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Power spectrum slope confounds estimation of instantaneous oscillatory frequency [article]

Jason Samaha, Michael X Cohen
2021 bioRxiv   pre-print
Here, the ability of frequency sliding to recover ground-truth oscillatory frequency in simulated data is tested while the exponent (slope) of the 1/fx component of the signal power spectrum is systematically  ...  Recently, a method termed 'frequency sliding' was introduced to estimate the instantaneous frequency of oscillatory activity, providing a means of tracking temporal changes in the dominant frequency within  ...  ., slope) of the 1/f x component of the signal power spectrum (also referred to as the aperiodic component) can, if not accounted for, confound measurements such as oscillatory power or band-power ratios  ... 
doi:10.1101/2021.06.21.449312 fatcat:dueycllcizh6nm3rlncogjbg5m

Longitudinal changes in aperiodic and periodic activity in electrophysiological recordings in the first seven months of life

Natalie Schaworonkow, Bradley Voytek
2020 Developmental Cognitive Neuroscience  
We show that the progressive flattening of the EEG power spectrum begins in very early development, continuing through the first months of life.  ...  This understanding is complicated by recent evidence that assessment of periodic neuronal oscillations is confounded by aperiodic neuronal activity, an inherent feature of electrophysiological recordings  ...  (B) The power spectrum was calculated for each channel and each segment, shown is the power spectrum for the black trace. A linear slope was fit to the frequency range 1-10 Hz (red line).  ... 
doi:10.1016/j.dcn.2020.100895 pmid:33316695 pmcid:PMC7734223 fatcat:w4rm4hkimfbovesjwyc5v3rd5q

Untangling cross-frequency coupling in neuroscience

Juhan Aru, Jaan Aru, Viola Priesemann, Michael Wibral, Luiz Lana, Gordon Pipa, Wolf Singer, Raul Vicente
2015 Current Opinion in Neurobiology  
For example, apparent CFC can appear because of spectral correlations due to common non-stationarities that may arise in the total absence of interactions between neural frequency components.  ...  Cross-frequency coupling (CFC) has been proposed to coordinate neural dynamics across spatial and temporal scales.  ...  The latter can be estimated by subtracting from the real power spectrum the power spectrum of baseline or a fit of the background power spectrum [38]. 9 Specificity of effects.  ... 
doi:10.1016/j.conb.2014.08.002 pmid:25212583 fatcat:h5tddikgr5gn3cw3v32tbwnrvm

Untangling cross-frequency coupling in neuroscience [article]

Juhan Aru, Jaan Aru, Viola Priesemann, Michael Wibral, Luiz Lana, Gordon Pipa, Wolf Singer, Raul Vicente
2014 bioRxiv   pre-print
For example, apparent CFC can appear because of spectral correlations due to common non-stationarities that may arise in the total absence of interactions between neural frequency components.  ...  Cross-frequency coupling (CFC) has been proposed to coordinate neural dynamics across spatial and temporal scales.  ...  The latter can be estimated by subtracting from the real power spectrum the power spectrum of baseline or a fit of the background power spectrum [38]. 9 Specificity of effects.  ... 
doi:10.1101/005926 fatcat:byz5b5i2jndz3grhcljfhtgosu

Alterations in rhythmic and non-rhythmic resting-state EEG activity and their link to cognition in older age [article]

Elena Cesnaite, Tim Paul Steinfath, Mina Jamshidi Idaji, Tilman Stephani, Deniz Kumral, Stefan Haufe, Christian Sander, Tilman Hensch, Ulrich Hegerl, Steffi Riedel-Heller, Susanne Roehr, Matthias L. Schroeter (+3 others)
2021 bioRxiv   pre-print
alpha peak frequency (IAF), the slope of 1/f power spectral decay) and aging and cognitive performance.  ...  To a weaker extent, 1/f slope of the PSD showed age-related reductions, mostly in frontal brain regions.  ...  spectral slowing), power estimation of two signals in different frequency ranges might be confounded.  ... 
doi:10.1101/2021.08.26.457768 fatcat:7jkdv4i2qfclznkts5cciubdym

