Brain Electrical Activity Mapping Research Articles

Physiological records-based situation awareness evaluation under aviation context: A comparative analysis

Situational Awareness (SA) assessment is of paramount importance in various domains, with particular significance in the military for safe aviation decision-making. It involves encompassing perception, comprehension, and projection levels in human beings. Accurate evaluation of SA statuses across these three levels is crucial for mitigating human false-positive and false-negative rates in monitoring complex scenarios in the aviation context. This study proposes a comprehensive comparative analysis by involving two types of physiological records: electroencephalogram (EEG) signals and brain electrical activity mapping (BEAM) images. These two modalities are leveraged to automate precise SA evaluation using both conventional machine learning and advanced deep learning techniques. Benchmarking experiments reveal that the BEAM-based deep learning models attain state-of-the-art performance scores of 0.955 for both SA perception and comprehension levels, respectively. Conversely, the EEG signals-based manual feature extraction, selection, and classification approach achieved a superior accuracy of 0.929 for the projection level of SA. These findings collectively highlight the potential of deploying diverse physiological records as valuable computational tools for enhancing SA evaluation throughout aviation decision-making safety.

Difference of Brain Electrical Activity Mappings in Sleep Stages

According to a survey by the World Health Organization, the proportion of people who has difficulty in sleeping is up to 27%. Detecting the cause of these sleep disorders needs an elaborate analysis of the physiological signals of different sleep stages. Analyzing and comparing the brain electrical activity mapping energy difference of normal subjects and subjects who have the disease of nocturnal frontal lobe epilepsy is introduced in this study. The brain electrical activity mapping is from the independent component analysis (ICA) of the Electroencephalograph (EEG) waveform. The EEG data set is coming from the CAP sleep database. The control group uses the data of n3, n10, and n11. The experimental group uses the data of nfle1, nfle2, and nfle3. The EEGLAB, a toolbox in MATLAB, is used to preprocess the EEG waveform and locate the area where signals are generated in the brain. The preprocessing steps include channel locations, selecting data, filtering, re-referencing the data, ICA, and artifact rejection. After the preprocessing, there are 13 electrodes retained and the energy difference of the brain electrical activity mapping will be compared between the control group and the experimental group by observation.

Impact Of Seasonal Fluctuations In Natural Light On Cerebral Metabolism In Arctic Region Residents With Different Autonomic Tones

Background — The study of physiological mechanisms of human acclimatization to extreme climatic conditions is an urgent task in current socioeconomic conditions of the Arctic region development. Natural cycles of seasonal adaptation based on light stimulus cause functional restructuring of the cerebral cortex and subcortical activity centers and change the activity of the autonomic nervous system. Objective — The article aims at determining the characteristics of brain energy metabolism in Arctic region residents with different autonomic tones during different seasons. Material and Methods — The first stage of our study was conducted using the computer appliance VNS-Spectrum (Neurosoft LLC, Russia) and resulted in setting up two groups: with predominance of the parasympathetic autonomic nervous system (26 subjects) and with prevailing sympathetic autonomic nervous system (23 individuals). At the second stage, the study of the seasonal dynamics in cerebral energy processes took place (in October, December, March, and June) by means of using the five-channel diagnostic complex Neuro-KM for topographic mapping of brain electrical activity via direct current potential levels (DCPL). Results — Our results did not exhibit statistically significant gender-related differences, hence they permitted to form a single group. The results were compared with the software reference values for the norm. Conclusion — Enlarged levels of natural light prompt the activation of energy metabolism in frontal and occipital lobes of the Arctic residents’ cortex, accompanied by forming an exhaustion area in the temporal lobes. In the group of sympathotonic individuals, we revealed somewhat tense adaptation processes. Adaptation process of brain energy supply in vagotonic individuals occur less stressfully during the annual cycle.

