Structural atrophy of the right superior frontal gyrus in adolescents with severe irritability

Ji-Woo Seok, Sahil Bajaj, Brigette Soltis-Vaughan, Arica Lerdahl, William Garvey, Alexandra Bohn, Ryan Edwards, Christopher J Kratochvil, James Blair, Soonjo Hwang, Ji-Woo Seok, Sahil Bajaj, Brigette Soltis-Vaughan, Arica Lerdahl, William Garvey, Alexandra Bohn, Ryan Edwards, Christopher J Kratochvil, James Blair, Soonjo Hwang

Abstract

Severe irritability is common in youths with psychiatric disorders and results in significant dysfunction across domains (academic, social, and familial). Prior structural MRI studies in the pediatric population demonstrated that aberrations of cortical thickness (CT) and gray matter volume (GMV) in the fronto-striatal-temporal regions which have been associated with irritability. However, the directions of the correlations between structural alteration and irritability in the individual indices were not consistent. Thus, we aim to address this by implementing comprehensive assessments of CT, GMV, and local gyrification index (LGI) simultaneously in youths with severe levels of irritability by voxel-based morphometry and surface-based morphometry. One hundred and eight adolescents (46 youths with severe irritability and 62 healthy youths, average age = 14.08 years, standard deviation = 2.36) were scanned with a T1-weighted MRI sequence. The severity of irritability was measured using the affective reactivity index. In youths with severe irritability, there was decreased CT, GMV, and LGI in the right superior frontal gyrus (SFG) compared to healthy youths, and negative correlations between these indices of the SFG and irritability. Our findings suggest that structural deficits in the SFG, potentially related to its role in inhibitory control, may be critical for the neurobiology of irritability.

Trial registration: ClinicalTrials.gov NCT02824627.

Keywords: cortical thickness; gray matter volume; gyrification; insula; superior frontal gyrus; superior temporal gyrus.

Conflict of interest statement

None of the authors have conflict of interest to disclose.

© 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

Figures

FIGURE 1
FIGURE 1
VBM correlation analysis (p < .001, uncorrected) in the severe irritability group. Brain regions that show a negative correlation with the severeness of irritability (ARI scores). Right superior frontal gyrus (peak MNI coordinate: [39, −17, 65]); right parahippocampal gyrus (peak MNI coordinate: [−23, −5, −30]); left precentral gyrus (peak MNI coordinate: [−65, 6, 24]); left middle occipital gyrus (peak MNI coordinate: [−33, −75, 6]); right caudate (peak MNI coordinate: [20, 26, 9]); right cerebellum (peak MNI coordinate: [−2, −68, −11]). The x‐axis represents the ARI score, and the y‐axis shows the relative amount of GMV
FIGURE 2
FIGURE 2
SBM correlation analysis in the severe irritability group (p < .001, uncorrected at peak level). Clusters that had significant correlation of CT with ARI scale values. The x‐axis represents the ARI score, and the y‐axis shows the CT
FIGURE 3
FIGURE 3
Links between LGI and severity of irritability in the severe irritability group. Shown are correlations at p ≤ .001, uncorrected for multiple comparisons. The x‐axis represents the ARI score, and the y‐axis shows the LGI

