{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T01:27:30Z","timestamp":1789694850681,"version":"4.0.1"},"reference-count":70,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T00:00:00Z","timestamp":1710374400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T00:00:00Z","timestamp":1710374400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"HUN-REN Research Centre for Natural Sciences"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Res Child Adolesc Psychopathol"],"published-print":{"date-parts":[[2024,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Understanding atypicalities in ADHD brain correlates is a step towards better understanding ADHD etiology. Efforts to map atypicalities at the level of brain structure have been hindered by the absence of normative reference standards. Recent publication of brain charts allows for assessment of individual variation relative to age- and sex-adjusted reference standards and thus estimation not only of case-control differences but also of intraindividual prediction.\n                    <jats:italic>Methods.<\/jats:italic>\n                    Aim was to examine, whether brain charts can be applied in a sample of adolescents (\n                    <jats:italic>N<\/jats:italic>\n                    \u00a0=\u00a0140, 38% female) to determine whether atypical brain subcortical and total volumes are associated with ADHD at-risk status and severity of parent-rated symptoms, accounting for self-rated anxiety and depression, and parent-rated oppositional defiant disorder (ODD) as well as motion.\n                    <jats:italic>Results.<\/jats:italic>\n                    Smaller bilateral amygdala volume was associated with ADHD at-risk status, beyond effects of comorbidities and motion, and smaller bilateral amygdala volume was associated with inattention and hyperactivity\/impulsivity, beyond effects of comorbidities except for ODD symptoms, and motion.\n                    <jats:italic>Conclusions.<\/jats:italic>\n                    Individual differences in amygdala volume meaningfully add to estimating ADHD risk and severity. Conceptually, amygdalar involvement is consistent with behavioral and functional imaging data on atypical reinforcement sensitivity as a marker of ADHD-related risk. Methodologically, results show that brain chart reference standards can be applied to address clinically informative, focused and specific questions.\n                  <\/jats:p>","DOI":"10.1007\/s10802-024-01190-0","type":"journal-article","created":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T04:45:39Z","timestamp":1710391539000},"page":"1063-1074","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Amygdala Volume is Associated with ADHD Risk and Severity Beyond Comorbidities in Adolescents: Clinical Testing of Brain Chart Reference Standards"],"prefix":"10.1007","volume":"52","author":[{"given":"\u00c1d\u00e1m","family":"N\u00e1rai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Petra","family":"Hermann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandra","family":"R\u00e1dosi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P\u00e1l","family":"Vakli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B\u00e9la","family":"Weiss","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J\u00e1nos M.","family":"R\u00e9thelyi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9645-604X","authenticated-orcid":false,"given":"N\u00f3ra","family":"Bunford","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zolt\u00e1n","family":"Vidny\u00e1nszky","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,3,14]]},"reference":[{"key":"1190_CR1","unstructured":"Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA School-Age forms & profiles. University of Vermont, Research Center for Children, Youth, & Families."},{"issue":"7","key":"1190_CR2","doi-asserted-by":"publisher","first-page":"2385","DOI":"10.1002\/hbm.23180","volume":"37","author":"A Alexander-Bloch","year":"2016","unstructured":"Alexander-Bloch, A., Clasen, L., Stockman, M., Ronan, L., Lalonde, F., Giedd, J., & Raznahan, A. (2016). Subtle in-scanner motion biases automated measurement of brain anatomy from in vivo MRI. Human Brain Mapping, 37(7), 2385\u20132397. https:\/\/doi.org\/10.1002\/hbm.23180","journal-title":"Human Brain Mapping"},{"key":"1190_CR3","doi-asserted-by":"crossref","unstructured":"American Psychiatric Association. (2022). Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, text revision (DSM-5-TR). American Psychiatric Association.","DOI":"10.1176\/appi.books.9780890425787"},{"issue":"11","key":"1190_CR4","doi-asserted-by":"publisher","first-page":"920","DOI":"10.1002\/da.22299","volume":"31","author":"TMM Ball","year":"2014","unstructured":"Ball, T. M. M., Stein, M. B. B., & Paulus, M. P. P. (2014). Toward the application of functional neuroimaging to individualized treatment for anxiety and depression. Depression and Anxiety, 31(11), 920\u2013933. https:\/\/doi.org\/10.1002\/da.22299","journal-title":"Depression and Anxiety"},{"issue":"1","key":"1190_CR5","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1037\/0033-2909.121.1.65","volume":"121","author":"RA Barkley","year":"1997","unstructured":"Barkley, R. A. (1997). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121(1), 65\u201394.","journal-title":"Psychological Bulletin"},{"key":"1190_CR6","doi-asserted-by":"publisher","unstructured":"Baxter, M. G., & Murray, E. A. (2002). The amygdala and reward. Nature Reviews Neuroscience, 3(7). https:\/\/doi.org\/10.1038\/nrn875. Article 7.","DOI":"10.1038\/nrn875"},{"key":"1190_CR7","doi-asserted-by":"publisher","unstructured":"Bethlehem, R. I., Seidlitz, J., White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-Gonzalez, A., Astle, D. E., Auyeung, B., Ayub, M., Bae, J., Ball, G., Baron-Cohen, S., Beare, R., Bedford, S. A., Benegal, V., & Alexander-Bloch, A. F. (2022). Brain charts for the human lifespan. Nature, 604(7906). https:\/\/doi.org\/10.1038\/s41586-022-04554-y. Article 7906.","DOI":"10.1038\/s41586-022-04554-y"},{"key":"1190_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.conb.2010.03.002","author":"TS Braver","year":"2010","unstructured":"Braver, T. S., Cole, M. W., & Yarkoni, T. (2010). Vive les differences! Individual variation in neural mechanisms of executive control. Current Opinion in Neurobiology. https:\/\/doi.org\/10.1016\/j.conb.2010.03.002","journal-title":"Current Opinion in Neurobiology"},{"key":"1190_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1017\/S0954579420002199","volume":"16","author":"N Bunford","year":"2021","unstructured":"Bunford, N., Kujawa, A., Dyson, M., Olino, T., & Klein, D. N. (2021). Developmental pathways from preschool temperament to early adolescent ADHD symptoms through initial responsiveness to reward. Development and Psychopathology, 16, 1\u201313. https:\/\/doi.org\/10.1017\/S0954579420002199","journal-title":"Development and Psychopathology"},{"key":"1190_CR9","doi-asserted-by":"publisher","first-page":"152389","DOI":"10.1016\/j.comppsych.2023.152389","volume":"124","author":"N Bunford","year":"2023","unstructured":"Bunford, N., H\u00e1mori, G., Nemoda, Z., Angyal, N., Fi\u00e1th, R., Seb\u0151k-Welker, T. \u00c9., P\u00e1szthy, B., Ulbert, I., & R\u00e9thelyi, J. M. (2023). The domain-variant indirect association between electrophysiological response to reward and ADHD presentations is moderated by dopaminergic polymorphisms. Comprehensive Psychiatry, 124, 152389. https:\/\/doi.org\/10.1016\/j.comppsych.2023.152389","journal-title":"Comprehensive Psychiatry"},{"key":"1190_CR11","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.ps.42.020191.002331","author":"DM Buss","year":"1991","unstructured":"Buss, D. M. (1991). Evolutionary personality psychology. Annual Review of Psychology. https:\/\/doi.org\/10.1146\/annurev.ps.42.020191.002331","journal-title":"Annual Review of Psychology"},{"key":"1190_CR14","doi-asserted-by":"publisher","DOI":"10.1038\/nrn896","author":"FX Castellanos","year":"2002","unstructured":"Castellanos, F. X., & Tannock, R. (2002). Neuroscience of attention-deficit\/hyperactivity disorder: The search for endophenotypes. Nature Reviews Neuroscience. https:\/\/doi.org\/10.1038\/nrn896","journal-title":"Nature Reviews Neuroscience"},{"issue":"14","key":"1190_CR12","doi-asserted-by":"publisher","first-page":"1740","DOI":"10.1001\/jama.288.14.1740","volume":"288","author":"FX Castellanos","year":"2002","unstructured":"Castellanos, F. X., Lee, P. P., Sharp, W., Jeffries, N. O., Greenstein, D. K., Clasen, L. S., Blumenthal, J. D., James, R. S., Ebens, C. L., Walter, J. M., Zijdenbos, A., Evans, A. C., Giedd, J. N., & Rapoport, J. L. (2002). Developmental trajectories of brain volume abnormalities in children and adolescents with attention-deficit\/hyperactivity disorder. Journal of the American Medical Association, 288(14), 1740\u20131748. https:\/\/doi.org\/10.1001\/jama.288.14.1740","journal-title":"Journal of the American Medical