Neurodivergent masking fatigue and biological cost of camouflaging identity and symptoms

The Biological Cost of Masking: A Functional View

ByRohan Smith

The Biological Cost of Masking: A Bottom-Up Functional Approach

Author: Rohan Smith | Functional Medicine Practitioner | Adelaide, SA

Quick Answer

Neurodivergent masking is associated with increased allostatic load, the cumulative physiological burden of chronic stress first described by Bruce McEwen. Research published in the Journal of Autism and Developmental Disorders links sustained camouflaging to higher rates of anxiety, depression, and autistic burnout. Because masking relies on top-down executive control via the prefrontal cortex, it may contribute to HPA axis dysregulation, neuro-inflammatory signalling, and mitochondrial stress over time (1, 2, 3, 15).

At a Glance

  • Masking involves sustained prefrontal cortex activation and is associated with increased allostatic load, as described in McEwen’s stress-adaptation model (7).
  • Prolonged camouflaging may contribute to HPA axis dysregulation, altered diurnal cortisol patterns, and reduced vagal tone (12).
  • Robert Naviaux’s Cell Danger Response model suggests chronic stress may shift mitochondrial function from energy production toward cellular defence (3).
  • Functional testing including organic acids testing and cortisol rhythm assessment can help map the physiological impact of masking-related fatigue.
  • A bottom-up functional medicine approach prioritises cellular nutrition, autonomic regulation, and metabolic efficiency before behavioural intervention.
  • Gradual unmasking supported by physiological resilience-building is considered safer than abrupt behavioural change (2, 12).

The “Bottom-Up” Clinical Perspective

Functional medicine applies a bottom-up approach that addresses the biological foundations supporting cognitive and emotional regulation, rather than targeting behavioural adaptation alone. When mitochondrial energy production is inefficient or the gut-brain axis is inflamed, the energetic and cognitive cost of sustained masking becomes increasingly difficult to maintain (4, 10). In clinical practice, this approach prioritises three key domains:

Domain Focus Key Considerations
Cellular Foundations Micronutrient availability for neurotransmitter synthesis Zinc, pyridoxal-5-phosphate (active vitamin B6), and magnesium are involved in GABAergic and serotonergic pathway modulation (8, 11)
Autonomic Regulation Vagal tone and autonomic flexibility Interventions informed by Stephen Porges’ Polyvagal Theory may help shift the nervous system away from persistent sympathetic activation associated with social hyper-vigilance (12, 14)
Metabolic Efficiency Reducing metabolic strain from prolonged cognitive effort Addressing patterns of metabolic strain within prefrontal regulatory networks and the anterior cingulate cortex (5, 9)

The Consequences: From Social Camouflaging to Burnout

Research by Dora Raymaker and colleagues at Portland State University identified autistic burnout as a distinct phenomenon characterised by chronic exhaustion, loss of skills, and reduced tolerance to stimulus (2). While masking may provide short-term social safety or occupational functioning, prolonged reliance on camouflaging behaviours is associated with several downstream physiological patterns:

Mitochondrial Stress Patterns

Chronic stress signalling may activate protective metabolic responses described in Robert Naviaux’s Cell Danger Response (CDR) model, published in Mitochondrion (2014). In CDR, cellular resources are preferentially allocated toward defence rather than optimal adenosine triphosphate (ATP) output (3, 13). This framework remains theoretical but is relevant in chronic stress states commonly seen in people seeking support for masking-related fatigue.

Neuroendocrine Strain

Persistent sympathetic dominance is associated with altered diurnal cortisol patterns and reduced stress resilience via the hypothalamic-pituitary-adrenal (HPA) axis. Bruce McEwen’s work at Rockefeller University demonstrated that chronic allostatic overload affects hippocampal volume and prefrontal cortex function, rather than causing irreversible adrenal failure (7, 12).

Identity and Cognitive Load

Laura Hull and colleagues at University College London found that the sustained cognitive effort required to maintain masking behaviours may reduce available capacity for self-reflection and interoceptive awareness, contributing to emotional exhaustion and identity strain (1, 6). Eilidh Cage’s research further contextualised the reasons and costs of camouflaging across social settings.

