Skip to main content
Log in

ADHD-related sex differences in frontal lobe white matter microstructure and associations with response control under conditions of varying cognitive load and motivational contingencies

  • Research
  • Published:
Brain Imaging and Behavior Aims and scope Submit manuscript

Abstract

Children with attention-deficit/hyperactivity disorder (ADHD) demonstrate reduced response inhibition, increased response time variability, and atypical frontal lobe white matter microstructure with emerging evidence of sex differences. This study aims to examine whether frontal lobe white matter microstructure is differentially impacted in ADHD by sex and whether this relates to Go/No-Go (GNG) task performance. Diffusion tensor imaging (DTI) from 187 children (8–12 years), including ADHD (n = 94) and typically developing controls (TD; n = 93). Participants completed three GNG tasks with varying cognitive demands and incentives (standard, cognitive, and motivational). Fractional anisotropy (FA) was examined as an index of white matter microstructure within bilateral frontal lobe regions of interest. Children with ADHD showed reduced FA in primary motor (M1) and supplementary motor area (SMA) regardless of sex. Sex-based dissociation for the effect of diagnosis was observed in medial orbitofrontal cortex (mOFC), with higher FA in girls with ADHD and lower FA in boys with ADHD. Both diagnosis and sex contributed to performance on measures of response inhibition and reaction time (RT) variability, with all children with ADHD demonstrating poorer performance on all GNG tasks, but boys with ADHD demonstrating more impulsivity on standard and motivational behavioral paradigms compared to girls with ADHD. Analyses revealed associations between reduced FA in M1, SMA, and mOFC and increased response inhibition and RT variability with some sex-based differences. These findings provide novel insights regarding the brain basis of ADHD and associated impairments in response inhibition and RT variability, and contribute to our understanding of sexual dimorphic behavioral outcomes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Data Availability

The datasets generated during and/or analyzed during the current study are available from the authors on reasonable request.

Code Availability

Not applicable.

References

  • Andersson, J. L. R., & Sotiropoulos, S. N. (2016). An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. Neuroimage, 125, 1063–1078. https://doi.org/10.1016/j.neuroimage.2015.10.019.

    Article  PubMed  Google Scholar 

  • Andersson, J. L. R., Skare, S., & Ashburner, J. (2003). How to correct susceptibility distortions in spin-echo echo-planar images: Application to diffusion tensor imaging. Neuroimage, 20(2), 870–888. https://doi.org/10.1016/S1053-8119(03)00336-7.

    Article  PubMed  Google Scholar 

  • Andersson, J. L. R., Graham, M. S., Zsoldos, E., & Sotiropoulos, S. N. (2016). Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images. Neuroimage, 141, 556–572. https://doi.org/10.1016/j.neuroimage.2016.06.058.

    Article  PubMed  Google Scholar 

  • Aoki, Y., Cortese, S., & Castellanos, F. X. (2017). Research Review: Diffusion tensor imaging studies of attention-deficit/hyperactivity disorder: meta‐analyses and reflections on head motion. Journal of Child Psychology and Psychiatry, 59(3), 193–202. https://doi.org/10.1111/jcpp.12778.

    Article  PubMed  Google Scholar 

  • Asato, M. R., Terwilliger, R., Woo, J., & Luna, B. (2010). White matter development in adolescence: A DTI study. Cerebral Cortex, 20(9), 2122–2131.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Bari, A., & Robbins, T. W. (2013). Inhibition and impulsivity: Behavioral and neural basis of response control. Progress in Neurobiology, 108(2013), 44–79. https://doi.org/10.1016/j.pneurobio.2013.06.005.

    Article  PubMed  Google Scholar 

  • Barkley, R. A. (1997). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121(1), 65.

    Article  PubMed  Google Scholar 

  • Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen-Berg, H., Nunes, R. G., Clare, S., Matthews, P. M., Brady, J. M., & Smith, S. M. (2003). Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magnetic Resonance in Medicine, 50(5), 1077–1088. https://doi.org/10.1002/mrm.10609.

