Science topic

Neurofeedback - Science topic

A technique to self-regulate brain activities provided as a feedback in order to better control or enhance one's own performance, control or function. This is done by trying to bring brain activities into a range associated with a desired brain function or status.
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1. Goal: Research with EEG and with neurofeedback in future. Howeover I am completely new in the field so i need a time and practice
2 Price is crucial. I wanted to buy Emotiv EPOC flex (2000USD) but was dissaponted by the neccessity to pay monthly payment for the software (EMOTIV PRO).
3. I have some IT skills but prefer to "invest" my focus in neurosience rather then programming.
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You may consider "Enobio" by Neuroelectrics: https://www.neuroelectrics.com/solutions/enobio
It's a line of 32-, 20- and 8-channel wireless EEG systems controlled by the proprietary NIC application. However, they provide the Matlab and TCP/IP-level APIs, which allow your custom user application to stream EEGs and interact with the system in readl time. For even tighter control, there is an SDK allowing direct communication with the headset.
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I have being doing some research on Emotiv EPOC+ to do neurofeedback, but I have had many issues finding a software to do so. Currently I am getting to know OpenViBe and hopefully I will be able to do neurofeeback training, programming on designer mode.
I would like to know if anyone has had some experience doing so?
Thanks!
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I decided to start working with Myndlift and then with Nexus, as I couldn't make the Emotiv EPOC+ work.
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Hello,
I am currently working on a project with a colleague using a Brain-Computer Music Interface (BCMI) to generate music from EEG signals. Affective states will be recorded with EEG signals and sent to a generative music algorithm. A couple of questions I had about the design:
1). We plan to use Emotiv Epoc+ (14 channels), does anyone know any way to run raw EEG data on EEGLAB in real-time, or must EEG data be recorded with external data acquisition software, and analyzed separately?
2). To run the generative music algorithm, is it necessary to train a classifier to model emotion? Can a SVM or random-forest classifier be used to classify emotion from EEG signals, which can then be fed into the generative music algorithm? Or is this step unnecessary?
3). We plan to use the DEAP dataset for emotion calibration. However, one difference my colleague and I had was whether:
  • Pre-recorded EEG data from the DEAP dataset can be sent directly into the generative music algorithm? OR
  • Is it necessary for participant's EEG data to be recorded, while being instructed to view items from the DEAP database to gauge their affective brain states?
DEAP dataset
The generative algorithm is inspired by Ehrlich et al. (2019), and is designed to generate sounds reflective of the user's affective state.
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Hi I have been playing with BCI for music (using a Neurosky Mindwave headset until we can get the Emotiv one) and used BrainwaveOSC (it is open source on GitHub) to turn the EEG data into OSC. I found a MaxMSP patch to turn the OSC into MIDI, but not yet got it working. Would love to hear more about your work!
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I was wondering if someone could recommend a good article/book chapter where imagery is used with neurofeedback in sport.
thank you!
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Look Martijn Arns, Golf and alpha
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After designing an estimator aiming to predict attention state from EEG, it has been thought to implement it in a neurofeedback in virtual reality.
However, due to the covid related issues, it is very difficult to plan a big study with a large number of participants (as often the case in related research projects). I was wondering if it could be interesting to consider a study (or pre-study) with a small number of participants?
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Hi Victor!
I think the number of patients depends on what you want to demonstrate. If you are looking for a preliminary study, with few patients you can sense the magnitude of the effect of your intervention. After this preliminary study, you can calculate better the number of patients you need to robustly demonstrate an effect of neurofeedback.
Moreover, you must keep in mind the statistical analysis is different if you have few or more patients.
Best regards,
Jorge de Francisco
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I have data neurofeedback session data. (about 40 participants) The sessions (15-25 sessions) are interventions for anxiety that target 3 band widths. Hence, each participant has 3 line trends (aka brain waves): one that was uptrained and two that were down trained. I got average scores from each line trend for each session. Is it appropriate to combine an individual's average of three lines but one average is uptrained? Or is there another way to go about this? I want to enter the data into a Growth Curve Model so I do not lose intraindividual differences.
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Yes it does! And thank you for responding! I agree: Averaging would not be correct and would misrepresent the data. I am considering just using trend lines to display the data lines or, like you suggested, using separate models for each feature. Thank you again!
