Abstract
Background
Emotional distress disorders are characterized by high daily-life negative affect and impaired positive reappraisal emotion regulation ability. These disorders have been associated with altered frontoinsular functioning in important emotion regulation regions, especially medial prefrontal cortex (PFC) and insula, and with structural abnormalities that could be indicative of aberrant underlying connectivity. However, the relationship between frontoinsular activation and structural morphometry with daily-life negative affect is unclear.
Methods
Using multimodal neuroimaging and ambulatory assessment, individuals with emotional distress disorders (n = 27) completed a positive reappraisal emotion regulation task during scanning and subsequently reported on their daily-life negative affect repeatedly for two weeks.
Results
Increased daily-life negative affect was associated with increased medial PFC positive reappraisal activation. In contrast, increased daily-life negative affect was associated with decreased positive reappraisal activation in the left insula and cognitive flexibility regions (putamen and cerebellum). Additionally, increased daily-life negative affect was associated with left insula hypergyria and right posterior/inferior parietal hypogyria. Follow-up psychophysiological interactions analyses found increased daily-life negative affect associated with increased medial PFC-insula functional connectivity during positive reappraisal.
Conclusions
Results suggest frontoinsular emotion regulation activation and gyrification abnormalities could be markers of increased daily-life negative affect and important treatment targets for emotional distress disorders.
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References
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: American Psychiatric Association.
Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R., & Buckner, R. L. (2010). Functional-anatomic fractionation of the brain’s default network. Neuron, 65(4), 550–562. https://doi.org/10.1016/j.neuron.2010.02.005.
Andrews-Hanna, J. R., Smallwood, J., & Spreng, R. N. (2014). The default network and self-generated thought: Component processes, dynamic control, and clinical relevance. Annals of the New York Academy of Sciences, 1316(1), 29–52. https://doi.org/10.1111/nyas.12360.
Arnone, D., Job, D., Selvaraj, S., Abe, O., Amico, F., Cheng, Y., et al. (2016). Computational meta-analysis of statistical parametric maps in major depression. Human Brain Mapping, 37(4), 1393–1404. https://doi.org/10.1002/hbm.23108.
Ball, T. M., Ramsawh, H. J., Campbell-Sills, L., Paulus, M. P., & Stein, M. B. (2013). Prefrontal dysfunction during emotion regulation in generalized anxiety and panic disorders. Psychological Medicine, 43(7), 1475–1486. https://doi.org/10.1017/S0033291712002383.
Barnes, J., Ridgway, G. R., Bartlett, J., Henley, S. M., Lehmann, M., Hobbs, N., et al. (2010). Head size, age and gender adjustment in MRI studies: A necessary nuisance? NeuroImage, 53(4), 1244–1255. https://doi.org/10.1016/j.neuroimage.2010.06.025.
Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2003). General multilevel linear modeling for group analysis in fMRI. NeuroImage, 20(2), 1052–1063. https://doi.org/10.1016/S1053-8119(03)00435-X.
Blair, K. S., Otero, M., Teng, C., Geraci, M., Ernst, M., Blair, R. J. R., et al. (2017). Reduced optimism and a heightened neural response to everyday worries are specific to generalized anxiety disorder, and not seen in social anxiety. Psychological Medicine, 47(10), 1806–1815. https://doi.org/10.1017/S0033291717000265.
Buhle, J. T., Silvers, J. A., Wager, T. D., Lopez, R., Onyemekwu, C., Kober, H., et al. (2014). Cognitive reappraisal of emotion: A meta-analysis of human neuroimaging studies. Cerebral Cortex, 24, 2981–2990. https://doi.org/10.1093/cercor/bht154.
Campbell-Sills, L., Cohan, S. L., & Stein, M. B. (2006). Relationship of resilience to personality, coping, and psychiatric symptoms in young adults. Behaviour Research and Therapy, 44(4), 585–599. https://doi.org/10.1016/j.brat.2005.05.001.
