A key barrier to effective PD treatment is the slow, inconsistent patient recruitment process for clinical trials, especially ...

We will look at EEG data to track neural responses as exercise intensity changes ... Moreover, by focusing on the weighted vector of EEG data computing by multiplying EEG by the weights of MCCA, we ...

Legal obligations will likely vary significantly by state, sector and use case. Audit technologies for neural data collection or inference, including emotion recognition and mental state prediction.

Neurotech companies have access to some of users’ most sensitive data — and few regulations on what they can do with it. Neurotech companies have access to some of users’ most ...

Minder has been developed to address the shortcomings in current electroencephalogram (EEG) technologies, providing reliable and actionable diagnostic data for more patients and therefore better ...

The data underscore the potential of VTx-001 to neutralize upstream pathological drivers in amyotrophic lateral sclerosis (ALS), including oxidized phosphatidylcholines (PC-OxPL), which have been ...

Abstract: Brain–computer interfaces (BCIs) rely on accurately decoding electroencephalography (EEG) motor imagery (MI) signals for effective device control. Graph neural networks (GNNs ... the ...