Electroencephalogram associations of incident postoperative delirium /
| dc.contributor.author | Boord, Monique | |
| dc.contributor.school | University of South Australia. UniSA Justice and Society. | |
| dc.contributor.school | UniSA Justice and Society | |
| dc.date.issued | 2023 | |
| dc.description | 1 ethesis (xvii, 174 pages) : | |
| dc.description | colour illustrations. | |
| dc.description | Includes bibliographical references (pages 142-158) | |
| dc.description.abstract | This thesis identified associations between electroencephalogram (EEG) measures and delirium relative to time (before, during, and after). Further, new data was collected to assess associations between preoperative EEG and event-related potential (ERP) components with incident delirium and its subtypes. Patterns of EEG and ERP measures pre-operatively displayed relationships with delirium subtypes post-operatively. Findings can help refine neurobiological and pathophysiological theories of delirium and applications in delirium risk prediction, clinical management, and prognosis. Findings highlight the importance of considering delirium subtypes independently rather delirium pooled across subtypes. Lastly, this thesis provides support for future research investigating the role of arousal system dynamics in delirium vulnerability, and potential therapeutic avenues for delirium prevention. | |
| dc.description.dissertation | Thesis (PhD(Psychology))--University of South Australia, 2023. | |
| dc.identifier.uri | https://hdl.handle.net/11541.2/34615 | |
| dc.language.iso | en | |
| dc.provenance | Copyright 2023 Monique Boord | |
| dc.subject | delirium;EEG;ERPs | |
| dc.subject.lcsh | Delirium | |
| dc.subject.lcsh | Electroencephalography. | |
| dc.subject.lcsh | Postoperative care. | |
| dc.title | Electroencephalogram associations of incident postoperative delirium / | |
| dc.type | thesis | |
| dcterms.accessRights | 506 0#$fstar $2Unrestricted online access | |
| ror.fileinfo | 12272533930001831 13272533920001831 Boord, Monique - Thesis | |
| ror.mmsid | 9916775514701831 |
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