Functional pain syndromes are very common diseases that negatively impact the quality of life of patients with important socio-economic repercussions. The clinical alterations associated with these pathologies are mul...Functional pain syndromes are very common diseases that negatively impact the quality of life of patients with important socio-economic repercussions. The clinical alterations associated with these pathologies are multiple and have a complex psycho-organic character that moves along the micorobiome-gut-brain-axis. For the present study, 45 patients of both sexes (19 male, 26 female) aged 30 - 59 years were enrolled because of a diagnosis of Functional pain syndromes (FPS) that lasted for more than 6 months. All patients underwent pre-treatment clinical assessments (T0) for anxiety disorder, multidimensional assessment of pain, monitoring of baseline values of Alpha-Theta cerebral rhythm in occipital region and monitoring of salivary cortisol levels. All the patients underwent a clinical treatment combined with central neuromodulation with neurofeedback—Alpha Theta increase protocols (once a week for three months), administration of multispecies probiotic (one dose per day for 3 months) and clinical psychological interviews (once a week for three months). At the end of treatment (T1), patients were re-evaluated. Results show statistically relevant improvements of each feature considered: the Relief from Pain provided by the medication increases on average from 36.6% to 87.3%, the salivary Cortisol level at 11 pm decreases from 6.4 ng/ml to a physiological value of 1.2 ng/ml, and the anxiety rating score is reduced from 28 to 12. Moreover, the 23.9% increase in α-θ relative power shows the positive outcome of the brain autoregulation. This study highlights that the combined approach of Neurofeedback with drugs and multispecies probiotic results in great improvements in the patients’ life.展开更多
Non-invasive cerebral neuromodulation technologies are essential for the reorganization of cerebral neural networks,which have been widely applied in the field of central neurological diseases,such as stroke,Parkinson...Non-invasive cerebral neuromodulation technologies are essential for the reorganization of cerebral neural networks,which have been widely applied in the field of central neurological diseases,such as stroke,Parkinson’s disease,and mental disorders.Although significant advances have been made in neuromodulation technologies,the identification of optimal neurostimulation paramete rs including the co rtical target,duration,and inhibition or excitation pattern is still limited due to the lack of guidance for neural circuits.Moreove r,the neural mechanism unde rlying neuromodulation for improved behavioral performance remains poorly understood.Recently,advancements in neuroimaging have provided insight into neuromodulation techniques.Functional near-infrared spectroscopy,as a novel non-invasive optical brain imaging method,can detect brain activity by measuring cerebral hemodynamics with the advantages of portability,high motion tole rance,and anti-electromagnetic interference.Coupling functional near-infra red spectroscopy with neuromodulation technologies offe rs an opportunity to monitor the cortical response,provide realtime feedbac k,and establish a closed-loop strategy integrating evaluation,feedbac k,and intervention for neurostimulation,which provides a theoretical basis for development of individualized precise neuro rehabilitation.We aimed to summarize the advantages of functional near-infra red spectroscopy and provide an ove rview of the current research on functional near-infrared spectroscopy in transcranial magnetic stimulation,transcranial electrical stimulation,neurofeedback,and braincomputer interfaces.Furthermore,the future perspectives and directions for the application of functional near-infrared spectroscopy in neuromodulation are summarized.In conclusion,functional near-infrared spectroscopy combined with neuromodulation may promote the optimization of central pellral reorganization to achieve better functional recovery form central nervous system diseases.展开更多
