Yoga can Alter the Autonomic Neural Activity: A Critical Analysis

2020 ◽  
Vol 06 ◽  
Author(s):  
Anup De ◽  
Samiran Mondal
Keyword(s):  
Frequency Band ◽  
Skin Resistance ◽  
Low Frequency ◽  
Vagal Activity ◽  
Neural Responses ◽  
Inclusion Criteria ◽  
Yogic Practice ◽  
Online Databases ◽  
Review Study ◽  
Heart Rate Variability Spectrum

Background: Modern lifestyle leads a greater psychotechnological stress and it results increase of autonomic imbalances. This predicts disturbance of the normal mental state and cognition. The current researchers found clear relationship between yoga practice and parasympathetic dominance. Objectives: The purpose of the review study was to analyze the scientific literatures related to yoga and autonomic neural responses. Methods: Researchers collected scientific evidences through electronic online databases; PubMed, Embase, Medline, Google scholar, Web of science, PsycINFO, Shodhganga; Europe PMC; Scopus and critically analyzed all the entire relevant articles according to the purpose of this study. After the exhaustive search and selecting the studies on the basis of inclusion criteria, 11 full text articles of galvanic skin resistance and 75 articles related to autonomic function were shortlisted for qualitative analysis. Results: Yogic practices including meditation, pranayama, asana and integrated yoga increase the high frequency band and decrease the low frequency band of the heart rate variability spectrum and it reduces the stress via limbic activity and increases the better psychophysiological relaxation. Conclusions: Yogic practice may enhance the vagal activity which influences autonomic flexibility.

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

scholarly journals Physical activity in patients with rheumatoid arthritis - an agile lifelong behaviour: a qualitative meta-synthesis

RMD Open ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. e001635
Author(s):  
Emma Swärdh ◽  
Christina Opava ◽  
Nina Brodin
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Web Of Science ◽  
Body Awareness ◽  
Main Theme ◽  
Inclusion Criteria ◽  
Online Databases ◽  
Taking Action ◽  
The Impact

BackgroundPhysical activity (PA) in rheumatoid arthritis (RA) is considered a cornerstone in the treatment. To highlight aspects involved in supporting a positive PA behaviour, it is important to understand the patients’ perceptions of the phenomenon.ObjectiveThe aim of this qualitative meta-synthesis was to explore and synthesise patient perceptions of PA in RA.MethodsA purposeful search was conducted across three online databases (PubMed, CINAHL and Web of Science). The methodological quality of the included studies was appraised, and data were extracted and analysed using an interpretive inductive thematic synthesis.ResultsFifteen studies met the inclusion criteria and were included. PA was identified as an agile lifelong behaviour, with one main theme: The disease as a persistent catalyst for or against PA illustrating how the constant presence of the disease itself underlies the entire process of a life with or without regular PA. Seven subthemes: ‘considering aggravated symptoms’, ‘acknowledging the impact on health’, ‘becoming empowered and taking action’, ‘keeping informed to increase awareness’, ‘creating body awareness’, ‘dealing with social support’ and ‘feeling satisfied with circumstances and achievements’ were interpreted as facilitators and/or challenges.ConclusionThis synthesis has identified PA as an agile lifelong behaviour in which the disease pervades all aspects of an individuals’ perception of PA. Placed in a theoretical context, our findings outline a model for tailoring PA support to the drivers and determinants of a certain individual, which will improve clinical practice for the benefit of both health professionals and patients with RA.

scholarly journals Frequency Sensitivity of Neural Responses to English Verb Argument Structure Violations

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Jona Sassenhagen ◽  
Ryan Blything ◽  
Elena V. M. Lieven ◽  
Ben Ambridge
Keyword(s):  
Statistical Learning ◽  
High Frequency ◽  
Argument Structure ◽  
Low Frequency ◽  
Event Related Potentials ◽  
Neural Responses ◽  
Online Processing ◽  
Verb Argument Structure ◽  
Related Potentials ◽  
Intransitive Verbs

How are verb-argument structure preferences acquired? Children typically receive very little negative evidence, raising the question of how they come to understand the restrictions on grammatical constructions. Statistical learning theories propose stochastic patterns in the input contain sufficient clues. For example, if a verb is very common, but never observed in transitive constructions, this would indicate that transitive usage of that verb is illegal. Ambridge et al. (2008) have shown that in offline grammaticality judgements of intransitive verbs used in transitive constructions, low-frequency verbs elicit higher acceptability ratings than high-frequency verbs, as predicted if relative frequency is a cue during statistical learning. Here, we investigate if the same pattern also emerges in on-line processing of English sentences. EEG was recorded while healthy adults listened to sentences featuring transitive uses of semantically matched verb pairs of differing frequencies. We replicate the finding of higher acceptabilities of transitive uses of low- vs. high-frequency intransitive verbs. Event-Related Potentials indicate a similar result: early electrophysiological signals distinguish between misuse of high- vs low-frequency verbs. This indicates online processing shows a similar sensitivity to frequency as off-line judgements, consistent with a parser that reflects an original acquisition of grammatical constructions via statistical cues. However, the nature of the observed neural responses was not of the expected, or an easily interpretable, form, motivating further work into neural correlates of online processing of syntactic constructions.

scholarly journals Spillovers of Stock Markets among the BRICS: New Evidence in Time and Frequency Domains before the Outbreak of COVID-19 Pandemic

