Detecting neural replay in sleep with EEG classifiers

Abdellahi, Mahmoud Eid Abdelhafez 2022. Detecting neural replay in sleep with EEG classifiers. PhD Thesis, Cardiff University. Item availability restricted.

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Abstract

A rich literature has shown the importance of sleep for enhancing memories. It has been shown that we can trigger memories by re-presenting sound cues during sleep that were associated with specific memories during wake, this method is called targeted memory reactivation (TMR) and it is used in a lot of recent studies. Recent work showed that it is possible to use machine learning classifiers with TMR and identify memory reactivations during sleep. This inspired me to explore memory reactivations and their characteristics in human slow wave sleep (SWS) and rapid eye movement (REM) sleep. Chapter 1 is an introduction. In Chapter 2, I used a serial reaction time task (SRTT) and machine learning classifiers and showed that we can identify memory reactivation and its timing after TMR in SWS. In Chapter 3, new characteristics of reactivations are revealed. I analyse different SWS graphoelements such as slow oscillations (SOs), spindles and show that we can use them to know when to deliver our TMR cues. In Chapter 4, I use trials of varying lengths to see the impact of this on early reactivations that were detected in Chapter 3 and see the behaviour of reactivation when cues are separated further apart. In Chapter 5, I take a leap of faith and try classifying memory reactivation in human REM with a new pipeline and that was successful. Detection of memory replay in REM sleep was shown in rodents but not with TMR in humans. I explore the characteristics of the detected reactivations and how they relate to the rodent literature. In Chapter 6, there is a general discussion and conclusion. The findings of this work pave the way for understanding sleep reactivation better and improving TMR delivery in SWS. REM sleep findings offer a starting point for more investigations to come

Item Type:	Thesis (PhD)
Date Type:	Completion
Status:	Unpublished
Schools:	Psychology
Funders:	ERC
Date of First Compliant Deposit:	21 April 2022
Last Modified:	22 Apr 2022 12:58
URI:	https://orca.cardiff.ac.uk/id/eprint/149269

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