Clinical EEG and Neuroscience最新文献

Deep Learning-Based Artificial Intelligence Can Differentiate Treatment-Resistant and Responsive Depression Cases with High Accuracy 基于深度学习的人工智能可高精度区分抗药性和应答性抑郁症病例

IF 2 4区医学

Clinical EEG and Neuroscience Pub Date : 2024-09-10 DOI: 10.1177/15500594241273181

Sinem Zeynep Metin, Çağlar Uyulan, Shams Farhad, Türker Tekin Ergüzel, Ömer Türk, Barış Metin, Önder Çerezci, Nevzat Tarhan

{"title":"Deep Learning-Based Artificial Intelligence Can Differentiate Treatment-Resistant and Responsive Depression Cases with High Accuracy","authors":"Sinem Zeynep Metin, Çağlar Uyulan, Shams Farhad, Türker Tekin Ergüzel, Ömer Türk, Barış Metin, Önder Çerezci, Nevzat Tarhan","doi":"10.1177/15500594241273181","DOIUrl":"https://doi.org/10.1177/15500594241273181","url":null,"abstract":"Background: Although there are many treatment options available for depression, a large portion of patients with depression are diagnosed with treatment-resistant depression (TRD), which is characterized by an inadequate response to antidepressant treatment. Identifying the TRD population is crucial in terms of saving time and resources in depression treatment. Recently several studies employed various methods on EEG datasets for automatic depression detection or treatment outcome prediction. However, no previous study has used the deep learning (DL) approach and EEG signals for detecting treatment resistance. Method: 77 patients with TRD, 43 patients with non-TRD, and 40 healthy controls were compared using GoogleNet convolutional neural network and DL on EEG data. Additionally, Class Activation Maps (CAMs) acquired from the TRD and non-TRD groups were used to obtain distinctive regions for classification. Results: GoogleNet classified the healthy controls and non-TRD group with 88.43%, the healthy controls and TRD subjects with 89.73%, and the TRD and non-TRD group with 90.05% accuracy. The external validation accuracy for the TRD-non-TRD classification was 73.33%. Finally, the CAM analysis revealed that the TRD group contained dominant features in class detection of deep learning architecture in almost all electrodes. Limitations: Our study is limited by the moderate sample size of clinical groups and the retrospective nature of the study. Conclusion: These findings suggest that EEG-based deep learning can be used to classify treatment resistance in depression and may in the future prove to be a useful tool in psychiatry practice to identify patients who need more vigorous intervention.","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142218154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Brain Stimulator (DBS) Artifact in the EEG of a Pediatric Patient. 一名儿科患者脑电图中的深部脑刺激器 (DBS) 伪影。

IF 1.6 4区医学

Clinical EEG and Neuroscience Pub Date : 2024-09-01 Epub Date: 2023-08-23 DOI: 10.1177/15500594231194958

Jennifer V Gettings, Robert C Stowe

引用次数: 0

Classification of BCI Multiclass Motor Imagery Task Based on Artificial Neural Network. 基于人工神经网络的 BCI 多类运动图像任务分类。

IF 2 4区医学

Clinical EEG and Neuroscience Pub Date : 2024-07-01 Epub Date: 2023-01-05 DOI: 10.1177/15500594221148285

Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam

{"title":"Classification of BCI Multiclass Motor Imagery Task Based on Artificial Neural Network.","authors":"Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam","doi":"10.1177/15500594221148285","DOIUrl":"10.1177/15500594221148285","url":null,"abstract":"Motor imagery (MI) signals recorded by electroencephalography provide the most practical basis for conceiving brain-computer interfaces (BCI). These interfaces offer a high degree of freedom. This helps people with motor disabilities communicate with the device by tackling a sequence of motor imagery tasks. However, the extracting user-specific features and increasing the accuracy of the classifier remain as difficult tasks in MI-based BCI. In this work, we propose a new method using artificial neural network (ANN) enhancing the performance of the motor imagery classification. Feature extraction techniques, like time domain parameters, band power features, signal power features, and wavelet packet decomposition (WPD), are studied and compared. Four classification algorithms are implemented which are Quadratic Discriminant Analysis, k-Nearest Neighbors, Linear Discriminant Analysis, and proposed ANN architecture. We added Batch Normalization layers to the proposed ANN architecture to improve the learning time and accuracy of the neural network. These layers also alleviate the effect of weight initialization and the addition of a regularization effect on the network. Our proposed method using ANN architecture achieves 0.5545 of kappa and 58.42% of accuracy on the BCI Competition IV-2a dataset. Our results show that the modified ANN method, with frequency and spatial features extracted by WPD and Common Spatial Pattern, respectively, offers a better classification compared to other current methods.","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10489778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multimodal Assessment of Smoking cue Reactivity During a Smoking Cue Exposure Task. 在吸烟线索暴露任务中对吸烟线索反应性进行多模式评估。