References

    1. Adleman, N. E., Fromm, S. J., Razdan, V., Kayser, R., Dickstein, D. P., Brotman, M. A., … Leibenluft, E. (2012). Cross‐sectional and longitudinal abnormalities in brain structure in children with severe mood dysregulation or bipolar disorder. Journal of Child Psychology and Psychiatry, 53(11), 1149–1156.
    1. American Psychiatric Association . (2013). Diagnostic and statistical manual 5. Washington, DC: American Psychiatric Association.
    1. Ashburner, J. (2007). A fast diffeomorphic image registration algorithm. NeuroImage, 38(1), 95–113.
    1. Ashburner, J., & Friston, K. J. (2000). Voxel‐based morphometry—The methods. NeuroImage, 11(6), 805–821.
    1. Ashburner, J., & Friston, K. J. (2005). Unified segmentation. NeuroImage, 26(3), 839–851.
    1. Avenevoli, S., Blader, J. C., & Leibenluft, E. (2015). Irritability in youth: An update. Journal of the American Academy of Child and Adolescent Psychiatry, 54(11), 881–883.
    1. Bansal, R., Gerber, A. J., & Peterson, B. S. (2008). Brain morphometry using anatomical magnetic resonance imaging. Journal of the American Academy of Child and Adolescent Psychiatry, 47(6), 619.
    1. Beauchaine, T. P., & Tackett, J. L. (2020). Irritability as a transdiagnostic vulnerability trait: Current issues and future directions. Behavior Therapy, 51(2), 350–364.
    1. Bonham, M. D., Shanley, D. C., Waters, A. M., & Elvin, O. M. (2021). Inhibitory control deficits in children with oppositional defiant disorder and conduct disorder compared to attention deficit hyperactivity disorder: A systematic review and meta‐analysis. Journal of Abnormal Child Psychology, 49, 39–62.
    1. Chen, C.‐H., Panizzon, M. S., Eyler, L. T., Jernigan, T. L., Thompson, W., Fennema‐Notestine, C., … Hamza, S. (2011). Genetic influences on cortical regionalization in the human brain. Neuron, 72(4), 537–544.
    1. Chouinard, P. A., & Paus, T. (2010). What have we learned from “perturbing” the human cortical motor system with transcranial magnetic stimulation? Frontiers in Human Neuroscience, 4, 173.
    1. Crum, K. I., Hwang, S., Blair, K. S., Aloi, J. M., Meffert, H., White, S. F., … Blair, R. J. R. (2020). Interaction of irritability and anxiety on emotional responding and emotion regulation: A functional MRI study. Psychological Medicine, 1–11. 10.1017/s0033291720001397
    1. Dahnke, R., Yotter, R. A., & Gaser, C. (2013). Cortical thickness and central surface estimation. NeuroImage, 65, 336–348.
    1. Dale, A. M., Fischl, B., & Sereno, M. I. (1999). Cortical surface‐based analysis: I. Segmentation and surface reconstruction. NeuroImage, 9(2), 179–194.
    1. Dennis, E. L., Humphreys, K. L., King, L. S., Thompson, P. M., & Gotlib, I. H. (2019). Irritability and brain volume in adolescents: Cross‐sectional and longitudinal associations. Social Cognitive and Affective Neuroscience, 14(7), 687–698.
    1. Destrieux, C., Fischl, B., Dale, A., & Halgren, E. (2010). Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature. NeuroImage, 53(1), 1–15.
    1. Deveney, C. M., Connolly, M. E., Haring, C. T., Bones, B. L., Reynolds, R. C., Kim, P., … Leibenluft, E. (2013). Neural mechanisms of frustration in chronically irritable children. American Journal of Psychiatry, 170(10), 1186–1194.
    1. Deveney, C. M., Connolly, M. E., Jenkins, S. E., Kim, P., Fromm, S. J., Pine, D. S., & Leibenluft, E. (2012). Neural recruitment during failed motor inhibition differentiates youths with bipolar disorder and severe mood dysregulation. Biological Psychology, 89(1), 148–155.