    Article  CAS  PubMed  Google Scholar 

  • Behrens, T. E. J., Berg, J., Jbabdi, H., Rushworth, S.,, M. F. S., & Woolrich, M. W. (2007). Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? Neuroimage, 34(1), 144–155. https://doi.org/10.1016/j.neuroimage.2006.09.018.

  • Bitsko, R. H., Claussen, A. H., Lichstein, J., Black, L. I., Jones, S. E., Danielson, M. L., & Meyer, L. N. (2022). Mental health surveillance among children—United States, 2013–2019. MMWR Supplements, 71(2), 1–42. https://doi.org/10.15585/mmwr.su7102a1.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bush, G., Valera, E. M., & Seidman, L. J. (2005). Functional neuroimaging of attention-deficit/hyperactivity disorder: A review and suggested future directions. Biological Psychiatry, 57(11), 1273–1284. https://doi.org/10.1016/j.biopsych.2005.01.034.

    Article  PubMed  Google Scholar 

  • Castellanos, F. X., Sonuga-Barke, E. J., Scheres, A., Di Martino, A., Hyde, C., & Walters, J. R. (2005). Varieties of attention-deficit/hyperactivity disorder-related intra-individual variability. Biological Psychiatry, 57(11), 1416–1423. https://doi.org/10.1016/j.biopsych.2004.12.00.

    Article  PubMed  PubMed Central  Google Scholar 

  • Castellanos, F. X., Sonuga-Barke, E. J., Milham, M. P., & Tannock, R. (2006). Characterizing cognition in ADHD: Beyond executive dysfunction. Trends in Cognitive Sciences, 10(3), 117–123.

    Article  PubMed  Google Scholar 

  • Cole, W. R., Mostofsky, S. H., Larson, J. G., Denckla, M. B., & Mahone, E. M. (2008). Age-related changes in motor subtle signs among girls and boys with ADHD. Neurology, 71(19), 1514–1520.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Conners, C. K. (Conners’ Rating Scales - Revised. Published online 1997).

  • Conners, C. K. Conners, Third Edition (Conners-3). Published online 2008.

  • Cubillo, A., Halari, R., Smith, A., Taylor, E., & Rubia, K. (2012). A review of fronto-striatal and fronto-cortical brain abnormalities in children and adults with attention deficit hyperactivity disorder (ADHD) and new evidence for dysfunction in adults with ADHD during motivation and attention. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior, 48(2), 194–215. https://doi.org/10.1016/j.cortex.2011.04.007.

    Article  PubMed  Google Scholar 

  • Danielson, M. L., Holbrook, J. R., Bitsko, R. H., Newsome, K., Charania, S. N., McCord, R. F., & Blumberg, S. J. (2022). State-level estimates of the prevalence of parent-reported ADHD diagnosis and treatment among US children and adolescents, 2016 to 2019. Journal of Attention Disorders, 26(13), 1685–1697. https://doi.org/10.1177/10870547221099961.

    Article  PubMed  PubMed Central  Google Scholar 

  • De Bellis, M. D., Keshavan, M. S., Beers, S. R., Hall, J., Frustaci, K., Masalehdan, A., & Boring, A. M. (2001). Sex differences in brain maturation during childhood and adolescence. Cerebral Cortex, 11(6), 552–557.

    Article  PubMed  Google Scholar 

  • DeRonda, A., Zhao, Y., Seymour, K. E., Mostofsky, S. H., & Rosch, K. S. (2021). Distinct patterns of impaired cognitive control among boys and girls with ADHD Across Development. Research on Child and Adolescent Psychopathology, 49(7), 835–848.

    Article  PubMed  PubMed Central  Google Scholar 

  • Dirlikov, B., Rosch, K. S., Crocetti, D., Denckla, M. B., Mahone, E. M., & Mostofsky, S. H. (2015). Distinct frontal lobe morphology in girls and boys with ADHD. NeuroImage: Clinical, 7, 222–229. https://doi.org/10.1016/j.nicl.2014.12.010.

    Article  PubMed  Google Scholar 

  • DuPaul, G. J., Reid, R., Anastopoulos, A. D., Lambert, M. C., Watkins, M. W., & Power, T. J. (2016). Parent and teacher ratings of attention-deficit/hyperactivity disorder symptoms: Factor structure and normative data. Psychological Assessment, 28(2), 214. https://doi.org/10.1037/pas0000166.