IF 2 4区医学

Clinical EEG and Neuroscience Pub Date : 2024-05-01 Epub Date: 2022-11-25 DOI: 10.1177/15500594221138273

A M Kroczek, B Schröder, D Rosenbaum, A Mühleck, J Diemer, A Mühlberger, A J Fallgatter, A Batra, A-C Ehlis

{"title":"Multimodal Assessment of Smoking cue Reactivity During a Smoking Cue Exposure Task.","authors":"A M Kroczek, B Schröder, D Rosenbaum, A Mühleck, J Diemer, A Mühlberger, A J Fallgatter, A Batra, A-C Ehlis","doi":"10.1177/15500594221138273","DOIUrl":"10.1177/15500594221138273","url":null,"abstract":"Background. Cue-reactivity as a characteristic symptom of substance use disorders (SUD) is highly context dependent. Paradigms with high context validity need to be established for the investigation of underlying neurobiological mechanisms. While craving can be assessed by self-report as one aspect of cue-reactivity (CR), the assessment of biological measures such as the autonomous response and EEG promises a holistic perspective including CR at an automatized level. In a multimodal approach, smoking cue exposure (CE) effects on heart rate variability (HRV), EEG frequency power, and craving as well as their interrelation were assessed. This pilot study focused on the validity of CR measurements in a naturalistic CE paradigm. Methods. EEG frequency power, HRV, and craving were assessed during resting state (RS) and smoking CE in smokers (n = 14) and nonsmoking controls (n = 10) to investigate the psychophysiological and subjective reactions to CE. Results. Increased beta power was found only in smokers during CE compared to the control condition. There was an inverse correlation of beta power and maximum craving. Likewise, HRV correlated negatively with maximum smoking urges in smokers immediately after the measurements, without differentiation between CE and control condition. Conclusion. The increased beta power in smokers during CE is discussed as increased inhibitory control related to reduced craving in smokers. Furthermore, increased craving during CE seems to be associated to decreased vagal activity. The multimodal measurements during the CE showed ecological validity to be fundamental for CE assessment in clinical populations to evaluate its predictive value.","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11020128/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40485241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The EEG Features of Four Cases of Subacute Sclerosing Panencephalitis in North China: SSPE EEG Features. 华北地区四例亚急性硬化性泛脑炎病例的脑电图特征：SSPE 脑电图特征。

IF 2 4区医学

Clinical EEG and Neuroscience Pub Date : 2024-05-01 Epub Date: 2022-11-06 DOI: 10.1177/15500594221137050

Jiang-Tao Wang, Jie Han, Ming-Guang Wang, Xiao-Hua Hou, Zai-Fen Gao, Yan-Feng Zhang, Jian-Min Liang

