Neural NoiseBCI Monthly Roundup — September 2008
1 September 2008 – 30 September 2008
Introduction
September 2008 put the focus on taking BCIs out of the lab: environmental noise was shown to cut P300 performance, and preprocessing and artifact handling (EOG, EMG) often mattered more than classifier choice. Real-world systems advanced with a brain-actuated wheelchair using asynchronous EEG and shared control, fNIRS and auditory P300 for totally locked-in ALS patients, and P300- and motor-imagery-driven orthoses for rehabilitation. Clinical translation was underscored by predictors of SCP-BCI success in ALS, first P300 speller results in ALS, and EEG-BCI rationale for stroke rehabilitation; DBS for depression was reviewed as part of the broader neurotechnology picture. Invasive neuroprosthetics stayed grounded in trajectory decoding and cognitive control from motor and parietal cortex, with European and textbook overviews framing the field. Methodologically, the month highlighted multi-class and filter-bank CSP, online and co-adaptation, and passive BCI ideas—with the recurring message that both brain and system must adapt for reliable, long-term use.
Suggested Titles
- From Lab to Life: Noise, Artifacts, and Real-World BCI
- Locked-In No Longer: fNIRS and Auditory P300 for the Severely Paralyzed
- Preprocessing and Co-Adaptation: Why BCI Performance Hinges on More Than the Classifier
- Wheelchairs, Orthoses, and Spellers: Non-Invasive BCIs in Action
- Motor Cortex to Machine: Neuroprosthetics and BCI Methods in September 2008
Papers and Prototypes
Real-world deployment and robustness were central. Work on Environmental Noise and P300-Based BCI (Human Factors and Ergonomics Society Annual Meeting, 2008-09-01) showed that even moderate environmental noise significantly hurt P300 detection. A Brain-Actuated Wheelchair: Asynchronous and Non-Invasive BCI (Clinical Neurophysiology, 2008-09-01) combined asynchronous EEG with shared control and topological maps for high-level navigation. Steady-State Visual Evoked Potential (SSVEP)-Based Communication: Impact of Harmonic Frequency Components (J. Neural Eng., 2005) and later user-friendly SSVEP designs addressed practical communication performance; A User-Friendly SSVEP-Based Brain-Computer Interface (J. Neural Eng., 2010) targeted the gap between lab and deployment.
Communication and control for locked-in users advanced on several fronts. A Communication Means for Totally Locked-In ALS Patients Based on Changes in Cerebral Blood Volume Measured with Near-Infrared Light (IEICE Trans. Inf. Syst., 2007) demonstrated fNIRS-based BCI for totally locked-in patients as an alternative when EEG is unreliable. An Auditory Oddball BCI for Completely Paralysed Patients (Psychophysiology, 2009) showed that an auditory P300 paradigm could support usable communication without visual gaze. A P300-Based Brain-Computer Interface: Initial Tests by ALS Patients (Clinical Neurophysiology, 2006) was cited as the first formal P300-BCI evaluation in ALS. Brain-Computer Interface Using a Simplified Functional Near-Infrared Spectroscopy System (J. Neural Eng., 2007) showed that a two-channel fNIRS setup could support mental-imagery classification, and Temporal Classification of Multichannel Near-Infrared Spectroscopy Signals (NeuroImage, 2007) used spatial and temporal fNIRS features for mental-imagery BCI.
Motor control and orthoses featured asynchronous and P300-driven systems. Asynchronous Non-Invasive Brain-Actuated Control of a Robot Orthosis (Artif. Intell. Med., 2009) used SMR-based EEG to drive a robot orthosis for voluntary hand opening in tetraplegic users. Non-Invasive Brain-Computer Interface as an Orthotic Device for Hand Rehabilitation (IEEE Trans. Neural Syst. Rehabil. Eng., 2009) showed P300 commands driving a robotic orthosis for hand rehabilitation in motor-impaired patients.
Decoding and classification methods moved toward multi-class and continuous control. Multi-Class Independent Common Spatial Patterns (IEEE EMBS 2008, 2008-09-18) extended CSP with ICA for multi-class motor imagery. Multi-Class Filter Bank Common Spatial Pattern for Four-Class Motor Imagery BCI (J. Neural Eng., 2009) applied FBCSP to four-class motor imagery with strong results on BCI Competition IV Dataset 2a. Decoding Two-Dimensional Movement Trajectories Using Electrocorticographic Signals in Humans (J. Neural Eng., 2007) decoded 2D hand trajectories from human ECoG and highlighted gamma-band power for continuous control.