Brain Electrical Activity Mapping (BEAM) on Trait Anxiety among Malaysian Chinese Children

Objective - Woefully, the early onset of anxiety disorders had affected children in different aspects throughout their developmental stages. In order to get rid of the increased prevalence rate among children, the biological attributed risk factors for anxiety should be given more concern. Particularly, this research intended to study the biological brain mechanism for trait anxiety among children. With brain electrical activity mapping, this research was aimed to study the relationship between the brain locations situated at the prefrontal cortex and temporal lobe with trait anxiety. Subsequently, this research aimed to predict the associated brain locations for trait anxiety among anxious children. Methodology/Technique – A total of 212 Chinese children from Kuala Lumpur, Malaysia with high trait anxiety was recruited after the first phase of the screening phase through the administration of the State-Trait Anxiety Inventory for Children-Trait Scale (STAIC-T). Recruited children then proceeded to the second phase of brain electrical activity brain mapping with a Quantitative Electroencephalogram (qEEG) brain mapping machine. Finding – Results showed that brain locations Fp1, Fp2, F7, F8, F3, F4, T3, and T4 are significantly correlated with trait anxiety while F8, Fp2, F4, and Fp1 are the significant predictors for trait anxiety among children during on task state. In short, the biological brain mechanism of brain locations played a role in forming the anxious trait the personality of children which resulted in reducing their resilience towards stress. Type of Paper: Empirical JEL Classification: D83, I19 Keywords: Brain Electrical Activity Mapping (BEAM); Children; Chinese; Malaysia; Trait anxiety; Quantitative Electroencephalogram (qEEG) Reference to this paper should be made as follows: Cheong, C.C; Ashari, A; Ibrahim, R; Sulaiman, W.A.W; Yong, K.K. (2020). Brain Electrical Activity Mapping (BEAM) on Trait Anxiety among Malaysian Chinese Children, GATR Global J. Bus. Soc. Sci. Review, 8(4): 246 – 259. https://doi.org/10.35609/gjbssr.2020.8.4(6)

Brain Electrical Activity Mapping (Beam) on Trait Anxiety among Malaysian Chinese Children

Woefully, the twenty-first century is described as an era of anxiety (Malcolm, 2015; Karas, 2013). In fact, the increasing prevalence rate of anxiety disorder has afflicted children at alarming rates nowadays. However, early onset of childhood anxiety is still underestimated. Consistent and intense feeling of fear had affected them in various aspects like emotions, behaviours and cognitive functions throughout their developmental stage (Bittner et al., 2007; Pine, Cohen, Gurley, Brook, & Ma, 1998; Woodward & Fergusson, 2001). Without proper early intervention, children are at risk for anxiety disorders with more severe anxiety symptoms when they are growing up. In order to get rid of the elevating of prevalence rate for anxiety, understanding the etiology of the onset of anxiety should be given more concern. In fact, this Biopsychosocial model views anxiety disorders as the products of biological aspects (gene and brain mechanism), psychological aspect (beliefs, behavior, coping skills) and social aspect (environmental factor). Among these three aspects, biological attributed vulnerabilities formed the first anxious personality in children since birth and reduced their resilience towards psychological and social stressors later on in their life (Averill, 2015). For instance, trait anxiety, the prolong state of anxious feeling is much more impactful for children compared to state anxiety as this inborn anxious personality shaped the first default biological vulnerability to fear. Hight trait anxiety level be adopted by the individual and form anxious personality in children since birth (Miu et al., 2009; Miclea, Albu & Ciuca, 2009). Keywords: Brain Electrical Activity Mapping (BEAM); Children; Chinese; Malaysia; Trait anxiety; Quantitative Electroencephalogram (qEEG)

Cognitive and neurophysiological assessment of patients with minimal hepatic encephalopathy in Brazil

