scholarly journals EEG Analysis during Music Perception

2020 ◽  
Author(s):  
González Almudena ◽  
Santapau Manuel ◽  
González Julián Jesús
Keyword(s):  
Time Domain ◽  
Music Perception ◽  
Spectral Power ◽  
Experimental Situation ◽  
Eeg Analysis ◽  
Cortical Areas ◽  
Musical Perception ◽  
Musical Characteristics ◽  
Frequency Domain Techniques ◽  
The Brain

This review presents the most interesting results of electroencephalographic studies on musical perception performed with different analysis techniques. In first place, concepts on intra-musical characteristics such as tonality, rhythm, dissonance or musical syntax, which have been object of further investigation, are introduced. Most of the studies found use listening musical extracts, sequences of notes or chords as an experimental situation, with the participants in a resting situation. There are few works with participants performing or imagining musical performance. The reviewed works have been divided into two groups: a) those that analyze the EEGs recorded in different cortical areas separately using frequency domain techniques: spectral power, phase or time domain EEG procedures such as potentials event related (ERP); b) those that investigate the interdependence between different EEG channels to evaluate the functional connectivity between different cortical areas through different statistical or synchronization indices. Most of the aspects studied in music-brain interaction are those related to musical emotions, syntax of different musical styles, musical expectation, differences between pleasant and unpleasant music and effects of musical familiarity and musical experience. Most of the works try to know the topographic maps of the brain centers, pathways and functions involved in these aspects.

Stimulus-Dependent Assembly Formation of Oscillatory Responses: I. Synchronization

1991 ◽  
Vol 3 (2) ◽  
pp. 155-166 ◽  
Author(s):  
Peter König ◽  
Thomas B. Schillen
Keyword(s):  
Nonlinear Oscillator ◽  
Experimental Situation ◽  
Temporal Correlation ◽  
Temporal Coding ◽  
Two Dimensional ◽  
Neuronal Populations ◽  
Cortical Areas ◽  
Short Stimulus ◽  
Object Features ◽  
The Brain

Current concepts in neurobiology of vision assume that local object features are represented by distributed neuronal populations in the brain. Such representations can lead to ambiguities if several distinct objects are simultaneously present in the visual field. Temporal characteristics of the neuronal activity have been proposed as a possible solution to this problem and have been found in various cortical areas. In this paper we introduce a delayed nonlinear oscillator to investigate temporal coding in neuronal networks. We show synchronization within two-dimensional layers consisting of oscillatory elements coupled by excitatory delay connections. The observed correlation length is large compared to coupling length. Following the experimental situation, we then demonstrate the response of such layers to two short stimulus bars of varying gap distance. Coherency of stimuli is reflected by the temporal correlation of the responses, which closely resembles the experimental observations.

scholarly journals Comparative EEG analysis of learning effectiveness using paper books, e-books, and audio books

2017 ◽  
Vol 74 (2) ◽  
pp. 39-46 ◽  
Author(s):  
V. Andrusiak ◽  
V. Kravchenko
Keyword(s):  
Reading Comprehension ◽  
Comparative Analysis ◽  
Electrical Activity ◽  
Learning Style ◽  
Scientific Literature ◽  
Spectral Power ◽  
Eeg Analysis ◽  
Text Learning ◽  
Individual Traits ◽  
The Brain

In this work the peculiarities of reading comprehension from electronic, audio devices and hard copies were studied through comparative analysis of the learning accuracy and electrical activity of the brain when reading or listening to the text. Eighty students took part in the research. They were offered 2 passages of text from fiction and popular-scientific literature for reading, presented in a form of an e-book, MP3-format and in a printed copy. The level of comprehension and assimilation of the read material was checked by testing based on the content of the text immediately after reading and in 2 weeks. The comparative EEG analysis did not reveal significant differences in the spectral power of the studied ranges when reading a paper book and e-book. Differences were found when listening to audiobooks comparatively to reading. In general, the effectiveness of text learning does not depend on the way of its presentation, however, sex and individual traits of a person, such as preferred learning style and extraversion level, are more important.

