LFP Power Spectra in V1 Cortex: The Graded Effect of Stimulus Contrast

2005 ◽  
Vol 94 (1) ◽  
pp. 479-490 ◽  
Author(s):  
J. Andrew Henrie ◽  
Robert Shapley
Keyword(s):  
Frequency Band ◽  
Power Spectra ◽  
Low Frequency ◽  
Wide Band ◽  
Gamma Band ◽  
Single Units ◽  
Total Power ◽  
Stimulus Contrast ◽  
Stimulus Response ◽  
Gamma Frequency

We recorded local field potentials (LFPs) and single-unit activity simultaneously in the macaque primary visual cortex (V1) and studied their responses to drifting sinusoidal gratings that were chosen to be “optimal” for the single units. Over all stimulus conditions, the LFP spectra have much greater power in the low-frequency band (≤10 Hz) than higher frequencies and can be described as “1/f.” Analysis of the total power limited to the low, gamma (25–90 Hz), or broad (8–240 Hz) frequency bands of the LFP as a function of stimulus contrast indicates that the LFP power gradually increases with stimulus strength across a wide band in a manner roughly comparable to the increase in the simultaneously recorded spike activity. However, the low-frequency band power remains approximately constant across all stimulus contrasts. More specifically the gamma-band LFP power increases differentially more with respect to baseline than either higher or lower bands as stimulus contrast increases. At the highest stimulus contrasts, we report as others have previously, that the power spectrum of the LFP typically contains an obvious peak in the gamma-frequency band. The gamma-band peak emerges from the overall broadband enhancement in LFP power at stimulus contrasts where most single units' responses have begun to saturate. The temporal/spectral structures of the LFP located in the gamma band—which become most evident at the highest contrasts—provide additional constraints on potential mechanisms underlying the stimulus response properties of spiking neurons in V1.

Heart rate variability and dissociation in panic disorder

2011 ◽  
Vol 26 (S2) ◽  
pp. 147-147
Author(s):  
T. Diveky ◽  
D. Kamaradova ◽  
A. Grambal ◽  
K. Latalova ◽  
J. Prasko ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Panic Disorder ◽  
Frequency Band ◽  
High Frequency ◽  
Power Spectra ◽  
Low Frequency ◽  
Very Low Frequency ◽  
Significant Difference ◽  
Before And After

The aim of our study is to measure very low frequency band (VLF), low frequency band (LF) and high frequency band (HF) components of R-R interval during orthostatic experiment in panic disorder patients before and after treatment.MethodsWe assessed heart rate variability in 19 patients with panic disorder before and after 6-weeks treatment with antidepressants combined with CBT and 18 healthy controls. They were regularly assessed on the CGI, BAI and BDI. Heart rate variability was assessed during 5 min standing, 5 min supine and 5 min standing positions before and after the treatment. Power spectra were computed using a fast Fourier transformation for very low frequency - VLF (0.0033 - 0.04 Hz), low-frequency - LF (0.04-0.15 Hz) and high frequency - HF (0.15-0.40 Hz) powers.Results19 panic disorder patients entered a 6-week open-label treatment study with combination of SSRI and cognitive behavioral therapy. A combination of CBT and pharmacotherapy proved to be the effective treatment of patients. They significantly improved in all rating scales. There were highly statistical significant differences between panic patients and control group in all components of power spectral analysis in 2nd and in two component of 3rd (LF and HF in standing) positions. There was also statistically significant difference between these two groups in LF/HF ratio in supine position (2nd). During therapy there was tendency to increasing values in all three positions in components of HRV power spectra, but there was only statistically significant increasing in HF1 component.Supported by project IGA MZ ČR NS 10301-3/2009

Evaluating the fracture morphology of shale specimen by the means of AE power spectrum characteristics

2020 ◽  
Author(s):  
Qiang Xie ◽  
Yuxin Ban ◽  
Xiang Fu ◽  
Chunbo He
Keyword(s):  
Acoustic Emission ◽  
Frequency Band ◽  
High Frequency ◽  
Shear Failure ◽  
Power Spectra ◽  
Low Frequency ◽  
Damage Mechanism ◽  
Fracture Morphology ◽  
Dominant Frequency ◽  
Straight Line