Comparison of spectral analysis methods for characterizing brain oscillations

Marieke K. van Vugt, Per B. Sederberg, Michael J. Kahana
2007 Journal of Neuroscience Methods  
In contrast, multitaper methods are less sensitive to weak signals, but are very frequency-specific. If frequency specificity is not essential, then wavelets and P episode are recommended.  ...  Spectral analysis methods are now routinely used in electrophysiological studies of human and animal cognition.  ...  To compute P episode , one first estimates the "background" spectrum by taking the mean wavelet power over all experimental time.  ... 
doi:10.1016/j.jneumeth.2006.12.004 pmid:17292478 pmcid:PMC2839452 fatcat:3svbsq3m65a7rk7gswuyspdeki

A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls

André M. Bastos, Jan-Mathijs Schoffelen
2016 Frontiers in Systems Neuroscience  
Oscillatory neuronal activity may provide a mechanism for dynamic network coordination.  ...  These pitfalls will be illustrated by presenting a set of MATLAB-scripts, which can be executed by the reader to simulate each of these potential problems.  ...  The first result of this manipulation is that the power spectrum of x 1 is shifted upward (Figure 7E) , a result of adding power at all frequencies (i.e., white noise) to that channel.  ... 
doi:10.3389/fnsys.2015.00175 pmid:26778976 pmcid:PMC4705224 fatcat:ed7mpq3tdfexfg6q7ctzpsklya

Speed modulation of hippocampal theta frequency correlates with spatial memory performance

Gregory R. Richard, Ali Titiz, Anna Tyler, Gregory L. Holmes, Rod C. Scott, Pierre-Pascal Lenck-Santini
2013 Hippocampus  
Both theta frequency and power were significantly lower in the TLE group.  ...  In addition, speed/theta frequency correlation coefficients and regression slopes varied from session to session and were worse in TLE.  ...  Acknowledgments Grant sponsor: National Institute of Health grants; Grant numbers: MH086833, R01NS076763 (PPLS); 1R01NS074450 (GLH), and R01NS075249 (RS); Grant sponsor: Great Ormond Street Hospital Children's  ... 
doi:10.1002/hipo.22164 pmid:23832676 pmcid:PMC5410367 fatcat:m46nfl4a6zf2rizciroxthlnwy

Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform

Hau-Tieng Wu, Han-Kuei Wu, Chun-Li Wang, Yueh-Lung Yang, Wen-Hsiang Wu, Tung-Hu Tsai, Hen-Hong Chang, Zhong-Ke Gao
2016 PLoS ONE  
We apply the recently developed adaptive non-harmonic model based on the wave-shape function, as well as the time-frequency analysis tool called synchrosqueezing transform (SST) to model and analyze oscillatory  ...  Analysis results suggest the potential of the proposed signal processing approach to extract health-related hemodynamics features.  ...  Part of this work was done during H.-T. Wu's visit to National Center for Theoretical Sciences, Taiwan, and he would like to thank NCTS for its hospitality.  ... 
doi:10.1371/journal.pone.0157135 pmid:27304979 pmcid:PMC4909275 fatcat:im2lwjvxiza7hpuzoazshkfkea

Task-related changes in aperiodic activity are related to visual working memory capacity independent of event-related potentials and alpha oscillations [article]

Sian EB Virtue-Griffiths, Alex Fornito, Sarah Thompson, Mana Biabani, Jeggan Tiego, Tribikram Thapa, Nigel C Rogasch
2022 bioRxiv   pre-print
Individual differences in visual working memory capacity are related to slow-wave event-related potentials (ERPs) and suppression of alpha-band oscillatory power measured during the delay period of memory  ...  Aperiodic activity during a baseline and delay period was quantified by fitting a model to the background of the EEG power spectra using the FOOOF toolbox, which returned parameters describing the slope  ...  i.e., slope of the power spectrum steepening), and decreasing (i.e., slope flattening) at lateral parieto-occipital electrodes.  ... 
doi:10.1101/2022.01.18.476852 fatcat:5hiq5niwbrd2he3jtxixxn7qoe