scholarly journals Cognitive Rehabilitation and EEG Analysis: A Review

2020 ◽  
Vol 9 (2) ◽  
pp. 1146-1152
Keyword(s):  
Frequency Domain ◽  
Cognitive Rehabilitation ◽  
Autism Spectrum ◽  
Speech Disorders ◽  
Eeg Analysis ◽  
Time Frequency ◽  
Cognitive Levels ◽  
Processed Eeg ◽  
Frequency Domain Techniques ◽  
The Brain

Cognition is the capacity of the brain to register and decipher data dependent on information and experience. A portion of the subjective aptitudes are processing, memory and retention, logic and reasoning, attention and so forth. The subjective abilities begin to grow directly from the hour of birth of a person. There are situations where these advancements don't happen at the opportune time or in a proficient manner, which prompts scholarly disorders. The most commonly found intellectual disorders in children are attention deficit hyperactivity disorder (ADHD), epilepsy, encephalitis, autism spectrum disorder (ASD) and speech disorders. There are cognitive tasks and retraining intended for each sort of cognitive issue. These are planned so as to improve the cognitive degrees of the children who experience the ill effects of cognitive issues, for an improvement in their everyday lives. This paper gives an overview of some of the existing techniques for the improvement of cognitive levels along with the techniques of EEG analysis. The activities in the brain can be traced with the help of an electroencephalogram (EEG). Cognitive levels can also be studied with the help of EEG. The study that involves cognition requires careful pre-processing, feature extraction and appropriate analysis. The processed EEG information is analysed utilizing various techniques which can extensively be ordered into time domain, time frequency domain, frequency domain, non-linear methods and artificial neural network methods. Out of every one of these strategies, the frequency domain techniques and time-frequency strategies are most popularly used.

MUSIC PERCEPTION OF THE BRAIN AND ITS DEVELOPMENTAL EFFECTS

2020 ◽  
Vol 6 (35) ◽  
pp. 1622-1628
Author(s):  
Zeynep Ebru AYATA
Keyword(s):  
Music Perception ◽  
Developmental Effects ◽  
The Brain

scholarly journals Music perception: No strong evidence to reject innate biases

2017 ◽  
Author(s):  
Patrick E. Savage ◽  
Thomas E. Currie
Keyword(s):  
Music Perception ◽  
Cognitive Biases ◽  
Group Performance ◽  
Global Analysis ◽  
Cross Cultural ◽  
South American ◽  
Musical Perception ◽  
Indigenous Group ◽  
Nature And Nurture ◽  
Cultural Evolutionary

McDermott et al. (Nature 535, 547–550; 2016) used a cross-cultural experiment to show that an isolated South American indigenous group, the Tsimane', exhibit indifference to musical dissonance. The study acts as an important counterweight to common beliefs that musical preferences reflect universal, mathematically based harmonic relationships that are biologically determined by low-level perceptual mechanisms. While we applaud their cross-cultural approach, the limited number of populations studied (n=5) makes it difficult to draw strong conclusions about causal processes. In particular, the conclusion that consonance is thus "unlikely to reflect innate biases" seems too strong, as innateness does not require complete universality. Exceptions are always found in any phenomenon as complex as human music. Indeed, our own global analysis of traditional music found dozens of aspects of music that were common cross-culturally, but none that were absolutely universal without exception (Savage et al. Proc. Natl. Acad. Sci. USA 112, 8987-8992; 2015). We showed a consistent tendency to avoid dissonance, yet we still found many examples of sustained dissonance in Western and non-Western music (e.g., Eastern European harvest songs, Papua New Guinean lullabies).Such trends and exceptions are not necessarily indicative of the degree of innateness of aspects of music (which, like other domains of culture, likely reflects some combination of nature and nurture). For example, humans and other animals display an innate aversion to bitter and sour foods, but these can be overridden by cultural conventions and developmental experience (Chandrashekar et al. Nature 444, 288-293; 2006). Diversity in musical perception and production could emerge in the context of weak cognitive biases or relaxation in selective pressures (such as the unusual absence of group performance among the Tsimane'). Broader cross-cultural studies of both perception and production of music and other aspects of human behavior (including cultural evolutionary and developmental frameworks) will be needed to clarify the roles of nature and nurture in shaping human diversity.

