The ADHD Brain

Advances in neuroscience have shown that ADHD brains differ from non-ADHD brains structurally, functionally, and chemically. By integrating findings from imaging technologies; functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and Single-Photon Emission Computed Tomography (SPECT), alongside other research methods, scientists are able to demonstrate the distinct neurobiological landscape of ADHD.

Here are some sources for ADHD differences found in each imaging type:  MRIFMRI SPECTPETEEGMEGDTI

The ADHD Brain

Structural Differences

ADHD brains exhibit several structural differences, primarily involving the prefrontal cortex, cerebellum, and basal ganglia. These areas govern executive functions such as attention, planning, and impulse control.

  • Prefrontal Cortex: This region often shows reduced volume and activity in ADHD individuals, correlating with difficulties in self-regulation (Rubia et al., 2014).
  • Cerebellum: The cerebellum, crucial for motor control and coordination, is often smaller in ADHD individuals, potentially linking to hyperactivity symptoms (Kobel et al., 2010).
  • Basal Ganglia: Structural anomalies in the basal ganglia, involved in motor control and reward processing, are associated with the impulsivity and reward-seeking behaviours frequently observed in ADHD (Frodl & Skokauskas, 2012).

Modern imaging technologies have played a pivotal role in revealing how ADHD brains function and process information. Each technique offers unique insights:

Functional Magnetic Resonance Imaging (fMRI)

fMRI provides dynamic, high-resolution images of brain activity by measuring changes in blood flow. Key findings include:

  • Default Mode Network (DMN) Dysregulation: ADHD brains often fail to deactivate the DMN during tasks, resulting in lapses in focus (Castellanos & Proal, 2012).
  • Impaired Task-Specific Activation: Reduced activity in the prefrontal cortex during tasks requiring sustained attention highlights ADHD’s impact on executive functioning (Cortese et al., 2012).

Positron Emission Tomography (PET)

PET imaging measures metabolic activity and neurotransmitter function, offering biochemical insights:

  • Dopamine Dysregulation: ADHD brains exhibit abnormalities in dopamine transporter density, leading to impaired reward processing and attention regulation (Volkow et al., 2009).
  • Reduced Glucose Metabolism: Lower metabolic activity in the prefrontal cortex aligns with deficits in executive function (Zametkin et al., 1990).

Single-Photon Emission Computed Tomography (SPECT)

SPECT measures blood flow and activity across brain regions. Findings include:

  • Prefrontal Hypoperfusion: Decreased blood flow in the prefrontal cortex aligns with difficulties in impulse control (Amen et al., 1993).
  • Increased Limbic Activity: Hyperactivity in the limbic system, tied to emotional regulation, explains the emotional dysregulation seen in ADHD (Amen & Carmichael, 2017).

ADHD brains also differ in their connectivity and chemical processing:

  • Reduced Connectivity: fMRI studies show weaker connections between the prefrontal cortex and other brain regions, affecting task-switching and sustained attention (Konrad & Eickhoff, 2010).
  • Neurotransmitter Imbalances: PET and SPECT studies reveal altered dopamine and norepinephrine systems, crucial for focus and motivation (Faraone et al., 2015).

Although imaging studies often highlight deficits, ADHD brains also exhibit strengths:

  • Creativity and Divergent Thinking: Enhanced activity in certain neural networks supports out-of-the-box thinking and creativity (White & Shah, 2006).
  • Hyperfocus: While attention regulation is challenging, ADHD individuals can enter states of intense focus on tasks of interest, often excelling in areas they are passionate about.

References

  • Amen, D. G., et al. (1993). Decreased prefrontal cortex perfusion in ADHD: A SPECT study. Journal of Attention Disorders.
  • Castellanos, F. X., & Proal, E. (2012). Large-scale brain systems in ADHD: Beyond the prefrontal–striatal model. Trends in Cognitive Sciences, 16(1), 17-26.
  • Cortese, S., et al. (2012). Imaging the ADHD brain: A review of neuroimaging findings. Current Psychiatry Reports, 14(5), 568-578.
  • Faraone, S. V., et al. (2015). The world federation of ADHD international consensus statement. Neuroscience & Biobehavioral Reviews, 44, 212-229.
  • Frodl, T., & Skokauskas, N. (2012). Meta-analysis of structural brain abnormalities in ADHD. European Child & Adolescent Psychiatry, 21(8), 467-478.
  • Konrad, K., & Eickhoff, S. B. (2010). Is the ADHD brain wired differently? Neuroscience & Biobehavioral Reviews, 34(4), 585-592.
  • Volkow, N. D., et al. (2009). Evaluating dopamine transporter changes in ADHD using PET. JAMA Psychiatry, 66(9), 958-964.
  • White, H. A., & Shah, P. (2006). Uninhibited imaginations: Creativity in adults with ADHD. Personality and Individual Differences, 40(6), 1121-1131.
  • Zametkin, A. J., et al. (1990). Cerebral glucose metabolism in adults with hyperactivity of childhood onset. New England Journal of Medicine, 323(20), 1361-1366.
  • Norman, L. J., Sudre, G., Price, J., & Shaw, P. (2024). Subcortico-Cortical Dysconnectivity in ADHD: A Voxel-Wise Mega-Analysis Across Multiple Cohorts. American Journal of Psychiatry181(6), 553–562. https://doi.org/10.1176/appi.ajp.20230026
  • Berberat, J., Huggenberger, R., Montali, M. et al. Brain activation patterns in medicated versus medication-naïve adults with attention-deficit hyperactivity disorder during fMRI tasks of motor inhibition and cognitive switching. BMC Med Imaging 21, 53 (2021). https://doi.org/10.1186/s12880-021-00579-3
  • Amen, D, G., Henderson, T, A., Newberg, A., SPECT Functional Neuroimaging Distinguishes Adult Attention Deficit Hyperactivity Disorder From Healthy Controls in Big Data Imaging Cohorts, Front. Psychiatry , 24 November 2021, Sec. Neuroimaging Volume 12 – 2021 | https://doi.org/10.3389/fpsyt.2021.725788
  • Nussbaum, Nancy. (2012). ADHD and Female Specific Concerns. Journal of Attention Disorders. 16. 87-100. 10.1177/1087054711416909.
  • Loo, S. K., & Makeig, S. (2012). Clinical utility of EEG in attention-deficit/hyperactivity disorder: a research update. Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics9(3), 569–587. https://doi.org/10.1007/s13311-012-0131-z
  • Khadmaoui, A., Gómez, C., Poza, J., Bachiller, A., Fernández, A., Quintero, J., & Hornero, R. (2016). MEG Analysis of Neural Interactions in Attention-Deficit/Hyperactivity Disorder. Computational intelligence and neuroscience2016, 8450241. https://doi.org/10.1155/2016/8450241
  • van Ewijk, H., Heslenfeld, D. J., Zwiers, M. P., Buitelaar, J. K., & Oosterlaan, J. (2012). Diffusion tensor imaging in attention deficit/hyperactivity disorder: a systematic review and meta-analysis. Neuroscience and biobehavioral reviews36(4), 1093–1106. https://doi.org/10.1016/j.neubiorev.2012.01.003