Reduced GABAergic Action in the Autistic Brain
Open accessAbstract
An imbalance between excitatory/inhibitory neurotransmission has been posited as a central characteristic of the neurobiology of autism [1], inspired in part by the striking prevalence of seizures among individuals with the disorder [2]. Evidence supporting this hypothesis has specifically implicated the signaling pathway of the inhibitory neurotransmitter, γ-aminobutyric acid (GABA), in this putative imbalance: GABA receptor genes have been associated with autism in linkage and copy number variation studies [3-7], fewer GABA receptor subunits have been observed in the post-mortem tissue of autistic individuals [8, 9], and GABAergic signaling is disrupted across heterogeneous mouse models of autism [10]. Yet, empirical evidence supporting this hypothesis in humans is lacking, leaving a gulf between animal and human studies of the condition. Here, we present a direct link between GABA signaling and autistic perceptual symptomatology. We first demonstrate a robust, replicated autistic deficit in binocular rivalry [11], a basic visual function that is thought to rely on the balance of excitation/inhibition in visual cortex [12-15]. Then, using magnetic resonance spectroscopy, we demonstrate a tight linkage between binocular rivalry dynamics in typical participants and both GABA and glutamate levels in the visual cortex. Finally, we show that the link between GABA and binocular rivalry dynamics is completely and specifically absent in autism. These results suggest a disruption in inhibitory signaling in the autistic brain and forge a translational path between animal and human models of the condition.
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In humans, a higher excitatory/inhibitory ratio is thought to contribute to the pathophysiology of various neurological and psychiatric disorders, including ASD.
“In humans, a higher excitatory/inhibitory ratio is thought to contribute to the pathophysiology of various neurological and psychiatric disorders, including ASD (Nelson & Valakh, 2015;Rubenstein & Merzenich, 2003;Robertson et al., 2016).”
From Vasopressin regulates social play behavior in sex-specific ways through glutamate modulation in the lateral septum (2025) · cites this paper as Robertson et al., 2016
The available copy contains the title and reference links, but no substantive passage about excitatory/inhibitory ratios or their role in ASD or other disorders. Searches for excitation–inhibition balance and psychiatric disorders returned no relevant text, so the claim cannot be checked against this copy. (LLM, conf=0.72)
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Unreliable evoked responses in autism
Dinstein, I., Heeger, D. J., Lorenzi, L., Minshew, N. J., Malach, R., & Behrmann, M. (2012) · Neuron · doi:10.1016/j.neuron.2012.07.026 · Cited by 318 · see citing works
Gaetz, W., Bloy, L., Wang, D. J., Port, R. G., Blaskey, L., Levy, S. E., & Roberts, T. P. L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.068 · Cited by 267 · see citing works
A computational perspective on autism
Rosenberg, A., Patterson, J. S., & Angelaki, D. E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1510583112 · Cited by 156 · see citing works
Cortical variability in the sensory-evoked response in autism
Haigh, S. M., Heeger, D. J., Dinstein, I., Minshew, N., & Behrmann, M. (2015) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2276-6 · Cited by 113 · see citing works
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Robertson, C. E., & Baron-Cohen, S. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.112 · Cited by 1,157 · see citing works
Self-citationSohal, V. S., & Rubenstein, J. L. R. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0426-0 · Cited by 988 · see citing works
Raghavan, R., Riley, A. W., Volk, H., Caruso, D., Hironaka, L., Sices, L., Hong, X., Wang, G., Ji, Y., Brucato, M., et al. (2018) · Paediatric and Perinatal Epidemiology · doi:10.1111/ppe.12414 · Cited by 233 · see citing works
Veenstra-VanderWeele, J., Cook, E. H., King, B. H., Zarevics, P., Cherubini, M., Walton-Bowen, K., Bear, M. F., Wang, P. P., & Carpenter, R. L. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2016.237 · Cited by 168 · see citing works
Neocortical neurogenesis and the etiology of autism spectrum disorder
Packer, A. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.03.002 · Cited by 138 · see citing works
The role of interneurons in autism and Tourette Syndrome
Rapanelli, M., Frick, L. R., & Pittenger, C. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.05.004 · Cited by 93 · see citing works
Bumetanide for autism: more eye contact, less amygdala activation
Hadjikhani, N., Åsberg Johnels, J., Lassalle, A., Zürcher, N. R., Hippolyte, L., Gillberg, C., Lemonnier, E., & Ben-Ari, Y. (2018) · Scientific Reports · doi:10.1038/s41598-018-21958-x · Cited by 90 · see citing works
Lopatina, O. L., Malinovskaya, N. A., Komleva, Y. K., Gorina, Y. V., Shuvaev, A. N., Olovyannikova, R. Y., Belozor, O. S., Belova, O. A., Higashida, H., & Salmina, A. B. (2019) · Reviews in the Neurosciences · doi:10.1515/revneuro-2019-0014 · Cited by 74 · see citing works
Sensory processing in autism across exteroceptive and interoceptive domains.
Proff, I., Williams, G. L., Quadt, L., & Garfinkel, S. N. (2022) · Psychology & Neuroscience · doi:10.1037/pne0000262 · Cited by 69 · see citing works
Mechanisms Underlying Circuit Dysfunction in Neurodevelopmental Disorders
Exposito-Alonso, D., & Rico, B. (2022) · Annual Review of Genetics · doi:10.1146/annurev-genet-072820-023642 · Cited by 49 · see citing works
Intergenerational Metabolic Syndrome and Neuronal Network Hyperexcitability in Autism
Rivell, A., & Mattson, M. P. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.08.006 · Cited by 50 · see citing works
Bredewold, R., Washington, C., & Veenema, A. H. (2025) · Neuropsychopharmacology · doi:10.1038/s41386-024-01987-z · Cited by 13 · see citing works
- Authors
- Robertson, C. E., Ratai, E.-M., & Kanwisher, N.
- Affiliations
- Harvard University (US)
- McGovern Institute for Brain Research (US)
- Corresponding author
- Robertson, Caroline E.
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 26
- Issue
- 1
- Pages
- 80-85
- ISSN
- 0960-9822 (ISSN-L)
- OpenAlex
- W2197168351
- Cited by
- 327
- References
- 4
- Citations by year
- 2026: 20 · 2025: 24 · 2024: 31 · 2023: 38 · 2022: 27 · 2021: 41 · 2020: 39 · 2019: 28 · 2018: 26 · 2017: 36 · 2016: 17
- FWCI
- 15.83
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Current Biology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- autism spectrum disorder, GABA signaling, excitatory-inhibitory imbalance, binocular rivalry, visual cortex, glutamate, GABAergic inhibition, magnetic resonance spectroscopy
- MeSH terms
- Adolescent, Adult, Autistic Disorder, Brain, Female, gamma-Aminobutyric Acid, Humans, Magnetic Resonance Imaging, Male, Synaptic Transmission, Visual Cortex, Vision, Binocular, Biomarkers, Case-Control Studies, Glutamic Acid
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