Johannes van Dijk
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View article: Insular error network enables self-correcting intracranial brain-computer interface
Insular error network enables self-correcting intracranial brain-computer interface Open
Error recognition is fundamental to adaptive behavior, enabling rapid compensatory action when outcomes deviate from expectations. Central to this function are neural circuits for performance monitoring, encoding cognitive signals that cou…
View article: Detection of nocturnal epileptic seizures using a wearable armband: A deep learning approach combining accelerometry and photoplethysmography signals
Detection of nocturnal epileptic seizures using a wearable armband: A deep learning approach combining accelerometry and photoplethysmography signals Open
Our two-step approach enables accurate, long-term detection of severe nocturnal seizures in home settings. The wearable system provides a practical solution for continuous monitoring and real-time alerts, thus potentially reducing SUDEP ri…
View article: Decoding continuous goal-directed movement from human brain-wide intracranial recordings
Decoding continuous goal-directed movement from human brain-wide intracranial recordings Open
Reaching out your hand is an effortless yet complex behavior that is indispensable in daily life. Neural correlates of reaching behavior have been observed and decoded beyond the motor cortex, but the degree and granularity of movement rep…
View article: Estimation of Respiratory Effort Through Diaphragmatic Electromyography Features
Estimation of Respiratory Effort Through Diaphragmatic Electromyography Features Open
Respiratory effort is a critical parameter for assessing respiratory function in various pathological conditions such as obstructive sleep apnea (OSA), as well as in patients undergoing respiratory ventilation. Currently, the gold-standard…
View article: Moving beyond the motor cortex: A brain-wide evaluation of target locations for intracranial speech neuroprostheses
Moving beyond the motor cortex: A brain-wide evaluation of target locations for intracranial speech neuroprostheses Open
Speech brain-computer interfaces (BCIs) offer a solution for those affected by speech impairments by decoding brain activity into speech. Current neuroprosthetics focus on the motor cortex, which might not be suitable for all patient popul…
View article: Real-time detection of absence seizures
Real-time detection of absence seizures Open
The algorithm has the potential to play a useful role in the advancement of clinical and research applications aimed at studying transient impaired attention during absences.
View article: Multi-modal multi-task deep neural networks for sleep disordered breathing assessment using cardiac and audio signals
Multi-modal multi-task deep neural networks for sleep disordered breathing assessment using cardiac and audio signals Open
Results show that combining cardiac and audio signals can enhance the performance of SDB detection and highlight the potential of multi-modal data fusion for further research in this domain.
View article: Cortical Excitability Before and After Long‐Term Perampanel Treatment for Epilepsy
Cortical Excitability Before and After Long‐Term Perampanel Treatment for Epilepsy Open
Objective Antiseizure medications (ASMs), which may influence cortical excitability, are the mainstay of epilepsy treatment. Transcranial magnetic stimulation (TMS) helps evaluate cortical excitability. We assessed changes in TMS responses…
View article: Moving beyond the motor cortex: a brain-wide evaluation of target locations for intracranial speech neuroprostheses
Moving beyond the motor cortex: a brain-wide evaluation of target locations for intracranial speech neuroprostheses Open
Speech is the fastest and most natural form of communication, which can be impaired in certain disorders. Speech brain- computer interfaces (BCIs) offer a solution by decoding brain activity into speech. Current neuroprosthetic devices foc…
View article: Global motor dynamics - Invariant neural representations of motor behavior in distributed brain-wide recordings
Global motor dynamics - Invariant neural representations of motor behavior in distributed brain-wide recordings Open
Objective . Motor-related neural activity is more widespread than previously thought, as pervasive brain-wide neural correlates of motor behavior have been reported in various animal species. Brain-wide movement-related neural activity hav…
View article: A Deep Generative Model for Five-Class Sleep Staging with Arbitrary Sensor Input
A Deep Generative Model for Five-Class Sleep Staging with Arbitrary Sensor Input Open
Gold-standard sleep scoring is based on epoch-based assignment of sleep stages based on a combination of EEG, EOG and EMG signals. However, a polysomnographic recording consists of many other signals that could be used for sleep staging, i…
View article: Estimating Respiratory Effort through Diaphragmatic Electromyography on Simulated Airway Obstructions
Estimating Respiratory Effort through Diaphragmatic Electromyography on Simulated Airway Obstructions Open
Obstructive sleep apnea (OSA) is characterized by recurrent airflow interruptions during sleep, leading to increased respiratory effort and significant health risks. Currently, the diagnosis is mainly based on nasal flow, oxygen saturation…
View article: A Spatiotemporal Deep-Learning Model for Force Estimation From Surface Electromyography
A Spatiotemporal Deep-Learning Model for Force Estimation From Surface Electromyography Open
The noninvasive estimation of muscle force from muscular activations is of particular interest for different clinical applications, such as prosthesis control and neurorehabilitation. Surface electromyography (sEMG) enables to measure the …
View article: A multi-task learning model using RR intervals and respiratory effort to assess sleep disordered breathing
A multi-task learning model using RR intervals and respiratory effort to assess sleep disordered breathing Open
View article: Quantitative validation of the suprasternal pressure signal to assess respiratory effort during sleep
Quantitative validation of the suprasternal pressure signal to assess respiratory effort during sleep Open
