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Abnormal brain state distribution and network connectivity in a SYNGAP1 rat model
Ingrid Buller-Peralta1, Jorge Maicas-Royo1, Zhuoen Lu2
1Simons Initiative for the Developing Brain, Patrick Wild Centre, Centre for Discovery Brain Sciences, University of Edinburgh, EH8 9XD Edinburgh, United Kingdom.
Brain Communications
|November 9, 2022
Summary
Mutations in the SYNGAP1 gene cause neurodevelopmental disorders. This study in a rat model reveals altered brain state dynamics and reduced EEG connectivity during sleep, potentially offering biomarkers for SYNGAP1 haploinsufficiency.
Area of Science:
- Neuroscience
- Genetics
- Sleep Medicine
Background:
- Mutations in the SYNGAP1 gene are linked to neurodevelopmental disorders, including autism, intellectual disability, and epilepsy.
- Electroencephalography (EEG) can identify biomarkers for diagnosing and monitoring neurodevelopmental disorders and understanding their pathological mechanisms.
Purpose of the Study:
- To investigate brain state dynamics and EEG connectivity in a rat model of SYNGAP1 haploinsufficiency (Syngap+/Δ-GAP).
- To explore potential EEG biomarkers for SYNGAP1-related neurodevelopmental disorders.
Main Methods:
- EEG recordings were performed in Syngap+/Δ-GAP rats and controls.
- Analysis included brain state duration and occurrence (wake, NREM, REM).
- EEG connectivity was assessed using imaginary coherence during different brain states and sleep spindles.
Main Results:
- Syngap+/Δ-GAP rats exhibited altered brain state distribution, with fewer and longer wake and NREM bouts.
- A reduction in EEG connectivity was observed during NREM sleep and sleep spindles, particularly between short-distance electrodes.
- Specific cortical regions (right somatosensory, association, visual) showed reduced connectivity during sleep spindles in mutant rats.
Conclusions:
- Syngap+/Δ-GAP rats display altered brain state dynamics and EEG connectivity patterns.
- These findings suggest potential EEG biomarkers for SYNGAP1 haploinsufficiency.
- The study highlights the relevance of EEG connectivity deficits in understanding SYNGAP1-related neurodevelopmental disorders.
