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Increased cortical involvement and synchronization during CAP A1 slow waves
- Source :
- Brain Structure and Function. 223:3531-3542
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- Slow waves recorded with EEG in NREM sleep are indicative of the strength and spatial extent of synchronized firing in neuronal assemblies of the cerebral cortex. Slow waves often appear in the A1 part of the cyclic alternating patterns (CAP), which correlate with a number of behavioral and biological parameters, but their physiological significance is not adequately known. We automatically detected slow waves from the scalp recordings of 37 healthy patients, visually identified CAP A1 events and compared slow waves during CAP A1 with those during NCAP. For each slow wave, we computed the amplitude, slopes, frequency, synchronization (synchronization likelihood) between specific cortical areas, as well as the location of origin and scalp propagation of individual waves. CAP A1 slow waves were characterized by greater spatial extent and amplitude, steeper slopes and greater cortical synchronization, but a similar prominence in frontal areas and similar propagation patterns to other areas on the scalp. Our results indicate that CAP A1 represents a period of highly synchronous neuronal firing over large areas of the cortical mantle. This feature may contribute to the role CAP A1 plays in both normal synaptic homeostasis and in the generation of epileptiform phenomena in epileptic patients.
- Subjects :
- Adult
Male
0301 basic medicine
Histology
Electroencephalography
Sleep, Slow-Wave
Non-rapid eye movement sleep
Synchronization (alternating current)
Young Adult
03 medical and health sciences
0302 clinical medicine
Neural Pathways
medicine
Humans
Cortical Synchronization
Synaptic homeostasis
Cerebral Cortex
medicine.diagnostic_test
General Neuroscience
Signal Processing, Computer-Assisted
030104 developmental biology
medicine.anatomical_structure
Amplitude
Cerebral cortex
Scalp
Female
Anatomy
Neuroscience
030217 neurology & neurosurgery
Geology
Subjects
Details
- ISSN :
- 18632661 and 18632653
- Volume :
- 223
- Database :
- OpenAIRE
- Journal :
- Brain Structure and Function
- Accession number :
- edsair.doi.dedup.....610ee9818109f0429083bb2ecffaa5c6
- Full Text :
- https://doi.org/10.1007/s00429-018-1703-4