In a past talk I had the opportunity to listen to a talk from Dr. Joe Vukov discussing the ethical implications of using brain computer interfaces on individuals that suffer from binge eating disorders. The article discussed was Brain-Responsive Neurostimulation for Loss of Control Eating: Early Feasibility Study (Wu et al.). Binge eating disorders are referred to as loss of control (LOC) eating, participants in the study have not succeeded with alternative treatment plans. The study experimented with delivering an electrical signal to interrupt the frequency that triggers LOC eating. In theory this can prevent the patient from being triggered to binge eat before the signal even reaches that part of their brain. This study opened a greater discussion on the ethics of brain computer interfaces, specifically the consent and personal control aspect.
Yang and Jiang’s (2025) paper on Regulating neural data processing in the age of BCIs: Ethical concerns and legal approaches discusses the legal and ethical implications of brain computer interfaces (BCIs), and recommends legislative reform to protect patient privacy and rights. As proposed in Wu’s study, if BCIs counteract signals when they are detected preventing them from reaching neural pathways, do patients still retain bodily autonomy? Wu’s research entails the implantation of a RNS system into the brain with the target region being the Nucleus Accumbens. When the anticipation of eating is detected an electrical signal is automatically delivered to the target region, the purpose being to interrupt the urge to binge eat. There is a window of vulnerability where the physiological changes are detectable, this is when the intervention is most opportune (Wu et al., line 25). Through this device the neural activity associated with urges, cravings, and emotional responses can be recorded. Data obtained through BCIs are a pathway into the neural patterns correlated with mental states raising ethical concerns about mental autonomy. Individuals do not often control what they are thinking, BCIs have the opportunity to record mental urges before an individual is consciously aware of them. This presents concerns in relation to free will and self control as the interventions can occur before conscious thought. Before 2024 there was no legislation in place to protect the data that is obtained from BCIs (Yang and Jiang, line 30-32). BCI data differs from biometric and genetic data because it is obtained through your mind, meaning it can record neural patterns associated with bias, intentions, thoughts and emotions. This type of collection is considerably more invasive than external choices made online. After 2024 states like Colorado and California have brief legislation vaguely protecting neural data, but this can be improved significantly. Neural data touches the brain in the most private part of the mind, thoughts, beliefs, and convictions are beyond what can be constrained by external forces (Yang and Jiang, line 20). BCIs having the ability to prevent these processes threatens individuals' mental autonomy. Having access to and record of these thoughts has the potential to be used unethically.
Yang and Jiang’s article touches on the ethical implications of Wu’s research. Dr. Vukov presented similar concerns regarding patient protection when using BCIs. The use of BCIs for therapeutic treatment shows to be a promising technique, but the ethical implications must be considered. Legislation to protect patient rights should be advanced appropriately to prevent the misuse of data. The advancement of medical technology is important and should be utilized and in turn so should patient protections.
References:
Yang H, Jiang L. Regulating neural data processing in the age of BCIs: Ethical concerns and legal approaches. DIGITAL HEALTH. 2025;11. doi:10.1177/20552076251326123
Wu H, Adler S, Azagury DE, Bohon C, Safer DL, Barbosa DAN, Bhati MT, Williams NR, Dunn LB, Tass PA, Knutson BD, Yutsis M, Fraser A, Cunningham T, Richardson K, Skarpaas TL, Tcheng TK, Morrell MJ, Roberts LW, Malenka RC, Lock JD, Halpern CH. Brain-Responsive Neurostimulation for Loss of Control Eating: Early Feasibility Study. Neurosurgery. 2020 Nov 16;87(6):1277-1288. doi: 10.1093/neuros/nyaa300. PMID: 32717033; PMCID: PMC8599841.
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