Authors: Veronica du Plessis & Liv MaceAttention-deficit/hyperactivity disorder (ADHD) is a very well-known diagnosis, having garnered a lot of attention and research over time. Even so, most people hold the perspective of ADHD being purely hyperactive in nature, often overlooking the inattentive element of the neurodevelopmental disorder. Hyperactivity is more easily observable and more common in males than in females, while predominantly inattentive ADHD (ADHD-PI) is more common in females. In fact, the ratio for diagnosis between males and females is 4:1. This is due to the neglect of inattention as a presentation of ADHD, thus resulting in females being overlooked when it comes to ADHD diagnoses. Karley Dobronski, a college-age female, shared her personal story through a TEDTalk titled “Invisible struggle of ADHD in women and girls”. In this talk, she spoke of her own personal experience in which her ADHD was overlooked, until she was finally diagnosed in college. She had spent most of her life being treated for previously diagnosed depression and anxiety, feeling as though something was inherently wrong with her, and she was the reason behind her academic challenges. She noted how others recognized her symptoms but misattributed them as personality traits, labeling her as quiet, disorganized, careless, and airheaded. She discussed how her diagnosis of ADHD in college helped her recognize and accept her full, authentic self, in turn improving her self-esteem. Martin et al. (2024) further supported the observable gendered discrepancies in ADHD diagnoses, stating that females are diagnosed at a later age and often delayed in receiving ADHD stimulant medication. Furthermore, females were more likely to be diagnosed with co-occurring anxiety, depression, and other mental health diagnoses, often having been diagnosed before ever being considered for ADHD. Females were also more likely to receive antidepressant medication both at a younger age than males and before receiving a stimulant medication prescription (Martin et al., 2024). This aligns with points made by Dobronski, stating that the average age of ADHD diagnosis is seven in males and twelve in females. She also pointed out the tendency for females with ADHD to develop emotion-focused coping mechanisms, mood disorders, dysregulated eating, and higher rates of self-harm and suicide. These harrowing facts inspired our discussion, in which the validity of ADHD diagnostic criteria, the controversy between early and late diagnoses, and the debate between comorbidity of diagnoses or misdiagnoses were addressed. With the advent of co-occurring diagnoses being so prevalent in females with ADHD, the question arises whether these diagnoses are comorbid or perhaps the result of a misdiagnosis. The answer is not clear, as it depends on a multitude of factors. Historically, research on ADHD was founded on men, in turn dismissing female presentation due to lack of scientific inquiry on the topic. The consideration that biological predisposition to depression and anxiety is different from the neurodevelopmental nature of ADHD suggests that comorbidity is possible, if not likely. On the other hand, the advent of a misdiagnosis and living with unsupported ADHD could have a causal effect on depression and anxiety, either developing or heightening the presentation of the diagnosis due to added environmental stressors and the debilitating internalization of the symptoms. These effects push for the need of earlier diagnosis, as it could prevent further decline in mental health. However, the question of how early arises. In addressing this, one must recognize that a diagnosis is separate from an intervention. The ideal pathway is to begin with a diagnosis, followed by behavioral interventions and parental management training. Following this, medication can be introduced, slowly increasing dosage if needed while continuously reinforcing behavioral management techniques. Finally, one wonders what can be done to address and diminish this gendered discrepancy in ADHD diagnosis. We agreed that education is key. Approaching an ADHD diagnosis is most effective from a holistic and intersectional lens, considering all types of ADHD that may be present and understanding where symptoms interfere, especially contextually. By continuously raising awareness and increasing education, we can generate a new generation of competent care providers. References Dobronski, K. (2025, March). Invisible struggle of ADHD in women and girls [Video]. TED Conferences. https://youtu.be/Px_EPsMt71Y?si=vYVFVxzB-DQy6qpm Martin, J., Langley, K., Cooper, M., Rouquette, O. Y., John, A., Sayal, K., Ford, T., & Thapar, A. (2024). Sex differences in attention‐deficit hyperactivity disorder diagnosis and clinical care: A national study of population healthcare records in wales. Journal of Child Psychology and Psychiatry. https://doi.org/10.1111/jcpp.13987
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Authors: Wae Man Chan, Veronica du Plessis, & Liv MaceOur recent discussion focused on an article titled “Diagnostic Overshadowing: A Delayed Diagnosis of Autism Spectrum Disorder in a Child who is Deaf,” which highlighted the concern of how similar and overlapping traits between autism and hearing loss can lead to a delay in accurate diagnoses. When clinicians attribute behaviors to only hearing impairment, characteristics of autism can be overlooked, leading to the missed opportunity for early support and intervention.
