Automated characterization of multiple alpha peaks in multi-site electroencephalograms

Chiang, Alan; Rennie, Chris; Robinson, P. A.; Roberts, James A.; Rigozzi, M.K.; Whitehouse, Richard W.; Hamilton, Rebecca; Gordon, Evian

doi:10.1016/j.jneumeth.2007.11.001

Cited by 52 publications

(45 citation statements)

References 23 publications

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“…Several previous modeling studies have explained the α−rhythm by the delayed thalamo-cortical feedback (Robinson et al 2001a;Robinson et al 2002;Rennie et al 2002;Chiang et al 2008;Hindriks and van Putten 2013) or by a cortical model, cf. e.g., Spiegler et al (2010), Spiegler et al (2011), andHutt (2013).…”

Section: Effective Sub-circuits In the Cortico-thalamic Modelmentioning

confidence: 99%

How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced sedation

2015

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Increasing concentrations of the anaesthetic agent propofol initially induces sedation before achieving full general anaesthesia. During this state of anaesthesia, the observed specific changes in electroencephalographic (EEG) rhythms comprise increased activity in the δ- (0.5-4 Hz) and α- (8-13 Hz) frequency bands over the frontal region, but increased δ- and decreased α-activity over the occipital region. It is known that the cortex, the thalamus, and the thalamo-cortical feedback loop contribute to some degree to the propofol-induced changes in the EEG power spectrum. However the precise role of each structure to the dynamics of the EEG is unknown. In this paper we apply a thalamo-cortical neuronal population model to reproduce the power spectrum changes in EEG during propofol-induced anaesthesia sedation. The model reproduces the power spectrum features observed experimentally both in frontal and occipital electrodes. Moreover, a detailed analysis of the model indicates the importance of multiple resting states in brain activity. The work suggests that the α-activity originates from the cortico-thalamic relay interaction, whereas the emergence of δ-activity results from the full cortico-reticular-relay-cortical feedback loop with a prominent enforced thalamic reticular-relay interaction. This model suggests an important role for synaptic GABAergic receptors at relay neurons and, more generally, for the thalamus in the generation of both the δ- and the α- EEG patterns that are seen during propofol anaesthesia sedation.

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Section: Effective Sub-circuits In the Cortico-thalamic Modelmentioning

confidence: 99%

How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced sedation

2015

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“…The PDR is focussed on the alpha rhythm over the posterior region, and in (Chiang et al, 2008(Chiang et al, , 2011 a similar technique to characterize the alpha rhythm was explored. In (Chiang et al, 2008) the authors tested their method on 100 subjects (49 females, 51 males) and classified each EEG in one of three categories: (i) no alpha rhythm detected (4 EEGs), (ii) a single alpha rhythm found (48 EEGs) and two alpha rhythm components found (48 EEGs).…”

Section: Discussionmentioning

confidence: 99%

“…In (Chiang et al, 2008) the authors tested their method on 100 subjects (49 females, 51 males) and classified each EEG in one of three categories: (i) no alpha rhythm detected (4 EEGs), (ii) a single alpha rhythm found (48 EEGs) and two alpha rhythm components found (48 EEGs). A comparison to visual estimates was however not made.…”

Section: Discussionmentioning

confidence: 99%

“…In (Chiang et al, 2008(Chiang et al, , 2011, two components were found in approximately half of the subjects, although it was not investigated if any of the detected peaks belonged to other rhythms than the alpha rhythm. Our results show that two PDR components were found in 1.6% of the EEGs.…”

Section: Discussionmentioning

confidence: 99%

“…The first important property is the posterior dominant rhythm (PDR) and its peak frequency. Using an adapted version of the method described by Chiang et al (2008), a robust and accurate algorithm is developed for the detection of the alpha rhythm in routine EEGs. Chapter 2 describes how this method is implemented and tested.…”

Section: Part I: Automated Eeg Background Analysismentioning

confidence: 99%

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Computer assisted interpretation of the human EEG

Lodder¹

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Peak alpha frequency differs between chronic back pain and chronic widespread pain

McLain,

Cavaleri,

Kutch

2024

European Journal of Pain

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BackgroundLow peak alpha frequency (PAF) is an electroencephalography (EEG) outcome associated reliably with high acute pain sensitivity. However, existing research suggests that the relationship between PAF and chronic pain is more variable. This variability could be attributable to chronic pain groups typically being examined as homogenous populations, without consideration being given to potential diagnosis‐specific differences. Indeed, while emerging work has compared individuals with chronic pain to healthy controls, no previous studies have examined differences in PAF between diagnoses or across chronic pain subtypes.MethodsTo address this gap, we reanalysed a dataset of resting state EEG previously used to demonstrate a lack of difference in PAF between individuals with chronic pain and healthy controls. In this new analysis, we separated patients by diagnosis before comparing PAF across three subgroups: chronic widespread pain (n = 30), chronic back pain (n = 38), and healthy controls (n = 87).ResultsWe replicate the original finding of no significant difference between chronic pain groups and controls, but also find that individuals with widespread pain had significantly higher global average PAF values than those of people with chronic back pain [p = 0.028, β = 0.25 Hz] after controlling for age, sex, and depression.ConclusionsThese novel findings reveal PAF values in individuals with chronic pain may be diagnosis‐specific and not uniformly shifted from the values of healthy controls. Future studies should account for diagnosis and be cautious with exploring homogenous ‘chronic pain’ classifications during investigations of PAF.SignificanceOur work suggests that, contrary to previous hypotheses, inter‐individual differences in PAF reflect diagnosis‐specific mechanisms rather than the general presence of chronic pain, and therefore may have important implications for future work regarding individually‐tailored pain management strategies.

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Automated characterization of multiple alpha peaks in multi-site electroencephalograms

Cited by 52 publications

References 23 publications

How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced sedation

How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced sedation

Computer assisted interpretation of the human EEG

Peak alpha frequency differs between chronic back pain and chronic widespread pain

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