Journal of neurotherapy最新文献_第3页

Neuroflexibility and Sleep Onset Insomnia Among College Students: Implications for Neurotherapy 大学生神经柔韧性与睡眠性失眠症:对神经治疗的启示

Journal of neurotherapy Pub Date : 2013-05-16 DOI: 10.1080/10874208.2013.784681

S. Buckelew, D. Degood, Jerika Taylor, N. Cunningham, Jessica Thornton, Angie S. Mackewn

引用次数: 4

The Effects of Negative Emotional Stimuli on Alpha Blunting 负性情绪刺激对α钝化的影响

Journal of neurotherapy Pub Date : 2013-05-16 DOI: 10.1080/10874208.2013.785797

P. Swingle

引用次数: 6

Brain-Based Parenting: The Neuroscience of Caregiving for Healthy Attachment, by Daniel A. Hughes and Jonathan Baylin 《基于大脑的养育:健康依恋的护理神经科学》，作者:丹尼尔·a·休斯和乔纳森·贝林

Journal of neurotherapy Pub Date : 2013-05-16 DOI: 10.1080/10874208.2013.785843

R. Lyle

引用次数: 4

QEEG-Guided Neurofeedback for Anger/Anger Control Disorder qeeg引导的愤怒/愤怒控制障碍的神经反馈

Journal of neurotherapy Pub Date : 2013-02-26 DOI: 10.1080/10874208.2012.705767

Jonathan E. Walker

引用次数: 11

EEG Activity in Females with Attention-Deficit/Hyperactivity Disorder 注意缺陷/多动障碍女性的脑电图活动

Journal of neurotherapy Pub Date : 2013-02-26 DOI: 10.1080/10874208.2013.759024

Franca E. Dupuy, A. Clarke, R. Barry

引用次数: 11

The Effects of Heart Rate Variability Training on Sensorimotor Rhythm: A Pilot Study 心率变异性训练对感觉运动节律的影响:一项初步研究

Journal of neurotherapy Pub Date : 2013-02-26 DOI: 10.1080/10874208.2013.759020

Andrea Reid, Stephanie Nihon, L. Thompson, M. O. Thompson

{"title":"The Effects of Heart Rate Variability Training on Sensorimotor Rhythm: A Pilot Study","authors":"Andrea Reid, Stephanie Nihon, L. Thompson, M. O. Thompson","doi":"10.1080/10874208.2013.759020","DOIUrl":"https://doi.org/10.1080/10874208.2013.759020","url":null,"abstract":"Heart rate variability (HRV) training and EEG Biofeedback are techniques used to improve neurological disorders in both clinical and optimal performance populations. HRV training uses combined respiration and heart rate biofeedback to achieve synchrony between the changes in breathing and heart rate. This specific signature of synchronization of breathing and heart rate changes appears to correlate with a relaxed state and cognitive clarity. HRV may provide a promising index for both physical and emotional stress. Improvements in mental processing (Thayer, Hansen, Saus-Rose, & Johnson, 2009) and emotional stability (Applehans & Lueken, 2006) have been demonstrated as a result of HRV training. A similar mental state is the target of EEG biofeedback training when parameters are set to increase sensorimotor rhythm (SMR). SMR is usually trained using the frequency band 12–15 Hz. These frequencies are called SMR only when they are produced across the sensorimotor strip (C3, Cz, C4). In other locations, 12–15 Hz is simply called beta. SMR production has been closely linked to a state of calm, relaxed focus (Sterman, 1996). This article proposes that HRV training may be associated with increased levels of SMR. Preliminary data have been collected for 40 clients. Twenty clients were athletes training to improve performance, and 20 clients were from a clinical population aiming to increase SMR as a part of their program. A 3-min sample of EEG baseline data was compared to a 3-min sample of EEG data collected during HRV training. Mean microvolt values were collected for SMR during both the baseline recording and during the HRV training. T-test results show that there was a statistically significant increase in SMR during HRV training as compared to baseline (p<.001). This suggests that increased HRV leads to increases in production of SMR.","PeriodicalId":88271,"journal":{"name":"Journal of neurotherapy","volume":"17 1","pages":"43-48"},"PeriodicalIF":0.0,"publicationDate":"2013-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10874208.2013.759020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59805838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

The Effects of Neurofeedback in the Default Mode Network: Pilot Study Results of Medicated Children with ADHD 神经反馈在默认模式网络中的作用:药物治疗多动症儿童的初步研究结果