2021 ◽  
Vol 14 (3) ◽  
pp. 112
Author(s):  
Kai Shi
Keyword(s):  
Stock Market ◽  
Frequency Band ◽  
Stock Markets ◽  
Emerging Market ◽  
Low Frequency ◽  
Systematic Risk ◽  
Error Variance ◽  
Frequency Bands ◽  
Volatility Spillovers ◽  
Risk Sources

We attempted to comprehensively decode the connectedness among the abbreviation of five emerging market countries (BRICS) stock markets between 1 August 2002 and 31 December 2019 not only in time domain but also in frequency domain. A continuously varying spillover index based on forecasting error variance decomposition within a generalized abbreviation of vector-autoregression (VAR) framework was computed. With the help of spectral representation, heterogeneous frequency responses to shocks were separated into frequency-specific spillovers in five different frequency bands to reveal differentiated linkages among BRICS markets. Rolling sample analyses were introduced to allow for multiple changes during the sample period. It is found that return spillovers dominated by the high frequency band (within 1 week) part declined with the drop of frequencies, while volatility spillovers dominated by the low frequency band (above 1 quarter) part grew with the decline in frequencies; the dynamics of spillovers were influenced by crucial systematic risk events, and some similarities implied in the spillover dynamics in different frequency bands were found. From the perspective of identifying systematic risk sources, China’s stock market and Russia’s stock market, respectively, played an influential role for return spillover and volatility spillover across BRICS markets.

Auditory Imagery Modulates Frequency-specific Areas in the Human Auditory Cortex

2013 ◽  
Vol 25 (2) ◽  
pp. 175-187 ◽  
Author(s):  
Jihoon Oh ◽  
Jae Hyung Kwon ◽  
Po Song Yang ◽  
Jaeseung Jeong
Keyword(s):  
Auditory Cortex ◽  
High Frequency ◽  
Low Frequency ◽  
Primary Auditory Cortex ◽  
Auditory Imagery ◽  
Neural Responses ◽  
Top Down ◽  
Visual Areas ◽  
Control Functional ◽  
Response Area

Neural responses in early sensory areas are influenced by top–down processing. In the visual system, early visual areas have been shown to actively participate in top–down processing based on their topographical properties. Although it has been suggested that the auditory cortex is involved in top–down control, functional evidence of topographic modulation is still lacking. Here, we show that mental auditory imagery for familiar melodies induces significant activation in the frequency-responsive areas of the primary auditory cortex (PAC). This activation is related to the characteristics of the imagery: when subjects were asked to imagine high-frequency melodies, we observed increased activation in the high- versus low-frequency response area; when the subjects were asked to imagine low-frequency melodies, the opposite was observed. Furthermore, we found that A1 is more closely related to the observed frequency-related modulation than R in tonotopic subfields of the PAC. Our findings suggest that top–down processing in the auditory cortex relies on a mechanism similar to that used in the perception of external auditory stimuli, which is comparable to early visual systems.

Locally resonant periodic structures with low-frequency band gaps

2013 ◽  
Vol 114 (3) ◽  
pp. 033532 ◽  
Author(s):  
Zhibao Cheng ◽  
Zhifei Shi ◽  
Y. L. Mo ◽  
Hongjun Xiang
Keyword(s):  
Frequency Band ◽  
Periodic Structures ◽  
Low Frequency ◽  
Band Gaps

An Effective Brain Imaging Biomarker for AD and aMCI: ALFF in Slow-5 Frequency Band

2021 ◽  
Vol 18 ◽  
Author(s):  
Luoyu Wang ◽  
Qi Feng ◽  
Mei Wang ◽  
Tingting Zhu ◽  
Enyan Yu ◽  
...  
Keyword(s):  
Brain Imaging ◽  
Frequency Band ◽  
Low Frequency ◽  
Posterior Cingulate Cortex ◽  
Angular Gyrus ◽  
Imaging Biomarker ◽  
Support Vector ◽  
Frequency Bands ◽  
Local Functional ◽  
Left Angular Gyrus

Background: As a potential brain imaging biomarker, amplitude of low frequency fluc-tuation (ALFF) has been used as a feature to distinguish patients with Alzheimer’s disease (AD) and amnestic mild cognitive impairment (aMCI) from normal controls (NC). However, it remains unclear whether the frequency-dependent pattern of ALFF alterations can effectively distinguish the different phases of the disease. Methods: In the present study, 52 AD and 50 aMCI patients were enrolled together with 43 NC in total. The ALFF values were calculated in the following three frequency bands: classical (0.01-0.08 Hz), slow-4 (0.027-0.073 Hz) and slow-5 (0.01-0.027 Hz) for the three different groups. Subsequently, the local functional abnormalities were employed as features to examine the effect of classification among AD, aMCI and NC using a support vector machine (SVM). Results: We found that the among-group differences of ALFF in the different frequency bands were mainly located in the left hippocampus (HP), right HP, bilateral posterior cingulate cortex (PCC) and bilateral precuneus (PCu), left angular gyrus (AG) and left medial prefrontal cortex (mPFC). When the local functional abnormalities were employed as features, we identified that the ALFF in the slow-5 frequency band showed the highest accuracy to distinguish among the three groups. Conclusion: These findings may deepen our understanding of the pathogenesis of AD and suggest that slow-5 frequency band may be helpful to explore the pathogenesis and distinguish the phases of this disease.

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