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I hope to soon have a ridiculous amount of data from about 80 hours of 16 channel EEG recordings. I will also have 160 productivity/performance indicators along several dimensions, each associated with half an hour of recorded EEG signal. Note that the frequency of aggregate data generation is about five orders of magnitude higher than the frequency of the productivity/performance data.
Is there any halfway plausible way to extract, from this vast amount of data, features of these waveform time series that have the strongest relationship to my productivity/performance measures, without imposing strong priors on the nature of those feature? Like, I could do spectral power by electrode, but if the I impose that structure and the real best predictor is anticorrelation between two regions, I’ll never catch it. Maybe some kind of two-phase unsupervised/supervised learning structure? Or if anyone knows of a catalog of features that had been found to discriminate between those with high vs. average to low productivity, self-discipline, etc., I’d be interested in that. I have looked for, and failed to find, such a catalog in the past. (I am more interested in executive function than intelligence for this purpose).
My ultimate goal is to create a neurofeedback filter for personalized productivity enhancement. Against the desire for weak or unspecified priors, I also have a bias toward filters which are not pure black boxes; which is to say, if I am to train my one and only brain against some measurement, and maybe offer others an opportunity to do likewise, I’d like to know what that measurement is.
If I succeed in doing this, I will almost certainly be doing the data analysis with R.
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Nice Contribution Eugene Veniaminovich Lutsenko
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Hello. I want to measure HRV before activity, during activity and after activity. Each measurement will take 5 minutes. I have limited budget and i m searching for a portable device. And it must be reliable for scientific research. I've found some alternatives like shimmer ear clip, polar watches, polar chest strap and some finger and you may offer me different devices. What is the best option for me?
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To study HRV in a scientific research environment it's important to record the ECG. The ECG is the basis for heart beat detection and once its saved by the device you are able to check, whether all heart beats are correctly identified.
We made good expierence with Hexoskin Hx1 and Faros 180°/360°.
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I just can't get true EEG data with Neurosky TGAM :(
I am using its raw data for this, but my signals' power spectrum don't have ALPHA peak.
I tried recording using EEG paste too (the electrodes are dry electrodes!), but still no alpha peak in any eyes opened or eyes closed conditions even from Occipital lobe!
PS, I have an even more strange signal when using electrode without paste in any location except forehead!
I really don't know what to do for recording a real EEG signal with this device. May anyone help me...? :(
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I just want to add to my least message. Here is the proof that it is a fake random number generator. https://www.youtube.com/watch?v=HsmLA9PqTGM
So that you do not waist more time on it.
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I am looking for a book that comprehensively describes a qualitative eeg assessment. Describes the importance of particular qeeg parameters and discusses neurofeedback methodology. I also care about the modern description of these problems
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Thank you very much for your help and response!
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I would be happy to know your experience about „ratios” in neurofeedback. Only a few of them (Theta /Beta on Cz in ADHD, Frontal Alpha Asymmetry in Depression) are well discussed. On the neurofeedback courses conducted in Poland, there are very many of them, eg: Traumatic experiences: beta1 in T4 higher>2 times in T3 beta2 asymmetry in T3 / T4> 30% Depression, discouragement, lack of motivation: beta1 in T4 50% lower then in T3 Have you ever found similar strict indicators (more then 2 times, less then 30% etc...)? Maybe in book/article, maybe on your course? Give me such examples please!
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I do ratios in HRV for better results but have not used them for qEEG analysis. If I did, I would try analyses both ways (analyze the numerator and denominator separately, then as a ration) and see which best approximates the data. Do not forget to clean your data (Tabachnick & Fidell).
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One of my research interest is ADHD. I want to pursue my phd to research in this area. Unfortunately I could not find phd position for that. I want to join a research group which work on ADHD. Is there a professor to like I collaborate with him/her to share my plan for Phd.?
The best
Samaneh
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This is an opportunity to apply for Ph.D. positions. More information in the link below. In short, you apply with your research proposal - which has to be somehow related to "the digital society".
From the introduction of the description:
"The Digital Society research initiative promotes interdisciplinary research on how digitalization transforms and affects society. The integration of digital technology into a range of different areas in our society fundamentally changes the way we act and interact. The digital transformation of how we learn and teach, treat patients in the health and welfare sector, develop and conduct business, run and develop organizations, policies, and in general transform our surroundings will necessarily raise numerous research questions and hypothesis."
