ECoG

A collaboration involving West China Hospital of Sichuan University combined healthy neural recordings with biophysical constraints to decode motor signals affected by pathology. In a gesture classification task using high-density electrocorticography from patients with gliomas infiltrating the motor cortex, the study reported improved classification accuracy. Correlation between motor-command representations and healthy canonical representations increased from r = 0.66 to r = 0.94. The authors interpret the model's behavior as an "inverse weighting" strategy that downweights high-power pathological noise and redirects spatial attention toward functional compensatory regions. This is a proof of concept for decoding in compromised networks, not evidence of restored motor function.

Neuracle Medical Technology (Shanghai) Co., Ltd. listed its K1014-15 Implantable EEG Electrode Kit in the National Medical Products Administration's medical device unique identification database. The entry describes a kit containing a cortical electrode (1014-15) and supporting components, forming part of an implantable BCI hand motor function compensation system. The complete system also includes a BCI implant, an EEG transceiver, pneumatic glove equipment, and related software. The record identifies the kit and its relationship to the system; UDI listing itself is neither a new marketing authorization nor evidence of safety or improved hand function in patients.

Neuracle Medical Technology (Shanghai) Co., Ltd. listed its Model 1014-15 cortical electrode in the National Medical Products Administration's medical device unique identification database. The entry identifies the electrode as a component of an implantable EEG electrode kit, which forms part of an implantable BCI hand motor function compensation system. The system also includes a BCI implant, an EEG transceiver, pneumatic glove equipment, and related software. The record specifies the electrode's model, identifier, and relationship to the system; UDI listing itself is neither a new marketing authorization nor clinical evidence of improved hand function.

Neuracle Medical Technology (Shanghai) Co., Ltd. listed its K1014-35 Implantable EEG Electrode Kit in the National Medical Products Administration's medical device unique identification database. The entry describes a kit containing a cortical electrode (1014-35) and supporting components, forming part of an implantable BCI hand motor function compensation system. The complete system also includes a BCI implant, an EEG transceiver, pneumatic glove equipment, and related software. The record identifies the kit and its relationship to the system; UDI listing itself is neither a new marketing authorization nor evidence of safety or functional improvement in patients.

Neuracle Medical Technology (Shanghai) Co., Ltd. listed its Model 1014-25 cortical electrode in the National Medical Products Administration's medical device unique identification database. The entry identifies the electrode as part of an implantable EEG electrode kit, which is a component of an implantable BCI hand motor function compensation system. The full system also includes a BCI implant, an EEG transceiver, pneumatic glove equipment, and related software. The record identifies the electrode and its relationship to the kit and system; UDI listing itself is neither a new marketing authorization nor clinical evidence of improved hand function.

Neuracle Medical Technology (Shanghai) Co., Ltd. listed an Implanted EEG Electrode Kit, Model K1014-25, in the National Medical Products Administration's medical device unique identification database. The entry describes a kit containing a cortical electrode (1014-25) and supporting components, forming part of an implanted BCI hand motor function compensation system. The system also includes a BCI implant, an EEG transceiver, pneumatic glove equipment, and related software. The record identifies the kit and its relationship to the system; UDI listing itself is neither a new marketing authorization nor evidence of functional improvement in patients.

Neuracle Medical Technology (Shanghai) Co., Ltd. listed its Model 1014-35 cortical electrode in the National Medical Products Administration's medical device unique identification database. The entry identifies the electrode as a component of an implanted EEG electrode kit, which in turn forms part of an implanted BCI hand motor function compensation system. The system also includes a BCI implant, an EEG transceiver, pneumatic glove equipment, and related software. The entry clarifies these component relationships; UDI listing itself is neither a new marketing authorization nor evidence of clinical effectiveness.

Researchers developed a soft monitoring system that conforms to the brain surface and validated it in rabbit brain tumour excision models. It measures contact pressure during surgery while recording neural electrical signals and temperature. The study found a correlation between somatosensory evoked potentials, a type of neural electrical signal, and pressure-induced damage to cortical neural pathways. Evans blue staining and magnetic resonance imaging showed that contact pressure above 80 kPa caused irreversible craniocerebral injury under the experimental conditions studied. The system uses a temperature-responsive hydrogel interface. The pressure finding comes from animal experiments and does not establish a safety threshold for human surgery.