Minimal hepatic encephalopathy is a syndrome caused by cirrhosis, with a broad spectrum of clinical manifestations. Its diagnosis is based on abnormal results of cognitive and neurophysiological tests, but there are no universally available criteria, especially in Brazil, where local testing standards are required. The objective of the present study was to compare the performance of the mini-mental state examination (MMSE), Rey’s auditory-verbal learning test (RAVLT), psychometric score of hepatic encephalopathy (PHES), topographic mapping of brain electrical activity (TMBEA) and long-latency auditory evoked potential (P300) in the detection of minimal hepatic encephalopathy in Brazil. From 224 patients with cirrhosis included in the global sample, 82.5% were excluded due to secondary causes responsible for cognitive or neurophysiological dysfunction. The final sample consisted of 29 cirrhotics, with predominance of A5 Child-Pugh classification, and 29 controls paired in critical variables such as age, educational level, gender, professional category, scores suggestive of mild depression, association with compensated type 2 diabetes mellitus and sociodemographic characteristics. Overall, performance on cognitive tests and TMBEA did not show a statistically significant difference. There was a marked difference in P300 latency adjusted for age, with patients with cirrhosis showing a mean of 385 ± 78 ms (median of 366.6 ms) and healthy volunteers exhibiting a mean of 346.2 ± 42.8 ms (median of 348.2 ms) (p < 0.01). These findings suggest that, in the earliest stages of cirrhosis, age-adjusted P300 latency was superior to cognitive assessment and TMBEA for detection of minimal hepatic encephalopathy.

Brain electrical activity mapping in the diagnosis of attention-deficit hyperactivity disorder

Background Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder of childhood. It affects approximately 4% of all children, although estimates vary widely from 3% to 11% or more. Neuroimaging and neurophysiological tests have been increasingly used to understand the relation between brain functionality and ADHD symptoms. QEEG provides a method that can measure the neurophysiological mechanisms underlying neurodevelopmental disorders. By using spectral analysis is able to find abnormalities of brain functionality and connectivity linked to abnormal ADHD behaviors. The objective of the current work was to study and compare the efficacy & accuracy of QEEG for diagnosis of ADHD children, to assess the spectral characteristic of QEEG findings within cases of ADHD, to detect the presence of specific EEG findings that might help in diagnosis. Methodology The current study was conducted on 60 school aged children range from 6-15 years (60 ADHD children matching DSM-5 criteria) and 20 typically developing children. All cases were subjected to thorough history taking and clinical examination with special attention to neurological examination. Both cases and controls were subjected to QEEG analysis and interpretation. All studied children had undergone assessment with Arabic form of Conners’ Parent Rating Scale short form, IQ test, Arabic version of DSM-5. The present study revealed that: Increased levels of slow waves (predominantly theta) , decreased levels of relative Beta LF activity, and increased levels of Theta/Beta LF ratio, in QEEG of ADHD when compared to QEEGs of normal controls. The present study revealed significant differences between ADHD cases & control at all regions of brain; according to average amplitude of power spectrum of all bands (Theta, Beta LF&HF) and Theta/Beta LF ratio. From this study we concluded that children with ADHD have QEEG dysfunctions that underlie their symptomatology. QEEG average of power spectral analysis (theta, beta LF and theta/beta LF ratio) can differentiate between ADHD cases (abnormal power) & normal population (normal power).

CEREBRAL ENERGY METABOLISM IN YOUNG PEOPLE DURING ADAPTATION TO THE CONDITIONS OF THE ARCTIC REGION

Aim. The article deals with determining the features of cerebral energy metabolism in young people at different stages of adaptation in the Arctic region. Materials and methods. The level of permanent brain direct current potentials (DCP) was measured in 146 young people: 93 born and permanently living in the Arctic region and 53 migrants living in new climatic conditions for the first months. The study was conducted by using a “Neuro-KM” 12-channel hardware-software complex for the topographic mapping of brain electrical activity. DCP were recorded in the unipolar leads according to the 10-20 international system. Statistical processing of the data obtained was carried out with the software package SPSS-20 for Windows. Results. In young people permanently living in the Arctic region, we revealed functional asymmetry of the brain with right-hemisphere dominance in almost all leads. In migrants living in the climatic conditions of the Arctic region for the first months, we established high values of energy consumption and partial asymmetry of cerebral energy metabolism. Conclusion. Body functioning in the usual habitat is characterized by a stereotypical set of regulatory mechanisms. During adaptation, new ways of responding to changes in the environment are formed. The dominance of the right or left hemisphere occurs depending on the type of tasks. The analysis of interhemispheric asymmetry of energy consumption performed by using the method of brain mapping allows assessing the degree of dominance. The dominance of energy consumption in the left hemisphere may indicate a possible failure of adaptation mechanisms. Positive interhemispheric gradients indicate the correct performance of CNS regulatory mechanisms during adaptation to new environmental conditions

