Clinical EEG and neuroscience最新文献

Recognized as a transdiagnostic factor, emotion regulation (ER) is increasingly embedded into conceptualizations of psychopathology development and maintenance, emerging as a core component of treatment methodologies. Therefore, the incorporation of ER into various facets of affective sciences, including theoretical frameworks, experimental paradigms, assessment methods, and intervention strategies, raises new challenges, particularly regarding the measurement of ER. In the evaluation and understanding of complex, multifaceted processes like ER, the combination of different assessment methods encompassing diverse units of analysis across multiple domains encompassing cerebral, physiological, and behavioral measures can prove particularly interesting. Among these approaches, the concurrent recording of electroencephalographic (EEG) and electrodermal activity (EDA) emerges as a promising strategy, enabling a more holistic exploration of the ER process at both central and peripheral levels. This brief paper aims to explore current literature concerning the utilization of EEG and EDA in the investigation of ER and to bring arguments supporting their simultaneous recording in order to gain a better understanding of ER processes.

Major depressive disorder (MDD) is a disorder with multiple impairments, among which emotion disorder is the most main one. Nowadays, evoked activity (EA), such as event-related potential (ERP), has mostly been studied for MDD, but induced activity (IA) analysis is still lacking. In this paper, EA, IA and event-related spectral perturbation (ERSP) were studied and compared between MDD patients and healthy controls (HC). Electroencephalogram (EEG) of 26 healthy controls and 21 MDD patients were recorded during three different facial expression (positive, neutral, negative) recognition tasks. Two phases of task execution process were studied, the early stage (0-200 ms after stimuli), and the late stage (200-500 ms after stimuli). ERSP, EA index and IA index of θ (4-7 Hz), α (8-13 Hz) and β (14-30 Hz) frequency bands were calculated and compared between two groups for two phases, respectively. In the early stage, the results indicated a decreased IA in α band in MDD compared to HC in frontal and parieto-occipital areas during neutral and negative face recognition. During the late stage, reduced IA and lower ERSP were also observed in α band in frontal and parieto-occipital areas in MDD during neutral and negative face recognition. Moreover, IA in θ band in MDD was lower than HC during negative face recognition. The findings reflected the abnormality of negative emotion processing in MDD, which could help to interpret the neural mechanism of depression.

Objective. Perinatal hypoxia and/or hypoglycemia (PHH) is a serious condition leading to many neonatal deaths worldwide. It causes motor and cognitive deficits, visual disturbances, and seizures in survivors. There is limited information on the clinical course of seizures, EEG and MRI findings in adults. Methods. Adult patients with epilepsy due to PHH were included. Data on patients' demographic and clinical features, age at seizure onset, type and frequency of seizures, antiseizure medications and EEG features were extracted from electronic health records. Seizure outcome was classified as "seizure-free for at least one year at last follow up" versus "continuing seizures". Clinical and laboratory variables that could be associated with seizure outcome were investigated statistically in a subset of patients. Results. Forty-one patients (median age: 32 years) were included. Bilateral cerebral lesions, predominantly affecting the posterior regions, were present in 88% of the cases. Almost 80% experienced focal to bilateral tonic-clonic seizures. Approximately 60% of patients were on polytherapy. Half of the patients were seizure free at last follow-up. Seizure frequency decreased over time in 75% of the cohort. EEG demonstrated background slowing in 44% of patients, with epileptic discharges detected in 27%. The only variable correlated with seizure freedom was older age at seizure onset (P = .034). Conclusion. Almost half of the patients may reach seizure freedom. Seizure frequency decreases in 75% over time. Cranial MRI or EEG findings are not correlated with seizure outcomes. The only variable associated with seizure freedom at last follow up is older age at seizure onset.