    1. Fischl, B., & Dale, A. M. (2000). Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proceedings of the National Academy of Sciences, 97(20), 11050–11055.
    1. Fishburn, F. A., Hlutkowsky, C. O., Bemis, L. M., Huppert, T. J., Wakschlag, L. S., & Perlman, S. B. (2019). Irritability uniquely predicts prefrontal cortex activation during preschool inhibitory control among all temperament domains: A LASSO approach. NeuroImage, 184, 68–77.
    1. Fjell, A. M., Grydeland, H., Krogsrud, S. K., Amlien, I., Rohani, D. A., Ferschmann, L., … Due‐Tønnessen, P. (2015). Development and aging of cortical thickness correspond to genetic organization patterns. Proceedings of the National Academy of Sciences, 112(50), 15462–15467.
    1. Ford, A., McGregor, K. M., Case, K., Crosson, B., & White, K. D. (2010). Structural connectivity of Broca's area and medial frontal cortex. NeuroImage, 52(4), 1230–1237.
    1. Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., … Rapoport, J. L. (1999). Brain development during childhood and adolescence: A longitudinal MRI study. Nature Neuroscience, 2(10), 861–863.
    1. Gold, A. L., Brotman, M. A., Adleman, N. E., Lever, S. N., Steuber, E. R., Fromm, S. J., … Leibenluft, E. (2016). Comparing brain morphometry across multiple childhood psychiatric disorders. Journal of the American Academy of Child & Adolescent Psychiatry, 55(12), 1027–1037 e1023.
    1. Greve, D. N., & Fischl, B. (2018). False positive rates in surface‐based anatomical analysis. NeuroImage, 171, 6–14.
    1. Huttenlocher, P. R., & Dabholkar, A. S. (1997). Regional differences in synaptogenesis in human cerebral cortex. Journal of Comparative Neurology, 387(2), 167–178.
    1. Huttenlocher, P. R., De Courten, C., Garey, L. J., & Van der Loos, H. (1982). Synaptic development in human cerebral cortex. International Journal of Neurology, 16, 144.
    1. Hutton, C., Draganski, B., Ashburner, J., & Weiskopf, N. (2009). A comparison between voxel‐based cortical thickness and voxel‐based morphometry in normal aging. NeuroImage, 48(2), 371–380.
    1. Jirsaraie, R. J., Kaczkurkin, A. N., Rush, S., Piiwia, K., Adebimpe, A., Bassett, D. S., … Ciric, R. (2019). Accelerated cortical thinning within structural brain networks is associated with irritability in youth. Neuropsychopharmacology, 44(13), 2254–2262.
    1. Karalunas, S. L., Fair, D., Musser, E. D., Aykes, K., Iyer, S. P., & Nigg, J. T. (2014). Subtyping attention‐deficit/hyperactivity disorder using temperament dimensions: Toward biologically based nosologic criteria. JAMA Psychiatry, 71(9), 1015–1024.
    1. Kaufman, J., Birmaher, B., Brent, D., Rao, U., Flynn, C., Moreci, P., … Ryan, N. (1997). Schedule for affective disorders and schizophrenia for school‐age children‐present and lifetime version (K‐SADS‐PL): Initial reliability and validity data. Journal of the American Academy of Child & Adolescent Psychiatry, 36(7), 980–988.
    1. Kaufman, J., Birmaher, B., Brent, D. A., Ryan, N. D., & Rao, U. (2000). K‐SADS‐PL. Journal of the American Academy of Child & Adolescent Psychiatry, 39(10), 1208.
    1. Kelly, P. A., Viding, E., Wallace, G. L., Schaer, M., De Brito, S. A., Robustelli, B., & McCrory, E. J. (2013). Cortical thickness, surface area, and gyrification abnormalities in children exposed to maltreatment: Neural markers of vulnerability? Biological Psychiatry, 74(11), 845–852.
    1. Langen, M., Leemans, A., Johnston, P., Ecker, C., Daly, E., Murphy, C. M., … Consortium, A . (2012). Fronto‐striatal circuitry and inhibitory control in autism: Findings from diffusion tensor imaging tractography. Cortex, 48(2), 183–193.