Deen, B., Pitskel, N. B., & Pelphrey, K. A. (2011). Three systems of insular functional connectivity identified with cluster analysis. Cerebral Cortex, 21(7), 1498–1506. https://doi.org/10.1093/cercor/bhq186.
Deichmann, R., Gottfried, J. A., Hutton, C., & Turner, R. (2003). Optimized EPI for fMRI studies of the orbitofrontal cortex. Neuroimage, 19, 430–441. https://doi.org/10.1007/s10334-006-0067-6.
Delaveau, P., Jabourian, M., Lemogne, C., Allaïli, N., Choucha, W., Girault, N., et al. (2016). Antidepressant short-term and long-term brain effects during self-referential processing in major depression. Psychiatry Research: Neuroimaging, 247, 17–24. https://doi.org/10.1016/j.pscychresns.2015.11.007.
Depping, M. S., Thomann, P. A., Wolf, N. D., Vasic, N., Sosic-Vasic, Z., Schmitgen, M. M., et al. (2018). Common and distinct patterns of abnormal cortical gyrification in major depression and borderline personality disorder. European Neuropsychopharmacology, 28(10), 1115–1125. https://doi.org/10.1016/j.euroneuro.2018.07.100.
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., et al. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage, 31(3), 968–980. https://doi.org/10.1016/j.neuroimage.2006.01.021.
Dillon, D. G., & Pizzagalli, D. A. (2013). Evidence of successful modulation of brain activation and subjective experience during reappraisal of negative emotion in unmedicated depression. Psychiatry Research, 212(2), 99–107. https://doi.org/10.1016/j.pscychresns.2013.01.001.
Dixon, M. L., Todd, R., Thiruchselvam, R., & Christoff, K. (2017). Emotion and the prefrontal cortex: An integrative review. Psychological Bulletin, 143(10), 1033–1081. https://doi.org/10.1037/bul0000096.
Drabant, E. M., McRae, K., Manuck, S. B., Hariri, A. R., & Gross, J. J. (2009). Individual differences in typical reappraisal use predict amygdala and prefrontal responses. Biological Psychiatry, 65(5), 367–373. https://doi.org/10.1016/j.biopsych.2008.09.007.
Etkin, A., Egner, T., & Kalisch, R. (2011). Emotional processing in anterior cingulate and medial prefrontal cortex. Trends in Cognitive Sciences, 15(2), 85–93. https://doi.org/10.1016/j.tics.2010.11.004.
Gross, J. J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology, 2, 271–299. https://doi.org/10.1037/1089-2680.2.3.271.
Gross, J. J., & John, O. P. (2003). Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. Journal of Personality and Social Psychology, 85(2), 348–362. https://doi.org/10.1037/0022-3514.85.2.348.
Gross, J. J., & Thompson, R. A. (2007). Emotion regulation: Conceptual foundations. In J. J. Gross (Ed.), Handbook of emotion regulation (pp. 3–24). New York: The Guilford Press.
Hagler, D. J., Jr., Saygin, A. P., & Sereno, M. I. (2006). Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data. NeuroImage, 33(4), 1093–1103. https://doi.org/10.1016/j.neuroimage.2006.07.036.
Han, K. M., Won, E., Kang, J., Kim, A., Yoon, H. K., Chang, H. S., et al. (2017). Local gyrification index in patients with major depressive disorder and its association with tryptophan hydroxylase-2 (TPH2) polymorphism. Human Brain Mapping, 38(3), 1299–1310. https://doi.org/10.1002/hbm.23455.
Hayasaka, S., & Nichols, T. E. (2003). Validating cluster size inference: Random field and permutation methods. NeuroImage, 20, 2343–2356. https://doi.org/10.1016/j.neuroimage.2003.08.003.
Hepp, J., Carpenter, R. W., Lane, S. P., & Trull, T. J. (2016). Momentary symptoms of borderline personality disorder as a product of trait personality and social context. Personality Disorders: Theory, Research, and Treatment, 7(4), 384–393. https://doi.org/10.1037/per0000175.