{"title":"The EEG Features of Four Cases of Subacute Sclerosing Panencephalitis in North China: SSPE EEG Features.","authors":"Jiang-Tao Wang, Jie Han, Ming-Guang Wang, Xiao-Hua Hou, Zai-Fen Gao, Yan-Feng Zhang, Jian-Min Liang","doi":"10.1177/15500594221137050","DOIUrl":"10.1177/15500594221137050","url":null,"abstract":"Objective. To analyze the EEG features of four subacute sclerosing panencephalitis cases in North China. Methods. We retrospectively analyzed the EEG features in four patients with subacute sclerosing panencephalitis and 12 patients in control group from North China. Results. The periodic long-interval diffuse discharges were found in all of the four cases with subacute sclerosing panencephalitis. The morphology and component of periodic complexes were varied in different patients and different wakefulness states. Some EEG parameter settings help to identify periodic long-interval diffuse discharges including the slowed sweep speed, decreased sensitivity and reduced number of montages. In each patient with subacute sclerosing panencephalitis, the periodic long-interval diffuse discharges associated with two types of brief episodes (1:1) during awake period were found and none of the patients in the control group had this EEG pattern. The score system based on the periodic discharges and brief episodes also shows that all the patients with SSPE reached score 5 while none of the patients in the control group has a score greater than 3, which suggests that this EEG pattern may have diagnostic value. Conclusions. In subacute sclerosing panencephalitis, the morphology and component of periodic long-interval diffuse discharges were varied in different patients and different wakefulness states. Specific EEG parameter settings help to identify periodic long-interval diffuse discharges. Periodic long-interval diffuse discharges associated with two types of brief episodes (1:1) during awake period may strongly suggest the diagnosis of subacute sclerosing panencephalitis.","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40471979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Source Localization and Spectrum Analyzing of EEG in Stuttering State upon Dysfluent Utterances. 口吃状态下的脑电波源定位和频谱分析。

IF 2 4区医学

Clinical EEG and Neuroscience Pub Date : 2024-05-01 Epub Date: 2023-01-10 DOI: 10.1177/15500594221150638

Masoumeh Bayat, Reza Boostani, Malihe Sabeti, Fariba Yadegari, Mohammadreza Pirmoradi, K S Rao, Mohammad Nami

{"title":"Source Localization and Spectrum Analyzing of EEG in Stuttering State upon Dysfluent Utterances.","authors":"Masoumeh Bayat, Reza Boostani, Malihe Sabeti, Fariba Yadegari, Mohammadreza Pirmoradi, K S Rao, Mohammad Nami","doi":"10.1177/15500594221150638","DOIUrl":"10.1177/15500594221150638","url":null,"abstract":"Purpose: The present study which addressed adults who stutter (AWS) attempted to investigate power spectral dynamics in the stuttering state by answering the questions using quantitative electroencephalography (qEEG). Method: A 64-channel electroencephalography (EEG) setup was used for data acquisition at 20 AWS. Since the speech, especially stuttering, causes significant noise in the EEG, 2 conditions of speech preparation (SP) and imagined speech (IS) were considered. EEG signals were decomposed into 6 bands. The corresponding sources were localized using the standard low-resolution electromagnetic tomography (sLORETA) tool in both fluent and dysfluent states. Results: Significant differences were noted after analyzing the time-locked EEG signals in fluent and dysfluent utterances. Consistent with previous studies, poor alpha and beta suppression in SP and IS conditions were localized in the left frontotemporal areas in a dysfluent state. This was partly true for the right frontal regions. In the theta range, disfluency was concurrence with increased activation in the left and right motor areas. Increased delta power in the left and right motor areas as well as increased beta2 power over left parietal regions was notable EEG features upon fluent speech. Conclusion: Based on the present findings and those of earlier studies, explaining the neural circuitries involved in stuttering probably requires an examination of the entire frequency spectrum involved in speech.","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10520211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Resting-state Quantitative EEG Spectral Patterns in Migraine During Ictal Phase Reveal Deviant Brain Oscillations: Potential Role of Density Spectral Array. 偏头痛的静息态定量脑电图频谱模式揭示了偏离的大脑振荡：密度谱阵列的潜在作用。

IF 2 4区医学

Clinical EEG and Neuroscience Pub Date : 2024-05-01 Epub Date: 2022-12-06 DOI: 10.1177/15500594221142951

