Harnessing neural variability: Implications for brain research and non-invasive brain stimulation

Area of Science:

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• Neural variability was traditionally considered a hindrance to consistent experimental outcomes.
• Emerging evidence highlights neural variability and noise as crucial for neural system adaptability and robustness.

Purpose of the Study:

• To explore the essential role of neural variability and noise in brain function.
• To propose a framework for optimizing non-invasive brain stimulation (NIBS) by capturing individual neural states.
• To investigate the relationship between neural variability, excitability, plasticity, and homeostatic regulation.

Main Methods:

• Utilizing detailed brain activity recordings.
• Employing advanced analytical techniques to capture individual neural variability.
• Analyzing the interplay of neural variability with core neural processes.

Main Results:

• Neural variability and noise are integral to enhancing adaptability and robustness in neural systems.
• Individual neural variability can be accurately captured through advanced recording and analysis.
• A framework shift is proposed from minimizing to strategically leveraging neural variability.

Conclusions:

• Capturing individual neural variability is key to optimizing neurostimulation and neuromodulation protocols.
• Understanding neural variability offers new insights for both research and clinical applications in neuroscience.
• This approach redefines the role of neural variability from a detriment to a strategic asset.