Changes of cardiac autonomic nervous function and nonlinear EEG analysis in patients with depression

Objective To study the changes of cardiac autonomic nervous function and EEG non-linear dynamics character in depressive patients, and to explore the functional activity state of brain. Methods 24-hour ambulatory ECG was recorded in 47 depressive patients and 47 normal control people by multi-channel ECG machine. The index of heart rate variability, the incidence of arrhythmias and the relationship between HRV and the severity of depression were analyzed. Results Compared with the control group, the standard deviation of NN intervals(SDNN)((91.31±15.11)ms), the standard deviation of normal number of intervals(SDANN)((82.14±16.26)ms), the root mean square of successive differences (RMSSD)((37.13±8.02)ms), the percentage of pairs of adjacent RR intervals differing by >50 ms (PNN50)(11.05±7.02) and High-frequency(HF)((17.07±4.34)ms) in depression group were lower, however low-frequency(LF)((18.27±6.32)ms) and LF/HF((1.07±0.33)ms) were higher(P<0.05). There were positive linear correlation between depression severity and LF/HF(P <0.05, r=0.332) and negative linear correlation between depression severity and SDNN(P<0.05, r=-0.296). Compared with control group, the incidence rate of arrhythmia of depressive group was increased, especially in supraventricular arrhythmias. In quiet state with eyes closed: compared with the control group, the level of correlation dimension (D2) in left occiput, left middle and behind temple region were increased in group A, but the difference was not statistically significant.In group B, except prefrontal area, the D2 of the left hemisphere were increased especially in the left central area(3.91±0.37), left parietal lobe(3.85±0.43), left occipital(4.10±0.54)and left temporal(4.20±0.61) compared with control group (P<0.01). The brain electrical activity in other areas were not found change. Conclusion The cardiac autonomic nervous function of depressive patient is positively correlated with the the severity of depression.Depressive patients are likelyto conduct supraventricular arraythmia. Left hemisphere cerebral cortex is active in depressive patients by analysing the EEG non-linear dynamics character. Key words: Depression; Autonomic nervous; Heart rate variability; Brain electrical activity mapping; Correlation dimension

Changes in EEG indices and serotonin concentrations in depression and anxiety disorders

Electroencephalogram (EEG) is an important tool to study brain function. EEG can evaluate the current functional state of the brain with high temporal resolution and identify metabolic and ion disorders that cannot be detected by magnetic resonance imaging. Objective: to analyze the relationship between some neurophysiological and biochemical parameters with a Neuro-KM hardware-software complex for the topographic mapping of brain electrical activity. Patients and methods. 75 patients with depression, 101 with anxiety disorders (AD), and 86 control individuals were examined. EEG spectrum and coherence changes were estimated in the depression and AD groups versus the control group. Correlation analysis of EEG indices and blood serotonin concentrations was carried out. Results and discussion. The patients with depression and those with AD as compared to the controls were observed to have similar EEG spectral changes in the beta band. Coherence analysis in the beta-band showed that both disease groups versus the control group had oppositely directed changes: a reduction in intra- and interhemispheric coherence for depression and its increase for AD (p < 0.001). That in the theta and alpha bands revealed that both disease groups had unidirectional interhemispheric coherence changes: a decrease in integration in the alpha band and its increase in the theta and delta bands in the depression and AD groups (p < 0.05) and multidirectional changes in intrahemispheric coherence: its reduction in the depression group and an increase in the AD group (p < 0.05). Correlation analysis of EEG parameters and platelet serotonin concentrations showed opposite correlations of serotonin concentrations and EEG percentage power in the theta and beta bands. When there were higher serotonin concentrations in the patients with depression, EEG demonstrated a preponderance of a synchronization pattern; when these were in the patients with AD, there was a predominance of a desynchronization pattern. Conclusion. The specific features of EEG in the depression and AD groups may indicate serotonin metabolic disorders and the efficiency of therapy with selective serotonin reuptake inhibitors.