<p>Quantitative evaluation of the fracture morphology of shale is an essential prerequisite for assessing the complexity of hydraulic fracturing fracture networks during shale gas exploitation. Brazilian tests coupled with digital image correlation and acoustic emission technique were conducted on black shale in Sichuan Basin in China, the corresponding relationships between the characteristics of the frequency band of acoustic emission power spectra and the micro-damage mechanism of rock specimens were established, and the fracture morphology was quantitatively evaluated. The bedding layer leads to the differences in power spectra characteristics, micro-damage mechanism and fracture morphology of shale. The tension and shear failure of shale matrix induce high-frequency acoustic emission signals, and the tension and shear failure of shale bedding induce low-frequency acoustic emission signals. With the increase of the angle between the bedding layer and loading direction, the dominant frequency and secondary dominant frequency gradually diffuse from low-frequency band to high-frequency band, and the quantitative ratio of high frequency to low frequency  H:L gradually increases. The H:L  of 0<sup>°</sup> shale specimen is 4.28%: 95.72%, and the fracture is a straight line in shape. The H:L of 30<sup>°</sup> and 60<sup>°</sup> shale specimens are 15.89%: 84.11% and 36.93%: 63.07% respectively, and their fractures are arched in shape. The H:L of 90<sup>° </sup>specimen is 93.85%: 6.15%, and the fracture is composited arc-straight line in shape. The results can provide references for analyzing micro-seismic data in situ, and provide a theoretical basis for controlling fracture trajectory in hydraulic fracturing in shale reservoirs.</p>

scholarly journals Acute Brain Injury Is Associated With Prolonged Suppression of Cerebral Blood Flow Oscillations

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Ryan M Jamiolkowski ◽  
Wesley Baker ◽  
W Andrew Kofke ◽  
Ramani Balu
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Brain Injury ◽  
Frequency Band ◽  
Prognostic Significance ◽  
Low Frequency ◽  
Brain Regions ◽  
Total Power ◽  
Blood Flow Oscillations ◽  
Arterial Blood

Abstract INTRODUCTION Low-frequency oscillations (LFOs, < 0.1 Hz) in cerebral blood flow (CBF) reflect changes in the coordinated activity of neuronal assemblies. Synchronized LFOs across multiple brain regions can be identified using magnetic resonance imaging to reveal functionally connected networks; however, how LFOs are altered by brain injury is largely unknown. METHODS We quantified changes in LFO magnitude over time in brain-injured patients where CBF was recorded continuously using invasive thermal diffusion flowmetry. Intracranial pressure (ICP), brain tissue oxygen (PbO2), and arterial blood pressure (ABP) were recorded concurrently in all patients. For each epoch of uninterrupted CBF data, the power spectral density within the 0.05 to 0.1 Hz frequency band was calculated. Periods of LFO suppression were defined as occurring when equal to 10% of the total power across all frequencies occurred in the 0.05 to 1 Hz frequency band. Average values of CBF, ICP, PbO2, and ABP were compared between suppressed and nonsuppressed epochs across all patients. RESULTS Twenty-five patients were included in this retrospective observational study. LFO suppression was associated with a lower average CBF (11.3 mL/100 g/min suppressed vs 31.6 mL/100 g/min unsuppressed, P < .0001) and lower average PbO2 (21.6 mm Hg suppressed vs 31.0 mm Hg unsuppressed, P < .0001). In a subset of patients, LFO suppression was associated with intracranial hypertension (ICP 25-60 mm Hg). Patients that regained consciousness and were discharged to acute rehab had a lower median fraction of time spent in the suppressed state (0.03 rehab vs 0.67 death/nursing home, P = .053). CONCLUSION Brain injury is associated with the suppression of low-frequency CBF fluctuations. LFO suppression is associated with periods of physiological distress and may provide a sensitive marker of disrupted brain function. The degree of LFO suppression may have a prognostic significance, and the re-emergence of LFOs after a period of suppression may provide a marker of return of consciousness after coma.

Effect of autonomic blockade on power spectrum of heart rate variability during exercise

1997 ◽  
Vol 273 (2) ◽  
pp. R495-R502 ◽  
Author(s):  
J. H. Warren ◽  
R. S. Jaffe ◽  
C. E. Wraa ◽  
C. L. Stebbins
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Power Spectra ◽  
Low Frequency ◽  
Power Spectral Analysis ◽  
Total Power ◽  
Work Intensity ◽  
Autonomic Blockade ◽  
Low Frequency Power ◽  
Frequency Power