Precision Neuroscience announced a human central nervous system atlas combining high-resolution surface electrical recordings from 70 patients at 12 academic medical centers. It spans multiple cortical regions as well as brainstem and spinal cord structures. The company says the atlas includes more than 180 hours of synchronized neural and behavioral data and demonstrates motor decoding, spoken-word classification, and classification of eight facial expressions. The manuscript describes a 70-patient cohort; the broader total of patients implanted with the company's system had surpassed 100 by the announcement. These are distinct counts. The findings were disclosed by the company in connection with a preprint that has not been peer reviewed.

Researchers combined high-resolution surface electrophysiology recordings from the first 70 patients implanted with an anatomically conformal, thin-film neural interface to build a functional atlas of the human central nervous system. The interface was positioned at more than 100 locations, with >100,000 electrode deployments spanning motor, sensory, language and other functional regions, as well as the brainstem and spinal cord. Aggregated recordings showed spatially ordered digit representations, movement-related frequency-band changes and task-modulated neural population activity. The study also demonstrated real-time neuroprosthetic control and decoding of cortical activity associated with speech, facial movements and emotional expressions. This approach combines recordings across patients rather than simultaneously reading the entire central nervous system in one person. This study is a preprint and has not been peer reviewed.

A research team has used a single high-density electrocorticography (ECoG) implant, an electrode array placed on the brain's surface, to decode speech and gestures simultaneously in people with paralysis, ApplySci reported. When participants simply attempted to speak or gesture, a personalized virtual avatar spoke or moved accordingly, either both at once or separately. The researchers expected the brain signals during combined expression to be a simple sum of the two, but the data differed clearly from speech or gestures alone. Participants practiced a limited vocabulary of up to 10 gestures and 10 words or phrases.

A collaboration involving the University of Cambridge analyzed surface electrocorticography recordings from the human ventral anterior temporal lobe. It found significant decoding of graded, multidimensional semantic information when signals across 4-200 Hz were considered together, but not from individual frequency bands. Using representational similarity learning on time-frequency power and phase data, the researchers compared three hypotheses about how semantic information maps onto signal frequencies. The authors interpret the findings as supporting transfrequency coding, in which some information emerges only when multiple frequencies are considered jointly. The study has not been peer reviewed.

Precision Neuroscience closed an oversubscribed $250 million Series D co-led by Pershing Square Inc., the Ackman Oxman Institute and an undisclosed life sciences fund, bringing its total raised since 2021 to $430 million. The company says it has completed more than 100 patient procedures at 18 medical institutions and holds FDA clearance for its Layer 7 Cortical Interface, a thin-film electrode array placed on the brain surface. It plans to use the money to expand clinical work, move Layer 7 through the next stages of FDA review and build out commercialization.

A participant with severe upper-limb paralysis caused by amyotrophic lateral sclerosis (ALS) wore an endovascular stent-electrode array and a scalp EEG cap at the same time, in the same session, while attempting ankle flexion and extension. Both recordings changed markedly during attempted movement, but the stent array showed stronger per-channel motor modulation and was unaffected by skull attenuation. Scalp EEG was more susceptible to eye blinks and jaw-muscle activity, while the stent array picked up prominent cardiac signals. Neither method reliably distinguished left from right ankle movement, leaving spatial localization an open problem.

Researchers introduced a framework for analyzing neural traveling waves and identified oppositely directed propagation modes in marmoset electrocorticography and human EEG recordings. The waves were concentrated in specific spatial and temporal frequency ranges, involving alpha and low-beta activity, with propagation speeds the authors considered physiologically plausible. The framework analyzes temporal frequency, spatial frequency, and propagation direction, accommodates irregular sensor layouts, and helps distinguish traveling from standing waves. The study also introduces a single-trial detection method. These findings concern animal and human neural signal analysis, not demonstrated improvements in BCI control or clinical outcomes. The work is a preprint that has not been peer reviewed.

Intracranial EEG (iEEG), recorded by electrodes implanted inside the brain, is widely regarded as an ideal signal for decoding intent, but differing datasets and preprocessing pipelines make it hard to tell whether models are actually improving. A research team built iMINDBench, a benchmark that brings together naturalistic movie-watching data from three institutions, 15 decoding tasks, standardized preprocessing and fixed evaluation splits. Pretrained systems generally beat baselines within their own preprocessing pipeline, but classic spectral baselines remained competitive on other institutions' data. Scaling up supervised data from other subjects or institutions to 25 times the volume yielded only limited, task-dependent gains over training on data from the same session.

