Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-25625
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Castelnovo, Anna | - |
dc.contributor.author | Amacker, Julian | - |
dc.contributor.author | Maiolo, Massimo | - |
dc.contributor.author | Amato, Ninfa | - |
dc.contributor.author | Pereno, Matteo | - |
dc.contributor.author | Riccardi, Silvia | - |
dc.contributor.author | Danani, Andrea | - |
dc.contributor.author | Ulzega, Simone | - |
dc.contributor.author | Manconi, Mauro | - |
dc.date.accessioned | 2022-09-16T14:08:31Z | - |
dc.date.available | 2022-09-16T14:08:31Z | - |
dc.date.issued | 2022-07-22 | - |
dc.identifier.issn | 0010-9452 | de_CH |
dc.identifier.issn | 1973-8102 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/25625 | - |
dc.description.abstract | Confusional arousal is the milder expression of a family of disorders known as Disorders of Arousal (DOA) from non-REM sleep. These disorders are characterized by recurrent abnormal behaviors that occur in a state of reduced awareness for the external environment. Despite frequent amnesia for the nocturnal events, when actively probed, patients are able to report vivid hallucinatory/dream-like mental imagery. Traditional (low-density) scalp and stereo-electroencephalographic (EEG) recordings previously showed a pathological admixture of slow oscillations typical of NREM sleep and wake-like fast-mixed frequencies during these phenomena. However, our knowledge about the specific neural EEG dynamics over the entire brain is limited. We collected 2 consecutive in-laboratory sleep recordings using high-density (hd)-EEG (256 vertex-referenced geodesic system) coupled with standard video-polysomnography (v-PSG) from a 12-year-old drug-naïve and otherwise healthy child with a long-lasting history of sleepwalking. Source power topography and functional connectivity were computed during 20 selected confusional arousal episodes (from -6 to +18 sec after motor onset), and during baseline slow wave sleep preceding each episode (from - 3 to -2 min before onset). We found a widespread increase in slow wave activity (SWA) theta, alpha, beta, gamma power, associated with a parallel decrease in the sigma range during behavioral episodes compared to baseline sleep. Bilateral Broadman area 7 and right Broadman areas 39 and 40 were relatively spared by the massive increase in SWA power. Functional SWA connectivity analysis revealed a drastic increase in the number and complexity of connections from baseline sleep to full-blown episodes, that mainly involved an increased out-flow from bilateral fronto-medial prefrontal cortex and left temporal lobe to other cortical regions. These effects could be appreciated in the 6 sec window preceding behavioral onset. Overall, our results support the idea that DOA are the expression of peculiar brain states, compatible with a partial re-emergence of consciousness. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | Elsevier | de_CH |
dc.relation.ispartof | Cortex | de_CH |
dc.rights | http://creativecommons.org/licenses/by/4.0/ | de_CH |
dc.subject | Disorder of arousal | de_CH |
dc.subject | NREM-sleep parasomnia | de_CH |
dc.subject | Brain connectivity | de_CH |
dc.subject | Somnambulism | de_CH |
dc.subject | Night terror | de_CH |
dc.subject | Pavor nocturnus | de_CH |
dc.subject.ddc | 616.8: Neurologie und Krankheiten des Nervensystems | de_CH |
dc.title | High-density EEG power topography and connectivity during confusional arousal | de_CH |
dc.type | Beitrag in wissenschaftlicher Zeitschrift | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | Life Sciences und Facility Management | de_CH |
zhaw.organisationalunit | Institut für Computational Life Sciences (ICLS) | de_CH |
dc.identifier.doi | 10.1016/j.cortex.2022.05.021 | de_CH |
dc.identifier.doi | 10.21256/zhaw-25625 | - |
dc.identifier.pmid | 35985125 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.issue | 155 | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 74 | de_CH |
zhaw.pages.start | 62 | de_CH |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.publication.review | Peer review (Publikation) | de_CH |
zhaw.webfeed | Biomedical Simulation | de_CH |
zhaw.webfeed | High Performance Computing (HPC) | de_CH |
zhaw.funding.zhaw | Data mining in neurological medicine | de_CH |
zhaw.author.additional | No | de_CH |
zhaw.display.portrait | Yes | de_CH |
Appears in collections: | Publikationen Life Sciences und Facility Management |
Files in This Item:
File | Description | Size | Format | |
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2022_Castelnovo-etal_High-density-EEG-topography-connectivity-confusional-arousal.pdf | 2.25 MB | Adobe PDF | View/Open |
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Castelnovo, A., Amacker, J., Maiolo, M., Amato, N., Pereno, M., Riccardi, S., Danani, A., Ulzega, S., & Manconi, M. (2022). High-density EEG power topography and connectivity during confusional arousal. Cortex, 155, 62–74. https://doi.org/10.1016/j.cortex.2022.05.021
Castelnovo, A. et al. (2022) ‘High-density EEG power topography and connectivity during confusional arousal’, Cortex, (155), pp. 62–74. Available at: https://doi.org/10.1016/j.cortex.2022.05.021.
A. Castelnovo et al., “High-density EEG power topography and connectivity during confusional arousal,” Cortex, no. 155, pp. 62–74, Jul. 2022, doi: 10.1016/j.cortex.2022.05.021.
CASTELNOVO, Anna, Julian AMACKER, Massimo MAIOLO, Ninfa AMATO, Matteo PERENO, Silvia RICCARDI, Andrea DANANI, Simone ULZEGA und Mauro MANCONI, 2022. High-density EEG power topography and connectivity during confusional arousal. Cortex. 22 Juli 2022. Nr. 155, S. 62–74. DOI 10.1016/j.cortex.2022.05.021
Castelnovo, Anna, Julian Amacker, Massimo Maiolo, Ninfa Amato, Matteo Pereno, Silvia Riccardi, Andrea Danani, Simone Ulzega, and Mauro Manconi. 2022. “High-Density EEG Power Topography and Connectivity during Confusional Arousal.” Cortex, no. 155 (July): 62–74. https://doi.org/10.1016/j.cortex.2022.05.021.
Castelnovo, Anna, et al. “High-Density EEG Power Topography and Connectivity during Confusional Arousal.” Cortex, no. 155, July 2022, pp. 62–74, https://doi.org/10.1016/j.cortex.2022.05.021.
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