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.
Questions related to Neurofeedback
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.
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!
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.
I was wondering if someone could recommend a good article/book chapter where imagery is used with neurofeedback in sport.
thank you!
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?
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.
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.
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?
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...? :(
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
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!
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
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!
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.
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
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.
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!
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.
Working with Correctional youth facility would implementing NFB help increase population gradation and decrease recidivism among troubled youth?
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.
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!!
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?
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.
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.)
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)
Anyone interested and to do a comparison study or topics related to neurofeedback training for ADHD children with Malaysian sample?
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!
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.
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
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.
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.
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?
I need to immediate answer please
i require researches in which the atheletes alpha peak or SMR in Cz have been studied
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?
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).
Many papers address steady state modulation using EEG neurofeedback, but does anybody know of any studies modulating ERP components?
EEG signal processing, Neurofeedback training
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?
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.)
Does this device provide the raw EEG signal or alpha, beta, etc. waves? Does it collaborate with MATLAB?
In carrying out experiments related to imagine the movement of a hand using C3 and C4 electrodes.