Objective: This study aims to evaluate the feasibility and effectiveness of neurofeedback therapy based on brain-computer interface (BCI) games in enhancing cognitive functions and reducing disruptive behaviors in pat...Objective: This study aims to evaluate the feasibility and effectiveness of neurofeedback therapy based on brain-computer interface (BCI) games in enhancing cognitive functions and reducing disruptive behaviors in patients with Alzheimer’s disease (AD). Methods: Forty-six AD patients aged 49 - 76 years were recruited for the study. Neurofeedback regulation was conducted using a BCI game designed to modulate EEG rhythms. Cognitive function was assessed using MMSE, MoCA, and ADAS-cog scales before and after a 10-day training period. EEG measurements were taken to evaluate changes in brain activity complexity. Statistical analyses were performed using SPSS25.0 software to compare pre- and post-training scores. Results: Post-intervention results showed significant improvement in the cognitive function of AD patients. The total scores of MMSE, MoCA, and ADAS-cog scales increased significantly (P < 0.01). Notable improvements were observed in memory, language, and attention domains. EEG complexity in the left frontal area also showed a significant increase (P < 0.05). Additionally, the disruptive behaviors of patients were significantly reduced, improving their overall quality of life. Conclusions: Neurofeedback therapy based on BCI games is a promising intervention for enhancing cognitive functions and reducing disruptive behaviors in AD patients. This innovative approach demonstrates significant potential for clinical application, providing a non-invasive method to improve patient outcomes. Further studies with larger sample sizes and long-term follow-ups are recommended to validate these findings and explore the specific effects of NFB training on different cognitive impairment levels.展开更多
This article reviews the constructs of stress, appraisal, coping, according to a transactional perspective, and executive function, and presents a stress control rating scale (ECOSTRESS), which design is founded in th...This article reviews the constructs of stress, appraisal, coping, according to a transactional perspective, and executive function, and presents a stress control rating scale (ECOSTRESS), which design is founded in these constructs. This psychometric tool is useful in the assessment of cognitive control of stress, correlated with the function of dorsolateral prefrontal cortex. It has been validated for its use in the assessment of Portuguese people in situations of stress related to unemployment and economic insufficiency. Also, within the context of the cognitive control of stress, it is highlighted the usefulness of low resolution brain electromagnetic tomography (LORETA).展开更多
肥胖症及减重后不能维持健康体质量的核心因素多为食物成瘾,食物成瘾在神经影像学中表现为奖赏网络与认知控制网络间神经环路的失衡。实时功能磁共振成像神经反馈(real time functional magnetic resonance imaging neurofeedback,rtfMR...肥胖症及减重后不能维持健康体质量的核心因素多为食物成瘾,食物成瘾在神经影像学中表现为奖赏网络与认知控制网络间神经环路的失衡。实时功能磁共振成像神经反馈(real time functional magnetic resonance imaging neurofeedback,rtfMRI-NF)作为一种新型生物反馈技术,已被应用于其他物质成瘾领域的临床研究和治疗中。在食物成瘾肥胖症中,rtfMRI-NF同样具有重塑异常脑功能、改善摄食行为并达到减重效果的潜力。本综述总结了肥胖患者食物成瘾的功能磁共振脑成像模型,探讨应用rtfMRI-NF作为其潜在治疗工具的可行神经靶点,并回顾了rtfMRI-NF在肥胖应用中的最新研究进展,为未来rtfMRI-NF在肥胖中的治疗策略和临床指导提供参考。展开更多
实时功能磁共振成像神经反馈(real time functional Magnetic Resonance Imaging neurofeedback, rtfMRI-NF)技术是治疗失眠障碍的新型手段,但是由于个体的差异,不同患者的治疗效果差异显著,利用脑影像数据对治疗效果进行预测,对提升神...实时功能磁共振成像神经反馈(real time functional Magnetic Resonance Imaging neurofeedback, rtfMRI-NF)技术是治疗失眠障碍的新型手段,但是由于个体的差异,不同患者的治疗效果差异显著,利用脑影像数据对治疗效果进行预测,对提升神经反馈训练临床应用的个体适应性具有重要意义。在32名失眠患者进行rtfMRI-NF的实验基础上,提取了患者治疗前以左侧杏仁核为种子点的基于脑网络组模板的功能连接矩阵作为特征,构建机器学习预测模型,实现了利用支持向量机对患者rtfMRI-NF训练效果进行预测。实验结果表明,单个失眠患者是否受益于rtfMRI-NF情绪调节方法的预测准确率为87.5%,该方法能够初步为失眠患者选择个体化治疗方案时提供一定的参考依据。展开更多
文摘Functional pain syndromes are very common diseases that negatively impact the quality of life of patients with important socio-economic repercussions. The clinical alterations associated with these pathologies are multiple and have a complex psycho-organic character that moves along the micorobiome-gut-brain-axis. For the present study, 45 patients of both sexes (19 male, 26 female) aged 30 - 59 years were enrolled because of a diagnosis of Functional pain syndromes (FPS) that lasted for more than 6 months. All patients underwent pre-treatment clinical assessments (T0) for anxiety disorder, multidimensional assessment of pain, monitoring of baseline values of Alpha-Theta cerebral rhythm in occipital region and monitoring of salivary cortisol levels. All the patients underwent a clinical treatment combined with central neuromodulation with neurofeedback—Alpha Theta increase protocols (once a week for three months), administration of multispecies probiotic (one dose per day for 3 months) and clinical psychological interviews (once a week for three months). At the end of treatment (T1), patients were re-evaluated. Results show statistically relevant improvements of each feature considered: the Relief from Pain provided by the medication increases on average from 36.6% to 87.3%, the salivary Cortisol level at 11 pm decreases from 6.4 ng/ml to a physiological value of 1.2 ng/ml, and the anxiety rating score is reduced from 28 to 12. Moreover, the 23.9% increase in α-θ relative power shows the positive outcome of the brain autoregulation. This study highlights that the combined approach of Neurofeedback with drugs and multispecies probiotic results in great improvements in the patients’ life.
