Table 1.

Summary of studies indicating the significant relationship between personal factors and neurofeedback performance

	Personal Factor	EEG Trained Sub-Band	Study Population	Study
Psychological / Neuropsychological	Measures of attention and memory span	Slow cortical potentials	Epilepsy patients	Daum et al. (1993)
	Locus of control with regard to technology	Sensorimotor rhythm	Healthy subjects	Burde & Blankertz (2006)
	Intelligence quotient	Slow cortical potentials	Amyotrophic lateral sclerosis patients	Drechsler et al. (2007)
	Motivational factors	P300 / Sensorimotor rhythm	Amyotrophic lateral sclerosis patients	Nijboer et al. (2010)
	Clinical, personality, and performance tests	Sensorimotor rhythm	Healthy subjects	Hammer et al. (2012)
	Locus of control with regard to technology	Sensorimotor rhythm	Healthy subjects	Witte et al. (2013)
Neuroanatomical	Gray and white morphology of the midcingulate cortex	Theta	Healthy subjects	Enriquez-Geppert et al. (2013)
	Structural integrity and myelination quality of deep white matter structures	Sensorimotor rhythm	Healthy subjects	Halder et al. (2013)
	Gray and white matter volumes	Sensorimotor rhythm/Gamma	Healthy subjects	Ninaus et al. (2015)
Neurophysiological	Sensorimotor rhythm amplitude under “relax with eyes open”	Sensorimotor rhythm	Healthy subjects	Blankertz et al. (2010)
	Low beta amplitude at eyes-open rest / Beta-1 amplitude in the first 4.5-min training block	Beta/Theta ratio	Healthy subjects	Nan et al. (2015)
	Alpha amplitude at rest	Alpha	Healthy subjects	Wan et al. (2014)
Neurofeedback early performance	Initial performance in Slow cortical potentials self-regulation	Slow cortical potentials	Amyotrophic lateral sclerosis patients	Neumann & Birbaumer (2003)
	Slow cortical potentials self-control in the training session 3	Slow cortical potentials	Amyotrophic lateral sclerosis patients / healthy subjects	Kübler et al. (2004)
	Sensorimotor rhythm self-control in the training session 9	Sensorimotor rhythm	Healthy subjects	Weber et al. (2011)