Neuromarkers of anxiety and depression in a patient after neuro-ophthalmic surgery of the meningioma : effect of individually-tailored tDCS and neurofeedback

The aim of the study was to evaluate the effectiveness of individually tailored anodal tDCs/ neurofeedback protocol for the reduction of post-operative depression after a neuroophtalmological operation of the meningioma. The neuromarkers in Quantitative EEG (QEEG) and Event-related potentials (ERPs) were utilized in the construction of protocol and evaluation. [b]Case description[/b]. A 45-year-old female after successful neuro-ophthalmic surgery of the meningioma, complained of severe pain and anxiety, difficulties with sleeping, attention and memory problems, as well as inability to continue working in her given profession. Neuropsychological testing showed lack of cognitive disturbances and post-operative depression. Two working hypotheses were tested to find neuromarkers of depression and anxiety. In line with the ‘depression hypothesis’ a frontal alpha asymmetry pattern was found in the patient, and in line with the ‘anxiety’ hypothesis an increased left temporal P1 wave in response to visual stimuli was found in ERPs. A specific alpha asymmetry neurofeedback protocol combined with an anodal tDCS was suggested. Twenty sessions of individually-tailored anodal tDCs/ neurofeedback protocol were performed. The QEEG frontal asymmetry pattern and the excessive temporal P1 wave were normalized after the intervention. [b]Conclusions. [/b]The patient recovered from post-operative depression and returned to work after 20 sessions of the combined neurofeedback/tDCS protocol. Specific patterns of QEEG and ERPs serve as neuromarkers for constructing the protocol and for monitoring the results of intervention

Neuromarkers of anxiety and depression in a patient after neuro-ophthalmic surgery of the meningioma – effect of individually-tailored tDCS and neurofeedback

The aim of the study was to evaluate the effectiveness of individually tailored anodal tDCs/ neurofeedback protocol for the reduction of post-operative depression after a neuroophtalmological operation of the meningioma. The neuromarkers in Quantitative EEG (QEEG) and Event-related potentials (ERPs) were utilized in the construction of protocol and evaluation. [b]Case description[/b]. A 45-year-old female after successful neuro-ophthalmic surgery of the meningioma, complained of severe pain and anxiety, difficulties with sleeping, attention and memory problems, as well as inability to continue working in her given profession. Neuropsychological testing showed lack of cognitive disturbances and post-operative depression. Two working hypotheses were tested to find neuromarkers of depression and anxiety. In line with the ‘depression hypothesis’ a frontal alpha asymmetry pattern was found in the patient, and in line with the ‘anxiety’ hypothesis an increased left temporal P1 wave in response to visual stimuli was found in ERPs. A specific alpha asymmetry neurofeedback protocol combined with an anodal tDCS was suggested. Twenty sessions of individually-tailored anodal tDCs/ neurofeedback protocol were performed. The QEEG frontal asymmetry pattern and the excessive temporal P1 wave were normalized after the intervention. [b]Conclusions. [/b]The patient recovered from post-operative depression and returned to work after 20 sessions of the combined neurofeedback/tDCS protocol. Specific patterns of QEEG and ERPs serve as neuromarkers for constructing the protocol and for monitoring the results of intervention

Alterations in intestinal Archaea composition in pediatric patients with Crohn’s disease based on next-generation sequencing – a pilot study

ABSTRACTIntestinal dysbiosis can lead to the induction of systemic immune-mediated inflammatory diseases, such as Crohn’s disease Although archaea are part of the commensal microbiota, they are still one of the least studied microorganisms. The aim of our study was the standardization of the optimal conditions and primers for sequencing of the gut archaeome using Next Generation Sequencing, and evaluation of the differences between the composition of archaea in patients and healthy volunteers, as well as analysis of the changes that occur in the archaeome of patients depending on disease activity. Newly diagnosed patients were characterized by similar archeal profiles at every taxonomic level as in healthy individuals (the dominance of Methanobacteria at the class level, and Methanobrevibacter at the genus level). In turn, in patients previously diagnosed with Crohn’s disease (both in active and remission phase), an increased prevalence of Thermoplasmata, Thermoprotei, Halobacteria (at the class level), and Halococcus, Methanospaera or Picrophilus (at the genus level) were observed. Furthermore, we have found a significant correlation between the patient’s parameters and the individual class or species of Archaea. Our study confirms changes in archaeal composition in pediatric patients with Crohn’s disease, however, only in long-standing disease. At the beginning of the disease, the archeal profile is similar to that of healthy people. However, in the chronic form of the disease, significant differences in the composition of archaeome begin to appear. It seems that some archaea may be a good indicator of the chronicity and activity of Crohn’s disease

A functional BCI model by the P2731 working group: control interface

In order to facilitate communication and collaboration between researchers, Brain–computer interfaces (BCI) require a generally applicable functional model as well as a common vocabulary. The IEEE P2731 working group is in the process of developing such a functional model and a lexicon of BCI terminology. Such a functional model has multiple aspects including the control interface, physiology, transducers, etc. This current paper focuses on the control interface aspects of that model. Having a generally applicable control interface model will facilitate interdisciplinar y research and communication. The control interface is a critical part of the functional model and is described in this current paper. The control interface presented intentionally is intentionally kept general in order to be widely applicable. Some details are specific to a particular application and are thus left to those applications. It does contain the encoder (which also contains a decoder), with a feedback submodule