Background: Electroencephalography (EEG) is a noninvasive technique for studying brain electrophysiology with high temporal resolution. Microstate analysis examines EEG recordings as a succession of quasi-stable microstates, allowing evaluation of extensive brain network activity linked to neuropsychiatric disorders like tinnitus. Objective: This study distinguishes tinnitus patients from healthy controls by using features acquired by microstate analysis. Methods: This study investigated EEG microstate differences between 16 healthy controls and 10 tinnitus patients. Four microstates were extracted and analyzed using Multivariate Analysis of Variance (MANOVA), revealing significant differences in duration, coverage, and occurrence between groups. Machine learning algorithms, including support vector machine (SVM) and K-Nearest Neighbors (KNN), and others were employed to classify tinnitus patients based on microstate features, achieving high accuracy, precision, specificity, recall, and F1-score. Results: MANOVA analysis revealed a significant difference in the duration of microstate A, which is associated with phonological processing and auditory perception, between the two groups. Additionally, significant differences in the coverage and occurrence of microstate B, related to visual networks, were observed. The SVM classifier achieved the highest accuracy of 96.44% in differentiating tinnitus patients from healthy controls, with impressive precision (97.64%), specificity (95.62%), and F1-score (97.24%). KNN also performed well, achieving a maximum recall of 97.24%. Conclusion: This study reveals the potential of EEG microstate analysis, incorporating time-related features, to improve tinnitus diagnosis and classification. Using SVM and KNN, we achieve high accuracy in identifying tinnitus-associated brain patterns, highlighting the clinical utility of EEG for neurological disease management.

People celebrate the 100th anniversary of the discovery of human EEG from various perspectives and envision its promising future. In 1948, 20 years after the discovery of human EEG, the first EEG equipment was introduced in China. A long and slow period of development followed. The number of EEG papers from China, about 20 a year, represented about 1/80 of the global total by the 70th anniversary of EEG in 1994. After a steady rise, Chinese EEG research reached about 1/3 of the global total by the 100th anniversary of EEG in 2024. Academic organizations related to EEG were established during this process, along with the widespread use of EEG in thousands of clinical hospitals and closely collaborating with international colleagues. Chinese and global EEG research are being bridged in this article to benefit mankind in the future by jointly creating more advancements in EEG technology.

This study aimed to investigate the characteristics of resting-state electroencephalography (EEG) activity and brain networks in patients with mild traumatic brain injury (mTBI) and their association with neurocognitive function (NCF). We analyzed 26 patients with subacute mTBI and 21 healthy controls. The subacute mTBI group (9 females, 17 males) had a mean age of 29.9 ± 9.9 years, and the healthy controls (11 females, 10 males) had a mean age of 29.7 ± 11.5 years. Current source density, lagged phase synchronization, and resting-state network activity were analyzed using exact low-resolution electromagnetic tomography (eLORETA) with 60 s resting-state EEG data. In addition, a correlation analysis was performed between these EEG parameters and NCF in patients with mTBI. We used the statistical nonparametric mapping method in eLORETA to correct for multiple comparisons. There were no significant differences in EEG parameters between the patients with mTBI and healthy controls. However, in patients with mTBI, correlation analysis revealed negative correlations between theta activity in the anterior cingulate cortex and verbal short-term memory and between activity in the memory perception network and verbal memory. Our findings suggest that resting-state EEG may be clinically useful in investigating the mechanism of NCF decline in patients with mTBI.

Objective: To investigate the neurophysiological and cognitive impairments in patients with obstructive sleep apnea (OSA) among the acute stroke population. Methods: A total of 268 acute ischemic stroke patients with OSA underwent sleep monitoring within 24 h of admission and event-related potential tests within three days. They were categorized into groups based on their AHI: stroke only, and stroke with mild, moderate, or severe OSA. This classification served to analyze the electrophysiological profiles associated with stroke and OSA severity. Results: Compared with the control group, in the P3b series, the P3b-FZ amplitude was significantly reduced in the stroke with mild, moderate, and severe OSA group; the N2-PZ latency was significantly prolonged in the stroke with severe OSA group; and the P3b-FZ, P3b-CZ, and P3b-FZ latencies were significantly prolonged in the stroke with mild, moderate, and severe OSA group; in the P3a series, the N2-CZ amplitude was decreased in the stroke with severe OSA group, P2-FZ latency was significantly prolonged in the stroke with mild and moderate OSA group, P3a-FZ latency was significantly prolonged in the stroke with mild OSA group, P3a-CZ latency was significantly prolonged in the stroke with severe OSA group, and P3a-PZ latency was significantly prolonged in the stroke with mild and severe OSA group. Conclusions: The electrophysiologic changes compared with the stroke-only group were mainly characterized by prolonged latencies of the endogenous components P3a and P3b, suggesting that they are related to attention allocation and cognitive control.