To validate power spectral analysis of heart rate variability (HRV) as an autonomic indicator during exercise, ten males performed four identical progressive cycling tests during infusions of saline, esmolol (beta 1-blocker), glycopyrrolate (muscarinic blocker), or both drugs. Power spectra were constructed from the recorded electrocardiogram by Fourier algorithm and integrated for low-frequency power (LF) and high-frequency power (HF). Four different LF bands (0.004-0.1, 0.004-0.15, 0.05-0.1, and 0.05-0.15 Hz) and two different HF bands (0.1-1.0 and 0.15-1.0 Hz) were evaluated. The parasympathetic index, HF, decreased exponentially with workload and was attenuated by glycopyrrolate and combined treatments with both HF frequency bands measured. Whereas some sympathetic indexes (LF/total power and LF/HF) did reflect expected increases in sympathetic nerve activity associated with progressive increases in work intensity, none of the measured increases responded appropriately to autonomic blockade. It is concluded that HRV is a valid technique for noninvasive measurement of parasympathetic tone during exercise, but its validity as a measure of sympathetic tone during exercise is equivocal.

scholarly journals Gamma-band resonance of visual cortex to optogenetic stimulation

2017 ◽  
Author(s):  
Jianguang Ni (倪剑光) ◽  
Christopher Murphy Lewis ◽  
Thomas Wunderle ◽  
Patrick Jendritza ◽  
Ilka Diester ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Transfer Function ◽  
White Noise ◽  
Frequency Band ◽  
Gamma Band ◽  
Cortical Circuits ◽  
Optogenetic Stimulation ◽  
Gamma Frequency ◽  
Visual Cortical ◽  
Modulated Light

AbstractActivated visual cortex typically engages in neuronal synchronization in the gamma-frequency band (30-90 Hz). Gamma-band synchronization is related to cognitive functioning, and its mechanisms have been extensively investigated, predominantly through in-vitro studies. To further elucidate its mechanisms in-vivo, we performed simultaneous optogenetic stimulation and electrophysiological recordings of visual cortical areas 17 and 21a in the anesthetized cat. Viral transfection with AAV1 or AAV9 under a CamKIIα promoter led to robust Channelrhodopsin-2 (ChR2) expression. Immunohistochemical analysis showed that all ChR2-expressing neurons were negative for Parvalbumin, consistent with predominant or exclusive expression in excitatory neurons. Optogenetic stimulation used primarily surface illumination directly above the transfected and recorded cells. Stimulation with constant light led to strong and sustained gamma-band synchronization with strength and bandwidth similar to visually induced gamma. Rhythmic stimulation with light-pulse trains or sinusoidal light modulation revealed strongest resonance for gamma-band frequencies. Gamma resonance was confirmed by optogenetic white-noise stimulation. White-noise stimulation allowed the quantification of the transfer function between the optogenetic stimulation and the local field potential response. This transfer function showed a dominant peak in the gamma band. Thus, we find that visual cortical circuits resonate most strongly to gamma-band components in their input. This resonance renders both the sensitivity to input, and the output of these circuits, selectively tuned to gamma.Significance StatementActivated groups of cortical neurons often display rhythmic synchronization in the gamma-frequency band (30-90 Hz). Gamma-band synchronization is particularly well studied in visual cortex. We used optogenetics to control visual cortex neurons with light. Different optogenetic stimulation protocols, using constant light, rhythmically modulated light or white-noise modulated light, all demonstrated that the investigated circuits predominantly resonate to stimulation in the gamma band. The observed gamma-band resonance renders visual cortical circuits most sensitive to gamma-rhythmic synaptic inputs. This in turn renders their spike output and the ensuing interareal synchronization gamma rhythmic.This work was supported by DFG (SPP 1665, FOR 1847, FR2557/5-1-CORNET to P.F.; EXC 1086, DI 1908/5-1, DI 1908/6-1 to I.D.), BMBF (01GQ1301 to I.D.), EU (HEALTH-F2-2008-200728-BrainSynch, FP7-604102-HBP, FP7-600730-Magnetrodes to P.F.; ERC Starting Grant OptoMotorPath to I.D.), a European Young Investigator Award to P.F., the FENS-Kavli Network of Excellence to I.D., National Institutes of Health (1U54MH091657-WU-Minn-Consortium-HCP to P.F.), the LOEWE program (NeFF to P.F. and I.D.). Present address of I.D.: Optophysiology, Bernstein Center and BrainLinks-BrainTools, University of Freiburg, Albertstrase 23, 79104 Freiburg, Germany.Author contributionsJ.N, C.M.L., T.W., P.F. designed research; J.N, C.M.L., T.W., P.J., I.D., P.F. performed experiments; J.N., C.M.L., T.W. analyzed data; J.N., P.F. wrote the paper.

