Clinical EEG and Neuroscience最新文献

{"title":"Deficiency in Re-Orienting of Attention in Adults with Attention-Deficit Hyperactivity Disorder.","authors":"Valentina Gumenyuk,&nbsp;Oleg Korzyukov,&nbsp;Natalie Tapaskar,&nbsp;Michael Wagner,&nbsp;Charles R Larson,&nbsp;Michael J Hammer","doi":"10.1177/15500594221115737","DOIUrl":"https://doi.org/10.1177/15500594221115737","url":null,"abstract":"<p><p><b>Objective:</b> To characterize potential brain indexes of attention deficit hyperactivity disorder (ADHD) in adults. <b>Methods:</b> In an effort to develop objective, laboratory-based tests that can help to establish ADHD diagnosis, the brain indexes of distractibility was investigated in a group of adults. We used event-related brain potentials (ERPs) and performance measures in a forced-choice visual task. <b>Results:</b> Behaviorally aberrant distractibility in the ADHD group was significantly higher. Across three ERP components of distraction: N1 enhancement, P300 (P3a), and Reorienting Negativity (RON) the significant difference between ADHD and matched controls was found in the amplitude of the RON. We used non-parametric randomization tests, enabling us to statistically validated this difference between-group. <b>Conclusions:</b> Our main results of this feasibility study suggest that among other ERP components associated with auditory distraction, the RON response is promising index for a potential biomarker of deficient re-orienting of attention in adults s with ADHD.</p>","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10494435","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}

{"title":"Quantitative EEG Analysis in Angelman Syndrome: Candidate Method for Assessing Therapeutics.","authors":"Luis A Martinez,&nbsp;Heather A Born,&nbsp;Sarah Harris,&nbsp;Angelique Regnier-Golanov,&nbsp;Joseph C Grieco,&nbsp;Edwin J Weeber,&nbsp;Anne E Anderson","doi":"10.1177/1550059420973095","DOIUrl":"https://doi.org/10.1177/1550059420973095","url":null,"abstract":"<p><p>The goal of these studies was to use quantitative (q)EEG techniques on data from children with Angelman syndrome (AS) using spectral power analysis, and to evaluate this as a potential biomarker and quantitative method to evaluate therapeutics. Although characteristic patterns are evident in visual inspection, using qEEG techniques has the potential to provide quantitative evidence of treatment efficacy. We first assessed spectral power from baseline EEG recordings collected from children with AS compared to age-matched neurotypical controls, which corroborated the previously reported finding of increased total power driven by elevated delta power in children with AS. We then retrospectively analyzed data collected during a clinical trial evaluating the safety and tolerability of minocycline (3 mg/kg/d) to compare pretreatment recordings from children with AS (4-12 years of age) to EEG activity at the end of treatment and following washout for EEG spectral power and epileptiform events. At baseline and during minocycline treatment, the AS subjects demonstrated increased delta power; however, following washout from minocycline treatment the AS subjects had significantly reduced EEG spectral power and epileptiform activity. Our findings support the use of qEEG analysis in evaluating AS and suggest that this technique may be useful to evaluate therapeutic efficacy in AS. Normalizing EEG power in AS therefore may become an important metric in screening therapeutics to gauge overall efficacy. As therapeutics transition from preclinical to clinical studies, it is vital to establish outcome measures that can quantitatively evaluate putative treatments for AS and neurological disorders with distinctive EEG patterns.</p>","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1550059420973095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10550569","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}

{"title":"Cerebral cortex Functional Networks of Transdermal Electrical Stimulation at Daling (PC7) Acupoint.","authors":"Haili Wang,&nbsp;Ning Yin,&nbsp;Aoxiang Wang,&nbsp;Guizhi Xu","doi":"10.1177/15500594221123692","DOIUrl":"https://doi.org/10.1177/15500594221123692","url":null,"abstract":"<p><p>The cerebral cortex functional network of Electroencephalogram (EEG) signals during transcutaneous electrical acupoint stimulation (TEAS) on 21 healthy subjects was constructed by using three modules: standard low-resolution brain electromagnetic tomography (sLORETA), phase-locking value (<i>PLV</i>), and complex network. We investigated the brain functional network triggered by PC7 stimulation by comparing with resting state and non-acupoint stimulation. The results showed that the PC7 stimulation mainly activated frontal lobe and temporal lobe including prefrontal cortex (BA10), insular lobe (BA13), temporal gyrus (BA22), anterior cingulate cortex (BA32), temporal pole (BA38), dorsolateral prefrontal cortex (BA46), and inferior frontal cortex (BA47), which are all closely linked to cognition, spirit, and emotion in brain. Furthermore, the degrees of node in frontal, temporal, and whole brain are increased significantly or extreme significantly with <i>p</i> < 0.05, <i>p</i> < 0.05, and <i>p</i> < 0.01, respectively; clustering coefficient in frontal, temporal, and whole brain are all statistically significant (<i>p</i> < 0.05). The information transmission efficiency of cerebral cortex has been greatly improved. During PC7 stimulation, the topological changes in the activation of cerebral regions and cortical functional networks are consistent with the therapeutic effect, which may provide theoretical support for acupoint stimulation to regulate nerve function.</p>","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10551063","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}