Researchers introduced NeuroGate, a cross-regional signal translation framework that predicts an unrecorded brain region's waveform from a recorded region. Across 56 pathways spanning rodent local field potentials, human stereo-EEG and electrocorticography, and scalp EEG, its waveform predictions were more accurate than those of 13 deep-learning and linear baselines. To test directionality, the researchers silenced piriform-cortex output. Piriform-to-bulb predictions collapsed in all 8 folds, while reverse predictions were preserved. The authors interpret this as consistent with monosynaptic anatomy and demonstrate applications in assessing recording redundancy and testing directional translation. This study is a preprint and has not been peer reviewed.

The study was published in Journal of neural engineering on August 13, 2026, presenting the first strength-duration characterization of cortical evoked potentials elicited by endovascular stimulation adjacent to the cerebellum. The authors note that electrical stimulation and neural recording underpin neural prostheses for restoring function and treating neurological disorders, but that clinical adoption is limited by the invasiveness of implantation, while the Endovascular Neural Interface offers an alternative by accessing intracranial targets through the cerebral vasculature. A polymer-based stent-electrode array was deployed into the left transverse sinus of an ovine model, and biphasic current pulses targeting the cerebellum were delivered via the stent electrodes while a subdural electrocorticography grid recorded cortical responses. Endovascular stimulation consistently evoked time-locked cortical potentials with early and late components at approximately 40 ms and 100 ms post-stimulation, and impedance monitoring confirmed electrode functionality and stability throughout. Strength-duration analysis revealed rheobase and chronaxie values, providing a quantitative basis for parameter selection and comparison with established intracranial stimulation modalities.

Published in Journal of Neural Engineering on August 7, 2026, the study analyzed human electrocorticography data from four subjects to investigate medial wall contributions to finger movement decoding. Significantly above-chance finger movement detection was observed across multiple medial wall subregions, with local motor potentials and oscillatory power in the 8-12 Hz and 12-34 Hz bands contributing most strongly. Feature dynamics shared key properties with primary motor cortex, including pre-movement desynchronization, while also exhibiting region-specific positive or negative LMP modulations. Medial wall channels in two subjects enabled significant differentiation between individual fingers, and one subject showed decoding of both contralateral and ipsilateral finger movements, though this is a single case and preliminary.

Brown University researchers have posted a preprint proposing Neural SS-DMP, a movement decoder that does not output hand coordinates directly: it first infers a compact set of parameters describing the motion the user intends, then hands them to a generator governed by physical dynamics that draws the full trajectory, so decoded output stays within motion a body can actually produce. The generator is tuned per person, blending general movement dynamics with the individual's own patterns estimated from training data, and the authors say that across two kinds of neural recording the model came out ahead of strong existing methods on both accuracy and trajectory smoothness while holding performance longer on recordings made after training ended. The study is a preprint, has not been peer reviewed, and its results come entirely from offline data rather than live control.

The researchers developed a deep learning architecture that analyzes multichannel interictal intracranial EEG to localize epileptogenic zones without requiring seizure-period recordings or manual annotation. The model combines a Morlet-wavelet temporal Transformer with a spatial attention encoder. It was evaluated with 50.5 hours of recordings from 161 patients and 17,012 channels at 7 independent centers. Leave-one-center-out validation produced a pooled AUROC of 0.778 with a 95% confidence interval of 0.748 to 0.808, and discrimination remained above chance at every held-out center. The results indicate performance comparable to established electrophysiological baselines across centers and implantation modalities, but prospective clinical validation is still needed. This medRxiv preprint has not been peer reviewed.

A bioRxiv preprint finds that adding a surprisal predictor on top of GPT-2 contextual embeddings contributes almost nothing extra to predicting high-gamma ECoG responses during speech comprehension.

University of Washington Seattle researchers combine optogenetic stimulation with micro-ECoG in a semi-chronic implant, enabling stable causal connectivity measurement in macaques over weeks to years.

Researchers propose an injectable, in-situ-gelling multifunctional hydrogel to address the failure modes of micro-ECoG cortical recording — dural barrier disruption, cortical micromotion that weakens device-tissue coupling, and biofouling that triggers a foreign-body response. Combining dopamine-grafted sodium alginate with branched polyethyleneimine, the hydrogel forms a quasi-zwitterionic network that resists nonspecific protein adsorption and provides catechol-mediated wet adhesion, gelling rapidly under surgical-compatible conditions through dual macromolecular crosslinking without diffusible small-molecule monomers. Integrated with a 128-channel flexible micro-ECoG mesh array, the platform reduced glial activation and fibrotic encapsulation and preserved stable, high-fidelity cortical recording over the 3-week early chronic period. The authors say co-designing barrier repair, interface adhesion and antifouling in a single material can improve long-term function.