For all products. Structured recording and faster processing.
Available 24/7 for recording and preparing your request.
NeuroGuide is a premium, end-to-end workflow environment for professionals to transform recorded EEG data into structured quantitative results and real-time training goals. This unified suite enables therapists, coaches, and researchers to seamlessly move from raw data to interpretable insights within a scientifically grounded user interface. Leveraging over 20 years of expertise within the IFEN network, NeuroGuide provides reliable comparisons with normative databases and specialized tools like LORETA localization to support high-quality documentation and individualized self-regulation protocols.
NeuroGuide is an informative and comprehensive analysis system for evaluating EEG data, particularly for quantitative evaluations (qEEG/QEEG analyses). The software is used in research, teaching, and training, e.g., for statistical analysis and visualization of EEG data (e.g., in EDF format) and for displaying brain maps.
NeuroGuide is not a CE-marked medical device within the meaning of MDR (EU) 2017/745.
In the US, NeuroGuide is FDA 510(k) cleared (e.g., K041263). In the US, the outputs are for professional interpretation and are neither a diagnosis nor a substitute for clinical judgment.
Couldn't load pickup availability
In stock
Delivery time approx. 1-4 working days
All prices include 19% German VAT. For business customers from the EU, VAT will be automatically removed at checkout after entering a valid VAT ID number (reverse charge).
The software includes instant split-half and test-retest reliability checks to confirm the consistency of the recording before you begin analysis.
NeuroGuide supports a variety of formats, including Lexicor, EDF and ASCII, and enables the integration of the Talairach Atlas as well as LORETA exports for the Key Institute.
Your investment includes one year of free software updates and lifetime technical support to ensure reliable operation in your professional daily life.
Yes, NeuroGuide has a comprehensive lifespan norm database that allows for precise comparisons across various age groups, from childhood to late adulthood.
NeuroGuide is designed as a seamless end-to-end workflow environment that transforms recorded EEG data into structured quantitative results and real-time training goals – along a clear process chain:
EEG/qEEG recording → Segment selection → Artifact-assisted processing → Normative comparison → Mapping & report generation → Training configuration
Note regarding training configuration (compatibility):
For training configuration, it is recommended to use Discovery with Brain Avatar Acquisition and Training , as well as additional functions, due to compatibility concerns. Otherwise, neurofeedback/Z-score add-ons are required, and the Discovery interface must also be configured. Therefore, NeuroGuide is particularly recommended for pre- and post-training tests , general qEEG analyses in assessment, and reports .
This uniform structure makes it efficient to get from raw data to interpretable outputs and session preparation within a single suite of raw data.
Neurofeedback Partner is the official importer of NeuroGuide and stands for conformity, documentation and product safety.
Studies show that EEG feedback training is used in certain contexts – NeuroGuide provides a technical platform for this.
Carrick, FR, Pagnacco, G., Hankir, A., Abdulrahman, M., Zaman, R., Kalambaheti, ER, Barton, DA, Link, PE, & Oggero, E. (2018). The treatment of autism spectrum disorder with auditory neurofeedback: A randomized placebo controlled trial using the Mente Autism device. Frontiers in Neurology , 9 (JUL). https://doi.org/10.3389/fneur.2018.00537
Engelbregt, HJ, Brinkman, K., van Geest, CCE, Irrmischer, M., & Deijen, JB (2022). The effects of autonomous sensory meridian response (ASMR) on mood, attention, heart rate, skin conductance and EEG in healthy young adults. Experimental Brain Research , 240 (6). https://doi.org/10.1007/s00221-022-06377-9
Eller, F. (2015). The effectiveness of neurofeedback training for children with autism spectrum disorders. In The Effectiveness of Neurofeedback Training for Children with Autism Spectrum Disorders . https://doi.org/10.1007/978-3-658-08290-1
Faridi, F., Ameri, H., Nosratabadi, M., Hejazi, SMA, & Thatcher, RW (2023). Effect of LORETA Z-score Neurofeedback on Language, Working Memory, and Attention in People With Aphasia. Iranian Rehabilitation Journal , 21 (4). https://doi.org/10.32598/irj.21.4.1927.1
Kerson, C., Lubar, J., deBeus, R., Pan, X., Rice, R., Allen, T., Yazbeck, M., Sah, S., Dhawan, Y., Zong, W., Roley-Roberts, ME, & Arnold, LE (2023). EEG Connectivity in ADHD Compared to a Normative Database: A Cohort Analysis of 120 Subjects from the ICAN Study. Applied Psychophysiology Biofeedback , 48 (2). https://doi.org/10.1007/s10484-022-09569-9
Lin, IM, Yu, HE, Yeh, YC, Huang, MF, Wu, KT, Ke, CLK, Lin, PY, & Yen, CF (2021). Prefrontal lobe and posterior cingulate cortex activations in patients with major depressive disorder by using standardized weighted low-resolution electromagnetic tomography. Journal of Personalized Medicine , 11 (11). https://doi.org/10.3390/jpm11111054
Logemann, HNA, Lansbergen, MM, Van Os, TWDP, Böcker, KB E., & Kenemans, JL (2010). The effectiveness of EEG feedback on attention, impulsivity and EEG: A sham feedback controlled study. Neuroscience Letters , 479 (1). https://doi.org/10.1016/j.neulet.2010.05.026
Thatcher, R. W. (2014). Advances in Assessment and Treatment of ADHD Using Network Analyzes. Biofeedback , 42 (2). https://doi.org/10.5298/1081-5937-42.2.07
Sokhadze, EM, Kelly, DP, Lamina, E., & Casanova, MF (2021). Neurofeedback Training with Concurrent Psychophysiological Monitoring in Children with Autism Spectrum Disorder with Comorbid Attention Deficit/Hyperactivity Disorder. In Contemporary Clinical Neuroscience . https://doi.org/10.1007/978-3-030-54564-2_15
Zlatkova, K. (2025). Neurofeedback for Brain Dysregulation in Autism: QEEG and swLORETA Case Findings in the Context of Frequent Screen Exposure. Nootism , 1 (4). https://doi.org/10.64441/nootism.1.4.4