Brain circuit pathology in Down syndrome: from neurons to neural networks
Open accessAbstract
Down syndrome (DS), a genetic pathology caused by triplication of chromosome 21, is characterized by brain hypotrophy and impairment of cognition starting from infancy. While studies in mouse models of DS have elucidated the major neuroanatomical and neurochemical defects of DS, comparatively fewer investigations have focused on the electrophysiology of the DS brain. Electrical activity is at the basis of brain functioning. Therefore, knowledge of the way in which brain circuits operate in DS is fundamental to understand the causes of behavioral impairment and devise targeted interventions. This review summarizes the state of the art regarding the electrical properties of the DS brain, starting from individual neurons and culminating in signal processing in whole neuronal networks. The reported evidence derives from mouse models of DS and from brain tissues and neurons derived from individuals with DS. EEG data recorded in individuals with DS are also provided as a key tool to understand the impact of brain circuit alterations on global brain activity.
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These laminar and cellular imbalances may contribute to the circuit-level pathophysiology observed in Ts21, potentially reflecting disrupted, aberrant cortical connections and altered neuroglial interactions during the early postnatal period.
“These laminar and cellular imbalances may contribute to the circuit-level pathophysiology observed in Ts21 (21), potentially reflecting disrupted, aberrant cortical connections and altered neuroglial interactions during the early postnatal period.”
From Molecular and cellular processes disrupted in the early postnatal Down syndrome prefrontal cortex (2026) · cites this paper as [21]
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References 370 · Cited by 25
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- Carbó-Carreté, M., Cañete-Massé, C., Peró-Cebollero, M., and Guàrdia-Olmos, J. (2020b). Using fMRI to assess brain activity in people with down syndrome: a systematic review. Front. Hum. Neurosci. 14: 147.
- Chen, W.R., Lee, S., Kato, K., Spencer, D.D., Shepherd, G.M., and Williamson, A. (1996). Long-term modifications of synaptic efficacy in the human inferior and middle temporal cortex. Proc. Natl. Acad. Sci. U. S. A. 93: 8011-8015.
- Churchill, S.S., Kieckhefer, G.M., Landis, C.A., and Ward, T.M. (2012). Sleep measurement and monitoring in children with Down syndrome: a review of the literature, 1960-2010. Sleep Med. Rev. 16: 477-488.
- Hebb, D.O. (1949). The organization of behavior: a neuropsychological theory. New York: John Wiley & Sons Inc.
- Holtzman, D.M., Santucci, D., Kilbridge, J., Chua-Couzens, J., Fontana, D.J., Daniels, S.E., Johnson, R.M., Chen, K., Sun, Y., Carlson, E., et al. (1996). Developmental abnormalities and age-related neurodegeneration in a mouse model of Down syndrome. Proc. Natl. Acad. Sci. U. S. A. 93: 13333-13338.
- Kats, D.J., Roche, K.J., and Skotko, B.G. (2020). Epileptic spasms in individuals with Down syndrome: a review of the current literature. Epilepsia Open 5: 344-353.
- Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res. Brain Res. Rev. 29: 169-195.
- Koo, B.K., Blaser, S., Harwood-Nash, D., Becker, L.E., and Murphy, E.G. (1992). Magnetic resonance imaging evaluation of delayed myelination in Down syndrome: a case report and review of the literature. J. Child Neurol. 7: 417-421.
- Legatt, A.D. (2012). Chapter 24 -brainstem auditory evoked potentials: methodology, interpretation, and clinical application. In: Aminoff, M.J. (Ed.), Aminoff's electrodiagnosis in clinical neurology, 6th ed. London: W.B. Saunders, pp. 519-552.
- Muzyka, I.M. and Estephan, B. (2019). Chapter 35 -Somatosensory evoked potentials. In: Levin, K.H. and Chauvel, P. (Eds.), Handbook of clinical neurology. Elsevier, Amsterdam, pp. 523-540.
- Terunuma, M. (2018). Diversity of structure and function of GABA(B) receptors: a complexity of GABA(B)-mediated signaling. Proc. Jpn. Acad. Ser. B Phys. Biol. Sci. 94: 390-411.
- Weick, J.P., Held, D.L., Bonadurer, G.F., 3rd, Doers, M.E., Liu, Y., Maguire, C., Clark, A., Knackert, J.A., Molinarolo, K., Musser, M., et al. (2013). Deficits in human trisomy 21 iPSCs and neurons. Proc. Natl. Acad. Sci. U. S. A. 110: 9962-9967.
- Authors
- Bartesaghi, R.
- Affiliations
- University of Bologna (IT)
- Corresponding author
- Bartesaghi, Renata
- ORCID
- Bartesaghi, Renata
- Venue
- Reviews in the Neurosciences
- Publisher
- Walter de Gruyter GmbH
- Published
- 2022-09-29
- Volume
- 34
- Issue
- 4
- Pages
- 365-423
- ISSN
- 0334-1763 (ISSN-L)
- 2191-0200
- OpenAlex
- W4297520083
- Cited by
- 25
- References
- 370
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 9 · 2023: 6
- FWCI
- 0.99
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Reviews in the Neurosciences (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Down syndrome and intellectual disability research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- Down syndrome, neuronal electrophysiology, artificial neural networks, EEG, mouse models of Down syndrome, cognitive impairment, neural signal processing
- MeSH terms
- Animals, Brain, Cognition, Disease Models, Animal, Down Syndrome, Humans, Neurons, Neural Networks, Computer, Mice
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