    1. Leblanc, É., Dégeilh, F., Daneault, V., Beauchamp, M. H., & Bernier, A. (2017). Attachment security in infancy: A preliminary study of prospective links to brain morphometry in late childhood. Frontiers in Psychology, 8, 2141.
    1. Lee, D., Kwak, S., & Chey, J. (2019). Parallel changes in cognitive function and gray matter volume after multicomponent training of cognitive control (MTCC) in adolescents. Frontiers in Human Neuroscience, 13, 246.
    1. Leibenluft, E. (2017). Irritability in children: What we know and what we need to learn. World Psychiatry, 16(1), 100.
    1. Leibenluft, E., Blair, R. J. R., Charney, D. S., & Pine, D. S. (2003). Irritability in pediatric mania and other childhood psychopathology. Annals of the New York Academy of Sciences, 1008(1), 201–218.
    1. Lenroot, R. K., & Giedd, J. N. (2006). Brain development in children and adolescents: Insights from anatomical magnetic resonance imaging. Neuroscience & Biobehavioral Reviews, 30(6), 718–729.
    1. Li, W., Qin, W., Liu, H., Fan, L., Wang, J., Jiang, T., & Yu, C. (2013). Subregions of the human superior frontal gyrus and their connections. NeuroImage, 78, 46–58.
    1. Liuzzi, M. T., Kryza‐Lacombe, M., Christian, I. R., Palumbo, D., Amir, N., & Wiggins, J. L. (2020). Neural and behavioral correlates of inhibitory control in youths with varying levels of irritability. Journal of Affective Disorders, 273, 567–575. . jad.2020.04.049.
    1. Luders, E., Thompson, P. M., Narr, K., Toga, A. W., Jancke, L., & Gaser, C. (2006). A curvature‐based approach to estimate local gyrification on the cortical surface. NeuroImage, 29(4), 1224–1230.
    1. Martino, J., Gabarrós, A., Deus, J., Juncadella, M., Acebes, J., Torres, A., & Pujol, J. (2011). Intrasurgical mapping of complex motor function in the superior frontal gyrus. Neuroscience, 179, 131–142.
    1. McAlonan, G. M., Cheung, V., Chua, S. E., Oosterlaan, J., Hung, S.‐F., Tang, C.‐P., … Cheung, C. (2009). Age‐related grey matter volume correlates of response inhibition and shifting in attention‐deficit hyperactivity disorder. The British Journal of Psychiatry, 194(2), 123–129.
    1. Mulraney, M. A., Melvin, G. A., & Tonge, B. J. (2014). Psychometric properties of the affective reactivity index in Australian adults and adolescents. Psychological Assessment, 26(1), 148.
    1. Nachev, P., Kennard, C., & Husain, M. (2008). Functional role of the supplementary and pre‐supplementary motor areas. Nature Reviews Neuroscience, 9(11), 856–869.
    1. Pagliaccio, D., Pine, D. S., Barch, D. M., Luby, J. L., & Leibenluft, E. (2018). Irritability trajectories, cortical thickness, and clinical outcomes in a sample enriched for preschool depression. Journal of the American Academy of Child & Adolescent Psychiatry, 57(5), 336–342 e336.
    1. Panizzon, M. S., Fennema‐Notestine, C., Eyler, L. T., Jernigan, T. L., Prom‐Wormley, E., Neale, M., … Franz, C. E. (2009). Distinct genetic influences on cortical surface area and cortical thickness. Cerebral Cortex, 19(11), 2728–2735.
    1. Petanjek, Z., Judaš, M., Kostović, I., & Uylings, H. B. (2008). Lifespan alterations of basal dendritic trees of pyramidal neurons in the human prefrontal cortex: A layer‐specific pattern. Cerebral Cortex, 18(4), 915–929.
    1. Petanjek, Z., Judaš, M., Šimić, G., Rašin, M. R., Uylings, H. B., Rakic, P., & Kostović, I. (2011). Extraordinary neoteny of synaptic spines in the human prefrontal cortex. Proceedings of the National Academy of Sciences, 108(32), 13281–13286.