Why Diagnostic Overshadowing Happens: Diagnostic overshadowing can occur when symptoms of a pre-existing diagnosis actually reflect a separate condition. In healthcare, this can often affect individuals that present complex symptoms, such as co-occurring developmental delays, seizures, or sensory impairments. Clinicians may focus more on the most urgent or visible symptoms, such as hearing loss or seizure activity, rather than evenly assessing all the symptoms. In addition, not all diagnostic tools are adapted for people with multiple disabilities. For instance, standard assessments for autism spectrum disorder (ASD) may not accurately consider those that may be deaf or use sign language, since many assume spoken communication is the norm. Social cues in sign language, such as facial expression and eye contact, may carry different meanings than in spoken language, yet these distinctions are often unaccounted for in standardized tools like the Autism Diagnostic Observation Schedule (ADOS). Overlapping Signs of Autism versus Hearing Loss: Some traits of ASD and children who are deaf or hard of hearing (DHH) can be similarly presented. For example, differences in prosody, the pattern of rhythm or melody of speech, are common in both groups. This means that an individual who is deaf or hard of hearing may verbally communicate using a “deaf accent,” which might be mistaken for a speech pattern consistent with autism. Traditional diagnostic tools present another barrier. Assessments like the ADOS were developed with the assumption that those being evaluated did not have any hearing issues. They rarely consider sign language, interpreters, or alternative forms of communication. This lack of adaptation can lead to inaccurate evaluations and contribute to a lack of understanding of varying forms of social communication. The Impact of a Delayed Diagnosis: A delayed diagnosis of autism can socially, academically, and emotionally affect a child in almost every aspect of life. Without the recognition of their autistic traits, a child may feel misunderstood when in reality they need accommodation and support. Early identification allows families and educators to personalize interventions, including sensory supports and structured learning environments, further supporting autistic children to succeed and feel understood. How to Move Toward Better Diagnosis and Care: To work on reducing diagnostic overshadowing, clinicians need more inclusive diagnostic tools and broader training. Assessments must be adapted to account for co-occurring conditions, especially when differences in communication can play a significant role. Collaborations between audiologists, psychologists, and educators will help contribute to an integrated and coordinated approach that assesses the child as a whole person rather than a collection of varying symptoms. Lastly, education is equally important as clinicians must be trained to recognize the diversity of neurodevelopmental changes and how they can be presented across a spectrum. Clinicians should remain curious, reflective, and open to learning. Ultimately, collaboration is key in leading to better outcomes for many individuals. References: Dang, Q.-C., Hoffman, M., & St. John, R. (2024). Diagnostic overshadowing: A delayed diagnosis of Autism Spectrum Disorder in a deaf child. Journal of Early Hearing Detection and Intervention, 9(1), 17–21. https://doi.org/10.26077/ed17-2a01 Authors: Cailee Nelson and Britney DonovanThis week the B-RAD lab compared how different neuroimaging modalities (e.g., electroencephalography, functional near-infrared spectroscopy) are inclusive of minoritized populations, particularly individuals with afro-textured hair. More specifically, our discussion was centered around a recorded webinar from NIRx, a leading functional near-infrared spectroscopy (fNIRS) company, that presented research findings from a study focused on improving inclusivity of individuals with afro-textured hair. fNIRS, like electroencephalography (EEG), situates a cap fitted with optodes over a participant’s head. Unlike EEG, however, fNIRS shines infrared light on the scalp which is absorbed by hemoglobin in the brain. Depending on the amount of light absorbed, researchers can determine how certain brain regions were activated during a task. As such, fNIRS data quality can be impacted by hair thickness and texture, hair color, and skin color. Therefore, individuals with thicker hair, afro-textured hair, and darker skin tones are excluded from fNIRS studies more often than individuals with thinner, lighter hair and lighter skin tones. The webinar first touched on how fNIRS research under-reports demographic information and reasons for excluding individuals. For example, many studies report excluding participants due to poor data quality which could be problematic if they are systematically excluding participants of color. Additionally, the webinar demonstrated how interventions like cornrowing hair can improve fNIRS inclusivity for individuals with afro-textured hair. As a group, we determined that an overall solution to improving inclusivity in fNIRS research and neuroscience research, more generally, is to design neuroimaging technology in a way that is inclusive of all races and ethnicities. However, given the number of resources it may take to improve technology, researchers should focus on shorter-term solutions they can immediately implement in their own lab (e.g., cornrowing hair, hiring hair specialists, compensating participants for hair care). While these shorter-term solutions may require researchers to extend the amount of time a participant is in a session and how they compensate participants, it is a necessary step toward repairing the rift between science and Black and other minority communities. These solutions will also allow researchers to include more representative samples in their studies—ultimately improving the quality of the science. |
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