Skip to search formSkip to main contentSkip to account menu
  • Publications
  • Influence
First results from five multidisciplinary diagnostic centre (MDC) projects for non-specific but concerning symptoms, possibly indicative of cancer
TLDR
The MDC model diagnoses cancer in patients with non-specific symptoms, with a conversion rate of 8%, demonstrating the diagnostic potential of a non-site-specific symptomatic referral pathway.
View on Springer
Case series: Slowing alpha rhythm in late-stage ALS patients
View on Elsevier
Task-induced frequency modulation features for brain-computer interfacing
TLDR
This work compares cross-validated classification accuracies using the amplitude and frequency modulated features, as well as a joint feature space, across subjects in various paradigms and pre-processing conditions, and finds that task-induced frequency modulation is robust and straight forward to compute, and increases performance when added to standard amplitude modulation features across paradigm.
View on IOP Publishing
Brain-computer interfacing in amyotrophic lateral sclerosis: Implications of a resting-state EEG analysis
TLDR
An ALS-specific global increase in gamma power (30-90 Hz) that is not specific to the motor cortex is found, suggesting that the mechanism behind ALS affects non-motor cortical regions even in the absence of comorbid cognitive deficits.
View on IEEE
MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware
TLDR
This work introduces MYND: An open-source framework that couples consumer-grade recording hardware with an easy-to-use application for the unsupervised evaluation of BCI control strategies and uses a four-channel electroencephalogram (EEG) with MYND as a use case.
View on ACM
Identification of the Default Mode Network with electroencephalography
TLDR
It is shown that the Default Mode Network can also be identified by electroencephalography (EEG), and instructing subjects to alternate between self-referential memory recall and focusing on their breathing induces a spatial pattern of spectral band power modulation that is consistent with the DMN pattern observed with PET and fMRI.
View on IEEE
A cognitive brain-computer interface for patients with amyotrophic lateral sclerosis.
View on PubMed
A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis
TLDR
A new paradigm that targets higher level cognitive processes to transmit information from the user to the BCI is devised that could serve as a basis for a novel tool which allows for simple, reliable communication with patients in late stages of ALS.
View on IEEE
Workshops of the Seventh International Brain-Computer Interface Meeting: Not Getting Lost in Translation.
TLDR
This paper summarizes each workshop at the BCI Meeting, providing an overview of the topic of discussion, references for additional information, and identifying future issues for research and development that resulted from the interactions and discussion at the workshop.
View on PubMed
MYND: A Platform for Large-scale Neuroscientific Studies
We present a smartphone application for at-home participation in large-scale neuroscientific studies. Our goal is to establish user-experience design as a paradigm in basic neuroscientific research…
View on ACM
...
...
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License