    Article  PubMed  Google Scholar 

  • Gaddis, A., Rosch, K. S., Dirlikov, B., Crocetti, D., MacNeil, L., Barber, A. D., & Mostofsky, S. H. (2015). Motor overflow in children with attention-deficit/hyperactivity disorder is associated with decreased extent of neural activation in the motor cortex. Psychiatry Research: Neuroimaging, 233(3), 488–495.

    Article  Google Scholar 

  • Gaub, M., & Carlson, C. L. (1997). Gender differences in ADHD: A meta-analysis and critical review. Journal of the American Academy of Child & Adolescent Psychiatry, 36(8), 1036–1045.

    Article  CAS  Google Scholar 

  • 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.

    Article  CAS  PubMed  Google Scholar 

  • Gilbert, D. L., Isaacs, K. M., Augusta, M., Macneil, L. K., & Mostofsky, S. H. (2011). Motor cortex inhibition: A marker of ADHD behavior and motor development in children. Neurology, 76(7), 615–621.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Gumus, K., Keating, B., Poser, B. A., Armstrong, B., Chang, L., Maclaren, J., & Ernst, T. (2014). Prevention of motion-induced signal loss in diffusion‐weighted echo‐planar imaging by dynamic restoration of gradient moments. Magnetic Resonance in Medicine, 71(6), 2006–2013. https://doi.org/10.1002/mrm.24857.

    Article  PubMed  Google Scholar 

  • Haber, S. N. (2003). The primate basal ganglia: Parallel and integrative networks. Journal of Chemical Neuroanatomy, 26(4), 317–330.

    Article  PubMed  Google Scholar 

  • Haber, S. N. (2016). Corticostriatal circuitry. Dialogues in Clinical Neuroscience, 18(1), 7–21.

    Article  PubMed  PubMed Central  Google Scholar 

  • Hasson, R., & Fine, J. G. (2012). Gender differences among children with ADHD on continuous performance tests: A meta-analytic review. Journal of Attention Disorders, 16(3), 190–198.

    Article  PubMed  Google Scholar 

  • Jacobson, L. A., Peterson, D. J., Rosch, K. S., Crocetti, D., Mori, S., & Mostofsky, S. H. (2015). Sex-based dissociation of white matter microstructure in children with attention-deficit/hyperactivity disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 54(11), 938–946.

    Article  Google Scholar 

  • Karalunas, S. L., Geurts, H. M., Konrad, K., Bender, S., & Nigg, J. T. (2014). Annual research review: Reaction time variability in ADHD and autism spectrum disorders: Measurement and mechanisms of a proposed trans-diagnostic phenotype. Journal of Child Psychology and Psychiatry, 55(6), 685–710. https://doi.org/10.1111/jcpp.12217.

    Article  PubMed  Google Scholar 

  • Kaso, A., & Ernst, T. (2021). Motion-insensitive diffusion imaging of the brain using optical tracking and dynamic sequence updates. Magnetic Resonance in Medicine, 86(2), 926–934. https://doi.org/10.1002/mrm.28747.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Kaufman, J., Birmaher, B., Brent, D., Rao, U. M. A., 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. https://doi.org/10.1097/00004583-199707000-00021.

    Article  CAS  Google Scholar 

  • Kofler, M. J., Rapport, M. D., Sarver, D. E., Raiker, J. S., Orban, S. A., Friedman, L. M., & Kolomeyer, E. G. (2013). Reaction time variability in ADHD: A meta-analytic review of 319 studies. Clinical Psychology Review, 33(6), 795–811. https://doi.org/10.1016/j.cpr.2013.06.001.

    Article  PubMed  Google Scholar 

  • Kofler, M. J., Irwin, L. N., Soto, E. F., Groves, N. B., Harmon, S. L., & Sarver, D. E. (2019). Executive functioning heterogeneity in pediatric ADHD. Journal of Abnormal Child Psychology, 47(2), 273–286. https://doi.org/10.1007/s10802-018-0438-2.