The Functional Medicine Edge: Assessing the Physiological Impact

Masking itself cannot be directly measured through laboratory testing. Functional medicine assessment instead focuses on downstream physiological patterns commonly associated with prolonged stress and burnout. When individuals report masking-related fatigue, evaluation may include the following approaches:

Assessment What It Measures Clinical Relevance to Masking
Organic Acids Testing Metabolic by-products of dopamine, serotonin, and mitochondrial pathways The Mosaic Diagnostics OAT can reveal patterns of neurotransmitter metabolite imbalance influenced by chronic stress (10, 15)
Cortisol Rhythm Assessment Diurnal cortisol patterns via salivary or dried urine testing (e.g., DUTCH test) Identifies adaptive or maladaptive HPA axis stress-response signalling patterns
Gut-Brain Axis Integrity Intestinal permeability markers and microbiome composition Gut-derived inflammatory signalling (e.g., lipopolysaccharide translocation) can contribute to sensory sensitivity and neuro-immune activation within the gut-brain axis, as described by John Cryan and colleagues (14)

Next Steps

  1. Identify your masking patterns: Begin noticing when you are suppressing natural responses or expending significant energy on social performance. Awareness is the first step toward reducing unnecessary load.
  2. Assess physiological impact: If masking fatigue is persistent, consider functional testing to map stress-axis regulation, neurotransmitter metabolite patterns, and gut-brain axis integrity.
  3. Build a gradual unmasking plan: Work with a neuro-affirming practitioner to reduce physiological load through targeted nutrient support, autonomic regulation strategies, and environmental adjustments.

Frequently Asked Questions

Is masking always a conscious choice?
No. For many neurodivergent individuals, masking develops as an automated protective strategy, often originating in childhood to reduce social threat or exclusion. Laura Hull’s 2017 study in the Journal of Autism and Developmental Disorders found that camouflaging often becomes so ingrained that individuals may not recognise they are doing it (1, 6).
How do I begin unmasking safely?
Unmasking is best approached as a gradual process of nervous system regulation, beginning with sensory safety, energy restoration, and physiological resilience rather than abrupt behavioural change (2, 12). This often overlaps with broader approaches to neurobiological stress regulation.
Can neurotypical individuals experience masking fatigue?
Yes. Although neurodivergent individuals may experience a higher neurological burden, anyone engaged in sustained self-suppression may accumulate allostatic load and burnout risk over time. McEwen’s allostatic load model applies broadly to chronic stress states regardless of neurotype (7, 15).

Key Insights

  • Masking is associated with increased energetic and cognitive demand via prefrontal cortex and anterior cingulate cortex activation, rather than proven ATP depletion (5, 9)
  • A bottom-up approach prioritises physiological regulation through micronutrient support and autonomic nervous system balance to support mental capacity (4, 11)
  • Chronic camouflaging is increasingly recognised as a contributor to autistic burnout and persistent fatigue patterns in research by Raymaker et al. and Sinclair et al. (2, 13)
  • Functional testing including organic acids, cortisol rhythm assessment, and gut permeability markers helps map biological stress responses, informing personalised recovery strategies

Citable Takeaways

  1. Neurodivergent masking is associated with increased allostatic load and higher rates of anxiety, depression, and autistic burnout, according to research by Hull et al. (2017) and Raymaker et al. (2020) published in the Journal of Autism and Developmental Disorders and Autism in Adulthood.
  2. Robert Naviaux’s Cell Danger Response model, published in Mitochondrion (2014), proposes that chronic stress may shift mitochondrial function from energy production toward cellular defence, a mechanism potentially relevant to masking-related fatigue.
  3. Bruce McEwen’s allostatic load framework demonstrates that chronic stress affects hippocampal volume and prefrontal cortex function, with implications for individuals sustaining prolonged camouflaging behaviours (McEwen, 2007, Physiological Reviews).
  4. Stephen Porges’ Polyvagal Theory informs autonomic regulation interventions that may help shift the nervous system away from the persistent sympathetic activation associated with social hyper-vigilance in masking (Porges, 2007, Biological Psychology).
  5. Functional testing including organic acids testing (Mosaic Diagnostics OAT), salivary cortisol rhythm assessment, and gut permeability markers can help clinicians map the downstream physiological impact of prolonged masking and inform targeted recovery strategies.
  6. John Cryan and colleagues’ comprehensive review in Physiological Reviews (2019) established that gut-derived inflammatory signalling via the microbiota-gut-brain axis can contribute to sensory sensitivity and neuro-immune activation relevant to masking burden.

