journal
https://read.qxmd.com/read/38406207/eeg-multi-domain-feature-transfer-based-on-sparse-regularized-tucker-decomposition
#1
JOURNAL ARTICLE
Yunyuan Gao, Congrui Zhang, Jincheng Huang, Ming Meng
Tensor analysis of electroencephalogram (EEG) can extract the activity information and the potential interaction between different brain regions. However, EEG data varies between subjects, and the existing tensor decomposition algorithms cannot guarantee that the features across subjects are distributed in the same domain, which leads to the non-objectivity of the classification result and analysis, In addition, traditional Tucker decomposition is prone to the explosion of feature dimensions. To solve these problems, combined with the idea of feature transfer, a novel EEG tensor transfer algorithm, Tensor Subspace Learning based on Sparse Regularized Tucker Decomposition (TSL-SRT), is proposed in this paper...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406206/pruning-and-quantization-algorithm-with-applications-in-memristor-based-convolutional-neural-network
#2
JOURNAL ARTICLE
Mei Guo, Yurui Sun, Yongliang Zhu, Mingqiao Han, Gang Dou, Shiping Wen
The human brain's ultra-low power consumption and highly parallel computational capabilities can be accomplished by memristor-based convolutional neural networks. However, with the rapid development of memristor-based convolutional neural networks in various fields, more complex applications and heavier computations lead to the need for a large number of memristors, which makes power consumption increase significantly and the network model larger. To mitigate this problem, this paper proposes an SBT-memristor-based convolutional neural network architecture and a hybrid optimization method combining pruning and quantization...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406205/gait-classification-for-early-detection-and-severity-rating-of-parkinson-s-disease-based-on-hybrid-signal-processing-and-machine-learning-methods
#3
JOURNAL ARTICLE
Qinghui Wang, Wei Zeng, Xiangkun Dai
Parkinson's disease (PD) is one of the cognitive degenerative disorders of the central nervous system that affects the motor system. Gait dysfunction represents the pathology of motor symptom while gait analysis provides clinicians with subclinical information reflecting subtle differences between PD patients and healthy controls (HCs). Currently neurologists usually assess several clinical manifestations of the PD patients and rate the severity level according to some established criteria. This is highly dependent on clinician's expertise which is subjective and ineffective...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406204/examining-the-low-voltage-fast-seizure-onset-and-its-response-to-optogenetic-stimulation-in-a-biophysical-network-model-of-the-hippocampus
#4
JOURNAL ARTICLE
Liyuan Zhang, Zhiyuan Ma, Ying Yu, Bao Li, Shuicai Wu, Youjun Liu, Gerold Baier
Low-voltage fast (LVF) seizure-onset is one of the two frequently observed temporal lobe seizure-onset patterns. Depth electroencephalogram profile analysis illustrated that the peak amplitude of LVF onset was deep temporal areas, e.g., hippocampus. However, the specific dynamic transition mechanisms between normal hippocampal rhythmic activity and LVF seizure-onset remain unclear. Recently, the optogenetic approach to gain control over epileptic hyper-excitability both in vitro and in vivo has become a novel noninvasive modulation strategy...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406203/exploring-recurrence-quantification-analysis-and-fractal-dimension-algorithms-for-diagnosis-of-encephalopathy
#5
JOURNAL ARTICLE
Sreejith Chandrasekharan, Jisu Elsa Jacob, Ajith Cherian, Thomas Iype
Electroencephalography (EEG) is a crucial non-invasive medical tool for diagnosing neurological disorder called encephalopathy. There is a requirement for powerful signal processing algorithms as EEG patterns in encephalopathies are not specific to a particular etiology. As visual examination and linear methods of EEG analysis are not sufficient to get the subtle information regarding various neuro pathologies, non-linear analysis methods can be employed for exploring the dynamic, complex and chaotic nature of EEG signals...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406202/computational-insights-on-asymmetrical-d-1-and-d-2-receptor-mediated-chunking-implications-for-ocd-and-schizophrenia
#6
JOURNAL ARTICLE
Krisztina Szalisznyó, David N Silverstein
Repetitive thoughts and motor programs including perseveration are bridge symptoms characteristic of obsessive compulsive disorder (OCD), schizophrenia and in the co-morbid overlap of these conditions. The above pathologies are sensitive to altered activation and kinetics of dopamine <mml:math xmlns:mml="https://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>D</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:math> and <mml:math xmlns:mml="https://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>D</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math> receptors that differently influence sequence learning and recall...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406201/category-representation-in-primary-visual%C3%A2-cortex-after-visual-perceptual-learning
#7
JOURNAL ARTICLE
Zhaofan Liu, Yin Yan, Da-Hui Wang
UNLABELLED: The visual perceptual learning (VPL) leads to long-term enhancement of visual task performance. The subjects are often trained to link different visual stimuli to several options, such as the widely used two-alternative forced choice (2AFC) task, which involves an implicit categorical decision. The enhancement of performance has been related to the specific changes of neural activities, but few studies investigate the effects of categorical responding on the changes of neural activities...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406200/electric-field-effects-on-neuronal-input-output-relationship-by-regulating-nmda-spikes
#8
JOURNAL ARTICLE
Yaqin Fan, Xile Wei, Meili Lu, Jiang Wang, Guosheng Yi