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In The Body Keeps the Score by Bessel Van Der Kolk, the chapter called "Rewiring the Brain" discusses the therapeutic effects of neurofeedback. Since wearable EEG devices are becoming more affordable, I'm wondering if any trauma researchers are using them in treatment studies. If anyone can point me to papers on this topic I would appreciate it!
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  • While EEG feedback devices are less expensive for one to own, it should not be assumed that therefore they are easier to use correctly. The proper application of neurofeedback devices requires an education foundation that is not intuitive. To illustrate my point, a reduction in the cost of a pair of surgical scalpels, say from $50 to $20, doesn't mean the proper use is, therefore, easier to obtain. A toy manufacturer came out with a lightsaber that glowed red with the child "felt the force". The toy glowed brighter when an electrode on the child's forehead that led to an EEG amplifier detected higher amplitude prefrontal Alpha in the child's brain. Humans will "feel" something when their prefrontal cortex produces greater amplitudes of 8-12 Hz (Alpha). Initially, they are likely to feel relaxed because of the increase in Alpha, a slower brain frequency will innervate the parasympathetic nervous system. While this brain state may be easily "felt" what comes with it is a lowering of higher, more alert, brain frequencies (Beta). A careful study of brain physiology has taught us that some kids will sometimes benefit from an increase in frontal alpha, but most kids will not. In fact, the more a child "plays" with a "toy" like this, the more Alpha their brain will produce. This "toy" is seriously dangerous to the welfare of the child. One of the EEG phenotypes of attention deficit/hyperactivity disorder is characterized by excess frontal Alpha. So, well-meaning parents who purchase this "toy" will likely create a situation that will make it much more difficult for their child to maintain focused attention, in general. The bottom line here is that brains are different. Anyone who says they have a one-size-fits-all approach to brain optimization should be ignored, or better yet, educated. No one would buy a pair of shoes from someone who said their shoe fill fit everyone. The ONLY way one should use ANY brain modulation device is under the guidance of trained individuals who will ALWAYS do a careful assessment before they apply a feedback protocol. If you have a rich friend who buys a Boeing 747 jet aircraft that he never learned how to fly ask you to go with him as he pilots the plane from Los Angeles to New York - my advice is, don't go.
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Hockey players have good Eye-hand coordination, Peripheral Vision Awareness and Anticipation ability as well as have good Depth Perception and Concentration. With theses they also have quality of Stress Management so that can take Better decisions under pressure. How NFT helps players for achieving their peak performance. How we can plan training.
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This article is not related closely but it may help you.
In this, the audio-visual feedback had caused a significant positive change in dynamic balance.
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Hi everyone
I am working on a project about fNIRS neurofeedback. In this work digital fNIRS signal (10 Hz sample frequency) is imported through USB in Matlab and I need to real time processing by using signal packing. Can you please introduce me a suitable method for implementing this real time process by software?
Thanks
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In simlink, there is tool box of signal processing/DSP. The input signal should be connected to a simlink source block with the sampling frequency being properly set.
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We are about to transfer our research on EEG feedback training for athletes to the area of truck drivers. We would like to know if there is research in this area which we could access. Also, it would be interesting to know if other measures ahve been used in this area like e.g., HRV or eye-tracking.
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Some colleagues and I conducted a review of available technologies of different types for the purpose of fatigue management in military vehicles. We presented our findings in a technical report for our organization, which may be found at the following URL:
The information is somewhat dated at this point, as the report was produced in 2015, however it may provide a broad baseline on different ways that people have attempted to measure fatigue.
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Dear all,
I am looking for neurofeedback studies (either with fMRI or EEG) that investigated neurofeedback-induced structural plasticity. The only paper I´ve found is from Ghaziri and colleagues, 2013. Are there other studies, even with “negative” results?
Thank you in advance!
Cheers from Brazil!
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Good luck with your project Theo!
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Hi,
Has anyone got any reviews on gtec's g.nautilus dry electrode based system, g.USBamp over the g.MOBIlab+ ? I am currently using a 8-channel g.MOBIlab+ with active electrodes and am thinking of upgrading to a 16/32 channel system. I will be using the system for a BCI application.
Thanks.
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Working with Correctional youth facility would implementing NFB help increase population gradation and decrease recidivism among troubled youth?
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Hey
Reports should be created for yourself on the basis of deficits and determine the QEEG parameters on which we work. Each clinical unit has certain characteristics and they guide the conduct of Biofeedback.
I am working on a unit that is schizophrenia.
I will publish the first part of the work soon.