Hibar, D. P., Westlye, L. T., Doan, N. T., Jahanshad, N., Cheung, J. W., Ching, C. R. K., et al. (2018). Cortical abnormalities in bipolar disorder: An MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group. Molecular Psychiatry, 23(4), 932–942. https://doi.org/10.1038/mp.2017.73.
Hofmann, S. G., Sawyer, A. T., Fang, A., & Asnaani, A. (2012). Emotion dysregulation model of mood and anxiety disorders. Depression and Anxiety, 29(5), 409–416. https://doi.org/10.1002/da.21888.
Hogstrom, L. J., Westlye, L. T., Walhovd, K. B., & Fjell, A. M. (2013). The structure of the cerebral cortex across adult life: Age-related patterns of surface area, thickness, and gyrification. Cerebral Cortex, 23(11), 2521–2530. https://doi.org/10.1093/cercor/bhs231.
Hua, J. P. Y., Trull, T. J., Merrill, A. M., McCarty, R. M., Straub, K. T., & Kerns, J. G. (2020a). Daily-life affective instability in emotional distress disorders is associated with function and structure of posterior parietal cortex. Psychiatry Research: Neuroimaging, 296, 111028. https://doi.org/10.1016/j.pscychresns.2019.111028.
Hua, J. P. Y., Trull, T. J., Merrill, A. M., Myers, O. T. T., Straub, K. T., & Kerns, J. G. (2020b). Data for: Daily-life negative affect in emotional distress disorders associated with frontoinsular emotion regulation activation and cortical gyrification. https://osf.io/gdf5w.
Im, K., Lee, J. M., Lyttelton, O., Kim, S. H., Evans, A. C., & Kim, S. I. (2008). Brain size and cortical structure in the adult human brain. Cerebral Cortex, 18(9), 2181–2191. https://doi.org/10.1093/cercor/bhm244.
Jessup, R. K., Busemeyer, J. R., & Brown, J. W. (2010). Error effects in anterior cingulate cortex reverse when error likelihood is high. Journal of Neuroscience, 30, 3467–3472. https://doi.org/10.1523/JNEUROSCI.4130-09.2010.
Johnstone, T., van Reekum, C. M., Urry, H. L., Kalin, N. H., & Davidson, R. J. (2007). Failure to regulate: Counterproductive recruitment of top-down prefrontal-subcortical circuitry in major depression. Journal of Neuroscience, 27(33), 8877–8884. https://doi.org/10.1523/jneurosci.2063-07.2007.
Kaiser, R. H., Andrews-Hanna, J. R., Wager, T. D., & Pizzagalli, D. A. (2015). Large-scale network dysfunction in major depressive disorder: A meta-analysis of resting-state functional connectivity. JAMA Psychiatry, 72(6), 603–611. https://doi.org/10.1001/jamapsychiatry.2015.0071.
Kaiser, R. H., Peterson, E., Kang, M. S., Feen, J. V. D., Aguirre, B., Clegg, R., et al. (2019). Frontoinsular network markers of current and future adolescent mood health. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 4(8), 715–725. https://doi.org/10.1016/j.bpsc.2019.03.014.
Kaiser, R. H., Whitfield-Gabrieli, S., Dillon, D. G., Goer, F., Beltzer, M., Minkel, J., et al. (2016). Dynamic resting-state functional connectivity in major depression. Neuropsychopharmacology, 41(7), 1822–1830. https://doi.org/10.1038/npp.2015.352.
Kanske, P., Heissler, J., Schönfelder, S., Bongers, A., & Wessa, M. (2011). How to regulate emotion? Neural networks for reappraisal and distraction. Cerebral Cortex, 21(6), 1379–1388. https://doi.org/10.1093/cercor/bhq216.
Kober, H., Barrett, L. F., Joseph, J., Bliss-Moreau, E., Lindquist, K., & Wager, T. D. (2008). Functional grouping and cortical-subcortical interactions in emotion: A meta-analysis of neuroimaging studies. NeuroImage, 42(2), 998–1031. https://doi.org/10.1016/j.neuroimage.2008.03.059.