Objective. Intra-esophageal pressure (Pes) measurement is the recommended gold standard to quantify respiratory effort during sleep, but used to limited extent in clinical practice due to multiple practical drawbacks. Respiratory inductanc…
View article: Reply to Neurophysiological signatures of visual attention during absence seizures
Reply to Neurophysiological signatures of visual attention during absence seizures Open
View article: Decoding executed and imagined grasping movements from distributed non-motor brain areas using a Riemannian decoder
Decoding executed and imagined grasping movements from distributed non-motor brain areas using a Riemannian decoder Open
Using brain activity directly as input for assistive tool control can circumventmuscular dysfunction and increase functional independence for physically impaired people. The motor cortex is commonly targeted for recordings, while growing e…
View article: A multi-task learning model using RR intervals and respiratory effort to assess sleep disordered breathing
A multi-task learning model using RR intervals and respiratory effort to assess sleep disordered breathing Open
Background Sleep-disordered breathing (SDB) affects a significant portion of the population. As such, there is a need for accessible and affordable assessment methods for diagnosis but also case-finding and long-term follow-up. Research ha…
View article: Towards hippocampal navigation for brain–computer interfaces
Towards hippocampal navigation for brain–computer interfaces Open
Automatic wheelchairs directly controlled by brain activity could provide autonomy to severely paralyzed individuals. Current approaches mostly rely on non-invasive measures of brain activity and translate individual commands into wheelcha…
View article: A sleep stage estimation algorithm based on cardiorespiratory signals derived from a suprasternal pressure sensor
A sleep stage estimation algorithm based on cardiorespiratory signals derived from a suprasternal pressure sensor Open
Summary Automatic estimation of sleep structure is an important aspect in moving sleep monitoring from clinical laboratories to people's homes. However, the transition to more portable systems should not happen at the expense of important …
View article: Global motor dynamics - Invariant neural representations of motor behavior in distributed brain-wide recordings
Global motor dynamics - Invariant neural representations of motor behavior in distributed brain-wide recordings Open
Neural activity is presumed to be correlated with motor behavior almost everywhere in the brain, implying that many different brain processes are involved in generating a behavioral output. Recent studies in multiple non-human species have…
View article: The Use of Respiratory Effort Improves an ECG-Based Deep Learning Algorithm to Assess Sleep-Disordered Breathing
The Use of Respiratory Effort Improves an ECG-Based Deep Learning Algorithm to Assess Sleep-Disordered Breathing Open
Background: Sleep apnea is a prevalent sleep-disordered breathing (SDB) condition that affects a large population worldwide. Research has demonstrated the potential of using electrocardiographic (ECG) signals (heart rate and ECG-derived re…
View article: Decoding Arbitrary and Informed Decisions from Intracranial Recordings in Humans
Decoding Arbitrary and Informed Decisions from Intracranial Recordings in Humans Open
Ideally, decisions are made based on prior knowledge, which allows for informed choices. Real life, however, often requires us to make decisions arbitrarily, without sufficient information. Decoding decision making processes from neural ac…
View article: Neurophysiological signatures reflect differences in visual attention during absence seizures
Neurophysiological signatures reflect differences in visual attention during absence seizures Open
View article: Multimodal nocturnal seizure detection in children with epilepsy: A prospective, multicenter, long‐term, in‐home trial
Multimodal nocturnal seizure detection in children with epilepsy: A prospective, multicenter, long‐term, in‐home trial Open
Objective There is a pressing need for reliable automated seizure detection in epilepsy care. Performance evidence on ambulatory non‐electroencephalography‐based seizure detection devices is low, and evidence on their effect on caregiver's…
View article: Assessment of obstructive sleep apnea severity using audio-based snoring features
Assessment of obstructive sleep apnea severity using audio-based snoring features Open
View article: Contactless Camera-Based Sleep Staging: The HealthBed Study
Contactless Camera-Based Sleep Staging: The HealthBed Study Open
Polysomnography (PSG) remains the gold standard for sleep monitoring but is obtrusive in nature. Advances in camera sensor technology and data analysis techniques enable contactless monitoring of heart rate variability (HRV). In turn, this…
View article: Extraction of cardiac-related signals from a suprasternal pressure sensor during sleep
Extraction of cardiac-related signals from a suprasternal pressure sensor during sleep Open
Objective. The accurate detection of respiratory effort during polysomnography is a critical element in the diagnosis of sleep-disordered breathing conditions such as sleep apnea. Unfortunately, the sensors currently used to estimate respi…
View article: Clinical Utility of Eye Tracking in Assessing Distractibility in Children with Neurological Disorders or ADHD: A Cross-Sectional Study
Clinical Utility of Eye Tracking in Assessing Distractibility in Children with Neurological Disorders or ADHD: A Cross-Sectional Study Open
This study aims to investigate distractibility quantified by recording and analyzing eye movements during task-irrelevant distraction in children with and without ADHD and in children with and without neurological disorders. Gaze behavior …
View article: A Potential Multimodal Test for Clinical Assessment of Visual Attention in Neurological Disorders
A Potential Multimodal Test for Clinical Assessment of Visual Attention in Neurological Disorders Open
Attention is an important aspect of human brain function and often affected in neurological disorders. Objective assessment of attention may assist in patient care, both for diagnostics and prognostication. We present a compact test using …