Effects of Transient Restraint Stress on the Plasticity of the Cortical Areas of the Brain and Cognitive Functions in Adult Rats with Normal and Disturbed Embryogenesis

2015 ◽  
Vol 45 (6) ◽  
pp. 643-647 ◽  
Author(s):  
D. S. Vasil’ev ◽  
N. M. Dubrovskaya ◽  
N. L. Tumanova ◽  
I. A. Zhuravin
Keyword(s):  
Cognitive Functions ◽  
Restraint Stress ◽  
Adult Rats ◽  
Cortical Areas ◽  
The Brain

BIOELECTRIC ACTIVITY OF THE BRAIN IN PATIENTS WITH ACUTE CEREBROVASCULAR ACCIDENT

Vestnik ◽  
2021 ◽  
pp. 29-34
Author(s):  
Д.А. Митрохин ◽  
М.М. Ибрагимов ◽  
Б.Р. Нурмухамбетова ◽  
Н.Ш. Буйракулова ◽  
В.В. Харченко ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Hemorrhagic Stroke ◽  
Spectral Power ◽  
Spectral Power Density ◽  
Cerebral Stroke ◽  
Beta Activity ◽  
Bioelectric Activity ◽  
Early Recovery ◽  
Coherence Index ◽  
The Brain

Значимость биоэлектрической активности головного мозга в оценке функционального состояния нервной системы при цереброваскулярных заболеваниях широко известна. В настоящей работе показана характеристика биоэлектрической активности головного мозга у больных, перенесших острое нарушение мозгового кровообращения. В данной статье приведены данные о том, что у больных в остром и раннем восстановительном периодах церебрального инсульта биоэлектрическая активность головного мозга характеризовалась, в основном, десинхронным и дезорганизованным типами электроэнцефалограммы. Вместе с тем, отмечались, выраженная дельта и тета активность, а также единичные острые волны, спайки, преимущественно в пораженном полушарии головного мозга, реже в контралатеральном полушарии, межполушарная асимметрия, повышение мощности спектров в сторону преобладания медленных волн. Показатели индекса когерентности по всем отведениям были снижены, что свидетельствует о нарушении функциональных межполушарных взаимосвязей. Более значительное повышение индекса когерентности в дельта и тета диапазонах у пациентов, перенесших геморрагический инсульт, может указывать на более грубые межполушарные нарушения, в сравнении с ишемическим инсультом. Результаты исследования относительной спектральной плотности мощности диапазонов показали, что при геморрагическом инсульте отмечена более высокая дельта и бета активность, а также более значительное снижение мощности альфа ритма, в сравнении с ишемическим инсультом. В тоже время, отмечается повышение интегрального индекса диапазона низкочастотной медленно-волновой активности, особенно выраженное у больных с геморрагическим инсультом р<0,05. The significance of bioelectric activity of the brain in assessing the functional state of the nervous system in cerebrovascular diseases is widely known. In this paper, the characteristics of the bioelectric activity of the brain in patients with acute cerebral circulatory disorders are shown. This article presents data that in patients with acute and early recovery periods of cerebral stroke , the bioelectric activity of the brain was characterized mainly by desynchronous and disorganized types of electroencephalogram. At the, same time, pronounced delta and theta activity was noted , as well as single acute waves, spikes, mainly in the affected hemisphere of the brain, less often in the contralateral hemisphere, interhemispheric asymmetry, increased spectral power in the direction of predominance of slow waves. The coherence index values for all leads were reduced, which indicates a violation of functional interhemispheric relationships. A more significant increase in the coherence index in the delta and theta ranges in patients who have had a hemorrhagic stroke may indicate more severe interhemispheric disorders compared to ischemic stroke. The results of the study of the relative spectral power density of the ranges showed, that in hemorrhagic stroke, there was a higher delta and beta activity, as well as a more significant decrease in the power of the alpha rhythm, in comparison with ischemic stroke. At the same time, there is an increase in the integral index of the range of low-frequency slow-wave activity, especially pronounced in patients with hemorrhagic stroke p < 0.05.