Artifacts on an electroencephalogram (EEG) - whether physiologic or non-physiologic - can be common and are important to recognize to prevent errors in interpretation. One such EEG artifact is an electroretinogram (ERG) artifact which occurs during photic stimulation. Typically, of a low amplitude, its presence is usually obscured by normal EEG activity over the frontopolar channels but it can appear prominent in very suppressed or EEG recordings showing electrocerebral inactivity. Overall, rarely reported in the literature, the purpose of this case report is to highlight the presence of an ERG artifact in a teenage boy where EEG was obtained after a cerebral anoxic event. It is important that EEG readers identify this to be a non-cerebral waveform in order to provide an accurate assessment of neurologic prognosis.

Backgrounds: Brain morphological biomarkers could contribute to understanding the treatment response in patients with obsessive-compulsive disorder (OCD). Multimodal neuroimaging addresses this issue by providing more comprehensive information regarding neural processes and structures. Objectives. The present study aims to investigate whether patients responsive to deep Transcranial Magnetic Stimulation (TMS) differ from non-responsive individuals in terms of electrophysiology and brain morphology. Secondly, to test whether multimodal neuroimaging is superior to unimodal neuroimaging in predicting response to deep TMS. Methods. Thirty-two OCD patients who underwent thirty sessions of deep TMS treatment were included in the study. Based on a minimum 50% reduction in Yale-Brown Obsessive Compulsive Scale (Y-BOCS) scores after treatment, patients were grouped as responders (n = 25) and non-responders (n = 7). The baseline resting state qEEG and magnetic resonance imaging (MRI) records of patients were recorded. Independent sample t-test is used to compare the groups. Then, three logistic regression model were calculated for only QEEG markers, only MRI markers, and both QEEG/MRI markers. The predictive values of the three models were compared. Results. OCD patients who responded to deep TMS treatment had increased Alpha-2 power in the left temporal area and increased volume in the left temporal pole, entorhinal area, and parahippocampal gyrus compared to non-responders. The logistic regression model showed better prediction performance when both QEEG and MRI markers were included. Conclusions. This study addresses the gap in the literature regarding new functional and structural neuroimaging markers and highlights the superiority of multimodal neuroimaging to unimodal neuroimaging techniques in predicting treatment response.

Objective. Electroencephalographic neurofeedback (EEG NF) or its effects on event-related potentials (ERPs) in quantitative EEG have not yet been systematically studied in cancer patients. The aim of this study was to investigate the emotional arousal and valence effects on the event-related P300 in a visual oddball paradigm by an individualized EEG alpha and theta/beta NF intervention in cancer patients and survivors (N = 18, age between 31 and 73 years). Methods. ERPs to low and high arousal target stimuli with either emotional positive or negative content and depressive state were obtained in cancer patients before and after a five-week NF intervention in a waitlist paradigm, following the consensus on the reporting and experimental design of clinical and cognitive-behavioral NF studies (CRED-nf checklist). Results. Overall, P300 amplitudes decreased significantly (p < .05) from pre to post therapy. Effects concerning high arousal stimuli with negative and positive valences were on the border to significance. Moreover, patients achieved significant relief of depressive symptoms (p < .05). Especially younger participants (<55 yrs.) benefited. Conclusions. P300 observations could reflect a therapeutic effect on brain activity level. EEG NF alleviates depressive symptoms in cancer patients. Significance. Based on these findings, further studies are needed to investigate the effects on event-related potentials by NF therapy.