Kohn, N., Eickhoff, S. B., Scheller, M., Laird, A. R., Fox, P. T., & Habel, U. (2014). Neural network of cognitive emotion regulation: An ALE meta-analysis and MACM analysis. NeuroImage, 87, 345–355. https://doi.org/10.1016/j.neuroimage.2013.11.001.
Koolschijn, P. C., van Haren, N. E., Lensvelt-Mulders, G. J., Hulshoff Pol, H. E., & Kahn, R. S. (2009). Brain volume abnormalities in major depressive disorder: A meta-analysis of magnetic resonance imaging studies. Human Brain Mapping, 30(11), 3719–3735. https://doi.org/10.1002/hbm.20801.
Kotov, R., Ruggero, C. J., Krueger, R. F., Watson, D., Yuan, Q., & Zimmerman, M. (2011). New dimensions in the quantitative classification of mental illness. Archives of General Psychiatry, 68(10), 1003–1011. https://doi.org/10.1001/archgenpsychiatry.2011.107.
Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (2005). International Affective Picture System (IAPS): Affective ratings of pictures and instruction manual. Technical Report A-6. University of Florida.
Li, Q., Zhao, Y., Chen, Z., Long, J., Dai, J., Huang, X., et al. (2019). Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder. Neuropsychopharmacology, 45(4), 703–712. https://doi.org/10.1038/s41386-019-0563-9.
Lui, S., Wu, Q., Qiu, L., Yang, X., Kuang, W., Chan, R. C., et al. (2011). Resting-state functional connectivity in treatment-resistant depression. The American Journal of Psychiatry, 168(6), 642–648. https://doi.org/10.1176/appi.ajp.2010.10101419.
Menon, V. (2011). Large-scale brain networks and psychopathology: A unifying triple network model. Trends in Cognitive Sciences, 15(10), 483–506. https://doi.org/10.1016/j.tics.2011.08.003.
Menon, V., & Uddin, L. Q. (2010). Saliency, switching, attention and control: A network model of insula function. Brain Structure & Function, 214(5–6), 655–667. https://doi.org/10.1007/s00429-010-0262-0.
Morawetz, C., Bode, S., Baudewig, J., Jacobs, A. M., & Heekeren, H. R. (2016). Neural representation of emotion regulation goals. Human Brain Mapping, 37(2), 600–620. https://doi.org/10.1002/hbm.23053.
Nejad, A. B., Rotgé, J. Y., Valabregue, R., Guérin-Langlois, C., Hoertel, N., Gorwood, P., et al. (2019). Medial prefrontal disengagement during self-focus in formerly depressed patients prone to rumination. Journal of Affective Disorders, 247, 36–44. https://doi.org/10.1016/j.jad.2019.01.004.
Nickerson, L. (2018). Replication of resting-state-task network correspondence and novel findings on brain network activation during task fMRI in the Human Connectome Project Study. Scientific Reports, 8(1), 17543. https://doi.org/10.1038/s41598-018-35209-6.
Nomi, J. S., Schettini, E., Broce, I., Dick, A. S., & Uddin, L. Q. (2018). Structural connections of functionally defined human insular subdivisions. Cerebral Cortex, 28(10), 3445–3456. https://doi.org/10.1093/cercor/bhx211.
Ochsner, K. N., Ray, R. D., Cooper, J. C., Robertson, E. R., Chopra, S., Gabrieli, J. D. E., et al. (2004). For better or for worse: Neural systems supporting the cognitive down- and up-regulation of negative emotion. NeuroImage, 23(2), 483–499. https://doi.org/10.1016/j.neuroimage.2004.06.030.
Ochsner, K. N., Silvers, J. A., & Buhle, J. T. (2012). Functional imaging studies of emotion regulation: A synthetic review and evolving model of the cognitive control of emotion. Annals of the New York Academy of Sciences, 1251, E1–E24. https://doi.org/10.1111/j.1749-6632.2012.06751.x.