Journal of neurotherapy Pub Date : 2013-02-26 DOI: 10.1080/10874208.2013.759017

L. Russell-Chapin, Thomas Kemmerly, Wen Liu, M. Zagardo, Theodore J. Chapin, Douglas Dailey, D. Dinh

{"title":"The Effects of Neurofeedback in the Default Mode Network: Pilot Study Results of Medicated Children with ADHD","authors":"L. Russell-Chapin, Thomas Kemmerly, Wen Liu, M. Zagardo, Theodore J. Chapin, Douglas Dailey, D. Dinh","doi":"10.1080/10874208.2013.759017","DOIUrl":"https://doi.org/10.1080/10874208.2013.759017","url":null,"abstract":"Children with attention deficit hyperactivity disorder (ADHD) have difficulty activating the Default Mode Network (DMN) in a resting or quiet state. The DMN function assists in processing and understanding a person's internal, reflective world and the world of self and others. Neurofeedback (NFB), a type of EEG operant conditioning, trains self-regulation skills using a brain–computer interface. The hardware and software have audio/video capabilities to correct irregular brainwave patterns and regional cerebral blood flow associated with mental health and cognitive concerns. Individual treatment sessions usually last approximately 20 min; to gain the largest overall treatment effect, NFB users need to experience about 30 to 40 sessions. This study randomly assigned 12 children diagnosed with ADHD and currently on a stimulant medication to a treatment or control group. Subjects in the treatment group completed 40 NFB sessions. Pre- and posttest fMRIs were administered on the treatment and control groups. E...","PeriodicalId":88271,"journal":{"name":"Journal of neurotherapy","volume":"17 1","pages":"35-42"},"PeriodicalIF":0.0,"publicationDate":"2013-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10874208.2013.759017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59805831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Spectral Dynamics and Therapeutic Implications of the Theta/Alpha Crossover in Alpha-Theta Neurofeedback Alpha-Theta神经反馈中Theta/Alpha交叉的频谱动力学和治疗意义

Journal of neurotherapy Pub Date : 2013-02-26 DOI: 10.1080/10874208.2013.758968

Mark L. Johnson, Eugenia Bodenhamer-Davis, L. Bailey, Michael S. Gates

引用次数: 7

Alpha EEG Activity Depends on the Individual Dominant Rhythm Frequency 脑电图活动取决于个体的主导节律频率

Journal of neurotherapy Pub Date : 2012-11-21 DOI: 10.1080/10874208.2012.730786

DSci Olga Mikhailovna Bazanova

引用次数: 18

The Relationship Between Burnout, Interpersonal Commitment, Client Adherence, and Quality of Work Life Among Neurofeedback Practitioners 神经反馈从业人员职业倦怠、人际承诺、客户依从性与工作生活质量的关系

Journal of neurotherapy Pub Date : 2012-11-21 DOI: 10.1080/10874208.2012.728103

Jonathon E. Larson, T. Cothran, Lauren Drandorff, Charles Morgan, C. Ryan

{"title":"The Relationship Between Burnout, Interpersonal Commitment, Client Adherence, and Quality of Work Life Among Neurofeedback Practitioners","authors":"Jonathon E. Larson, T. Cothran, Lauren Drandorff, Charles Morgan, C. Ryan","doi":"10.1080/10874208.2012.728103","DOIUrl":"https://doi.org/10.1080/10874208.2012.728103","url":null,"abstract":"This study identified neurofeedback (NFB) practitioner self-perceptions related to quality of work life. We also identified practitioner self-perceptions of common clinician factors related to NFB. To guide this current study, we utilized our previous conceptual framework research on practitioner perspectives of NFB (Larson, Ryan, & Baerentzen, 2010). One hundred forty-eight NFB practitioners completed online surveys gathering demographic information and ratings of practice behaviors and characteristics. For data set analyses, we utilized descriptive statistics, frequencies, means, standard deviations, ranges, Cronbach's alpha analysis, Pearson product–moment correlation analysis, and a regular simultaneous regression analysis. Our results indicated that 74% of the variance in quality of work life can be determined by variance in a significant multiple correlation of burnout, interpersonal skills commitment, and client adherence. We found monthly sessions correlated with financial gain or loss (FGL). We a...","PeriodicalId":88271,"journal":{"name":"Journal of neurotherapy","volume":"16 1","pages":"237-245"},"PeriodicalIF":0.0,"publicationDate":"2012-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10874208.2012.728103","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59805664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8