文摘Non-invasive cerebral neuromodulation technologies are essential for the reorganization of cerebral neural networks,which have been widely applied in the field of central neurological diseases,such as stroke,Parkinson’s disease,and mental disorders.Although significant advances have been made in neuromodulation technologies,the identification of optimal neurostimulation paramete rs including the co rtical target,duration,and inhibition or excitation pattern is still limited due to the lack of guidance for neural circuits.Moreove r,the neural mechanism unde rlying neuromodulation for improved behavioral performance remains poorly understood.Recently,advancements in neuroimaging have provided insight into neuromodulation techniques.Functional near-infrared spectroscopy,as a novel non-invasive optical brain imaging method,can detect brain activity by measuring cerebral hemodynamics with the advantages of portability,high motion tole rance,and anti-electromagnetic interference.Coupling functional near-infra red spectroscopy with neuromodulation technologies offe rs an opportunity to monitor the cortical response,provide realtime feedbac k,and establish a closed-loop strategy integrating evaluation,feedbac k,and intervention for neurostimulation,which provides a theoretical basis for development of individualized precise neuro rehabilitation.We aimed to summarize the advantages of functional near-infra red spectroscopy and provide an ove rview of the current research on functional near-infrared spectroscopy in transcranial magnetic stimulation,transcranial electrical stimulation,neurofeedback,and braincomputer interfaces.Furthermore,the future perspectives and directions for the application of functional near-infrared spectroscopy in neuromodulation are summarized.In conclusion,functional near-infrared spectroscopy combined with neuromodulation may promote the optimization of central pellral reorganization to achieve better functional recovery form central nervous system diseases.
文摘Objective: This study aims to evaluate the feasibility and effectiveness of neurofeedback therapy based on brain-computer interface (BCI) games in enhancing cognitive functions and reducing disruptive behaviors in patients with Alzheimer’s disease (AD). Methods: Forty-six AD patients aged 49 - 76 years were recruited for the study. Neurofeedback regulation was conducted using a BCI game designed to modulate EEG rhythms. Cognitive function was assessed using MMSE, MoCA, and ADAS-cog scales before and after a 10-day training period. EEG measurements were taken to evaluate changes in brain activity complexity. Statistical analyses were performed using SPSS25.0 software to compare pre- and post-training scores. Results: Post-intervention results showed significant improvement in the cognitive function of AD patients. The total scores of MMSE, MoCA, and ADAS-cog scales increased significantly (P < 0.01). Notable improvements were observed in memory, language, and attention domains. EEG complexity in the left frontal area also showed a significant increase (P < 0.05). Additionally, the disruptive behaviors of patients were significantly reduced, improving their overall quality of life. Conclusions: Neurofeedback therapy based on BCI games is a promising intervention for enhancing cognitive functions and reducing disruptive behaviors in AD patients. This innovative approach demonstrates significant potential for clinical application, providing a non-invasive method to improve patient outcomes. Further studies with larger sample sizes and long-term follow-ups are recommended to validate these findings and explore the specific effects of NFB training on different cognitive impairment levels.
文摘This article reviews the constructs of stress, appraisal, coping, according to a transactional perspective, and executive function, and presents a stress control rating scale (ECOSTRESS), which design is founded in these constructs. This psychometric tool is useful in the assessment of cognitive control of stress, correlated with the function of dorsolateral prefrontal cortex. It has been validated for its use in the assessment of Portuguese people in situations of stress related to unemployment and economic insufficiency. Also, within the context of the cognitive control of stress, it is highlighted the usefulness of low resolution brain electromagnetic tomography (LORETA).
文摘肥胖症及减重后不能维持健康体质量的核心因素多为食物成瘾,食物成瘾在神经影像学中表现为奖赏网络与认知控制网络间神经环路的失衡。实时功能磁共振成像神经反馈(real time functional magnetic resonance imaging neurofeedback,rtfMRI-NF)作为一种新型生物反馈技术,已被应用于其他物质成瘾领域的临床研究和治疗中。在食物成瘾肥胖症中,rtfMRI-NF同样具有重塑异常脑功能、改善摄食行为并达到减重效果的潜力。本综述总结了肥胖患者食物成瘾的功能磁共振脑成像模型,探讨应用rtfMRI-NF作为其潜在治疗工具的可行神经靶点,并回顾了rtfMRI-NF在肥胖应用中的最新研究进展,为未来rtfMRI-NF在肥胖中的治疗策略和临床指导提供参考。
文摘实时功能磁共振成像神经反馈(real time functional Magnetic Resonance Imaging neurofeedback, rtfMRI-NF)技术是治疗失眠障碍的新型手段,但是由于个体的差异,不同患者的治疗效果差异显著,利用脑影像数据对治疗效果进行预测,对提升神经反馈训练临床应用的个体适应性具有重要意义。在32名失眠患者进行rtfMRI-NF的实验基础上,提取了患者治疗前以左侧杏仁核为种子点的基于脑网络组模板的功能连接矩阵作为特征,构建机器学习预测模型,实现了利用支持向量机对患者rtfMRI-NF训练效果进行预测。实验结果表明,单个失眠患者是否受益于rtfMRI-NF情绪调节方法的预测准确率为87.5%,该方法能够初步为失眠患者选择个体化治疗方案时提供一定的参考依据。