Association"},{"key":"1190_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2006.01.011","author":"FX Castellanos","year":"2006","unstructured":"Castellanos, F. X., Sonuga-Barke, E. J. S., Milham, M. P., & Tannock, R. (2006). Characterizing cognition in ADHD: Beyond executive dysfunction. Trends in Cognitive Sciences. https:\/\/doi.org\/10.1016\/j.tics.2006.01.011","journal-title":"Trends in Cognitive Sciences"},{"issue":"4","key":"1190_CR15","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1080\/13651501.2019.1628277","volume":"23","author":"E D\u2019Agati","year":"2019","unstructured":"D\u2019Agati, E., Curatolo, P., & Mazzone, L. (2019). Comorbidity between ADHD and anxiety disorders across the lifespan. International Journal of Psychiatry in Clinical Practice, 23(4), 238\u2013244. https:\/\/doi.org\/10.1080\/13651501.2019.1628277","journal-title":"International Journal of Psychiatry in Clinical Practice"},{"key":"1190_CR16","doi-asserted-by":"publisher","DOI":"10.1080\/15374416.2017.1417860","author":"ML Danielson","year":"2018","unstructured":"Danielson, M. L., Bitsko, R. H., Ghandour, R. M., Holbrook, J. R., Kogan, M. D., & Blumberg, S. J. (2018). Prevalence of parent-reported ADHD diagnosis and Associated Treatment among U.S. children and adolescents, 2016. Journal of Clinical Child and Adolescent Psychology. https:\/\/doi.org\/10.1080\/15374416.2017.1417860","journal-title":"Journal of Clinical Child and Adolescent Psychology"},{"key":"1190_CR17","doi-asserted-by":"crossref","unstructured":"DuPaul, G. J., Power, T. J., Anastopoulos, A. D., & Reid, R. (2016). ADHD rating Scale-5 for children and adolescents. The Guilford.","DOI":"10.1037\/t05638-000"},{"key":"1190_CR18","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1186\/1471-244X-8-51","volume":"8","author":"I Ellison-Wright","year":"2008","unstructured":"Ellison-Wright, I., Ellison-Wright, Z., & Bullmore, E. (2008). Structural brain change in attention deficit hyperactivity disorder identified by meta-analysis. Bmc Psychiatry, 8, 51. https:\/\/doi.org\/10.1186\/1471-244X-8-51","journal-title":"Bmc Psychiatry"},{"key":"1190_CR211","doi-asserted-by":"publisher","unstructured":"Esteban, O., Birman, D., Schaer, M., Koyejo, O. O., Poldrack, R. A., Gorgolewski, K. J. (2017). MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites. PLOS ONE 12, e0184661 . https:\/\/doi.org\/10.1371\/journal.pone.0184661","DOI":"10.1371\/journal.pone.0184661"},{"key":"1190_CR19","doi-asserted-by":"publisher","unstructured":"Fair, D. A., Bathula, D., Nikolas, M. A., Nigg, J. T., Iyer, S., Bathula, D., Mills, K. L., Dosenbach, N. U. F., Schlaggar, B. L., Mennes, M., Gutman, D., Bangaru, S., Buitelaar, J. K., Dickstein, D. P., Di Martino, A., Kennedy, D. N., Kelly, C., Luna, B., Schweitzer, J. B., & Milham, M. P. (2012). Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD. Proceedings of the National Academy of Sciences, 6, 80. https:\/\/doi.org\/10.1073\/pnas.1115365109","DOI":"10.1073\/pnas.1115365109"},{"key":"1190_CR20","doi-asserted-by":"publisher","DOI":"10.1017\/s003329170500471x","author":"SV Faraone","year":"2006","unstructured":"Faraone, S. V., Biederman, J., & Mick, E. (2006). The age-dependent decline of attention deficit hyperactivity disorder: A meta-analysis of follow-up studies. Psychological Medicine. https:\/\/doi.org\/10.1017\/s003329170500471x","journal-title":"Psychological Medicine"},{"key":"1190_CR21","unstructured":"First, M. B., Williams, J. B. W., Karg, R. S., & Spitzer, R. L. (2016). In X. Gonda (Ed.), SCID-5-CV (Klinikai v\u00e1ltozat). Struktur\u00e1lt Klinikai interj\u00fa a DSM-5\u00ae zavarok felm\u00e9r\u00e9s\u00e9re. Oriold \u00e9s T\u00e1rsai Ltd."},{"key":"1190_CR210","doi-asserted-by":"publisher","unstructured":"Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., Kouwe, A. van der, Killiany, R., Kennedy, D., Klaveness, S., Montillo, A., Makris, N., Rosen, B., Dale, A. M. (2002). Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain. Neuron, 33, 341\u2013355. https:\/\/doi.org\/10.1016\/S0896-6273(02)00569-X","DOI":"10.1016\/S0896-6273(02)00569-X"},{"key":"1190_CR22","doi-asserted-by":"publisher","DOI":"10.1111\/bjdp.12136","author":"T Forslund","year":"2016","unstructured":"Forslund, T., Brocki, K. C., Bohlin, G., Granqvist, P., & Eninger, L. (2016). The heterogeneity of attention-deficit\/hyperactivity disorder symptoms and conduct problems: Cognitive inhibition, emotion regulation, emotionality, and disorganized attachment. British Journal of Developmental Psychology. https:\/\/doi.org\/10.1111\/bjdp.12136\/a-n\/a","journal-title":"British Journal of Developmental Psychology"},{"issue":"2","key":"1190_CR23","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1111\/j.1600-0447.2011.01786.x","volume":"125","author":"T Frodl","year":"2012","unstructured":"Frodl, T., & Skokauskas, N. (2012). Meta-analysis of structural MRI studies in children and adults with attention deficit hyperactivity disorder indicates treatment effects. Acta Psychiatrica Scandinavica, 125(2), 114\u2013126. https:\/\/doi.org\/10.1111\/j.1600-0447.2011.01786.x","journal-title":"Acta Psychiatrica Scandinavica"},{"issue":"1","key":"1190_CR24","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1186\/s40708-021-00128-2","volume":"8","author":"AD Gilmore","year":"2021","unstructured":"Gilmore, A. D., Buser, N. J., & Hanson, J. L. (2021). Variations in structural MRI quality significantly impact commonly used measures of brain anatomy. Brain Informatics, 8(1), 7. https:\/\/doi.org\/10.1186\/s40708-021-00128-2","journal-title":"Brain Informatics"},{"issue":"17","key":"1190_CR25","doi-asserted-by":"publisher","first-page":"2420","DOI":"10.12998\/wjcc.v7.i17.2420","volume":"7","author":"S Gnanavel","year":"2019","unstructured":"Gnanavel, S., Sharma, P., Kaushal, P., & Hussain, S. (2019). Attention deficit hyperactivity disorder and comorbidity: A review of literature. World Journal of Clinical Cases, 7(17), 2420\u20132426. https:\/\/doi.org\/10.12998\/wjcc.v7.i17.2420","journal-title":"World Journal of Clinical Cases"},{"key":"1190_CR26","doi-asserted-by":"publisher","unstructured":"Haber, S. N., & Knutson, B. (2010). The reward circuit: Linking primate anatomy and human imaging. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology, 35(1). https:\/\/doi.org\/10.1038\/npp.2009.129","DOI":"10.1038\/npp.2009.129"},{"issue":"4","key":"1190_CR27","doi-asserted-by":"publisher","first-page":"560","DOI":"10.1037\/0033-2909.132.4.560","volume":"132","author":"JM Halperin","year":"2006","unstructured":"Halperin, J. M., & Schulz, K. P. (2006). Revisiting the role of the prefrontal cortex in the pathophysiology of attention-deficit\/hyperactivity disorder. Psychological Bulletin, 132(4), 560\u2013581. https:\/\/doi.org\/10.1037\/0033-2909.132.4.560","journal-title":"Psychological Bulletin"},{"key":"1190_CR28","doi-asserted-by":"publisher","first-page":"115139","DOI":"10.1016\/j.psychres.2023.115139","volume":"323","author":"G H\u00e1mori","year":"2023","unstructured":"H\u00e1mori, G., File, B., Fi\u00e1th, R., P\u00e1szthy, B., R\u00e9thelyi, J. M., Ulbert, I., & Bunford, N. (2023). Adolescent ADHD and electrophysiological reward responsiveness: A machine learning approach to evaluate classification accuracy and prognosis. Psychiatry Research, 323, 115139. https:\/\/doi.org\/10.1016\/j.psychres.2023.115139","journal-title":"Psychiatry Research"},{"key":"1190_CR29","doi-asserted-by":"publisher","DOI":"10.1017\/S1355617711000294","author":"DM Healey","year":"2011","unstructured":"Healey, D. M., Marks, D. J., & Halperin, J. M. (2011). Examining the interplay among negative emotionality, cognitive functioning, and attention deficit\/hyperactivity disorder symptom severity. Journal of the International Neuropsychological Society. https:\/\/doi.org\/10.1017\/S1355617711000294","journal-title":"Journal of the International Neuropsychological Society"},{"issue":"2","key":"1190_CR31","doi-asserted-by":"publisher","first-page":"e31273","DOI":"10.1371\/journal.pone.0031273","volume":"7","author":"M Hoogman","year":"2012","unstructured":"Hoogman, M., Rijpkema, M., Janss, L., Brunner, H., Fernandez, G., Buitelaar, J., Franke, B., & Arias-V\u00e1squez, A. (2012). Current self-reported symptoms of attention deficit\/hyperactivity disorder are associated with total brain volume in healthy adults. PloS One, 7(2), e31273. https:\/\/doi.org\/10.1371\/journal.pone.0031273","journal-title":"PloS One"},{"issue":"4","key":"1190_CR30","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1016\/S2215-0366(17)30049-4","volume":"4","author":"M Hoogman","year":"2017","unstructured":"Hoogman, M., Bralten, J., Hibar, D. P., Mennes, M., Zwiers, M. P., Schweren, L., van Hulzen, K. J. E., Medland, S. E., Shumskaya, E., Jahanshad, N., de Zeeuw, P., Szekely, E., Sudre, G., Wolfers, T., Onnink, A. M. H., Dammers, J. T., Mostert, J. C., Vives-Gilabert, Y., Kohls, G., & Franke, B. (2017). Subcortical brain volume differences of participants with ADHD across the lifespan: An ENIGMA collaboration. The Lancet Psychiatry, 4(4), 310\u2013319. https:\/\/doi.org\/10.1016\/S2215-0366(17)30049-4","journal-title":"The Lancet Psychiatry"},{"key":"1190_CR32","unstructured":"Hungarian Central Statistical Office. (n.d.). A h\u00e1ztart\u00e1sok \u00e9letsz\u00ednvonala, 2020. Retrieved September 14 (2023). from https:\/\/www.ksh.hu\/docs\/hun\/xftp\/idoszaki\/hazteletszinv\/2020\/index.html"},{"key":"1190_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.bpsc.2016.09.006","author":"A Kujawa","year":"2017","unstructured":"Kujawa, A., & Burkhouse, K. L. (2017). Vulnerability to Depression in Youth: Advances from affective neuroscience. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. https:\/\/doi.org\/10.1016\/j.bpsc.2016.09.006","journal-title":"Biological Psychiatry: Cognitive Neuroscience and Neuroimaging"},{"key":"1190_CR34","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-7610.2006.01629.x","author":"MM Martel","year":"2006","unstructured":"Martel, M. M., & Nigg, J. T. (2006). Child ADHD and personality\/temperament traits of reactive and effortful control, resiliency, and emotionality. Journal of Child Psychology and Psychiatry and Allied Disciplines. https:\/\/doi.org\/10.1111\/j.1469-7610.2006.01629.x","journal-title":"Journal of Child Psychology and Psychiatry and Allied Disciplines"},{"issue":"3","key":"1190_CR35","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1177\/1073858404263526","volume":"10","author":"SM McClure","year":"2004","unstructured":"McClure, S. M., York, M. K., & Montague, P. R. (2004). The neural substrates of reward processing in humans: The modern role of FMRI. The Neuroscientist: A Review Journal Bringing Neurobiology Neurology and Psychiatry, 10(3), 260\u2013268. https:\/\/doi.org\/10.1177\/1073858404263526","journal-title":"The Neuroscientist: A Review Journal Bringing Neurobiology Neurology and Psychiatry"},{"key":"1190_CR36","unstructured":"MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites | PLOS ONE. (n.d.). Retrieved August 2 (2023). from https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0184661"},{"issue":"11","key":"1190_CR37","doi-asserted-by":"publisher","first-page":"1154","DOI":"10.1176\/appi.ajp.2011.11020281","volume":"168","author":"T Nakao","year":"2011","unstructured":"Nakao, T., Radua, J., Rubia, K., & Mataix-Cols, D. (2011). Gray matter volume abnormalities in ADHD: Voxel-based meta-analysis exploring the effects of age and stimulant medication. The American Journal of Psychiatry, 168(11), 1154\u20131163. https:\/\/doi.org\/10.1176\/appi.ajp.2011.11020281","journal-title":"The American Journal of Psychiatry"},{"key":"1190_CR38","doi-asserted-by":"publisher","unstructured":"N\u00e1rai, \u00c1., Hermann, P., Auer, T., Kemenczky, P., Szalma, J., Homolya, I., Somogyi, E., Vakli, P., Weiss, B., & Vidny\u00e1nszky, Z. (2022). Movement-related artefacts (MR-ART) dataset of matched motion-corrupted and clean structural MRI brain scans. Scientific Data, 9(1). https:\/\/doi.org\/10.1038\/s41597-022-01694-8","DOI":"10.1038\/s41597-022-01694-8"},{"issue":"2","key":"1190_CR39","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1037\/0022-3514.83.2.451","volume":"83","author":"JT Nigg","year":"2002","unstructured":"Nigg, J. T., John, O. P., Blaskey, L. G., Huang-Pollock, C. L., Willcutt, E. G., Hinshaw, S. P., Pennington, B., John, O. P., Willcutt, E. G., Pennington, B., Blaskey, L. G., Huang-Pollock, C. L., Willcutt, E. G., Hinshaw, S. P., & Pennington, B. (2002). Big five dimensions and ADHD symptoms: Links between personality traits and clinical symptoms. Journal of Personality and Social Psychology, 83(2), 451\u2013469. https:\/\/doi.org\/10.1037\/0022-3514.83.2.451","journal-title":"Journal of Personality and Social Psychology"},{"issue":"8","key":"1190_CR40","doi-asserted-by":"publisher","first-page":"815","DOI":"10.1001\/jamapsychiatry.2016.0700","volume":"73","author":"LJ Norman","year":"2016","unstructured":"Norman, L. J., Carlisi, C., Lukito, S., Hart, H., Mataix-Cols, D., Radua, J., & Rubia, K. (2016). Structural and functional brain abnormalities in Attention-Deficit\/Hyperactivity disorder and obsessive-compulsive disorder: A comparative Meta-analysis. JAMA Psychiatry, 73(8), 815\u2013825. https:\/\/doi.org\/10.1001\/jamapsychiatry.2016.0700","journal-title":"JAMA Psychiatry"},{"key":"1190_CR41","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/j.neuroimage.2016.05.005","volume":"135","author":"HR Pardoe","year":"2016","unstructured":"Pardoe, H. R., Hiess, K., R., & Kuzniecky, R. (2016). Motion and morphometry in clinical and nonclinical populations. Neuroimage, 135, 177\u2013185. https:\/\/doi.org\/10.1016\/j.neuroimage.2016.05.005","journal-title":"Neuroimage"},{"issue":"85","key":"1190_CR42","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, \u00c9. