NSCI 301: blockchain

trust problem

• who can modify hospital records?

• who controls implant firmware updates?

• who owns consumer/medical neurotechnology data?

• what if a company providing medical services shuts down?

centralized trust systems

• a structure in which a single authority or governing entity

  • manages records/controls data

  • verifies info/determines what’s valid

  • control access/unilaterally enforces rules

  • requires users/participants to rely on the institution’s integrity and competence

blockchain

• distribute verification and control across a network, reducing reliance on any single authority to validate info, safeguard records, govern system operations

• basically trust ourselves instead

smart contract

• piece of computer code that automatically carries out agreed-upon rules when specific conditions are met

  • does not need person to enforce it

potential future scenarios that need smart contracts

• dynamic consent for neural data research

• multi-party approval for implant updates: BCIs and DBS

• controlled access to sensitive neuro-legal evidence

dynamic consent for neural data research

• participant shares EEG or implant data for a depressions study

• SC:

  • access automatically expires after 12 months

  • data cannot be reused for new studies without re-approval

  • participant can revoke access instantly

• relevance to neuroethics:

  • reduces risk of secondary data misuse

  • protects autonomy

  • moves beyond one-time static consent

multi-party approval for implant updates: BCIs and DBS

• a BCI or DBS device requires firmware or stimulation updates

• SC:

  • update only activates if patient, clinician, and oversight body approve

  • automatic logging of who approved and when

  • prevents unilateral manufacturer control

• relevance to neuroethics:

  • prevents coercive or unsafe remote changes

  • preserves agency

  • distributes power over neural intervention

controlled access to sensitive neuro-legal evidence

• fMRI or neural risk assessments used in court

• SC:

  • evidence access requires judicial authorization

  • viewing history automatically logged

  • data cannot be altered after submission

• relevance to neuroethics:

  • prevents potential tampering

  • protects due process

  • ensures accountability in neurolaw contexts

public blockchain

• anyone can participate

• anyone can verify

• no central owner

• fully decentralized

private blockchain

• controlled by institutions

• only approved participants

• access restricted

• more centralized governance

public blockchain pros

• greater transparency

• harder to manipulate records

• less institutional power

public blockchain cons

• privacy complexity

• scalability issues

• governance diffusion

private blockchains pros

• regulatory control

• faster performance

• clear accountability

• HIPAA compliance - protect patients

private blockchains cons

• concentrated power

• patients may lack governance voice

• could recreate centralized trust problems

brain data

• reveal intention

• predict relapse

• infer impulsivity

• suggest political or emotional tendencies

• used for neuromarketing

• alter cognition when intervened upon

proper management and access to neural data requires unique challenges for

• cognitive liberty

• autonomy

• justice

• identity continuity

• consent capacity

• accountability

current neural data landscape

• stored in institutional databases

• companies, hospitals, large research groups control it

• consent governed by internal policy

• not portable

• access, interpretation of neural data, algorithmic decision-making, commercialization of cognitive insights (ppl selling their own neural data) are centralized

current neural data landscape risks

• single point of failure - security breaches

• limited transparency

• restricted patient control

• difficult consent revocation

blockchain in healthcare

• hybrid governance (public and private)

• governance of brain data is not solely technical — it’s a question of power

• used to verify data integrity and not to store data itself

where blockchain is being used in healthcare

• consent management pilots

• time-stamping research data for integrity

• pharmaceutical supply chain tracking

• clinical trial audit trails

• interoperability logging

importance of blockchain in healthcare

• privacy protection

• scalability and feasibility

• regulatory compliance

• separation of integrity vs. storage

what’s not working

• regulatory complexity (HIPAA/GDPR)

• governance ambiguity - no one wants to take accountability for data costs

• complexity in hospital integration

• illusion of decentralization