Pooja Ojha, Samhita Panda

{"title":"Resting-state Quantitative EEG Spectral Patterns in Migraine During Ictal Phase Reveal Deviant Brain Oscillations: Potential Role of Density Spectral Array.","authors":"Pooja Ojha, Samhita Panda","doi":"10.1177/15500594221142951","DOIUrl":"10.1177/15500594221142951","url":null,"abstract":"Background. Migraine headache may have a substantial bearing on the brain functions and rhythms. Electrophysiological methods can detect changes in brain oscillation. The present work examined the frequency band power through quantitative electroencephalogram (qEEG) and density spectral array (DSA) to elucidate the resting state neuronal oscillations in migraine. Methods. Clinical details were inquired, and EEG was recorded in migraineurs and healthy controls. The acquired data were analyzed to determine power spectral density values and obtain DSA graphs. The absolute and relative powers for the alpha, theta, and delta frequencies in frontocentral, parieto-occipital, and temporal regions were determined. A correlation of significant EEG findings with clinical features of migraine was sought. Results. Forty-five participants were enrolled in the study. The spectrum analysis revealed an increase in the relative theta power (P < .001) and a reduction in relative alpha power (P < .001) in the observed cortical areas among the migraineurs as compared to the healthy controls. Relative delta power was increased over the frontocentral region (P = .001), slightly more on the symptomatic side of the head. In addition, frontocentral delta power had a moderate positive correlation (r = .697, n = 22, P = .000) with migraine severity. Conclusion. The study supports the evidence of a neuronal dysfunction existing in the resting state during the ictal phase of migraine. qEEG can reveal these aberrant oscillations. Utility of DSA to depict the changes in brain activity in migraine is a potential area for research. The information can help formulate new therapeutic strategies towards alteration in cortical excitability using brain stimulation techniques.","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35260495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 2 4区医学

Clinical EEG and Neuroscience Pub Date : 2024-05-01 DOI: 10.1177/15500594241249511

Amit Kanthi, Singh Deepeshwar, Kaligal Chidananda, Mahadevappa Vidyashree, Dwivedi Krishna

{"title":"Event-Related Potential Changes Following 12-week Yoga Practice in T2DM Patients: A Randomized Controlled Trial","authors":"Amit Kanthi, Singh Deepeshwar, Kaligal Chidananda, Mahadevappa Vidyashree, Dwivedi Krishna","doi":"10.1177/15500594241249511","DOIUrl":"https://doi.org/10.1177/15500594241249511","url":null,"abstract":"Introduction. Type 2 diabetes patients are more likely to experience cognitive decline (1.5%) and dementia (1.6%) than healthy individuals. Although cognitive impairment adversely affects Type 2 diabetes mellitus (T2DM) patients, it is the least addressed complication of T2DM patients. Objective. The present study attempts to examine the changes in cognitive performance of T2DM patients and the probable factors contributing to the changes following 12-week yoga practice. Methods. The current study is a parallel group randomized controlled trial that compared the outcomes of the participants randomized to a yoga group (YG) ( n = 25) and to a wait-list control group ( n = 29). The study assessed N200 and N450 event-related potential (ERP) components following the Stroop task, heart rate variability (HRV) and HbA1c before and after the intervention. Results. The mean amplitude of the N200 ERP component showed a significant group difference after the intervention, demonstrating an improved neural efficiency in the process of conflict monitoring and response inhibition. No differences were present for the N450 component. T2DM patients showed reduced heart rate and increased mean RR following yoga practice without any corresponding changes in other HRV parameters, demonstrating an overall improvement in cardiac activity. Along with that yoga practice also reduced HbA1c levels in T2DM patients, indicating improved glycemic control. Moreover, HbA1c levels were negatively correlated with reaction time after the intervention, indicating an impact of glycemic control on cognitive performance. Conclusion. The 12-week yoga practice improved cognitive performance by enhancing the processes of conflict monitoring and response inhibition. Further, improved cognitive performance postintervention was facilitated by improved glycemic control.","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140831457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impaired Visual Inhibition in Amnestic Mild Cognitive Impairment. 失忆性轻度认知障碍患者的视觉抑制能力受损

IF 2 4区医学

Clinical EEG and Neuroscience Pub Date : 2024-05-01 Epub Date: 2022-11-03 DOI: 10.1177/15500594221136856

Gionata Strigaro, Benedetta Gori, Clara Zoccola, Alessandro Vinassa, Federica Cattaneo, Gianluca Avino, Paolo Barbero, Claudia Varrasi, Roberto Cantello