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12(85), 2825\u20132830.","journal-title":"Journal of Machine Learning Research"},{"issue":"4","key":"1190_CR43","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1023\/A:1022658618368","volume":"26","author":"DR Pillow","year":"1998","unstructured":"Pillow, D. R., Pelham, W. E., Hoza, B., Molina, B. S. G., & Stultz, C. H. (1998). Confirmatory factor analyses examining attention deficit hyperactivity disorder symptoms and other childhood disruptive behaviors. Journal of Abnormal Child Psychology, 26(4), 293\u2013309. https:\/\/doi.org\/10.1023\/A:1022658618368","journal-title":"Journal of Abnormal Child Psychology"},{"key":"1190_CR44","doi-asserted-by":"publisher","DOI":"10.31219\/osf.io\/hnpyt","author":"C Provins","year":"2023","unstructured":"Provins, C., MacNicol, E., Savary, E., Hagmann, P., & Esteban, O. (2023). Assessment of B1 field dynamics of rats BOLD fMRI using the wavelet transform. OSF Preprints. https:\/\/doi.org\/10.31219\/osf.io\/hnpyt","journal-title":"OSF Preprints"},{"key":"1190_CR45","doi-asserted-by":"publisher","DOI":"10.1007\/s10964-023-01794-7","author":"A R\u00e1dosi","year":"2023","unstructured":"R\u00e1dosi, A., \u00c1grez, K., P\u00e1szthy, B., R\u00e9thelyi, J. M., Ulbert, I., & Bunford, N. (2023). Concurrent and prospective associations of reward response with affective and alcohol problems: ADHD-Related Differential Vulnerability. Journal of Youth and Adolescence. https:\/\/doi.org\/10.1007\/s10964-023-01794-7","journal-title":"Journal of Youth and Adolescence"},{"key":"1190_CR46","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.neuroimage.2014.12.006","volume":"107","author":"M Reuter","year":"2015","unstructured":"Reuter, M., Tisdall, M. D., Qureshi, A., Buckner, R. L., van der Kouwe, A. J., & Fischl, B. (2015). Head Motion during MRI Acquisition reduces Gray Matter volume and thickness estimates. Neuroimage, 107, 107. https:\/\/doi.org\/10.1016\/j.neuroimage.2014.12.006","journal-title":"Neuroimage"},{"key":"1190_CR47","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.neuroimage.2017.12.059","volume":"169","author":"AFG Rosen","year":"2018","unstructured":"Rosen, A. F. G., Roalf, D. R., Ruparel, K., Blake, J., Seelaus, K., Villa, L. P., Ciric, R., Cook, P. A., Davatzikos, C., Elliott, M. A., Garcia de La Garza, A., Gennatas, E. D., Quarmley, M., Schmitt, J. E., Shinohara, R. T., Tisdall, M. D., Craddock, R. C., Gur, R. E., Gur, R. C., & Satterthwaite, T. D. (2018). Quantitative assessment of structural image quality. Neuroimage, 169, 407\u2013418. https:\/\/doi.org\/10.1016\/j.neuroimage.2017.12.059","journal-title":"Neuroimage"},{"key":"1190_CR48","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaac.2016.05.027","author":"A Roy","year":"2016","unstructured":"Roy, A., Hechtman, L., Roy, A., Arnold, L. E., Sibley, M. H., Molina, B. S. G., Swanson, J. M., Howard, A. L., Vitiello, B., Severe, J. B., Jensen, P. S., Arnold, L. E., Hoagwood, K., Richters, J., Vereen, D., Hinshaw, S. P., Elliott, G. R., Wells, K. C., Epstein, J. N., & Stern, K. (2016). Childhood factors affecting persistence and desistence of Attention-Deficit\/Hyperactivity disorder symptoms in Adulthood: Results from the MTA. Journal of the American Academy of Child and Adolescent Psychiatry. https:\/\/doi.org\/10.1016\/j.jaac.2016.05.027","journal-title":"Journal of the American Academy of Child and Adolescent Psychiatry"},{"key":"1190_CR50","doi-asserted-by":"publisher","first-page":"e72904","DOI":"10.7554\/eLife.72904","volume":"11","author":"S Rutherford","year":"2022","unstructured":"Rutherford, S., Fraza, C., Dinga, R., Kia, S. M., Wolfers, T., Zabihi, M., Berthet, P., Worker, A., Verdi, S., Andrews, D., Han, L. K., Bayer, J. M., Dazzan, P., McGuire, P., Mocking, R. T., Schene, A., Sripada, C., Tso, I. F., Duval, E. R., & Marquand, A. F. (2022). Charting brain growth and aging at high spatial precision. eLife, 11, e72904. https:\/\/doi.org\/10.7554\/eLife.72904","journal-title":"eLife"},{"key":"1190_CR49","doi-asserted-by":"publisher","first-page":"e85082","DOI":"10.7554\/eLife.85082","volume":"12","author":"S Rutherford","year":"2023","unstructured":"Rutherford, S., Barkema, P., Tso, I. F., Sripada, C., Beckmann, C. F., Ruhe, H. G., & Marquand, A. F. (2023). Evidence