EEG as a marker of brain plasticity in clinical applications

Handb Clin Neurol. 2022:184:91-104. doi: 10.1016/B978-0-12-819410-2.00029-1.

Abstract

Neural networks are dynamic, and the brain has the capacity to reorganize itself. This capacity is named neuroplasticity and is fundamental for many processes ranging from learning and adaptation to new environments to the response to brain injuries. Measures of brain plasticity involve several techniques, including neuroimaging and neurophysiology. Electroencephalography, often used together with other techniques, is a common tool for prognostic and diagnostic purposes, and cortical reorganization is reflected by EEG measurements. Changes of power bands in different cortical areas occur with fatigue and in response to training stimuli leading to learning processes. Sleep has a fundamental role in brain plasticity, restoring EEG bands alterations and promoting consolidation of learning. Exercise and physical inactivity have been extensively studied as both strongly impact brain plasticity. Indeed, EEG studies showed the importance of the physical activity to promote learning and the effects of inactivity or microgravity on cortical reorganization to cope with absent or altered sensorimotor stimuli. Finally, this chapter will describe some of the EEG changes as markers of neural plasticity in neurologic conditions, focusing on cerebrovascular and neurodegenerative diseases. In conclusion, neuroplasticity is the fundamental mechanism necessary to ensure adaptation to new stimuli and situations, as part of the dynamicity of life.

Keywords: Electroencephalogram; Functional magnetic resonance imaging; High-density EEG; Plasticity; Slow-wave activity; Transcranial magnetic stimulation.

Publication types

  • Review

MeSH terms

  • Brain
  • Electroencephalography*
  • Humans
  • Neuroimaging
  • Neuronal Plasticity*
  • Sleep