I would like to submit a publication in a good foreign magazine but it can be difficult :))
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The question is with reference to a patient suffering from differential body temperature, her right side (particularly the hand) occasionally being substantially colder than the left.
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we see this kind of phenomenon not very rarely in patients with multiple sclerosis. the mechanism is thought to be damage to the intermediate horn that contains the nuclei of the sympathetic nerves. the sympathetic nerves determine the tone of the arterioles. therefore, very unusual phenomenon have been noted in patients with multiple sclerosis. they can have intermittent discoloration of the skin on one of the body, they can have sweating that is restricted to one arm or a leg and sometimes they can have half of their torso that is erythematous, mild edematous and xerodermia. if this patient does not have MS then you can look at the sympathetic chain dysfunction on the affected side. thanks.
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My university lab has BIOPAC-MP35 student version, and I have to do a study on children. Unfortunately, EEG cap is not available and I will have to use single electrodes for my research. Moreover, I have to do neurofeedback on children, for which BIOPAC doesn't seem much useful. So I am thinking of using Emotiv Insight as it is cheap, affordable, portable, and has 5 electrodes (I am planning to purchase it).
So what would be the value of research, in terms of quality and possibilities for publication later? Is BIOPAC-MP35 better than Emotiv Insight?
Thanks in advance!!
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Hi,
I think that Emotiv along other "low cost" systems have good advantage for neurofeedback, especially because there many applications (hence documentation) that have been developed in throughout these years. Also, the availability of compatible environments make it suitable for a research tool. I would like to add some literature and Emotiv compatible development environments. I hope my answer was useful.
Emotiv based neurofeedback research examples:
Emotiv compatible development environments:
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WIth the increase in Neuroscience and the ability to change behavior through learning about oneself through Neurofeedback does another know any current research in the Juvenile Justice system for to address criminal needs (Poor decision making/trauma/drugs/theft? 
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Studies have been accumulated more and more evidence regarding the beneficial effects of EEG neurofeedback training in sport performance. However, little insights come up from the perspective of sport trainers, concerning how to apply EEG neurofeedback training with some efficient and effective protocols. I'm appreciated to get to know some practical experiences from the field.
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Dear Cheng, 
I was working with athletes from tennis players to sharpshooters.
First step for me is good anamnesis (what is a problem)
Then EEG. After that I'm looking correlations.
I don't like word "protocol". I'm trying to work individuallly.
Please, write my some more details in private message, I will take a look.
Best wishes,
Pawel
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Can and would a mature adults who has mild acute attention muscular dystrophic distractive impairment, (in brain-mind) recover successfully and confidently from a lack of 02 {oxygen reported) causal affect at birth? (*Just thinking and wondering curiously, honest and really help.)
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Neurofeedback for ADHD goes back at least 30 years, and there is yet to be good evidence that it is more effective than an active placebo control group. Certainly, having a child stare at a computer screen for 50 hours while attempting to manipulate something on the screen will help develop concentration ability. What has not been demonstrated is if a control group receiving cognitive retraining/mindfulness other than neurofeedback does any worse.
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Hi !
Can anybody point me at resources in which to explore possible (sound) frequency formulations to be administered as treatments ?
If the topic really interests you, please continue reading. Skip all that´s below otherwise... it´s loooooong :)
Some background to my research:
I am looking for all possible ways in which we might further harness the power of sound energy for health and transformation. And one is frequency (if you happen to know answers to my questions based on anything other than frequency please get in touch).
During the years, I´ve many times encountered the work of various reputed (although sometimes controversial) health professionals who understood frequency as one of the possible keys to health - starting way back with Rife in his attempt to control pathogens and followed by many others including Dr Alfred Tomatis who thought that sound is a nutrient to our nervous system.
Some more recent are Hans Georg Trzopek who through a system called Psychofonie® (akin to sonification ?), converts the beta/theta ratios - EEG biofeedback readings in locations C3, C4, T3, T4 - of an individual´s relaxed wake state (with eyes closed) into inharmonic sounds for adjunct headache relief treatments.
Of special interest is also Dr Paul Swingle and his work on Subthreshold harmonics as adjunct treatment for Neurofeedback interventions, which suggests there are two distinct mechanisms for conscious and subliminal sound detection, both of which can be effectively stimulated with sound energy in order to create measurable positive changes in mood, cognition, performance etc.