Hierarchical Dynamical Model for Multiple Cortical Neural Decoding

2021 ◽  
Vol 33 (5) ◽  
pp. 1372-1401
Author(s):  
Xi Liu ◽  
Xiang Shen ◽  
Shuhang Chen ◽  
Xiang Zhang ◽  
Yifan Huang ◽  
...  
Keyword(s):  
Hierarchical Structure ◽  
Primary Motor Cortex ◽  
Neural Pathway ◽  
Neural Recordings ◽  
Cortical Areas ◽  
The Hierarchical Structure ◽  
Brain States ◽  
Heavy Tailed ◽  
The Brain

Abstract Motor brain machine interfaces (BMIs) interpret neural activities from motor-related cortical areas in the brain into movement commands to control a prosthesis. As the subject adapts to control the neural prosthesis, the medial prefrontal cortex (mPFC), upstream of the primary motor cortex (M1), is heavily involved in reward-guided motor learning. Thus, considering mPFC and M1 functionality within a hierarchical structure could potentially improve the effectiveness of BMI decoding while subjects are learning. The commonly used Kalman decoding method with only one simple state model may not be able to represent the multiple brain states that evolve over time as well as along the neural pathway. In addition, the performance of Kalman decoders degenerates in heavy-tailed nongaussian noise, which is usually generated due to the nonlinear neural system or influences of movement-related noise in online neural recording. In this letter, we propose a hierarchical model to represent the brain states from multiple cortical areas that evolve along the neural pathway. We then introduce correntropy theory into the hierarchical structure to address the heavy-tailed noise existing in neural recordings. We test the proposed algorithm on in vivo recordings collected from the mPFC and M1 of two rats when the subjects were learning to perform a lever-pressing task. Compared with the classic Kalman filter, our results demonstrate better movement decoding performance due to the hierarchical structure that integrates the past failed trial information over multisite recording and the combination with correntropy criterion to deal with noisy heavy-tailed neural recordings.

Early specification and autonomous development of cortical fields in the mouse hippocampus

Development ◽  
1997 ◽  
Vol 124 (24) ◽  
pp. 4959-4970 ◽  
Author(s):  
S. Tole ◽  
C. Christian ◽  
E.A. Grove
Keyword(s):  
Gene Expression ◽  
Slice Culture ◽  
Field Development ◽  
Cortical Areas ◽  
Hippocampal Field ◽  
Mouse Hippocampus ◽  
Hippocampal Development ◽  
Autonomous Development ◽  
The Brain ◽  
Development Proceeds

Studies of the specification of distinct areas in the developing cerebral cortex have until now focused mainly on neocortex. We demonstrate that the hippocampus, an archicortical structure, offers an elegant, alternative system in which to explore cortical area specification. Individual hippocampal areas, called CA fields, display striking molecular differences in maturity. We use these distinct patterns of gene expression as markers of CA field identity, and show that the two major hippocampal fields, CA1 and CA3, are specified early in hippocampal development, during the period of neurogenesis. Two field-specific markers display consistent patterns of expression from the embryo to the adult. Presumptive CA1 and CA3 fields (Pca1, Pca3) can therefore be identified between embryonic days 14.5 and 15.5 in the mouse, a week before the fields are morphologically distinct. No other individual cortical areas have been detected by gene expression as early in development. Indeed, other features that distinguish between the CA fields appear after birth, indicating that mature CA field identity is acquired over at least 3 weeks. To determine if Pca1 and Pca3 are already specified to acquire mature CA field identities, the embryonic fields were isolated from further potential specification cues by maintaining them in slice culture. CA field development proceeds in slices of the entire embryonic hippocampus. More strikingly, slices restricted to Pca1 or Pca3 alone also develop appropriate mature features of CA1 or CA3. Pca1 and Pca3 are therefore able to develop complex characteristics of mature CA field identity autonomously, that is, without contact or innervation from other fields or other parts of the brain. Because Pca1 and Pca3 can be identified before major afferents grow into the hippocampus, innervation may also be unnecessary for the initial division of the hippocampus into separate fields. Providing a clue to the source of the true specifying signals, the earliest field markers appear first at the poles of the hippocampus, then progress inwards. General hippocampal development does not follow this pronounced pattern. We suggest that the sources of signals that specify hippocampal field identity lie close to the hippocampal poles, and that the signals operate first on cells at the poles, then move inwards.

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