{"title":"Religious Experience and Clinical-EEG Aspects in Adult People with Epilepsy.","authors":"Gloria M A S Tedrus,&nbsp;Letícia M Vargas,&nbsp;Karen G Rodrigues","doi":"10.1177/15500594211050493","DOIUrl":"https://doi.org/10.1177/15500594211050493","url":null,"abstract":"<p><p>Spirituality and religiosity are complex cognitive phenomena; however, the relationship between spiritual experiences and epilepsy continues to be debated. <i>Methods</i>. Data from the daily spiritual experience scale (DSES) were related to EEG data and clinical variables of 100 adult people with epilepsy (PWEs). DSES scores were compared to 51 normal individuals (control group [CG]), with a significance level of <i>P</i> < .05. <i>Results</i>. The total score in the DSES was 36.1 ± 14 and 37.6 ± 13.2, respectively, in the PWEs and in the CG. In the PWEs, there was a correlation between DSES and age (Pearson's correlation; -0.22; <i>P</i> = .027) and educational level (0.207; <i>P</i> = .039). PWEs with ≥one seizure/month have a lower frequency of daily spiritual experiences than those with better controlled seizures (<i>T</i>-test; 39.2 ± 16.2 vs 31.7 ± 7.6; <i>P</i> = .038). EEG epileptiform activity (EA) in the right hemisphere was associated with a higher frequency of spiritual experiences than those with left-hemisphere EA (29.8 ± 9.0 vs 38.5 ± 17.5; <i>P</i> = .010). <i>Conclusion</i>. Demographic aspects, EA in the right hemisphere, and lower seizure frequency are associated with daily spiritual experiences in epilepsy, suggesting an association between aspects of spirituality, epilepsy, and neurobiological correlates.</p>","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10493876","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}

{"title":"The Effects of Concentrative Meditation on the Electroencephalogram in Novice Meditators.","authors":"Alexander T Duda,&nbsp;Adam R Clarke,&nbsp;Frances M De Blasio,&nbsp;Thomas W Rout,&nbsp;Robert J Barry","doi":"10.1177/15500594211065897","DOIUrl":"https://doi.org/10.1177/15500594211065897","url":null,"abstract":"<p><p>Following investigations into the benefits of meditation on psychological health and well-being, research is now seeking to understand the mechanisms underlying these outcomes. This study aimed to identify natural alpha and theta frequency components during eyes-closed resting and concentrative meditation states and examined their differences within and between two testing sessions. Novice meditators had their EEG recorded during eyes-closed resting and concentrative meditation conditions, before and after engaging in a brief daily concentrative meditation practice for approximately one-month. Separate frequency Principal Components Analyses (f-PCA) yielded four spectral components of interest, congruent between both conditions and sessions: Delta-Theta-Alpha, Low Alpha, High Alpha, and Alpha-Beta. While all four components showed some increase in the meditation condition at the second session, only Low Alpha (∼9.5-10.0 Hz) showed similar increases while resting. These findings support the use of f-PCA as a novel method of data analysis in the investigation of psychophysiological states in meditation.</p>","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10495226","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}