    Article  PubMed  PubMed Central  Google Scholar 

  • Konrad, K., & Eickhoff, S. B. (2010). Is the ADHD brain wired differently? A review on structural and functional connectivity in attention deficit hyperactivity disorder. Human Brain Mapping, 31(6), 904–916.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lacouture, Y., & Cousineau, D. (2008). How to use MATLAB to fit the ex-gaussian and other probability functions to a distribution of response times. Tutorials in Quantitative Methods for Psychology, 4(1), 35–45.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Lenroot, R. K., Gogtay, N., Greenstein, D. K., Wells, E. M., Wallace, G. L., Clasen, L. S., & Giedd, J. N. (2007). Sexual dimorphism of brain developmental trajectories during childhood and adolescence. Neuroimage, 36(4), 1065–1073.

    Article  PubMed  Google Scholar 

  • Leth-Steensen, C., Elbaz, Z. K., & Douglas, V. I. (2000). Mean response times, variability, and skew in the responding of ADHD children: A response time distributional approach. Acta Psychologica, 104(2), 167–190. https://doi.org/10.1016/S0001-6918(00)00019-6.

    Article  CAS  PubMed  Google Scholar 

  • Lijffijt, M., Kenemans, J. L., Verbaten, M. N., & van Engeland, H. (2005). A meta-analytic review of stopping performance in attention-deficit/hyperactivity disorder: Deficient inhibitory motor control? Journal of Abnormal Psychology, 114(2), 216. https://doi.org/10.1037/0021-843X.114.2.216.

    Article  PubMed  Google Scholar 

  • Loyer Carbonneau, M., Demers, M., Bigras, M., & Guay, M. C. (2021). Meta-analysis of sex differences in ADHD symptoms and associated cognitive deficits. Journal of Attention Disorders, 25(12), 1640–1656.

    Article  PubMed  Google Scholar 

  • MacNeil, L. K., Xavier, P., Garvey, M. A., Gilbert, D. L., Ranta, M. E., Denckla, M. B., & Mostofsky, S. H. (2011). Quantifying excessive mirror overflow in children with attention-deficit/hyperactivity disorder. Neurology, 76(7), 622–628.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Mahone, E. M., Ranta, M. E., Crocetti, D., O’Brien, J., Kaufmann, W. E., Denckla, M. B., & Mostofsky, S. H. (2011). Comprehensive examination of frontal regions in boys and girls with attention-deficit/hyperactivity disorder. Journal of the International Neuropsychological Society, 17(6), 1047–1057.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mostofsky, S. H., Cooper, K. L., Kates, W. R., Denckla, M. B., & Kaufmann, W. E. (2002). Smaller prefrontal and premotor volumes in boys with attention-deficit/hyperactivity disorder. Biological Psychiatry, 52(8), 785–794.

    Article  PubMed  Google Scholar 

  • Mostofsky, S. H., Newschaffer, C. J., & Denckla, M. B. (2003). Overflow movements predict impaired response inhibition in children with ADHD. Perceptual and Motor Skills, 97(3 Pt 2), 1315–1331.

    Article  PubMed  Google Scholar 

  • Mostofsky, S. H., Rimrodt, S. L., Schafer, J. G., Boyce, A., Goldberg, M. C., Pekar, J. J., & Denckla, M. B. (2006). Atypical motor and sensory cortex activation in attention-deficit/hyperactivity disorder: A functional magnetic resonance imaging study of simple sequential finger tapping. Biological Psychiatry, 59(1), 48–56.

    Article  PubMed  Google Scholar 

  • Nigg, J. T. (2005). Neuropsychologic theory and findings in attention-deficit/hyperactivity disorder: The state of the field and salient challenges for the coming decade. Biological Psychiatry, 57(11), 1424–1435.

    Article  PubMed  Google Scholar 

  • Nigg, J. T., Karalunas, S. L., Feczko, E., & Fair, D. A. (2020). Toward a revised nosology for attention-deficit/hyperactivity disorder heterogeneity. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 5(8), 726–737. https://doi.org/10.1016/j.bpsc.2020.02.005.