Support Your Authentic Self

Rebuilding energy begins with understanding the physiological toll of prolonged adaptation. At Elemental Health and Nutrition, care is grounded in neuro-affirming principles and a bottom-up functional approach to burnout recovery. When masking-related exhaustion affects health, targeted physiological assessment can help clarify appropriate next steps.

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References

  1. Hull L et al. “Putting on my best normal”: social camouflaging in adults on the autism spectrum. J Autism Dev Disord. 2017 Aug;47(8):2519-2534. https://doi.org/10.1007/s10803-017-3166-5
  2. Raymaker DM et al. “Having All of the Words but None of the Words”: Autistic burnout in adult autistic people. Autism Adulthood. 2020 Mar 1;2(1):35-46. https://doi.org/10.1089/aut.2019.0023
  3. Naviaux RK. Metabolic features of the cell danger response. Mitochondrion. 2014 May;16:7-17. https://doi.org/10.1016/j.mito.2013.08.006
  4. Lord C et al. Autism spectrum disorder. Lancet. 2020 Mar 14;395(10227):899-911. https://doi.org/10.1016/S0140-6736(19)33018-8
  5. Miller D et al. The costs of camouflaging autism: the relationship between camouflaging, mental health, and burnout in autistic adults. J Autism Dev Disord. 2021 Jun;51(6):1891-1904. https://doi.org/10.1007/s10803-020-04644-0
  6. Cage E et al. Understanding the reasons, contexts and costs of camouflaging for autistic adults. J Autism Dev Disord. 2019 May;49(5):1899-1911. https://doi.org/10.1007/s10803-018-03878-x
  7. McEwen BS. Physiology and neurobiology of stress and adaptation: central role of the brain. Physiol Rev. 2007 Jul;87(3):873-904. https://doi.org/10.1152/physrev.00041.2006
  8. Bjorklund G et al. The role of magnesium in autism spectrum disorder: a systematic review. Biol Trace Elem Res. 2020 Jul;196(1):1-11. https://doi.org/10.1007/s12011-019-01959-9
  9. Gaigg SB. The physiological correlates of clinical symptoms in autism spectrum disorder. Res Autism Spectr Disord. 2012 Jul;6(3):1025-1033. https://doi.org/10.1016/j.rasd.2012.02.003
  10. Rose S et al. Mitochondrial dysfunction in autism spectrum disorder: unique abnormalities and targeted treatments. Semin Pediatr Neurol. 2020 Sep;35:100829. https://doi.org/10.1016/j.spen.2020.100829
  11. Hyman SL et al. Identification, evaluation, and management of children with autism spectrum disorder. Pediatrics. 2020 Jan;145(1):e20193447. https://doi.org/10.1542/peds.2019-3447
  12. Porges SW. The polyvagal perspective. Biol Psychol. 2007 Feb;74(2):116-43. https://doi.org/10.1016/j.biopsycho.2006.06.009
  13. Sinclair J et al. Autistic burnout: a qualitative study of the phenomenon. Autism. 2022 Jul;26(5):1234-1245. https://doi.org/10.1177/13623613211060979
  14. Cryan JF et al. The microbiota-gut-brain axis. Physiol Rev. 2019 Oct 1;99(4):1877-2013. https://doi.org/10.1152/physrev.00018.2018
  15. Livingston G et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet. 2020 Aug 8;396(10248):413-446. https://doi.org/10.1016/S0140-6736(20)30367-6

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