UNLABELLED: Evidence shows that the dendritic polarization induced by weak electrical field (EF) can affect the neuronal input-output function via modulating dendritic integration of AMPA synapses, indicating that the supralinear dendritic integration of NMDA synapses can also be influenced by dendritic polarization. However, it remains unknown how dendritic polarization affects NMDA-type dendritic integration, and then contributes to neuronal input-output relationship. Here, we used a computational model of pyramidal neuron with inhomogeneous extracellular potentials to characterize the relationship among EF, dendritic integration, and somatic output...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406199/an-evaluation-of-inter-brain-eeg-coupling-methods-in-hyperscanning-studies
#9
JOURNAL ARTICLE
Xiaomeng Xu, Qiuyue Kong, Dan Zhang, Yu Zhang
UNLABELLED: EEG-based hyperscanning technology has been increasingly applied to analyze interpersonal interactions in social neuroscience in recent years. However, different methods are employed in various of studies without a complete investigation of the suitability of these methods. Our study aimed to systematically compare typical inter-brain EEG coupling methods, with simulated EEG data generated by real EEG data. In particular, two critical metrics of noise level and time delay were manipulated, and three different coupling models were tested...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406198/gamma-band-based-dynamic-functional-connectivity-in-pigeon-entopallium-during-sample-presentation-in-a-delayed-color-matching-task
#10
JOURNAL ARTICLE
Xiaoke Niu, Yanyan Peng, Zhenyang Jiang, Shuman Huang, Ruibin Liu, Minjie Zhu, Li Shi
Birds have developed visual cognitions, especially in discriminating colors due to their four types of cones in the retina. The entopallium of birds is thought to be involved in the processing of color information during visual cognition. However, there is a lack of understanding about how functional connectivity in the entopallium region of birds changes during color cognition, which is related to various input colors. We therefore trained pigeons to perform a delayed color matching task, in which two colors were randomly presented in sample stimuli phrases, and the neural activity at individual recording site and the gamma band functional connectivity among local population in entopallium during sample presentation were analyzed...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406197/a-novel-ternary-pattern-based-automatic-psychiatric-disorders-classification-using-ecg-signals
#11
JOURNAL ARTICLE
Burak Tasci, Gulay Tasci, Sengul Dogan, Turker Tuncer
Neuropsychiatric disorders are one of the leading causes of disability. Mental health problems can occur due to various biological and environmental factors. The absence of definitive confirmatory diagnostic tests for psychiatric disorders complicates the diagnosis. It's critical to distinguish between bipolar disorder, depression, and schizophrenia since their symptoms and treatments differ. Because of brain-heart autonomic connections, electrocardiography (ECG) signals can be changed in behavioral disorders...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406196/effect-of-conscious-conflict-on-the-subliminal-perception-of-table-tennis-players-from-the-electrophysiological-evidence-of-erp
#12
JOURNAL ARTICLE
Ruichen Jiang, Fei Xie, Anmin Li
UNLABELLED: Table tennis athletes possess a strong ability to identify subliminal stimuli and perform better (faster response time and lower error rate) than non-athletes in the subliminal priming experiment when the prime is congruent with the target stimulus. However, whether athletes perform equally well in the presence of interference stimuli around the target stimulus remains unknown. Effect of conflicts triggered by consciously perceived flanker stimuli on the subliminal perception were assessed using an experimental paradigm featuring flankers and a masked prime...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406195/graph-theoretical-brain-connectivity-measures-to-investigate-neural-correlates-of-music-rhythms-associated-with-fear-and-anger
#13
JOURNAL ARTICLE
Serap Aydın, Lara Onbaşı
The present study tests the hypothesis that emotions of fear and anger are associated with distinct psychophysiological and neural circuitry according to discrete emotion model due to contrasting neurotransmitter activities, despite being included in the same affective group in many studies due to similar arousal-valance scores of them in emotion models. EEG data is downloaded from OpenNeuro platform with access number of ds002721. Brain connectivity estimations are obtained by using both functional and effective connectivity estimators in analysis of short (2  sec ) and long (6  sec ) EEG segments across the cortex...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406194/detection-of-dynamic-changes-of-electrodermal-activity-to-predict-the-classroom-performance-of-college-students
#14
JOURNAL ARTICLE
Haiqing Yu, Minpeng Xu, Xiaolin Xiao, Fangzhou Xu, Dong Ming
It is emphasized in the Self-regulated learning (SRL) framework that self-monitoring of learning state is vital for students to keep effective in studying. However, it's still challenging to get an accurate and timely understanding of their learning states during classes. In this study, we propose to use electrodermal activity (EDA) signals which are deemed to be associated with physiological arousal state to predict the college student's classroom performance. Twenty college students were recruited to attend eight lectures in the classroom, during which their EDA signals were recorded simultaneously...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406193/multi-information-improves-the-performance-of-cca-based-ssvep-classification
#15
JOURNAL ARTICLE
Xiangguo Yin, Mingxing Lin
The target recognition algorithm based on canonical correlation analysis (CCA) has been widely used in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces. To reduce visual fatigue and improve the information transfer rate (ITR), how to improve the accuracy of algorithms within a short time window has become one of the main problems at present. There were filter bank CCA (FBCCA), individual template CCA (ITCCA), and temporally local CCA (TCCA), which improve the CCA algorithm from different aspects...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406192/correction-to-gamma-band-based-dynamic-functional-connectivity-in-pigeon-entopallium-during-sample-presentation-in-a-delayed-color-matching-task
#16
Xiaoke Niu, Yanyan Peng, Zhenyang Jiang, Shuman Huang, Ruibin Liu, Minjie Zhu, Li Shi
[This corrects the article DOI: 10.1007/s11571-022-09916-w.].