    Article  PubMed  Google Scholar 

  • Nikolaidis, A., He, X., Pekar, J., Rosch, K., & Mostofsky, S. H. (2022). Frontal corticostriatal functional connectivity reveals task positive and negative network dysregulation in relation to ADHD, sex, and inhibitory control. Developmental Cognitive Neuroscience, 54, 101101. https://doi.org/10.1016/j.dcn.2022.101101.

    Article  PubMed  PubMed Central  Google Scholar 

  • O’Brien, J. W., Dowell, L. R., Mostofsky, S. H., Denckla, M. B., & Mahone, E. M. (2010). Neuropsychological profile of executive function in girls with attention-deficit/hyperactivity disorder. Archives of Clinical Neuropsychology, 25(7), 656–670.

    Article  PubMed  PubMed Central  Google Scholar 

  • 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.

    Article  PubMed  Google Scholar 

  • Ranta, M. E., Crocetti, D., Clauss, J. A., Kraut, M. A., Mostofsky, S. H., & Kaufmann, W. E. (2009). Manual MRI parcellation of the frontal lobe. Psychiatry Research: Neuroimaging, 172(2), 147–154.

    Article  Google Scholar 

  • Ranta, M. E., Chen, M., Crocetti, D., Prince, J. L., Subramaniam, K., Fischl, B., & Mostofsky, S. H. (2014). Automated MRI parcellation of the frontal lobe. Human Brain Mapping, 35(5), 2009–2026.

    Article  PubMed  Google Scholar 

  • Rapport, M. D., Alderson, R. M., Kofler, M. J., Sarver, D. E., Bolden, J., & Sims, V. (2008). Working memory deficits in boys with attention-deficit/hyperactivity disorder (ADHD): The contribution of central executive and subsystem processes. Journal of Abnormal Child Psychology, 36(6), 825–837. https://doi.org/10.1007/s10802-010-9387-0.

    Article  PubMed  Google Scholar 

  • Reich, W. (2000). Diagnostic interview for children and adolescents (DICA). Journal of the American Academy of Child & Adolescent Psychiatry, 39(1), 59–66. https://doi.org/10.1097/00004583-200001000-00017.

    Article  CAS  Google Scholar 

  • Roalf, D. R., Quarmley, M., Elliott, M. A., Satterthwaite, T. D., Vandekar, S. N., Ruparel, K., Gennatas, E. D., Calkins, M. E., Moore, T. M., Hopson, R., Prabhakaran, K., Jackson, C. T., Verma, R., Hakonarson, H., Gur, R. C., & Gur, R. E. (2016). The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort. Neuroimage, 125, 903–919. https://doi.org/10.1016/j.neuroimage.2015.10.068.

    Article  PubMed  Google Scholar 

  • Rosch, K. S., & Mostofsky, S. H. (2016). Increased delay discounting on a novel real-time task among girls, but not boys, with ADHD. Journal of the International Neuropsychological Society, 22(1), 12–23. https://doi.org/10.1017/S1355617715001071.

    Article  PubMed  Google Scholar 

  • Rosch, K. S., Dirlikov, B., & Mostofsky, S. H. (2015). Reduced intrasubject variability with reinforcement in boys, but not girls, with ADHD: Associations with prefrontal anatomy. Biological Psychology, 110, 12–23. https://doi.org/10.1016/j.biopsycho.2015.06.010.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rosch, K. S., Crocetti, D., Hirabayashi, K., Denckla, M. B., Mostofsky, S. H., & Mahone, E. M. (2018a). Reduced subcortical volumes among preschool-age girls and boys with ADHD. Psychiatry Research: Neuroimaging, 271, 67–74. https://doi.org/10.1016/j.pscychresns.2017.10.013.

    Article  PubMed  Google Scholar 

  • Rosch, K. S., Mostofsky, S. H., & Nebel, M. B. (2018b). ADHD-related sex differences in fronto-subcortical intrinsic functional connectivity and associations with delay discounting. Journal of Neurodevelopmental Disorders, 10(1), 1–14.

    Article  Google Scholar 

  • Rucklidge, J. J. (2010). Gender differences in attention-deficit/hyperactivity disorder. Psychiatric Clinics, 33(2), 357–373.

