Is Cortical Theta-Gamma Phase-Amplitude Coupling Memory-Specific?

Papaioannou, Orestis; Crespo, Laura P.; Clark, Kailey; Ogbuagu, Nicole N; Alliende, Luz María; Silverstein, Steven M.; Erickson, Molly

doi:10.3390/brainsci12091131

Cited by 6 publications

(4 citation statements)

References 34 publications

(53 reference statements)

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“…For example, disruptions in amplitude modulation might be associated with attentional deficits or memory impairments. 43 In this study to quantify the interaction happening between two distinct oscillatory frequency band (occurring from any one channel) MI is used. The phase of the complex signal that is, obtained by combining low and high frequency signals, are binned uniformly between −180° and 180° giving rise to N bins.…”

Section: Methodsmentioning

confidence: 99%

Classification of cognitive impairment using electroencephalography for clinical inspection

Easwaran,

Ramakrishnan,

Jeyabal

2024

Proc Inst Mech Eng H

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Impairment in cognitive skill though set-in due to various diseases, its progress is based on neuronal degeneration. In general, cognitive impairment (CI) is divided into three stages: mild, moderate and severe. Quantification of CI is important for deciding/changing therapy. Attempted in this work is to quantify electroencephalograph (EEG) signal and group it into four classes (controls and three stages of CI). After acquiring resting state EEG signal from the participants, non-local and local synchrony measures are derived from phase amplitude coupling and phase locking value. This totals to 160 features per individual for each task. Two types of classification networks are constructed. The first one is an artificial neural network (ANN) that takes derived features and gives a maximum accuracy of 85.11%. The second network is convolutional neural network (CNN) for which topographical images constructed from EEG features becomes the input dataset. The network is trained with 60% of data and then tested with remaining 40% of data. This process is performed in 5-fold technique, which yields an average accuracy of 94.75% with only 30 numbers of inputs for every individual. The result of the study shows that CNN outperforms ANN with a relatively lesser number of inputs. From this it can be concluded that this method proposes a simple task for acquiring EEG (which can be done by CI subjects) and quantifies CI stages with no overlapping between control and test group, thus making it possible for identifying early symptoms of CI.

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Section: Methodsmentioning

confidence: 99%

Classification of cognitive impairment using electroencephalography for clinical inspection

Easwaran,

Ramakrishnan,

Jeyabal

2024

Proc Inst Mech Eng H

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“…The equivalent to the question of bandwidth choice here is the selection of the number of cycles in the wavelets [50]. PAC studies have employed wavelets for both phase and amplitude with 5 cycles [51,52], or 7 cycles [24]. When this number is fixed for all the wavelet frequencies, the time resolution of the transformation increases with frequency, while the frequency resolution decreases [50,53].…”

Section: Wavelet Transformmentioning

confidence: 99%

“…We used 200 surrogates for normalizing both the KL-MI and MVL-MI. In some studies, PAC measures are averaged over epochs or electrodes [40,41,52]. This can combine instances of coupling where the amplitude is increased at different values of the phase, and thus the resulting measure has a somewhat different meaning than a single PAC value computed from a number of epochs, which extracts only the PAC that is coherent between the epochs.…”

Section: Normalization Of the Pac Measurementioning

confidence: 99%

Estimating the Frequencies of Maximal Theta-Gamma Coupling in EEG during the N-Back Task: Sensitivity to Methodology and Temporal Instability

Sinitsyn,

Poydasheva,

Bakulin

et al. 2023

Algorithms

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Phase-amplitude coupling (PAC) of theta and gamma rhythms of the brain has been observed in animals and humans, with evidence of its involvement in cognitive functions and brain disorders. This motivates finding individual frequencies of maximal theta-gamma coupling (TGC) and using them to adjust brain stimulation. This use implies the stability of the frequencies at least during the investigation, which has not been sufficiently studied. Meanwhile, there is a range of available algorithms for PAC estimation in the literature. We explored several options at different steps of the calculation, applying the resulting algorithms to the EEG data of 16 healthy subjects performing the n-back working memory task, as well as a benchmark recording with previously reported strong PAC. By comparing the results for the two halves of each session, we estimated reproducibility at a time scale of a few minutes. For the benchmark data, the results were largely similar between the algorithms and stable over time. However, for the EEG, the results depended substantially on the algorithm, while also showing poor reproducibility, challenging the validity of using them for personalizing brain stimulation. Further research is needed on the PAC estimation algorithms, cognitive tasks, and other aspects to reliably determine and effectively use TGC parameters in neuromodulation.

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“…Brain EEG waveform activity was analyzed to assess if cilia deletion alters basal neuronal activity. Cross-frequency-coupling (CFC) between theta and gamma frequency oscillations was calculated to better understand the cognitive impairments that have been seen in ciliary ablation models, since CFC is known to play a role in synaptic plasticity and consolidating short-term memory into long-term memory [25]–[29]. Our results show that temporal ablation of IFT88 alters sleep patterns, reduces EEG waveform activity, and attenuates theta-gamma phase-amplitude coupling (PAC).…”

Section: Introductionmentioning

confidence: 99%

Temporal Ablation of Primary Cilia Impairs Brainwave Patterns Implicated in Memory Formation

Strobel,

Qiu,

Hofer

et al. 2024

Preprint

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The primary cilium is a hair-like organelle that hosts molecular machinery for various developmental and homeostatic signaling pathways. Its alteration can cause severe ciliopathies such as the Bardet-Biedl and Joubert syndromes, but is also linked to Alzheimer’s disease, clinical depression, and autism spectrum disorder. These afflictions are caused by disturbances in a variety of genes but a common phenotype amongst them is cognitive impairment. Cilia-mediated neural function has generally been examined in relation to these diseases or other developmental defects, but the role of cilia in brain function and memory consolidation is unknown. To elucidate the role of cilia in neural activity and cognitive function, we temporally ablated primary cilia in adult mice before performing electroencephalogram/electromyogram (EEG/EMG) recordings. We found that cilia deficient mice had altered sleep architecture, reduced EEG power, and attenuated phase-amplitude coupling, a process that underlies memory consolidation. These results highlight the growing significance of cilia, demonstrating that they are not only necessary in early neurodevelopment, but also regulate advanced neural functions in the adult brain.

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Is Cortical Theta-Gamma Phase-Amplitude Coupling Memory-Specific?

Cited by 6 publications

References 34 publications

Classification of cognitive impairment using electroencephalography for clinical inspection

Classification of cognitive impairment using electroencephalography for clinical inspection

Estimating the Frequencies of Maximal Theta-Gamma Coupling in EEG during the N-Back Task: Sensitivity to Methodology and Temporal Instability

Temporal Ablation of Primary Cilia Impairs Brainwave Patterns Implicated in Memory Formation

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