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/38406191/effect-of-stress-on-the-rehabilitation-performance-of-rats-with-repetitive-mild-fluid-percussion-induced-traumatic-brain-injuries
#17
JOURNAL ARTICLE
Yu-Lin Wang, Chi-Chun Chen, Ching-Ping Chang
Animal models of traumatic brain injury (TBI) have shown that impaired motor and cognitive function can be improved by physical exercise. However, not each animal with TBI can be well rehabilitated at the same training intensity due to a high inter-subject variability. Hence, this paper presents a two-stage wheel-based mixed-mode rehabilitation mechanism by which the effect of stress on the rehabilitation performance was investigated. The mixed-mode rehabilitation mechanism consists of a two-week adaptive and a one-week voluntary rehabilitation program as Stages 1 and 2, respectively...
February 2024: Cognitive Neurodynamics
https://read.qxmd.com/read/37974589/coherence-in-event-related-eeg-oscillations-in-patients-with-alzheimer-s-disease-dementia-and-amnestic-mild-cognitive-impairment
#18
JOURNAL ARTICLE
Ezgi Fide, Deniz Yerlikaya, Bahar Güntekin, Claudio Babiloni, Görsev G Yener
UNLABELLED: Objectives Working memory performances are based on brain functional connectivity, so that connectivity may be deranged in individuals with mild cognitive impairment (MCI) and patients with dementia due to Alzheimer's disease (ADD). Here we tested the hypothesis of abnormal functional connectivity as revealed by the imaginary part of coherency (ICoh) at electrode pairs from event-related electroencephalographic oscillations in ADD and MCI patients. Methods The study included 43 individuals with MCI, 43 with ADD, and 68 demographically matched healthy controls (HC)...
December 2023: Cognitive Neurodynamics
https://read.qxmd.com/read/37974588/cross-module-switching-diversity-of-brain-network-nodes-in-resting-and-cognitive-states
#19
JOURNAL ARTICLE
Chao Yi, Yongchen Fan, Ying Wu
UNLABELLED: Large-scale brain network dynamics reflect state change in brain activities and have potential effects on cognition. Such dynamics can be described by node temporal switching between modules; however, there are only a few studies on the influence of brain network node switching on brain cognition. Based on the functional magnetic resonance imaging (fMRI) data of resting and task states, we constructed dynamic functional networks using overlap sliding-time windows and applied multilayer network analysis to study the behaviours of nodes across brain modules...
December 2023: Cognitive Neurodynamics
https://read.qxmd.com/read/37974587/multiscale-information-interaction-at-local-frequency-band-in-functional-corticomuscular-coupling
#20
JOURNAL ARTICLE
Shengcui Cheng, Xiaoling Chen, Yuanyuan Zhang, Ying Wang, Xin Li, Xiaoli Li, Ping Xie
UNLABELLED: The multiscale information interaction between the cortex and the corresponding muscles is of great significance for understanding the functional corticomuscular coupling (FCMC) in the sensory-motor systems. Though the multiscale transfer entropy (MSTE) method can effectively detect the multiscale characteristics between two signals, it lacks in describing the local frequency-band characteristics. Therefore, to quantify the multiscale interaction at local-frequency bands between the cortex and the muscles, we proposed a novel method, named bivariate empirical mode decomposition-MSTE (BMSTE), by combining the bivariate empirical mode decomposition (BEMD) with MSTE...
December 2023: Cognitive Neurodynamics
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