I´m also particularly interested in the work of Gubert Finsterle and his PAT sessions, currently being converted into a headphone-based system (they originally needed 4 special speakers placed at equal distance from the listener) that has been approved as medical device by the Italian Ministry of Health (he is also exploring the induction of specific neurotransmitters with sound).
Another contemporary figure is Sharry Edwards, somebody who is closer to the holographic model and pioneered the emerging field of vocal profiling (she calls her work "sonistry"). Her work is based on sound too, but perhaps closer to the field of Energy Medicine (a fascinating field - you might have heard of Dr Robert O. Becker, Dr William Tiller, Dr Josh Oschman, Donna Eden...)
In my view, the work of all these people (and those many others I have not mentioned or haven´t heard of yet) in one way or another suggests that there might be mathematical models "behind" what we call homeostasis (which affects much more than what can be seen or measured with our current instrumentation). If this is correct, "health" should be non-invasively programmable (hacked) with sound frequency formulations alone by some kind of "analogic principle" (analogy, transposition, transduction - sonostasis). In fact, energy medicine is somehow based on similar assumptions pertaining to procedures and orders of magnitude not yet accepted in mainstream circles. Taking into account how little consensus there is about it, frequency might not be the whole story, but given my research and experiential findings, surely a good start, with practical applications that are probably safer and cheaper than those we currently use (think sonoceutical industry !).
I imagine there must be some work done on finding the specific resonant frequencies of organs and tissues, as well as the frequencies that might somehow "trigger" self-healing responses, or support the immune system - Sharry Edwards proposes (among many other things) that low frequency sound presentation can be used to influence pathogenic activity within the blood. Other similar examples are infrasound technology, used with horses for treating pain, inflammation and swelling, and also for calming therapies. Or a field called audioanalgesia (developed in the late 50´s, I believe mainly for dental operations in which anesthesia could not be administered). There´s also fascinating work being done in the field of ultrasound. I know that Stuart Hameroff and his team are testing transcranial ultrasound (TUS) at megahertz and find it improves mood and may be useful in promoting neuronal growth via effects in microtubules.
I´m also intrigued by Cymatics (sound made visible) and wonder about the potential for certain "soundshapes" to be more life-affirming than others (in the context of healing). Some cymatic research suggests that sound might be made of holographic bubbles and by looking at the shapes single tones produce (called cymagliphs) one can easily picture what might be happening as sound reaches our bodies (specially water molecules inside us). I am also familiar with some more "esoteric" bodies of work related to the use of sound to stimulate the human energy system.
As part of my research, I have tried and tested various technologies based on most of what I´ve shared here, particularly varieties of what´s called "auditory driving" (or brainwave entrainment), but also other modalities using sound, light and subtle energy. Being a developer of such technologies myself, this field is of special interest to me and as a result, I am in conversations with some researchers I´ve found to be "jumping" around the various fields that this inquiry is weaved upon, but still, I would love to get some help !
Can you give me a hand in any ways ?
Perhaps you can:
- point me at relevant resources I an unaware of
(I haven´t included everything here, but what´s seems most relevant to my question)
- put me in contact with researchers who have similar interests to mine
- suggest places in which I might be able to conduct research that includes detection of various biomarkers such as EEG, galvanic skin response, HRV... etc (having access to other brain or body imaging techniques would be amazing too of course)
- join me ? !
Thank you so much for reading and for whatever you might contribute with (even if it´s only reading) 
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Dear Javi,
I really appreciate your effort and even I am very interested in this kind of work. Let me know if you come across any good research work. Please go through the below links...
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Anyone interested and to do a comparison study or topics related to neurofeedback training for ADHD children with Malaysian sample?
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Thank you for you kind offer Mercedes. How do I contact you? 
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I am currently working with neurofeedback by fMRI in healthy volunteers to figure out if we can induce, after a one-hour neurofeedback session, improvement of motor performance. 
During the neurofeedback session participants would perform motor imagery of right hand finger movement associated with neurofeedback training.
The motor imagery task would be imagining a predefined finger tapping sequence (little, middle, ring, index, ring, little, middle) at 4Hz.
Beforehand I would expect subtle motor improvement after only 1h of motor imagery training. This is especially critical in my case because both groups (neurofeedback and control) would perform motor imagery, but one group would be performing while receiving neurofeedback information in real time.
My biggest challenge so far is how to measure subtle differences in motor performance. In other words, what are the best ways to assess improvement of motor performance in my case? Which measurement would be sensitive enough to detect differences between groups?