for embracing normative modeling. eLife, 12, e85082. https:\/\/doi.org\/10.7554\/eLife.85082","journal-title":"eLife"},{"issue":"1","key":"1190_CR51","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1186\/s13052-023-01456-1","volume":"49","author":"N Salari","year":"2023","unstructured":"Salari, N., Ghasemi, H., Abdoli, N., Rahmani, A., Shiri, M. H., Hashemian, A. H., Akbari, H., & Mohammadi, M. (2023). The global prevalence of ADHD in children and adolescents: A systematic review and meta-analysis. Italian Journal of Pediatrics, 49(1), 48. https:\/\/doi.org\/10.1186\/s13052-023-01456-1","journal-title":"Italian Journal of Pediatrics"},{"key":"1190_CR52","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1177\/1087054720961828","volume":"26","author":"E Sciberras","year":"2022","unstructured":"Sciberras, E., Streatfeild, J., Ceccato, T., Pezzullo, L., Scott, J., Middeldorp, C., Hutchins, Paterson, R., Bellgrove, M., & Coghill, D. (2022). Social and economic costs of Attention-Deficit\/Hyperactivity disorder across the Lifespan. Journal of Attention Disorders, 26, 72\u201387.","journal-title":"Journal of Attention Disorders"},{"issue":"2","key":"1190_CR53","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1176\/appi.ajp.2010.10030385","volume":"168","author":"P Shaw","year":"2011","unstructured":"Shaw, P., Gilliam, M., Liverpool, M., Weddle, C., Malek, M., Sharp, W., Greenstein, D., Evans, A., Rapoport, J., & Giedd, J. (2011). Cortical development in typically developing children with symptoms of hyperactivity and impulsivity: Support for a dimensional view of attention deficit hyperactivity disorder. The American Journal of Psychiatry, 168(2), 143\u2013151. https:\/\/doi.org\/10.1176\/appi.ajp.2010.10030385","journal-title":"The American Journal of Psychiatry"},{"key":"1190_CR54","doi-asserted-by":"publisher","DOI":"10.1037\/a0019342","author":"AL Singh","year":"2010","unstructured":"Singh, A. L., & Waldman, I. D. (2010). The etiology of associations between negative emotionality and childhood externalizing disorders. Journal of Abnormal Psychology. https:\/\/doi.org\/10.1037\/a0019342","journal-title":"Journal of Abnormal Psychology"},{"issue":"7","key":"1190_CR55","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1016\/j.neubiorev.2003.08.005","volume":"27","author":"EJS Sonuga-Barke","year":"2003","unstructured":"Sonuga-Barke, E. J. S. (2003). The dual pathway model of AD\/HD: An elaboration of neuro-developmental characteristics. Neuroscience & Biobehavioral Reviews, 27(7), 593\u2013604. https:\/\/doi.org\/10.1016\/j.neubiorev.2003.08.005","journal-title":"Neuroscience & Biobehavioral Reviews"},{"issue":"4","key":"1190_CR56","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1097\/00004583-201004000-00009","volume":"49","author":"EJS Sonuga-Barke","year":"2010","unstructured":"Sonuga-Barke, E. J. S., Bitsakou, P., & Thompson, M. (2010). Beyond the dual pathway model: Evidence for the dissociation of timing, Inhibitory, and Delay-related impairments in Attention-Deficit\/Hyperactivity disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 49(4), 345\u2013355. https:\/\/doi.org\/10.1097\/00004583-201004000-00009","journal-title":"Journal of the American Academy of Child and Adolescent Psychiatry"},{"issue":"4","key":"1190_CR57","doi-asserted-by":"publisher","first-page":"1096","DOI":"10.3758\/BRM.42.4.1096","volume":"42","author":"G Stoet","year":"2010","unstructured":"Stoet, G. (2010). PsyToolkit: A software package for programming psychological experiments using Linux. Behavior Research Methods, 42(4), 1096\u20131104. https:\/\/doi.org\/10.3758\/BRM.42.4.1096","journal-title":"Behavior Research Methods"},{"issue":"1","key":"1190_CR58","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1177\/0098628316677643","volume":"44","author":"G Stoet","year":"2017","unstructured":"Stoet, G. (2017). PsyToolkit: A novel web-based method for running online questionnaires and reaction-time experiments. Teaching of Psychology, 44(1), 24\u201331. https:\/\/doi.org\/10.1177\/0098628316677643","journal-title":"Teaching of Psychology"},{"key":"1190_CR59","doi-asserted-by":"publisher","unstructured":"Tak\u00e1cs, M., T\u00f3th, B., Szal\u00e1rdy, O., & Bunford, N. (2023). Theta and alpha activity are differentially associated with physiological and rating scale measures of affective processing in adolescents with but not without ADHD. Development and Psychopathology, 