Understanding the behavioural consequences of noninvasive brain stimulation

Area of Science:

• Neuroscience
• Computational Neuroscience
• Cognitive Science

Background:

• Transcranial electrical stimulation (tES) is increasingly used for cognitive enhancement and treating neuropsychiatric disorders.
• Despite widespread application, there is a lack of detailed mechanistic models explaining how tES induces behavioral changes.
• Current understanding of tES effects is limited by a gap between neural and behavioral outcomes.

Purpose of the Study:

• To critically evaluate common assumptions and interpretations regarding tES.
• To propose a framework for bridging the gap between neural and behavioral effects of tES.
• To advocate for integrated approaches combining computational modeling and empirical assays for rational tES application.

Main Methods:

• Review and critique of existing tES research and assumptions.
• Discussion of the need for computational neurostimulation models.
• Emphasis on integrating physiological and behavioral assays with computational approaches.

Main Results:

• Identified a paucity of mechanistically detailed models for tES-induced behavioral change.
• Challenged the plausibility of several prevalent assumptions and interpretations of tES.
• Highlighted the need for a more integrated approach to tES research.

Conclusions:

• Rational application of tES requires integration with computational neurostimulation and robust physiological/behavioral assays.
• Developing mechanistic models is crucial for understanding tES limitations and predicting its behavioral effects.
• Bridging the gap between neural and behavioral consequences of tES is essential for advancing the field.