    1. Petrides, M., & Pandya, D. (2002). Comparative cytoarchitectonic analysis of the human and the macaque ventrolateral prefrontal cortex and corticocortical connection patterns in the monkey. European Journal of Neuroscience, 16(2), 291–310.
    1. Rakic, P. (1988). Specification of cerebral cortical areas. Science, 241(4862), 170–176.
    1. Rakic, P. (2007). The radial edifice of cortical architecture: From neuronal silhouettes to genetic engineering. Brain Research Reviews, 55(2), 204–219.
    1. Righart, R., Schmidt, P., Dahnke, R., Biberacher, V., Beer, A., Buck, D., … Gaser, C. (2017). Volume versus surface‐based cortical thickness measurements: A comparative study with healthy controls and multiple sclerosis patients. PLoS One, 12(7), e0179590.
    1. Schaer, M., Cuadra, M. B., Tamarit, L., Lazeyras, F., Eliez, S., & Thiran, J.‐P. (2008). A surface‐based approach to quantify local cortical gyrification. IEEE Transactions on Medical Imaging, 27(2), 161–170.
    1. Seiger, R., Ganger, S., Kranz, G. S., Hahn, A., & Lanzenberger, R. (2018). Cortical thickness estimations of freesurfer and the CAT12 toolbox in patients with Alzheimer's disease and healthy controls. Journal of Neuroimaging, 28(5), 515–523.
    1. Semple, B. D., Blomgren, K., Gimlin, K., Ferriero, D. M., & Noble‐Haeusslein, L. J. (2013). Brain development in rodents and humans: Identifying benchmarks of maturation and vulnerability to injury across species. Progress in Neurobiology, 106, 1–16.
    1. Singh, M. K., Chang, K. D., Mazaika, P., Garrett, A., Adleman, N., Kelley, R., … Reiss, A. (2010). Neural correlates of response inhibition in pediatric bipolar disorder. Journal of Child and Adolescent Psychopharmacology, 20(1), 15–24.
    1. Stoddard, J., Tseng, W.‐L., Kim, P., Chen, G., Yi, J., Donahue, L., … Leibenluft, E. (2017). Association of irritability and anxiety with the neural mechanisms of implicit face emotion processing in youths with psychopathology. JAMA Psychiatry, 74(1), 95–103.
    1. Stringaris, A., Goodman, R., Ferdinando, S., Razdan, V., Muhrer, E., Leibenluft, E., & Brotman, M. A. (2012). The affective reactivity index: A concise irritability scale for clinical and research settings. Journal of Child Psychology and Psychiatry, 53(11), 1109–1117.
    1. Tseng, W.‐L., Deveney, C. M., Stoddard, J., Kircanski, K., Frackman, A. E., Yi, J. Y., … Donahue, L. (2019). Brain mechanisms of attention orienting following frustration: Associations with irritability and age in youths. American Journal of Psychiatry, 176(1), 67–76.
    1. Wechsler, D. (2011). Wechsler abbreviated scale of intelligence–second edition. San Antonio, TX: NCS Pearson.
    1. Wiggins, J. L., Brotman, M. A., Adleman, N. E., Kim, P., Oakes, A. H., Reynolds, R. C., … Leibenluft, E. (2016). Neural correlates of irritability in disruptive mood dysregulation and bipolar disorders. American Journal of Psychiatry, 173(7), 722–730.
    1. Winkler, A. M., Greve, D. N., Bjuland, K. J., Nichols, T. E., Sabuncu, M. R., Håberg, A. K., … Rimol, L. M. (2018). Joint analysis of cortical area and thickness as a replacement for the analysis of the volume of the cerebral cortex. Cerebral Cortex, 28(2), 738–749.
    1. Winkler, A. M., Kochunov, P., Blangero, J., Almasy, L., Zilles, K., Fox, P. T., … Glahn, D. C. (2010). Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies. NeuroImage, 53(3), 1135–1146.
    1. Yotter, R. A., Nenadic, I., Ziegler, G., Thompson, P. M., & Gaser, C. (2011). Local cortical surface complexity maps from spherical harmonic reconstructions. NeuroImage, 56(3), 961–973.

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