Development of heart rate power spectra reveals neonatal peculiarities of cardiorespiratory control

1996 ◽  
Vol 271 (4) ◽  
pp. R1025-R1032 ◽  
Author(s):  
A. Patzak ◽  
K. Lipke ◽  
W. Orlow ◽  
R. Mrowka ◽  
H. Stauss ◽  
...  
Keyword(s):  
Heart Rate ◽  
Power Spectra ◽  
Low Frequency ◽  
Peak Frequency ◽  
Total Power ◽  
Fast Fourier Transformation ◽  
Frequency Range ◽  
Cardiorespiratory Control ◽  
Healthy Infants ◽  
Instantaneous Heart Rate

Postnatal adaptation should be associated with changes in cardiac rhythmic behavior. To examine the development of heart rate variability, instantaneous heart rate (IHR) and the corresponding breathing signals of 16 healthy infants were analyzed. This was pursued by use of fast Fourier transformation beginning with the 1st day until the 6th mo of life. Power in the low-frequency range (LF, 0.02-0.2 Hz) and high-frequency range (HF, 0.2-1.5 Hz), total power (TP), the quotient LF/HF, and the frequency of the peak in LF and HF (LFF and HFF, respectively) were derived from the IHR spectrum. The peak frequency in HF (RF) was detected in the respiratory spectrum. Power and frequency of IHR rhythms undergo a marked development. TP, LF, and HF are lowest from the end of the 1st mo until the 2nd mo. LF predominates over HF, with LF/HF reaching its peak during 1- to 2-mo period. HF, recording respiratory related rhythms is negatively correlated with the breathing rate (BR). HFF and RF both show an increasing tendency during the 1st mo followed by a decrease down to the 6th mo. However, HFF is lower than RF if BR is high, mainly during the first 2 mo. The distinct changes in BR and its important influence on the IHR spectrum underscore the importance of monitoring respiration as a further measure in the diagnosis of infants. LFF is on average between 0.075 and 0.095 Hz, exhibiting an irregular course with minimum at the 10th, 21st-28th, and 90th day being apparent. The developmental pattern of LFF may by interpreted in terms of the maturation of the nervous system involved in the generation of circulatory rhythms.

Contact Current Density Analysis Inside Human Body in Low-Frequency Band Using Geometric Multi-Grid Solver

2020 ◽  
Vol E103.C (11) ◽  
pp. 588-596
Author(s):  
Masamune NOMURA ◽  
Yuki NAKAMURA ◽  
Hiroo TARAO ◽  
Amane TAKEI
Keyword(s):  
Frequency Band ◽  
Current Density ◽  
Human Body ◽  
Low Frequency ◽  
Density Analysis

Changes in the Total Power of Beta and Theta Bands When Using EEG Biofeedback in Primary School-Age Children Having Difficulties with Voluntary Regulation

2020 ◽  
pp. 331-340
Author(s):  
Yuliya S. Dzhos ◽  
◽  
Irina A. Men’shikova ◽  
Keyword(s):  
Left Hemisphere ◽  
Spectral Characteristics ◽  
Low Frequency ◽  
School Age Children ◽  
Total Power ◽  
Eeg Biofeedback ◽  
Beta Band ◽  
Bioelectric Activity ◽  
Voluntary Regulation ◽  
The Brain

This article presents the results of the study on spectral electroencephalogram (EEG) characteristics in 7–10-year-old children (8 girls and 22 boys) having difficulties with voluntary regulation of activity after 10 and 20 neurofeedback sessions using beta-activating training. Brain bioelectric activity was recorded in 16 standard leads using the Neuron-Spectrum-4/VPM complex. The dynamics was assessed by EEG beta and theta bands during neurofeedback. An increase in the total power of beta band oscillations was established both after 10 and after 20 sessions of EEG biofeedback in the frontal (p ≤ 0.001), left parietal (p ≤ 0.036), and temporal (p ≤ 0.003) areas of the brain. A decrease in the spectral characteristics of theta band oscillations was detected: after 10 neurofeedback sessions in the frontal (p ≤ 0.008) and temporal (p ≤ 0.006) areas of both hemispheres, as well as in the parietal area of the left hemisphere (p ≤ 0.005); after 20 sessions, in the central (p ≤ 0.004), frontal (p ≤ 0.001) and temporal (p ≤ 0.001) areas of both hemispheres, as well as in the occipital (p ≤ 0.047) and parietal (p ≤ 0.001) areas of the left hemisphere. The study into the dynamics of bioelectric activity during biofeedback using EEG parameters in 7–10-year-old children with impaired voluntary regulation of higher mental functions allowed us to prove the advisability of 20 sessions, as the increase in high-frequency activity and decrease in low-frequency activity do not stop with the 10th session. Changes in these parameters after 10 EEG biofeedback sessions are expressed mainly in the frontotemporal areas of both hemispheres, while after a course of 20 sessions, in both the frontotemporal and central parietal areas of the brain.

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