Mind Control as a Guide for the Mind

TL;DR

This paper explores the potential of network control theory as a framework for understanding and guiding interventions in brain networks to treat cognitive deficits and enhance mental abilities, emphasizing future research and ethical considerations.

Contribution

It introduces the application of network control theory to neuroimaging data, linking it to mind control and proposing a new theoretical approach for brain modulation.

Findings

Network control theory relates to mind control and brain modulation.

Framework clarifies neuroanatomy, cognition, and control engineering connections.

Highlights future research directions and ethical considerations.

Abstract

The human brain is a complex network that supports mental function. The nascent field of network neuroscience applies tools from mathematics to neuroimaging data in the hopes of shedding light on cognitive function. A critical question arising from these empirical studies is how to modulate a human brain network to treat cognitive deficits or enhance mental abilities. While historically a number of tools have been employed to modulate mental states (such as cognitive behavioral therapy and brain stimulation), theoretical frameworks to guide these interventions - and to optimize them for clinical use - are fundamentally lacking. One promising and as-yet underexplored approach lies in a sub-discipline of engineering known as network control theory. Here, we posit that network control fundamentally relates to mind control, and that this relationship highlights important areas for future empirical research and opportunities to translate knowledge in practical domains. We clarify the conceptual intersection between neuroanatomy, cognition, and control engineering in the context of network neuroscience. Finally, we discuss the challenges, ethics, and promises of mind control.