    PubMed  Google Scholar 

  • Sergeant, J. A. (2005). Modeling attention-deficit/hyperactivity disorder: A critical appraisal of the cognitive-energetic model. Biological Psychiatry, 57(11), 1248–1255. https://doi.org/10.1016/j.biopsych.2004.09.010.

    Article  PubMed  Google Scholar 

  • Seymour, K. E., Mostofsky, S. H., & Rosch, K. S. (2016). Cognitive load differentially impacts response control in girls and boys with ADHD. Journal of Abnormal Child Psychology, 44(1), 141–154. https://doi.org/10.1007/s10802-015-9976-z.

    Article  PubMed  PubMed Central  Google Scholar 

  • Seymour, K. E., Tang, X., Crocetti, D., Mostofsky, S. H., Miller, M. I., & Rosch, K. S. (2017). Anomalous subcortical morphology in boys, but not girls, with ADHD compared to typically developing controls and correlates with emotion dysregulation. Psychiatry Research: Neuroimaging, 261, 20–28. https://doi.org/10.1016/j.pscychresns.2017.01.002.

    Article  PubMed  Google Scholar 

  • Shaw, P., Stringaris, A., Nigg, J., & Leibenluft, E. (2014). Emotion dysregulation in attention deficit hyperactivity disorder. American Journal of Psychiatry, 171(3), 276–293.

    Article  PubMed  Google Scholar 

  • Shiels Rosch, K., Dirlikov, B., & Mostofsky, S. H. (2013). Increased intrasubject variability in boys with ADHD across tests of motor and cognitive control. Journal of Abnormal Child Psychology, 41(3), 485–495.

    Article  PubMed  Google Scholar 

  • Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., Niazy, R. K., Saunders, J., Vickers, J., Zhang, Y., De Stefano, N., Brady, J. M., & Matthews, P. M. (2004). Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage, 23, S208–S219. https://doi.org/10.1016/j.neuroimage.2004.07.051.

    Article  PubMed  Google Scholar 

  • Sonuga-Barke, E. J., 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), 345–355.

    PubMed  Google Scholar 

  • Spencer, T. J., Brown, A., Seidman, L. J., Valera, E. M., Makris, N., Lomedico, A., & Biederman, J. (2013). Effect of psychostimulants on brain structure and function in ADHD: A qualitative literature review of magnetic resonance imaging-based neuroimaging studies. The Journal of Clinical Psychiatry, 74(9), 902–912.

    Article  PubMed  PubMed Central  Google Scholar 

  • Stevens, M. C., Pearlson, G. D., Calhoun, V. D., & Bessette, K. L. (2017). Functional neuroimaging evidence for distinct neurobiological pathways in Attention-Deficit/Hyperactivity disorder. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3(8), 675–685.

    PubMed  Google Scholar 

  • Tamm, L., Narad, M. E., Antonini, T. N., O’Brien, K. M., Hawk, L. W., & Epstein, J. N. (2012). Reaction time variability in ADHD: A review. Neurotherapeutics, 9(3), 500–508. https://doi.org/10.1007/s13311-012-0138-5.

    Article  PubMed  PubMed Central  Google Scholar 

  • Tao, R., Fletcher, P. T., Gerber, S., & Whitaker, R. T. (2009). A Variational Image-Based Approach to the Correction of Susceptibility Artifacts in the Alignment of Diffusion Weighted and Structural MRI. Information Processing in Medical Imaging: Proceedings of the … Conference, 21, 664–675.

  • Townsend, L., Kobak, K., Kearney, C., Milham, M., Andreotti, C., Escalera, J., & Kaufman, J. (2020). Development of three web-based computerized versions of the kiddie schedule for affective disorders and schizophrenia child psychiatric diagnostic interview: Preliminary validity data. Journal of the American Academy of Child & Adolescent Psychiatry, 59(2), 309–325. https://doi.org/10.1016/j.jaac.2019.05.009.

    Article  Google Scholar 

  • Vaurio, R. G., Simmonds, D. J., & Mostofsky, S. H. (2009). Increased intra-individual reaction time variability in attention-deficit/hyperactivity disorder across response inhibition tasks with different cognitive demands. Neuropsychologia, 47(12), 2389–2396. https://doi.org/10.1016/j.neuropsychologia.2009.01.022.