Penttilä, J., Paillère-Martinot, M. L., Martinot, J. L., Ringuenet, D., Wessa, M., Houenou, J., et al. (2009). Cortical folding in patients with bipolar disorder or unipolar depression. Journal of Psycihatry & Neurosccience, 34(2), 127–135.
Petersburs, J., Hofmann, D., Becker, M. P. I., Nitsch, A. M., Miltner, W. H. R., & Straube, T. (2018). The role of the cerebellum for feedback processing and behavioral switching in a reversal-learning task. Brain and Cognition, 125, 142–148. https://doi.org/10.1016/j.bandc.2018.07.001.
Pfohl, B., Blum, N. S., & Zimmerman, M. (1997). Structured interview for DSM-IV personality: SIDP-IV. Washington, DC: American Psychiatric Press.
Picó-Pérez, M., Alemany-Navarro, M., Dunsmoor, J. E., Radua, J., Albajes-Eizagirre, A., Vervliet, B., et al. (2019). Common and distinct neural correlates of fear extinction and cognitive reappraisal: A meta-analysis of fMRI studies. Neuroscience and Biobehavioral Reviews, 104, 102–115. https://doi.org/10.1016/j.neubiorev.2019.06.029.
Picó-Pérez, M., Radua, J., Steward, T., Menchón, J. M., & Soriano-Mas, C. (2017). Emotion regulation in mood and anxiety disorders: A meta-analysis of fMRI cognitive reappraisal studies. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 79(Pt B), 96–104. https://doi.org/10.1016/j.pnpbp.2017.06.001.
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012). Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage, 59(3), 2142–2154. https://doi.org/10.1016/j.neuroimage.2011.10.018.
Psychology Software Tools, Inc. (2006). E-Prime 2.0 [computer software]. Sharpsburg, PA: Author.
Rakic, P. (1995). A small step for the cell, a giant leap for mankind: A hypothesis of neocortical expansion during evolution. Trends in Neurosciences, 18(9), 383–388. https://doi.org/10.1016/0166-2236(95)93934-p.
Salomons, T. V., Dunlop, K., Kennedy, S. H., Flint, A., Geraci, J., Giacobbe, P., et al. (2014). Resting-state cortico-thalamic-striatal connectivity predicts response to dorsomedial prefrontal rTMS in major depressive disorder. Neuropsychopharmacology, 39(2), 488–498. https://doi.org/10.1038/npp.2013.222.
Schaefer, A., Kong, R. U., Gordon, E. M., Laumann, T. O., Zuo, X. N., et al. (2018). Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI. Cerebral Cortex, 28(9), 3095–3114. https://doi.org/10.1093/cercor/bhx179.
Schaer, M., Otter, M. C., Scariati, E., Dukes, D., Fanchini, M., Eliez, S., et al. (2013). Decreased frontal gyrification correaltes with altered connectivity in children with autism. Frontiers in Human Neuroscience, 7, 750. https://doi.org/10.3389/fnhum.2013.00750.
Schmaal, L., Hibar, D. P., Sämann, P. G., Hall, G. B., Baune, B. T., Jahanshad, N., et al. (2017). Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group. Molecular Psychiatry, 22(6), 900–909. https://doi.org/10.1038/mp.2016.60.
Schmahmann, J. D., Guell, X., Stoodley, C. J., & Halko, M. A. (2019). The theory and neuroscience of cerebellar cognition. Annual Review of Neuroscience, 42, 337–364. https://doi.org/10.1146/annurev-neuro-070918-050258.
Schmahmann, J. D., Weilburg, J. B., & Sherman, J. C. (2007). The neuropsychiatry of the cerebellum: Insights from the clinic. Cerebellum, 6(3), 254–267. https://doi.org/10.1080/14734220701490995.
Schmitgen, M. M., Depping, M. S., Bach, C., Wolf, N. D., Kubera, K. M., Vasic, N., et al. (2019). Aberrant cortical neurodevelopment in major depressive disorder. Journal of Affective Disorders, 243, 340–347. https://doi.org/10.1016/j.jad.2018.09.021.