{"title":"Impaired Visual Inhibition in Amnestic Mild Cognitive Impairment.","authors":"Gionata Strigaro, Benedetta Gori, Clara Zoccola, Alessandro Vinassa, Federica Cattaneo, Gianluca Avino, Paolo Barbero, Claudia Varrasi, Roberto Cantello","doi":"10.1177/15500594221136856","DOIUrl":"10.1177/15500594221136856","url":null,"abstract":"Objective.The pathophysiology of amnestic mild cognitive impairment (aMCI) and Alzheimer disease (AD) is still a matter of debate. Visual system might be precociously altered, especially for its cholinergic connections. We thus studied patients with aMCI compared to AD with paired-pulse flash-visual evoked potentials (paired-F-VEPs), a putative marker of cholinergic function. Methods. We enrolled 12 adult patients with aMCI and 12 with AD. 14 normal age- and sex-matched subjects acted as controls (HS). Stimuli were single flashes, with interspersed random flash pairs at critical interstimulus intervals (ISIs, 16.5 to 125 ms) with closed eyes. The \"single\" (unconditioned) F-VEP was split into a \"main complex\" (50 to 200 ms after the flash) and a \"late response\" (200 to 400 ms). As for paired stimulation, the \"test\" F-VEP emerged from electronic subtraction of the \"single\" F-VEP from the \"paired\"-F-VEP. Results. In the single F-VEP, P2 latency was prolonged in patients (aMCI and AD) compared to HS (p < .05). As to the paired F-VEPs, in aMCI the \"late response\" normal inhibition was abolished at ISIs 50-62.5 ms (p ≤ .016), compared to AD and controls. No changes were detected for the \"main complex\". Conclusions. Paired-F-VEPs demonstrate a defective neural inhibition in the visual system of patients with aMCI at critical intervals. It may represent a compensatory mechanism against neuronal loss, the failure of which may be involved in AD development. Paired-F-VEPs may warrant inclusion in future preclinical/clinical studies, to evaluate its potential role in the pathophysiology and management of aMCI.","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40663924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of Four Different EEG-Neurofeedback Reinforcement Types in Healthy Individuals - A Pilot Study. 四种不同脑电图-神经反馈强化类型对健康人的影响--一项试点研究。

IF 2 4区医学

Clinical EEG and Neuroscience Pub Date : 2024-05-01 Epub Date: 2022-11-13 DOI: 10.1177/15500594221138278

Roland Mergl, Susanne Karch, Jennifer Henl, Dorothea Meindl, Felix Schöpf, Szilard I Szabo, Paulina Hallweger, Philipp Heiler, Maximilian Maywald, Nadja Tschentscher, Antje-Kathrin Allgaier, Oliver Pogarell

{"title":"Effects of Four Different EEG-Neurofeedback Reinforcement Types in Healthy Individuals - A Pilot Study.","authors":"Roland Mergl, Susanne Karch, Jennifer Henl, Dorothea Meindl, Felix Schöpf, Szilard I Szabo, Paulina Hallweger, Philipp Heiler, Maximilian Maywald, Nadja Tschentscher, Antje-Kathrin Allgaier, Oliver Pogarell","doi":"10.1177/15500594221138278","DOIUrl":"10.1177/15500594221138278","url":null,"abstract":"EEG neurofeedback (EEG-NFB) is a promising tool for the treatment of depressive disorders. However, many methods for the presentation of neurobiological reactions are available and it is widely unknown which of these feedback options are preferrable. Moreover, the influence of motivation on NFB training success is insufficiently studied. This study analyzed the efficacy of a novel EEG protocol (FC3/Pz) based on findings for NFB in depression. The role of four feedback options (Rumination, Anxiety, Meditation Master, Moving Art) from the NFB software \"Brain Assistant\" and motivation in EEG-based NFB performance was studied. Regarding \"Anxiety\" and \"Rumination\" visual feedback was used to evoke emotions; reinforcement (both negative and positive operant conditioning) was continuous. Regarding \"Meditation Master\" visual feedback was combined with continuous positive reinforcement. Regarding \"Moving Art\" 20-min calm nature films with neutral character were used; both visual and auditive feedback were applied. The reinforcement was positive and continuous. 13 healthy participants completed 15 EEG sessions over four months combining simultaneous frontal (aims: reduction of theta-, alpha- and high beta-activity, increase of low and mid beta-activity) and parietal training (aims: reduction of theta-, alpha 1-, mid and high beta-activity, increase of alpha 2- and low beta-activity). We observed significantly more pronounced percentage change in the expected direction for Anxiety than Moving Art (mean difference = 3.32; p = 0.003). The association between motivation and performance was non-significant. Based on these results we conclude that feedback with both negative and positive operant conditioning and emotion evoking effects should be preferred.","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40701680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0