Should I try collecting data about tapping speed and error rate (based on the predefined sequence) or should I try to investigate myoelectric response changes both before and after motor imagery? Or both?
Thank you in advance!
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Dear Theo Marins,
To analysis the motor performance, in your case I recommend you apply the myoeletric analysis, which you should find interesting responses. In fact, I believe you will can find good different response for two groups (neurofeedback and control) using the two methods, however if you use the second (eletromyographic) you can explore whether there will be differences mainly between principal muscles involved in the action. Another possibility will be if you associate both, and you can produce a new study, I'm sure.
Best regards.
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I am a  student in biomedical engineering and I interested in neuro science, I will be thankful if you help me to know more about this field.
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I mean, I know it depends also on the location and the type of pain (headache disorder, neuropathic pain, musculoskeletal pain).
I'm looking a basic solution (2 channel) with software to start using it both for research and clinical use.
One channel could be use for eeg and the other? (e.g. muscle tone, skin conductance/impedence, blood pressure, breathing, heart rate variability).
Any suggestion?
Sorry if that is a little bit broad question
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Hi,
absolutely right, depends on the kind of pain.
puls volume sensor at the temple for certain types of headache works for most patients.
a huge part of the patients who can be treated with biofeedback have chronic musculosceletal pain. EMG for tension related muscle pain, usually upper (trapezius) and lower (erector spinae) back as well as neck pain. another group of patients that might profit from biofeedback along with physiotherapy are pain patients with tension related pain or pain due to asymmetrical posture or gait after injury. Not sure how your machine is set up, but for EMG which is very effective, you might need 2 channels.
other measures:
most patients in a psychotherapeutical setting tense up because of psychological stressors. that is often accompanied by an increase in heart rate. that might be another variable to control that is not directly linked to the direct physiological cause of the pain. so by teaching subjects/patients to control their reaction to stress it might help them to alleviate pain.
hope that helps a little
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Would be grateful for any and all info regarding 64 channel and higher EEG systems.  The intended use is for source analysis and for neurofeedback at the source level.  Interested in:
  • Signal quality
  • Software - Source localization and source connectivity analysis; Ease of use; neurofeedback functionality;  
  • Ease of use
  • Anything else I should know
Currently on my radar are Brain Products/Vision, EGI, Biosemi, and Cognionics.  Not super price sensitive.  
Thanks for any assistance.
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For EEG system my personal preference is the Active II system from Biosemi. I have been using the system for more than 10 years now for all my EEG research.  The signal quality is superb, the system is extremely easy to use and portable and, you can customize it to fit your needs (i.e. support only for up to 64 channels). You need to keep in mind though that the system is intended for research applications only, and it is not a medical device.  You can check the system details and get quotation for a customized system here http://bit.do/rkibiosemi
In terms of software, my preference is EEGLab/Matlab. It is an open source, well supported and popular tool and, it is free. It has various plugins which allows you to perform any type of EEG analysis (ERP, Frequency analysis, single-trail or develop your own) and has plugins for source localization among other extensions.  It has some learning-curve to get into, especially if you want to take advantage of the full potential of the software but it worth the effort. Other options for software include BrainVision Analyzer 2, and BESA.
Another, alternative to check out is the ”On demand neuroscience measurements” service which provides data collection of EEG, eye-tracking, HRV and other measures on your experimental paradigm. You can use it to pilot test your paradigm or execute a full study.  Plus, they provide EEG pre-processing and analysis consultation and even develop customized software tools for EEG analysis (i.e. for real-time feedback). You can check it here http://bit.do/rkiondemand
If you are OK with using less channels (i.e. 24-channels or 32-channels) there some other options available for the EEG hardware. You can check for example, Discovery 24E from Brain Masters.  We recently got one for use in neuro-feedback protocols but I haven’t used it yet on a research setting yet.
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Just sat in on a presentation arguing that neurofeedback could affect positive clinical responses in patients who made little progress with other short-term therapies. Even suggesting that these modalities have shown results with persistently suicidal patients treated on an outpatient basis. 
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For reported research, there are various studies regarding "neurofeedback" or "EEG biofeedback" at the NIH's Entrez PubMed Website. The best bet may be to enter an advanced search with the specific condition, e. g. depression, PTSD using each of the terms in quotes above. Though, they may not specifically refer to Acute Inpatient Psychiatric participants. Specific studies include the Peniston Protocol. I think his original research was in a VA hospital. You may also want to try the Clinical Trials Network for NIH for current or recent sutdies.