Old Brains Come Uncoupled in Sleep: Slow Wave-Spindle Synchrony, Brain Atrophy, and Forgetting

Randolph F. Helfrich, Bryce A. Mander, William J. Jagust, Robert T. Knight, Matthew P. Walker
2018 Neuron  
Of note, differences in oscillatory power can distort CFC estimates.  ...  Then all auto-spectra were median-averaged to obtain the power spectrum of the 1/f component, with the idea being that resampled oscillatory components are averaged out.  ...  In order to control for confounding variables, we utilized partial correlations, where c was partialled out of x, sin(alpha) and cos(alpha) before computing the multiple correlation using the regression  ... 
doi:10.1016/j.neuron.2017.11.020 pmid:29249289 pmcid:PMC5754239 fatcat:76pt4jjcyzdlxh5o67o4cwuz74

Advantages and detection of phase coding in the absence of rhythmicity

Daniel Bush, Neil Burgess
2020 Hippocampus  
Hence, we examine phase coding relative to LFP signals with broadband low-frequency (2-20 Hz) power but without regular rhythmicity.  ...  Finally, we describe analytical methods that can identify phase coding in the absence of high amplitude LFP oscillations with approximately constant frequency, as in single unit recordings from the human  ...  peak in the power spectrum (6-10 Hz theta band marked in gray).  ... 
doi:10.1002/hipo.23199 pmid:32065488 fatcat:mbv3pkwvnva7lhzi25sjbnxpxy

Power-Law Scaling in the Brain Surface Electric Potential

Kai J. Miller, Larry B. Sorensen, Jeffrey G. Ojemann, Marcel den Nijs, Olaf Sporns
2009 PLoS Computational Biology  
The power spectral density (PSD) of the electric potential has the power-law form P(f )*Af {x from 80 to 500 Hz.  ...  We report the finding of power-law scaling in these signals using subdural electrocorticographic recordings from the surface of human cortex.  ...  We appreciate the time and dedication of the patients and staff at Harborview Hospital in Seattle, WA. Author Contributions  ... 
doi:10.1371/journal.pcbi.1000609 pmid:20019800 pmcid:PMC2787015 fatcat:d5zowwx7zfhr7mlei24aed2cxu

Addressing Pitfalls in Phase-Amplitude Coupling Analysis with an Extended Modulation Index Toolbox

Gabriela J. Jurkiewicz, Mark J. Hunt, Jarosław Żygierewicz
2020 Neuroinformatics  
and epoched data and allows estimation of the statistical significance of each pair of frequencies for phase and for amplitude in the whole comodulogram in the framework of extreme value statistics.  ...  All methods exhibited similar properties in terms of sensitivity and specificity of PAC detection. eMI proved to be more selective in the dimension of frequency for phase.  ...  The natural choice here are methods of estimation of the power spectral density in the time-frequency domain.  ... 
doi:10.1007/s12021-020-09487-3 pmid:32845497 fatcat:v27qeo3p2reenhvszewwd53uny

The strength of alpha-beta oscillatory coupling predicts motor timing precision

Laetitia Grabot, Tadeusz W. Kononowicz, Tom Dupré la Tour, Alexandre Gramfort, Valérie Doyère, Virginie van Wassenhove
2019 Journal of Neuroscience  
Our results provide evidence that active oscillatory coupling engages α oscillations in maintaining the precision of an endogenous temporal motor goal encoded in β power; the when of self-timed actions  ...  Building on the proposal that the coupling of neural oscillations provides a temporal code for information processing in the brain, we tested whether the strength of oscillatory coupling was sensitive  ...  Previous studies on cross-frequency coupling have indicated that PAC estimation could be confounded during the estimation of phase and power frequencies (Aru et al., 2015) .  ... 
doi:10.1523/jneurosci.2473-18.2018 pmid:30792271 pmcid:PMC6788828 fatcat:4sf7svxnx5cytdr6jwslwyy4ny
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