1\u201316. https:\/\/doi.org\/10.1017\/S0954579423000639","DOI":"10.1017\/S0954579423000639"},{"issue":"4","key":"1190_CR60","doi-asserted-by":"publisher","first-page":"e994","DOI":"10.1542\/peds.2014-3482","volume":"135","author":"R Thomas","year":"2015","unstructured":"Thomas, R., Sanders, S., Doust, J., Beller, E., & Glasziou, P. (2015). Prevalence of Attention-Deficit\/Hyperactivity disorder: A systematic review and Meta-analysis. Pediatrics, 135(4), e994\u2013e1001. https:\/\/doi.org\/10.1542\/peds.2014-3482","journal-title":"Pediatrics"},{"issue":"12","key":"1190_CR61","doi-asserted-by":"publisher","first-page":"1361","DOI":"10.1016\/j.biopsych.2006.06.011","volume":"61","author":"EM Valera","year":"2007","unstructured":"Valera, E. M., Faraone, S. V., Murray, K. E., & Seidman, L. J. (2007). Meta-analysis of structural imaging findings in attention-deficit\/hyperactivity disorder. Biological Psychiatry, 61(12), 1361\u20131369. https:\/\/doi.org\/10.1016\/j.biopsych.2006.06.011","journal-title":"Biological Psychiatry"},{"issue":"6","key":"1190_CR62","doi-asserted-by":"publisher","first-page":"1042","DOI":"10.1177\/0013164410378093","volume":"70","author":"K Van Eck","year":"2010","unstructured":"Van Eck, K., Finney, S. J., & Evans, S. W. (2010). Parent report of ADHD symptoms of early adolescents: A confirmatory factor analysis of the disruptive Behavior disorders Scale. Educational & Psychological Measurement, 70(6), 1042\u20131059. https:\/\/doi.org\/10.1177\/0013164410378093","journal-title":"Educational & Psychological Measurement"},{"key":"1190_CR63","doi-asserted-by":"crossref","unstructured":"Wechsler, D. (2003). Wechsler intelligence scale for children\u2013Fourth Edition (WISC-IV). The Psychological Corporation.","DOI":"10.1037\/t15174-000"},{"key":"1190_CR64","doi-asserted-by":"crossref","unstructured":"Wechsler, D. (2008). Wechsler adult intelligence scale\u2013Fourth Edition (WAIS\u2013IV). APA PsycTests.","DOI":"10.1037\/t15169-000"},{"key":"1190_CR65","doi-asserted-by":"publisher","DOI":"10.1016\/S0191-8869(98)00273-6","author":"JD White","year":"1999","unstructured":"White, J. D. (1999). Personality, temperament and ADHD: A review of the literature. Personality and Individual Differences. https:\/\/doi.org\/10.1016\/S0191-8869(98)00273-6","journal-title":"Personality and Individual Differences"},{"key":"1190_CR66","unstructured":"Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain\u2014PubMed. (n.d.). Retrieved August 2, (2023). from https:\/\/pubmed.ncbi.nlm.nih.gov\/11832223\/"},{"key":"1190_CR67","doi-asserted-by":"publisher","DOI":"10.1111\/psyp.12512","author":"JR Yancey","year":"2016","unstructured":"Yancey, J. R., Venables, N. C., & Patrick, C. J. (2016). Psychoneurometric operationalization of threat sensitivity: Relations with clinical symptom and physiological response criteria. Psychophysiology. https:\/\/doi.org\/10.1111\/psyp.12512","journal-title":"Psychophysiology"},{"issue":"1","key":"1190_CR68","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/s0165-0173(02)00248-5","volume":"41","author":"DH Zald","year":"2003","unstructured":"Zald, D. H. (2003). The human amygdala and the emotional evaluation of sensory stimuli. Brain Research Brain Research Reviews, 41(1), 88\u2013123. https:\/\/doi.org\/10.1016\/s0165-0173(02)00248-5","journal-title":"Brain Research Brain Research Reviews"}],"container-title":["Research on Child and Adolescent Psychopathology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10802-024-01190-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10802-024-01190-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10802-024-01190-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T19:32:48Z","timestamp":1719862368000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10802-024-01190-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,14]]},"references-count":70,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["1190"],"URL":"https:\/\/doi.org\/10.1007\/s10802-024-01190-0","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2023.09.17.23295664","asserted-by":"object"}]},"ISSN":["2730-7166","2730-7174"],"issn-type":[{"value":"2730-7166","type":"print"},{"value":"2730-7174","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,14]]},"assertion":[{"value":"1 March 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 March 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"None of the Authors have any biomedical or financial conflicts of interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}