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We want to identify the differences in MRCP's and ERD's during dynamic wrist and hand movement. What parameters would be important to investigate when the differences will serve to the development of a platform for BCI- (neurofeedback) rehabilitation? We are already extractiong the time and amplitude of Peak negativity and could look at the rebound rate. What else would you recommend?
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It would be interesting to quantitate the cortical potentials to wrist flexion torque, wrist extension torque, with prescribe torque objectives, in regard to velocity of torque development, amplitude of torque generated. Then compare rhythmic patterns with  alternation of flexion and extensor movement responding to movement cueing in regard to direction, velocity, and force.
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I need to immediate answer please
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yes
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this is a research problem
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One problem could be that this design could not resolve whether the effect was due to theta inhibition having a negative effect or theta reinforcement having a positive effect on your dependent variable.
Another problem could be, theta inhibition could have the same effect on your independent variable because, perhaps, it is the learned ability to regulate the theta state, not some conditioned change in its average amplitude, that is responsible for the effect.
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i require researches in which the atheletes alpha peak or SMR in Cz have been studied
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Very useful information, thank you!
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I search a free software for real time neurofeedback study. I am aware of FSL-based FRIEND and I have just heard of AFNI based program. I plan to do my offline analysis with SPM. My search is for the online real time analysis and display of the neurofeedback back to participant. Is there anyone who had used both of them? 
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AFNI is great. both for online and offline. 
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What I'm looking for are nontrivial (e.g. something more interesting than eyeblinks) experiments where the correlations between objective data and subjective experience are clearly distinguishable from noise, in as close to real-time as possible, with the least amount of postprocessing needed (or where software rapidly automates the postprocessing).
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Thanks Tomas, will check it out.
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Many papers address steady state modulation using EEG neurofeedback, but does anybody know of any studies modulating ERP components?
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Unfortunately they are rare, but here is a promising approach: http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00265/full
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EEG signal processing, Neurofeedback training
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Hi Peyman, you can find a selection of 160 recent and classic papers here: http://www.mendeley.com/groups/516631/eeg-neurofeedback/papers/
Hope that helps, Tomas
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In the treatment of depression, anxiety, PTSD, and/or mild cognitive disorder and/or ADHD? Which devices are recommended? There are different models available, some with two channels, some with eight channels. Can you recommend literature on the topic to get started?
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Dear Walter,
neurofeedback is well investigated in the treatment of ADHD and insomnia. For most other indications, the evidence of its utility is weak. You can find many articles, reviews and a meta-analysis on neurofeedback on my profile site. If you can't find them there, you can download all PDF's from our community at: http://www.brainclinics.com/community 
Re. equipment, in general a 1 or 2 channel systems should be sufficient. But make sure to check what type of hardware and software to use. There are many 'quack' systems on the market with no published material on the methods used. In general, the more fantastic the claims made, the more critical to be. Some types of equipment that are trustworthy: Mind Media (Nexus), Thought Technology (Infinity) and Brainquiry (PET).
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Hardware -- preferably greater than 15 channels, looking for the least noisy EEG signal. Also looking for recommendations on the best quality dry sensors.
Software -- looking for packages that can help automate as much post processing/analysis as possible, enabling useful high-level visualization of the results and requiring the least amount of upfront mathematical knowledge. (I'd prefer to learn the math on an as-needed basis to more deeply explore interesting results).
Also, I would be interested in learning about the specific types of features that would be most useful to look for in these packages (e.g. identification of signal sources, visualization of functional networks, quantitative EEG functionality, etc.)
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A little expensive but is a good, reliable equipment. Years ago, the price of a 32 channel equipment -the company sells modules of 32 channels- was about 25 000 EUR plus 4500 for each software package (Recorder and Analyzer). The MR compatible version was a little more expensive -about 7 000 EUR more in that time.
But you can ask them for a quotation they are very quick and efficient, it is indeed a very good company.
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Does this device provide the raw EEG signal or alpha, beta, etc. waves? Does it collaborate with MATLAB?
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In carrying out experiments related to imagine the movement of a hand using C3 and C4 electrodes.
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Single Trial Classification of Motor Imagination Using 6 dry EEG electrodes
Popescu F, Fazli S, Badower Y, Blankertz B, Muller KR