Schutter, D. J. L. G., & van Honk, J. (2009). The cerebellum in emotion regulation: A repetitive transcranial magnetic stimulation study. Cerebellum, 8, 28–34. https://doi.org/10.1007/s12311-008-0056-6.
Sheehan, D. V., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janavs, J., Weiller, E., et al. (1998). The Mini-International Neuropsychiatric Interview (M.I.N.I.): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry, 59, 22–33.
Sheline, Y. I., Barch, D. M., Price, J. L., Rundle, M. M., Vaishnavi, S. N., Snyder, A. Z., et al. (2009). The default mode network and self-referential processes in depression. Proceedings of the National Academy of Sciences of the United States of America, 106(6), 1942–1947. https://doi.org/10.1073/pnas.0812686106.
Sheppes, G., Suri, G., & Gross, J. J. (2015). Emotion regulation and psychopathology. Annual Review of Clinical Psychology, 11, 379–405. https://doi.org/10.1146/annurev-clinpsy-032814-112739.
Shiota, M. N., & Levenson, R. W. (2009). Effects of aging on experimentally instructed detached reappraisal, positive reappraisal, and emotional behavior suppression. Psychology and Aging, 24(4), 890–900. https://doi.org/10.1037/a0017896.
Shiota, M. N., & Levenson, R. W. (2012). Turn down the volume or change the channel? Emotional effects of detached versus positive reappraisal. Journal of Personality and Social Psychology, 103(3), 416–429. https://doi.org/10.1037/a0029208.
Sidlauskaite, J., Wiersema, J. R., Roeyers, H., Krebs, R. M., Vassena, E., Fias, W., et al. (2014). Anticipatory processes in brain state switching: Evidence from a novel cued-switching task implicating default mode and salience networks. NeuroImage, 98, 359–365. https://doi.org/10.1016/j.neuroimage.2014.05.010.
Sliz, D., & Hayley, S. (2012). Major depressive disorder and alterations in insular cortical activity: A review of current functional magnetic imaging research. Frontiers in Human Neuroscience, 6, 323. https://doi.org/10.3389/fnhum.2012.00323.
Strigo, I. A., Matthews, S. C., & Simmons, A. N. (2010). Right anterior insula hypoactivity during anticipation of homeostatic shifts in major depressive disorder. Psychosomatic Medicine, 72(3), 316–323. https://doi.org/10.1097/PSY.0b013e3181d07873.
Suh, J. S., Schneider, M. A., Minuzzi, L., MacQueen, G. M., Strother, S. C., Kennedy, S. H., et al. (2019). Cortical thickness in major depressive disorder: A systematic review and meta-analysis. Progress in Neuro-psychopharmacology & Biological Psychiatry, 88, 287–302. https://doi.org/10.1016/j.pnpbp.2018.08.008.
Tomko, R. L., Trull, T. J., Wood, P. K., & Sher, K. J. (2014). Characteristics of borderline personality disorder in a community sample: Comorbidity, treatment utilization, and general functioning. Journal of Personality Disorders, 28(5), 734–750. https://doi.org/10.1521/pedi_2012_26_093.
Toro, R., Perron, M., Pike, B., Richer, L., Veillette, S., Pausova, Z., et al. (2008). Brain size and folding of the human cerebral cortex. Cerebral Cortex, 18(10), 2352–2357. https://doi.org/10.1093/cercor/bhm261.
Trull, T. J., & Ebner-Priemer, U. (2013). Ambulatory assessment. Annual Review of Clinical Psychology, 9, 151–176. https://doi.org/10.1146/annurev-clinpsy-050212-185510.
Trull, T. J., & Ebner-Priemer, U. W. (2020). Ambulatory assessment in psychopathology research: A review of recommended reporting guidelines and current practices. Journal of Abnormal Psychology, 129(1), 56. https://doi.org/10.1037/abn0000473.
