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Literature DB >> 26245320

Interpreting the electrophysiological power spectrum.

Abstract

Recent experimental findings suggest that there may be rich physiological information embedded within the power spectrum of neurophysiological recordings, which, in addition to power in specific oscillatory frequencies, can be extracted with the appropriate model. This article reviews previous empirical and modeling results, as well as the canonical power law model that is often used to describe the power spectrum. In addition, a modified power law model with parameters estimating synaptic and spiking contributions is proposed.

Keywords: electrophysiology; local field potential; power law; power spectrum

Mesh：

Year: 2015 PMID： 26245320 PMCID： PMC4752306 DOI： 10.1152/jn.00722.2015

Source DB: PubMed Journal: J Neurophysiol ISSN： 0022-3077 Impact factor: 2.714

12 in total

1. Origins of 1/f2 scaling in the power spectrum of intracortical local field potential.

Authors: Gytis Baranauskas; Emma Maggiolini; Alessandro Vato; Giannicola Angotzi; Andrea Bonfanti; Guido Zambra; Alessandro Spinelli; Luciano Fadiga
Journal: J Neurophysiol Date: 2011-11-16 Impact factor: 2.714

2. Simulated power spectral density (PSD) of background electrocorticogram (ECoG).

Authors: Walter J Freeman; Jian Zhai
Journal: Cogn Neurodyn Date: 2008-10-02 Impact factor: 5.082

3. EEG and MEG: relevance to neuroscience.

Authors: Fernando Lopes da Silva
Journal: Neuron Date: 2013-12-04 Impact factor: 17.173

Review 4. Dynamic network communication as a unifying neural basis for cognition, development, aging, and disease.

Authors: Bradley Voytek; Robert T Knight
Journal: Biol Psychiatry Date: 2015-04-28 Impact factor: 13.382

5. A unifying principle underlying the extracellular field potential spectral responses in the human cortex.

Authors: Ella Podvalny; Niv Noy; Michal Harel; Stephan Bickel; Gal Chechik; Charles E Schroeder; Ashesh D Mehta; Misha Tsodyks; Rafael Malach
Journal: J Neurophysiol Date: 2015-04-08 Impact factor: 2.714

6. Spectral changes in cortical surface potentials during motor movement.

Authors: Kai J Miller; Eric C Leuthardt; Gerwin Schalk; Rajesh P N Rao; Nicholas R Anderson; Daniel W Moran; John W Miller; Jeffrey G Ojemann
Journal: J Neurosci Date: 2007-02-28 Impact factor: 6.167

7. The spiking component of oscillatory extracellular potentials in the rat hippocampus.

Authors: Erik W Schomburg; Costas A Anastassiou; György Buzsáki; Christof Koch
Journal: J Neurosci Date: 2012-08-22 Impact factor: 6.167

8. Broadband shifts in local field potential power spectra are correlated with single-neuron spiking in humans.

Authors: Jeremy R Manning; Joshua Jacobs; Itzhak Fried; Michael J Kahana
Journal: J Neurosci Date: 2009-10-28 Impact factor: 6.167

9. Power-law scaling in the brain surface electric potential.

Authors: Kai J Miller; Larry B Sorensen; Jeffrey G Ojemann; Marcel den Nijs
Journal: PLoS Comput Biol Date: 2009-12-18 Impact factor: 4.475

10. Neuronal shot noise and Brownian 1/f2 behavior in the local field potential.

Authors: Joshua Milstein; Florian Mormann; Itzhak Fried; Christof Koch
Journal: PLoS One Date: 2009-02-03 Impact factor: 3.240

17 in total

1. Age-Related Changes in 1/f Neural Electrophysiological Noise.

Authors: Bradley Voytek; Mark A Kramer; John Case; Kyle Q Lepage; Zechari R Tempesta; Robert T Knight; Adam Gazzaley
Journal: J Neurosci Date: 2015-09-23 Impact factor: 6.167

2. EEG power spectral slope differs by ADHD status and stimulant medication exposure in early childhood.

Authors: Madeline M Robertson; Sarah Furlong; Bradley Voytek; Thomas Donoghue; Charlotte A Boettiger; Margaret A Sheridan
Journal: J Neurophysiol Date: 2019-10-16 Impact factor: 2.714

3. Changes in EEG multiscale entropy and power-law frequency scaling during the human sleep cycle.

Authors: Vladimir Miskovic; Kevin J MacDonald; L Jack Rhodes; Kimberly A Cote
Journal: Hum Brain Mapp Date: 2018-09-26 Impact factor: 5.038

4. Linked Sources of Neural Noise Contribute to Age-related Cognitive Decline.

Authors: Tam T Tran; Camarin E Rolle; Adam Gazzaley; Bradley Voytek
Journal: J Cogn Neurosci Date: 2020-05-19 Impact factor: 3.225

5. Parameterizing neural power spectra into periodic and aperiodic components.

Authors: Thomas Donoghue; Matar Haller; Erik J Peterson; Paroma Varma; Priyadarshini Sebastian; Richard Gao; Torben Noto; Antonio H Lara; Joni D Wallis; Robert T Knight; Avgusta Shestyuk; Bradley Voytek
Journal: Nat Neurosci Date: 2020-11-23 Impact factor: 24.884