Electroencephalogram characteristics in patients with chronic fatigue syndrome.

ObjectiveTo explore the electroencephalogram (EEG) characteristics in patients with chronic fatigue syndrome (CFS) using brain electrical activity mapping (BEAM) and EEG nonlinear dynamical analysis.MethodsForty-seven outpatients were selected over a 3-month period and divided into an observation group (24 outpatients) and a control group (23 outpatients) by using the non-probability sampling method. All the patients were given a routine EEG. The BEAM and the correlation dimension changes were analyzed to characterize the EEG features.Results1) BEAM results indicated that the energy values of δ, θ, and α1 waves significantly increased in the observation group, compared with the control group (P<0.05, P<0.01, respectively), which suggests that the brain electrical activities in CFS patients were significantly reduced and stayed in an inhibitory state; 2) the increase of δ, θ, and α1 energy values in the right frontal and left occipital regions was more significant than other encephalic regions in CFS patients, indicating the region-specific encephalic distribution; 3) the correlation dimension in the observation group was significantly lower than the control group, suggesting decreased EEG complexity in CFS patients.ConclusionThe spontaneous brain electrical activities in CFS patients were significantly reduced. The abnormal changes in the cerebral functions were localized at the right frontal and left occipital regions in CFS patients.

In India, psychiatry has come a long way.

This Presidential Address of the Bombay Psychiatry Society covers the state of psychiatry in India in 1997. It posits that with the advent of newer brain imaging technologies in India such as computerised tomography, magnetic resonance imaging, single photon emission computerised tomography and brain electrical activity mapping, an era of evidence-based psychiatry in India has arrived. The Address cautions against the dehumanising potential of excessive reliance on technology. The need for a greater emphasis on psychiatry during undergraduate medical education is discussed along with the need to destigmatise psychiatric disorders. Finally, the need to encourage quality research in psychiatric disorders is stressed.

Fabric Hand-Feel Evaluation Based on Neurophysiology: An Event-Related Potential Study

Fabric hand-feel is an important indicator of textile comprehensive evaluation. In the past century, many achievements have been made in characterization and evaluation of fabric hand-feel. With the development of experimental methods, the electrophysiological technique was used in exploring the formation mechanism and cognitive principle of fabric hand-feel. In this paper, event-related potential (ERP) technique was used in revealing the difference of handfeel between polyester and silk. The exogenous component P2 showed that polyester caused more excitability in human brain. However, the endogenous component P3 indicated that silk caused more soft and comfortable feelings. Even more amazingly, touching fabrics caused significant activation of the visual cortex from the Brain Electrical Activity Mapping (BEAM), and it is also shown that the potential distribution evoked by grasping silk is wider than the polyester’s. All the experiment results show that potential variation of the cerebral cortex is closely related to perceptual cognition and process. All the above findings show that event-related potential technique is feasible and effective in detecting the differences of tactile cognition, and it provides objective evidence from neurophysiologic in fabric hand-feel research.