Uddin, L. Q. (2015). Salience processing and insular cortical function and dysfunction. Nature Reviews Neuroscience, 16(1), 55–61. https://doi.org/10.1038/nrn3857.
Van Dijk, K. R. A., Sabuncu, M. R., & Buckner, R. L. (2012). The influence of head motion on intrinsic functional connectivity MRI. NeuroImage, 59(1), 431–438. https://doi.org/10.1016/j.neuroimage.2011.07.044.
Van Essen, D. C. (1997). A tension-based theory of morphogenesis and compact wiring in the central nervous system. Nature, 385, 313–318. https://doi.org/10.1038/385313a0.
van Tol, M. J., Veer, I. M., van der Wee, N. J., Aleman, A., van Buchem, M. A., & Rombouts, T. J. (2013). Whole-brain functional connectivity during emotional word classification in medication-free major depressive disorder: Abnormal salience circuitry and relations to positive emotionality. NeuroImage: Clinical, 2, 790–796. https://doi.org/10.1016/j.nicl.2013.05.012.
Watson, D., & Clark, L. A. (1999). The PANAS-X: Manual for the positive and negative affect schedule-expanded form. Department of Psychological & Brain Sciences Publications, University of Iowa.https://doi.org/10.17077/48vt-m4t2
Watson, D., Clark, L. A., & Stasik, S. M. (2011). Emotions and the emotional disorders: A quantitative hierarchical perspective. International Journal of Clinical and Health Psychology, 11(3), 429–442.
Weber-Goericke, F., & Muehlhan, M. (2019). A quantitative meta-analysis of fMRI studies investigating emotional processing in excessive worriers: Application of activation likelihood estimation analysis. Journal of Affective Disorders, 243, 348–359. https://doi.org/10.1016/j.jad.2018.09.049.
Wellcome Trust Centre for Neuroimaging. (2020). SPM12.
White, T., & Hilgetag, C. C. (2011). Gyrification and neural connectivity in schizophrenia. Development and Psychopathology, 23(1), 339–352. https://doi.org/10.1017/S0954579410000842.
Wise, T., Radua, J., Via, E., Cardoner, N., Abe, O., Adams, T. M., et al. (2017). Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: Evidence from voxel-based meta-analysis. Molecular Psychiatry, 22, 1455–1463. https://doi.org/10.1038/mp.2016.72.
Woolrich, M. W., Behrens, T. E. J., Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2004). Multilevel linear modelling for fMRI group analysis using Bayesian inference. NeuroImage, 21(4), 1732–1747. https://doi.org/10.1016/j.neuroimage.2003.12.023.
Worsley, K. J. (2001). Statistical analysis of activation images. In P. Jezzard, P. M. Matthews, & S. M. Smith (Eds.), Functional MRI: An introduction to methods (pp. 251–270). Oxford, GB: Oxford University Press.
Zilverstand, A., Parvaz, M. A., & Goldstein, R. Z. (2017). Neuroimaging cognitive reappraisal in clinical populations to define neural targets for enhancing emotion regulation. A systematic review. NeuroImage, 151, 105–116. https://doi.org/10.1016/j.neuroimage.2016.06.009.
Funding
This study was funded by NIMH grant [R21 MH100359; John G. Kerns and Timothy J. Trull] and University of Missouri dissertation research funds [Jessica P. Y. Hua].
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Jessica P. Y. Hua, Timothy J. Trull, Anne M. Merrill, Oriana T. T. Myers, Kelsey T. Straub, and John G. Kerns declare that they have no conflict of interest.
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Hua, J.P.Y., Trull, T.J., Merrill, A.M. et al. Daily-Life Negative Affect in Emotional Distress Disorders Associated with Altered Frontoinsular Emotion Regulation Activation and Cortical Gyrification. Cogn Ther Res 45, 1–18 (2021). https://doi.org/10.1007/s10608-020-10155-8
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DOI: https://doi.org/10.1007/s10608-020-10155-8