{"title":"The Effect of dry Needling in Chronic Stroke with a complex Network Approach: A Case Study.","authors":"Borhan Asadi,&nbsp;Kheirollah Rahsepar Fard,&nbsp;Noureddin Nakhostin Ansari,&nbsp;Álvaro Marco,&nbsp;Sandra Calvo,&nbsp;Pablo Herrero","doi":"10.1177/15500594221120136","DOIUrl":"https://doi.org/10.1177/15500594221120136","url":null,"abstract":"<p><p><i>Background:</i> Dry Needling (DN) has been demonstrated to be effective in improving sensorimotor function and spasticity in patients with chronic stroke. Electroencephalogram (EEG) has been used to analyze if DN has effects on the central nervous system of patients with stroke. There are no studies on how DN works in patients with chronic stroke based on EEG analysis using complex networks. <i>Objective</i>: The aim of this study was to assess how DN works when it is applied in a patient with stroke, using the graph theory. <i>Methods:</i> One session of DN was applied to the spastic brachialis muscle of a 62-year-old man with right hemiplegia after stroke. EEG was used to analyze the effects of DN following metrics that measure the topological configuration: 1) network density, 2) clustering coefficient, 3) average shortest path length, 4) betweenness centrality, and 5) small-worldness. Measurements were taken before and during DN. <i>Results:</i> An improvement of the brain activity was observed in this patient with stroke after the application of DN, which led to variations of local parameters of the brain network in the delta, theta and alpha bands, and inclined towards those of the healthy control bands. <i>Conclusions:</i> This case study showed the positive effects of DN on brain network of a patient with chronic stroke.</p>","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10861623","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}

{"title":"Towards Robust, Reproducible, and Clinically Actionable EEG Biomarkers: Large Open Access EEG Database for Discovery and Out-of-sample Validation.","authors":"Hanneke van Dijk,&nbsp;Mark Koppenberg,&nbsp;Martijn Arns","doi":"10.1177/15500594221120516","DOIUrl":"https://doi.org/10.1177/15500594221120516","url":null,"abstract":"Recently, one of the most impactful neuroscience findings that forms a fundament of the amyloid hypothesis of Alzheimer was called into question after evidence was presented about image tampering of Western Blots (see for full overview). A 2006 Nature paper which reported that Aβ clumps, also known as plaques, in brain tissue are the primary cause of Azheimer’s symptoms, formed a key piece of evidence of this well-known amyloid hypothesis. The image tampering was not only found in the 2006 study, follow-up investigations uncovered 100’s of doctored images, including at least 70 from the original group, calling much of the evidence behind the amyloid hypothesis into question. This means that research on Alzheimer’s has been misdirected for >16 years, billions of research dollars mis-spent and probably a multitude of that amount spent by the pharmacological industry on development of drugs targeting plaques, for which recently many failed clinical trials were reported. But above all, it led to a lack of progress in improvement of treatments for those patients who need it most. This shocking discovery calls for action and a change in the way we evaluate biomarkers in general, but also within the field of psychophysiology and EEG biomarkers, where many biomarker-studies suffer from small sample sizes as well as a lack of (out-of-sample) validation, rendering them statistically underpowered and the biomarkers unapplicable in practice. As for our own EEG-examples, we now know that various meta-analyses have failed to confirm some of the most wellknown diagnostic EEG biomarkers, such as theta-beta ratio (TBR) in ADHD and frontal alpha asymmetry (FAA) in MDD. This latter meta-analysis indicated earlier conclusions on FAA were driven by underpowered studies, and that only sample sizes of >200 yielded biologically plausible effects. Therefore, large datasets are necessary for meaningful biomarker discovery. Unfortunately, we’ve experienced not being able to replicate our own research ourselves as well. In 2012, we reported on three biomarkers that predicted non-response to rTMS in depression: high fronto-central theta, a low individual alpha peak frequency (iAPF), and a large P300 amplitude at site Pz. Our sample comprised 90 MDD patients, however, in a new sample of 106 patients, replication failed for all three biomarkers. This disappointing experience prompted us to only publish on biomarkers when we conduct out-of-sample validation and replication. The most recent example was Brainmarker-I as a treatment stratification biomarker in ADHD, that included a total of 4249 EEG’s to develop the biomarker, two datasets (N = 472) to investigate its predictive value, and three independent datasets (N = 336) for blinded-out-of-sample validation where predictions of the biomarker are confirmed by an external researcher not involved in the data-analysis. In addition, together with a group of EEG research colleagues, we established the International Consortium on Ne","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10699791","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}

