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  Hyper-connectivity and hyper-plasticity in the medial prefrontal cortex in the valproic acid animal model of autism

Rinaldi, T., Perrodin, C., & Markram, H. (2008). Hyper-connectivity and hyper-plasticity in the medial prefrontal cortex in the valproic acid animal model of autism. Frontiers in Neural Circuits, 2(4), 1-7. doi:10.3389/neuro.04.004.2008.

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Rinaldi, T, Autor
Perrodin, C1, 2, Autor           
Markram, H, Autor
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Research Group Physiology of Sensory Integration, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497808              

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 Zusammenfassung: The prefrontal cortex has been extensively implicated in autism to explain deficits in executive and other higher-order functions related to cognition, language, sociability and emotion. The possible changes at the level of the neuronal microcircuit are however not known. We studied microcircuit alterations in the prefrontal cortex in the valproic acid rat model of autism and found that the layer 5 pyramidal neurons are connected to significantly more neighbouring neurons than in controls. These excitatory connections are more plastic displaying enhanced long-term potentiation of the strength of synapses. The microcircuit alterations found in the prefrontal cortex are therefore similar to the alterations previously found in the somatosensory cortex. Hyper-connectivity and hyper-plasticity in the prefrontal cortex implies hyper-functionality of one of the highest order processing regions in the brain, and stands in contrast to the hypo-functionality that is normally proposed in this region to explain some of t he autistic symptoms. We propose that a number of deficits in autism such as sociability, attention, multi-tasking and repetitive behaviours, should be re-interpreted in the light of a hyper-functional prefrontal cortex.

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 Datum: 2008-10
 Publikationsstatus: Erschienen
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Titel: Frontiers in Neural Circuits
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 2 (4) Artikelnummer: - Start- / Endseite: 1 - 7 Identifikator: -