Central auditory processing during chronic tinnitus as indexed by topographical maps of the mismatch negativity obtained with the multi-feature paradigm

This study aimed to compare the neural correlates of acoustic stimulus representation in the auditory sensory memory on an automatic basis between tinnitus subjects and normal hearing (NH) controls, using topographical maps of the MMNs obtained with the multi-feature paradigm. A new and faster paradigm was adopted to look for differences between 2 groups of subjects. Twenty-eight subjects with chronic subjective idiopathic tinnitus and 33 matched healthy controls were included in the study. Brain electrical activity mapping of multi-feature MMN paradigm was recorded from 32 surface scalp electrodes. Three MMN parameters for five deviants consisting frequency, intensity, duration, location and silent gap were compared between the two groups. The MMN amplitude, latency and area under the curve over a region of interest comprising: F3, F4, Fz, FC3, FC4, FCz, and Cz were computed to provide better signal to noise ratio. These three measures could differentiate the cognitive processing disturbances in tinnitus sufferers. The MMN topographic maps revealed significant differences in amplitude and area under the curve for frequency, duration and silent gap deviants in tinnitus subjects compared to NH controls. The current study provides electrophysiological evidence supporting the theory that the pre-attentive and automatic central auditory processing is impaired in individuals with chronic tinnitus. Considering the advantages offered by the MMN paradigm used here, these data might be a useful reference point for the assessment of sensory memory in tinnitus patients and it can be applied with reliability and success in treatment monitoring.

Study on a Real-Time BEAM System for Diagnosis Assistance Based on a System on Chips Design

As an innovative as well as an interdisciplinary research project, this study performed an analysis of brain signals so as to establish BrainIC as an auxiliary tool for physician diagnosis. Cognition behavior sciences, embedded technology, system on chips (SOC) design and physiological signal processing are integrated in this work. Moreover, a chip is built for real-time electroencephalography (EEG) processing purposes and a Brain Electrical Activity Mapping (BEAM) system, and a knowledge database is constructed to diagnose psychosis and body challenges in learning various behaviors and signals antithesis by a fuzzy inference engine. This work is completed with a medical support system developed for the mentally disabled or the elderly abled.

Cortical Representation of the Vestibular System as Evidenced by Brain Electrical Activity Mapping of Vestibular Late Evoked Potentials

We examined the space and temporal distributions of the rotatory evoked brain electrical activity patterns (brain electrical activity mapping of vestibular evoked potentials [VestEP]) in humans. We performed a longitudinal scalp line analysis, transversal line analysis, and clockwise/counterclockwise rotation analysis of the VestEP principal components in 75 healthy persons aged 22 to 30 years (mean: 25.8). We found that the shortest VestEP latencies and the highest amplitudes were registered in a relatively distinct cortical area that is covered by the transversal electrode line T3-C3-Cz-C4-T4, in accordance with the 10/20 international electrode scheme. This area corresponds to the posterior part of the frontal lobe (Brodmann's area 4, the primary motor field of the isocortex) and the anterior parts of the cerebral parietal lobe (the gyrus postcentralis, which corresponds to the primary somatosensory fields, Brodmann's areas 1, 2, and 3). In this article, we discuss a method of investigation that exhibits the VestEPs, and we review one normal case and three typical cases of pathologic VestEPs.

Spatial attentional deficits (neglect syndrome) in humans following brain damage - brain electrical activity mapping

Spatial attentional deficits (neglect syndrome) in humans following brain damage - brain electrical activity mapping

Brain electrical activity mapping (BEAM) in partial epilepsy of infants

Brain electrical activity mapping (BEAM) in partial epilepsy of infants

Topographic mapping of brain electrical activity in children with food-induced attention deficit hyperkinetic disorder

In 15 children suffering from food induced attention deficit hyperkinetic syndrome, topographic EEG mapping of brain electrical activity was carried out following avoidance and ingestion of previously identified provoking foods. A crossover design was used and recordings were interpreted independently by two investigators, one of whom was blind to the order of testing. During consumption of provoking foods there was a significant increase in betal activity in the frontotemporal areas of the brain. This investigation is the first one to show an association between brain electrical activity and intake of provoking foods in children with food-induced attention deficit hyperactivity disorder. These data support the hypothesis that in a subgroup of children with attention deficit hyperactivity disorder certain foods may not only influence clinical symptoms but may also alter brain electrical activity.

Brain electrical activity mapping in intractable epilepsy

Brain electrical activity mapping in intractable epilepsy