{"title":"Pre-Treatment Breast Cancer Patients Show Neural Differences in Frontal Alpha Asymmetry.","authors":"Neelam Prashad, Robert D Melara, James C Root, Tim A Ahles","doi":"10.1177/15500594221074860","DOIUrl":"10.1177/15500594221074860","url":null,"abstract":"<p><p>Cognitive impairment has been observed consistently in a subset of breast cancer survivors. Yet, still unknown is whether neural and behavioral effects of cancer exist <i>prior</i> to treatment, which may contribute to later cognitive decline. The current study investigated pre-treatment differences in attention performance and frontal alpha asymmetry (FAA), an established neural index of inhibitory control, in non-metastatic breast cancer patients (<i>n</i> = 42) compared with healthy controls (<i>n</i> = 28). We additionally investigated whether differences between groups appear in specific cuing conditions and across different stages of information processing. Participants underwent EEG while completing the Attention Network Task (ANT), a cognitive measure of alerting, orienting, and inhibitory control of attention. Results revealed no behavioral differences between patients and controls but significantly greater right-hemisphere alpha activity (reduced inhibitory control) in patients, particularly to uninformative (no cue, double cue) versus informative (valid cue) cues and in later stages of information processing (400-800 ms post-stimulus). Results suggest neural differences between groups to uncertain stimulus environments that have yet to manifest behaviorally. FAA may thus serve as a unique neural correlate that could potentially be used to predict later cognitive decline.</p>","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741869/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10489048","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}

{"title":"A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI Data.","authors":"Caglar Uyulan,&nbsp;Turker Tekin Erguzel,&nbsp;Omer Turk,&nbsp;Shams Farhad,&nbsp;Baris Metin,&nbsp;Nevzat Tarhan","doi":"10.1177/15500594221122699","DOIUrl":"https://doi.org/10.1177/15500594221122699","url":null,"abstract":"<p><p>Automatic detection of Attention Deficit Hyperactivity Disorder (ADHD) based on the functional Magnetic Resonance Imaging (fMRI) through Deep Learning (DL) is becoming a quite useful methodology due to the curse of-dimensionality problem of the data is solved. Also, this method proposes an invasive and robust solution to the variances in data acquisition and class distribution imbalances. In this paper, a transfer learning approach, specifically ResNet-50 type pre-trained 2D-Convolutional Neural Network (CNN) was used to automatically classify ADHD and healthy children. The results demonstrated that ResNet-50 architecture with 10-k cross-validation (CV) achieves an overall classification accuracy of 93.45%. The interpretation of the results was done via the Class Activation Map (CAM) analysis which showed that children with ADHD differed from controls in a wide range of brain areas including frontal, parietal and temporal lobes.</p>","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10494448","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}

{"title":"P300 Following Four Voluntarily Regulated Yoga Breathing Practices and Breath Awareness.","authors":"Niranjan Kala,&nbsp;Shirley Telles,&nbsp;Sachin Kumar Sharma,&nbsp;Acharya Balkrishna","doi":"10.1177/15500594221089369","DOIUrl":"https://doi.org/10.1177/15500594221089369","url":null,"abstract":"<p><p>Attention was influenced by yoga breathing in previously published research. Each yoga breathing practice uniquely modifies specific breath characteristics. Differences in the study designs, assessment methods and interventions resulted in difficulty in comparing effects between yoga breathing practices. This study aimed (i) to compare four yoga breathing practices on attention using an auditory oddball task and (ii) to determine cardiac autonomic activity associated with attention using heart rate variability. P300 event related potential was recorded simultaneously with heart rate variability before and after 18-minute periods each of (i) high frequency yoga breathing (with increased breath frequency), (ii) bellows yoga breathing (with increased depth of respiration), (iii) alternate nostril yoga breathing (with alternate nostril patency), (iv) bumblebee yoga breathing (with prolonged exhale), (v) breath awareness (with attention to the breath) and (vi) quiet seated rest as control in 38 yoga experienced males (average age ± <i>SD</i>; 24.08 ± 4.01 years). The six sessions were on separate, randomly allocated days. The P300 peak amplitude recorded at Pz was significantly increased after four yoga breathing practices (Bonferroni adjusted <i>post-hoc</i> tests, repeated measures ANOVA). No significant changes were noted in heart rate variability following yoga breathing or control sessions. These findings suggest that the four yoga breathing practices increase the attentional neural resources engaged for this auditory oddball task, irrespective of the characteristic of breath uniquely regulated in the four yoga breathing practices.</p>","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10671058","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}