ABSTRACT
Memory, one of the hallmarks of human cognition, can be modified when humans voluntarily modulate neural population activity using neurofeedback. However, it is currently unknown whether neurofeedback can influence the integration of memories, and whether memory is facilitated or impaired after such neural perturbation. In this study, participants memorized objects while we provided them with abstract neurofeedback based on their brain activity patterns in the ventral visual stream. This neurofeedback created an implicit face or house context in the brain while memorizing the objects. The results revealed that participants created associations between each memorized object and its implicit context solely due to the neurofeedback manipulation. Our findings shed light onto how memory formation can be influenced by synthetic memory tags with neurofeedback and advance our understanding of mnemonic processing.
Subject(s)
Magnetic Resonance Imaging , HumansABSTRACT
OBJECTIVE: Brain-Computer Interface (BCI) spellers that make use of code-modulated Visual Evoked Potentials (cVEP) may provide a fast and more accurate alternative to existing visual BCI spellers for patients with Amyotrophic Lateral Sclerosis (ALS). However, so far the cVEP speller has only been tested on healthy participants. METHODS: We assess the brain responses, BCI performance and user experience of the cVEP speller in 20 healthy participants and 10 ALS patients. All participants performed a cued and free spelling task, and a free selection of Yes/No answers. RESULTS: 27 out of 30 participants could perform the cued spelling task with an average accuracy of 79% for ALS patients, 88% for healthy older participants and 94% for healthy young participants. All 30 participants could answer Yes/No questions freely, with an average accuracy of around 90%. CONCLUSIONS: With ALS patients typing on average 10 characters per minute, the cVEP speller presented in this paper outperforms other visual BCI spellers. SIGNIFICANCE: These results support a general usability of cVEP signals for ALS patients, which may extend far beyond the tested speller to control e.g. an alarm, automatic door, or TV within a smart home.
Subject(s)
Amyotrophic Lateral Sclerosis/physiopathology , Amyotrophic Lateral Sclerosis/therapy , Brain-Computer Interfaces , Communication Aids for Disabled , Evoked Potentials, Visual/physiology , Fixation, Ocular/physiology , Adult , Aged , Electroencephalography/methods , Female , Humans , Male , Middle Aged , Young AdultABSTRACT
Brain-Computer Interfaces (BCIs) allow users to control devices and communicate by using brain activity only. BCIs based on broad-band visual stimulation can outperform BCIs using other stimulation paradigms. Visual stimulation with pseudo-random bit-sequences evokes specific Broad-Band Visually Evoked Potentials (BBVEPs) that can be reliably used in BCI for high-speed communication in speller applications. In this study, we report a novel paradigm for a BBVEP-based BCI that utilizes a generative framework to predict responses to broad-band stimulation sequences. In this study we designed a BBVEP-based BCI using modulated Gold codes to mark cells in a visual speller BCI. We defined a linear generative model that decomposes full responses into overlapping single-flash responses. These single-flash responses are used to predict responses to novel stimulation sequences, which in turn serve as templates for classification. The linear generative model explains on average 50% and up to 66% of the variance of responses to both seen and unseen sequences. In an online experiment, 12 participants tested a 6 × 6 matrix speller BCI. On average, an online accuracy of 86% was reached with trial lengths of 3.21 seconds. This corresponds to an Information Transfer Rate of 48 bits per minute (approximately 9 symbols per minute). This study indicates the potential to model and predict responses to broad-band stimulation. These predicted responses are proven to be well-suited as templates for a BBVEP-based BCI, thereby enabling communication and control by brain activity only.
Subject(s)
Brain-Computer Interfaces , Evoked Potentials, Visual , Adult , Female , Humans , Internet , Male , Photic Stimulation , Reproducibility of Results , Young AdultABSTRACT
Visual attention is used to selectively filter relevant information depending on current task demands and goals. Visual attention is called object-based attention when it is directed to coherent forms or objects in the visual field. This study used real-time functional magnetic resonance imaging for moment-to-moment decoding of attention to spatially overlapped objects belonging to two different object categories. First, a whole-brain classifier was trained on pictures of faces and places. Subjects then saw transparently overlapped pictures of a face and a place, and attended to only one of them while ignoring the other. The category of the attended object, face or place, was decoded on a scan-by-scan basis using the previously trained decoder. The decoder performed at 77.6% accuracy indicating that despite competing bottom-up sensory input, object-based visual attention biased neural patterns towards that of the attended object. Furthermore, a comparison between different classification approaches indicated that the representation of faces and places is distributed rather than focal. This implies that real-time decoding of object-based attention requires a multivariate decoding approach that can detect these distributed patterns of cortical activity.
Subject(s)
Attention/physiology , Brain Mapping/methods , Brain/physiology , Magnetic Resonance Imaging/methods , Pattern Recognition, Visual/physiology , Adult , Architecture , Cluster Analysis , Face , Female , Humans , Male , Multivariate Analysis , Photic Stimulation , Signal Processing, Computer-Assisted , Time Factors , Young AdultABSTRACT
The effects of vigabatrin, which increases GABA concentrations by inhibiting GABA transaminase, on spike and wave discharges (SWDs) in the electroencephalogram of WAG/Rij rats were studied. Vigabatrin increased the incidence and duration of the SWDs, suggesting a quantitative GABA(A)ergic involvement in the mechanism(s) underlying the starting and stopping of an ongoing SWD. Also, vigabatrin decreased the SWD peak frequency, suggesting an important role of GABA(B) in the mechanism(s) underlying the peak frequency of the SWDs. Vigabatrin gradually changed the course of the hazard rates of the SWD durations, suggesting a qualitative GABAergic role in the mechanism(s) underlying the stopping of an ongoing SWD.
Subject(s)
Anticonvulsants/pharmacology , Electroencephalography/drug effects , Vigabatrin/pharmacology , Action Potentials/drug effects , Action Potentials/physiology , Action Potentials/radiation effects , Animals , Animals, Genetically Modified , Confidence Intervals , Male , Rats , Time FactorsABSTRACT
The antiepileptic drug vigabatrin increases GABA concentrations by inhibiting GABA transaminase. The effects of vigabatrin on type II spike wave discharges (SWDs) in the electroencephalogram of ACI rats were studied in order to learn more about the effects of altering GABA concentration on SWDs. The incidence of type II SWDs increased after vigabatrin (60/h) as compared to saline treatment (3.7/h). This effect appeared with a halftime of 100 min. The duration of type II SWDs increased after vigabatrin (1.52 s) as compared to saline treatment (1.04 s), but the peak-frequency of the type II SWDs decreased after vigabatrin (5.6 Hz) as compared to saline treatment (7.5 Hz). Thus, vigabatrin alters the type II SWD morphology. These results are in agreement with predictions of Destexhe's theoretical model, modulating both GABA(A) and GABA(B) conductances.
