjects. Biol Psychiatry. 2006, 60 (4): 402-409. 10.1016/j.biopsych.2006.04.038.
American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders. 2013, Washington, D.C.: American Psychiatric Press, 5
Watson D: Rethinking the mood and anxiety disorders: a quantitative hierarchical model for DSM-V. J Abnorm Psychol. 2005, 114 (4): 522-536.
Shankman SA, Nelson BD, Sarapas CE, Robison-Andrew J, Campbell ML, Altman SE, McGowan SK, Katz AC, Gorka SM: A psychophysiological investigation of threat and reward. J Abnorm Psychol. 2013, 122: 322-338.
McTeague LM, Lang PJ: The anxiety spectrum and the reflex physiology of defense: from circumscribed fear to broad distress. Depress Anxiety. 2012, 29: 264-281. 10.1002/da.21891.
Taylor-Clift A, Morris BH, Rottenberg J, Kovacs M: Emotion-modulated startle in anxiety disorders is blunted by co-morbid depressive episodes. Psychol Med. 2011, 41 (1): 129-139. 10.1017/S003329171000036X.
Grillon C, Franco-Chaves JA, Mateus CF, Ionescu DF, Zarate CA: Major depression is not associated with blunting of aversive responses; evidence for enhanced anxious anticipation. PLoS One. 2013, 8 (8): e70969-10.1371/journal.pone.0070969.
Robinson OJ, Overstreet C, Letkiewicz A, Grillon C: Depressed mood enhances anxiety to unpredictable threat. Psychol Med. 2012, 42 (7): 1397-1407. 10.1017/S0033291711002583.
First MB, Spitzer RL, Gibbon M, Williams JBW: Structured Clinical Interview for DSM-IV Axis I Disorders, Clinician Version. 1996, Washington, DC: American Psychiatric Press
Lang PJ, Bradley MM, Cuthbert BN: Technical Report A-8. International Affective Picture System (IAPS): Affective Ratings of Pictures and Instruction Manual. 2008, Gainesville: University of Florida
Bouton ME, Mineka S, Barlow DH: A modern learning theory perspective on the etiology of panic disorder. Psychol Rev. 2001, 108: 4-32.
Craig AD: Significance of the insula for the evolution of human awareness of feelings from the body. Ann NY Acad Sci. 2011, 1225: 72-82. 10.1111/j.1749-6632.2011.05990.x.
McNally RJ: Psychological approaches to panic disorder: a review. Psychol Bull. 1990, 108 (3): 403-419.
We would like to thank Ashley Huggins, E. Jenna Robison, Sarah E. Altman, Casey Sarapas, Miranda L. Campbell, and Andrea C. Katz for their assistance with the data collection for the present study. This study was supported by grants from Brain and Behavior Research Foundation, National Institute of Mental Health Grant R21 MH080689 (PI: Shankman), and National Institute on Alcohol Abuse and Alcoholism F31 AA 22273-01A1 (PI: Gorka).
The authors declare that they have no competing interests.
SAS designed the study and wrote the protocol. SMG wrote the first draft of the manuscript and conducted the analyses. BDN conducted the literature search and assisted in the editing of the manuscript. KLP helped with the interpretation of the results and made important contributions to the editing of the manuscript. All authors contributed to and have approved the final manuscript.
Authors’ original submitted files for images
Below are the links to the authors’ original submitted files for images.