    Article  PubMed  PubMed Central  Google Scholar 

  • Wechsler, D. (2002). Wechsler individual achievement test, second edition. Psychological Corp.

  • Wechsler, D. (2003). Wechsler Intelligence Scale for Children, Fourth edition. Psychological Corp.

  • Wechsler, D. (2009). Wechsler individual achievement test, third edition. Psychological Corp.

  • Wechsler, D. (2014). Wechsler Intelligence Scale for Children, Fifth Edition. NCS Pearson.

  • Willcutt, E. G., Doyle, A. E., Nigg, J. T., Faraone, S. V., & Pennington, B. F. (2005). Validity of the executive function theory of attention-deficit/hyperactivity disorder: A meta-analytic review. Biological Psychiatry, 57(11), 1336–1346.

    Article  PubMed  Google Scholar 

  • Wodka, E. L., Mahone, M., Blankner, E., Larson, J. G. G., Fotedar, J. C., Denckla, S., M. B., & Mostofsky, S. H. (2007). Evidence that response inhibition is a primary deficit in ADHD. Journal of Clinical and Experimental Neuropsychology, 29(4), 345–356. https://doi.org/10.1080/13803390600678046.

    Article  PubMed  Google Scholar 

  • Wu, M., Chang, L. C., Walker, L., Lemaitre, H., Barnett, A. S., Marenco, S., & Pierpaoli, C. (2008). Comparison of EPI Distortion Correction Methods in Diffusion Tensor MRI Using a Novel Framework. Medical Image Computing and Computer-Assisted Intervention: MICCAI … International Conference on Medical Image Computing and Computer-Assisted Intervention, 11(Pt 2), 321–329.

  • Yendiki, A., Koldewyn, K., Kakunoori, S., Kanwisher, N., & Fischl, B. (2014). Spurious group differences due to head motion in a diffusion MRI study. Neuroimage, 88, 79–90. https://doi.org/10.1016/j.neuroimage.2013.11.027.

    Article  PubMed  Google Scholar 

  • Zhao, Y., Nebel, M. B., Caffo, B. S., Mostofsky, S. H., & Rosch, K. S. (2022). Beyond massive univariate tests: Covariance regression reveals complex patterns of functional connectivity related to attention-deficit/hyperactivity disorder, age, sex, and response control. Biological Psychiatry Global Open Science, 2(1), 8–16. https://doi.org/10.1016/j.bpsgos.2021.06.003.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to thank the children and parents who participated in this research.

Funding

This work was supported by the NIH with grants awarded to KSR (K23-MH101322, R03-MH119457), SHM (R01-MH078160 and R01-MH085328), and P50HD103538. The MRI equipment in this study was funded by NIH grant 1S10OD021648. These sponsors had no role in the study design, collection of data, analysis of data, or interpretation of data.

Author information

Authors and Affiliations

Authors

Contributions

Author contributions included conception and study design (DC, SHW, KSR), data collection or acquisition (PD, DC, TP, JR), statistical analysis (DC, SHM, KSR), interpretation of results (RKP, DC, SHM, KSR), drafting the manuscript work or revising it critically for important intellectual content (RKP, DC, SHM, KSR) and approval of final version to be published and agreement to be accountable for the integrity and accuracy of all aspects of the work (All authors).

Corresponding author

Correspondence to Rachel K. Peterson.

Ethics declarations

Competing interests

The authors have no conflicts of interest to disclose.

Ethics approval

This study was approved by the Johns Hopkins Institutional Review Board.

Consent to participate

All study participants provided written informed consent prior to participation.

Consent for publication

All authors consented to this paper to be published in Brain imaging and behaviors.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Peterson, R.K., Duvall, P., Crocetti, D. et al. ADHD-related sex differences in frontal lobe white matter microstructure and associations with response control under conditions of varying cognitive load and motivational contingencies. Brain Imaging and Behavior 17, 674–688 (2023). https://doi.org/10.1007/s11682-023-00795-1

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11682-023-00795-1

Keywords

Navigation