Core methods and tooling were widely cited. Preprocessing and Meta-Classification for Brain-Computer Interfaces (IEEE Trans. Biomed. Eng., 2007) showed preprocessing often had larger impact than classifier choice. HomER: A Review of Time-Series Analysis Methods for Near-Infrared Spectroscopy of the Brain (Applied Optics, 2009) described the HomER toolbox as the standard open-source fNIRS analysis framework. Recipes for the Linear Analysis of EEG (NeuroImage, 2005) and Imaging Brain Dynamics Using Independent Component Analysis (Proceedings IEEE) anchored spatial filtering and ICA in 2008 BCI pipelines. Enhancing Performance of Noninvasive BCI System by Removing Electrooculographic Artifacts (IEEE Trans. Systems, Man, Cybernetics, 2009) and frameworks for treating EMG artifacts addressed EOG/EMG in real-world use. OpenViBE: An Open-Source Software Platform to Design, Test, and Use BCIs (Presence, 2010) reflected the rise of OpenViBE alongside BCI2000 as a main open-source BCI platform.
Clinical and Regulatory
Clinical translation and patient stratification were prominent. Predictors of Successful Self Control During Brain-Computer Communication (J. Neurology, Neurosurgery and Psychiatry, 2008-09-01) identified motivation, cognitive status, and disease stage as predictors of SCP-BCI learning in ALS. Brain-Computer Interface Operation of Robotic and Prosthetic Devices (Disease Models & Mechanisms, 2008) reviewed BCI control of robotic and prosthetic devices and the steps from lab to clinic. Abnormalities of Motor Cortex Excitability and EEG-Based Rehabilitation (Restorative Neurology and Neuroscience, 2008-09-01) linked post-stroke motor cortex excitability and EEG to a rationale for EEG-BCI rehabilitation. Deep-Brain Stimulation for Depression — Emerging Field Overview 2008 (IEEE Engineering in Medicine and Biology Magazine, 2008-09-01) situated DBS for treatment-resistant depression within neurotechnology and BCI-related neuromodulation. A Critical Review of Interfaces with the Peripheral Nervous System for Rehabilitation (J. Peripheral Nervous System, 2005) placed central BCI work in the broader picture of peripheral and central neural interfaces for rehabilitation.
Companies and Funding
No major funding or company announcements appeared in the briefs. Infrastructure and tools dominated: OpenViBE and BCI2000 were the main open-source BCI software platforms, and Rapid Prototyping of a Brain-Computer Interface Concept (IEEE Trans. Neural Syst. Rehabil. Eng., 2001) was cited in connection with g.tec Guger Technologies as a leading specialized BCI hardware provider. Sensors for Brain-Computer Interfaces (IEEE Engineering in Medicine and Biology Magazine, 2006) reviewed sensing technologies (e.g., Utah arrays, Michigan probes) relevant to invasive BCI programs.
Emerging Themes
Conceptual and design themes emphasized adaptation and new forms of output. Brain-Computer Interfaces as New Brain Output Pathways (J. Physiology, 2007) framed BCIs as new output pathways requiring joint adaptation of brain and interface. On the Need for On-Line Learning in Brain-Computer Interfaces (IJCNN 2004) argued for online co-adaptation for long-term robustness. Towards Passive Brain-Computer Interfaces (J. Neural Eng., 2011) systematized passive BCI concepts and mental-state monitoring to augment active control. Embodiment and the Inner Life: Cognition and Consciousness in the Space of Possible Minds (Oxford University Press, 2010) raised questions about agency when neural signals bypass the body. Brain-Computer Interface Developments in Europe (TOBI/BCI 2008 Overview) (Springer, 2010) summarized European BCI research as of 2008–2009. Toward Brain-Computer Interfacing (MIT Press Edited Volume) (MIT Press, 2007) remained the main BCI textbook for paradigms, signal processing, applications, and translation. Invasive neuroprosthetics were anchored in historical and current work: Operant Conditioning of Cortical Unit Activity (Science, 1969), Restoration of Neural Output from a Paralyzed Patient by a Direct Brain Connection (NeuroReport, 1998), Real-Time Prediction of Hand Trajectory by Ensembles of Cortical Neurons in Primates (Nature, 2000), Direct Cortical Control of 3D Neuroprosthetic Devices (Science, 2002), and Cognitive Control Signals for Neural Prosthetics (Science, 2004) and Cognitive Neural Prosthetics (Trends in Cognitive Sciences, 2004) highlighted posterior parietal and cognitive signals for goal-directed control beyond primary motor cortex.