scholarly journals Can Oscillatory Alpha-Gamma Phase-Amplitude Coupling be Used to Understand and Enhance TMS Effects?

Author(s):  
Johanna Wagner ◽  
Scott Makeig ◽  
David Hoopes ◽  
Mateusz Gola
Keyword(s):  
2017 ◽  
Vol 11 ◽  
Author(s):  
Victoria Andino-Pavlovsky ◽  
Annie C. Souza ◽  
Robson Scheffer-Teixeira ◽  
Adriano B. L. Tort ◽  
Roberto Etchenique ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Michael. G. Mariscal ◽  
◽  
Elizabeth Berry-Kravis ◽  
Joseph D. Buxbaum ◽  
Lauren E. Ethridge ◽  
...  

Abstract Background Phelan-McDermid Syndrome (PMS) is a rare condition caused by deletion or mutation of the SHANK3 gene. Individuals with PMS frequently present with intellectual disability, autism spectrum disorder, and other neurodevelopmental challenges. Electroencephalography (EEG) can provide a window into network-level function in PMS. Methods Here, we analyze EEG data collected across multiple sites in individuals with PMS (n = 26) and typically developing individuals (n = 15). We quantify oscillatory power, alpha-gamma phase-amplitude coupling strength, and phase bias, a measure of the phase of cross frequency coupling thought to reflect the balance of feedforward (bottom-up) and feedback (top-down) activity. Results We find individuals with PMS display increased alpha-gamma phase bias (U = 3.841, p < 0.0005), predominantly over posterior electrodes. Most individuals with PMS demonstrate positive overall phase bias while most typically developing individuals demonstrate negative overall phase bias. Among individuals with PMS, strength of alpha-gamma phase-amplitude coupling was associated with Sameness, Ritualistic, and Compulsive behaviors as measured by the Repetitive Behavior Scales-Revised (Beta = 0.545, p = 0.011). Conclusions Increased phase bias suggests potential circuit-level mechanisms underlying phenotype in PMS, offering opportunities for back-translation of findings into animal models and targeting in clinical trials.


NeuroImage ◽  
2016 ◽  
Vol 141 ◽  
pp. 60-70 ◽  
Author(s):  
Elinor Tzvi ◽  
Rolf Verleger ◽  
Thomas F. Münte ◽  
Ulrike M. Krämer

2016 ◽  
Author(s):  
Robson Scheffer-Teixeira ◽  
Adriano BL Tort

AbstractPhase-amplitude coupling between theta and multiple gamma sub-bands hallmarks hippocampal activity and is believed to take part in information routing. More recently, theta and gamma oscillations were also reported to exhibit reliable phase-phase coupling, or n:m phase-locking. The existence of n:m phase-locking suggests an important mechanism of neuronal coding that has long received theoretical support. However, here we show that n:m phase-locking (1) is much lower than previously reported, (2) highly depends on epoch length, (3) does not statistically differ from chance (when employing proper surrogate methods), and that (4) filtered white noise has similar n:m scores as actual data. Moreover, (5) the diagonal stripes in theta-gamma phase-phase histograms of actual data can be explained by theta harmonics. These results point to lack of theta-gamma phase-phase coupling in the hippocampus, and suggest that studies investigating n:m phase-locking should rely on appropriate statistical controls, otherwise they could easily fall into analysis pitfalls.


2018 ◽  
Vol 149 ◽  
pp. 107-117 ◽  
Author(s):  
Elinor Tzvi ◽  
Leon J. Bauhaus ◽  
Till U. Kessler ◽  
Matthias Liebrand ◽  
Malte Wöstmann ◽  
...  

2021 ◽  
Author(s):  
Masataka Tanaka ◽  
Takufumi Yanagisawa ◽  
Ryohei Fukuma ◽  
Naoki Tani ◽  
Satoru Oshino ◽  
...  

Abstract To characterize Parkinson disease, abnormal phase-amplitude coupling is assessed in the cortico-basal circuit using invasive recordings. Whether the same phenomenon might be found in areas other than the cortico-basal ganglia circuit is unknown. We hypothesized that using magnetoencephalography to assess phase-amplitude coupling in the whole brain can characterize Parkinson disease. We recorded resting-state magnetoencephalographic signals in patients with Parkinson disease and in healthy age- and sex-matched participants. We compared the whole-brain signals from the two groups, evaluating the power spectra of 3 frequency bands (alpha, 8–12 Hz; beta, 13–25 Hz; gamma, 50–100 Hz) and the coupling between the gamma amplitude and the alpha or beta phases. Compared with the healthy participants, the patients with Parkinson disease showed significant beta–gamma phase-amplitude coupling in the sensorimotor, occipital, and temporal cortices. In contrast, the two groups showed no significant difference in their resting-state powers. Further, in a resting state, the beta–gamma phase-amplitude coupling in the sensorimotor cortices correlated significantly with motor symptoms of Parkinson disease (P < 0.05); the beta-band power did not. We thus demonstrated that beta–gamma phase-amplitude coupling in the resting state characterizes Parkinson disease.


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