The attempt to alter electroencephalographic (EEG) frequency/amplitude patterns and their underlying brain mechanisms using contingent operant conditioning methods is today referred to variously as EEG biofeedback, neurofeedback, or neurotherapy. This article traces the history of the clinical application of EEG operant conditioning from empirical animal investigations to its emergence as a treatment option for major seizure types. In light of the diversity of the clinical applications of this method in general, and the complexity of seizure disorders in particular, I also present an overview of specific methods used in our EEG biofeedback program.
INITIAL APPLICATION IN HUMANS
From Sterman MB, “Effects of sensorimotor EEG feedback training on sleep and clinical manifestations of epilepsy.” In: Beatty J, et al, eds. Biofeedback and Behavior; 1977:176 (fig. 7). © 1977 Plenum Press. Permission of Springer Science+Business Media. Figure 1. A carefully documented 6-year seizure data log from an adult female subject (aged 23 years at the start of the log) with nocturnal tonic-clonic seizures, often with incontinence.2 The log starts 1 year before initiation of electroencephalographic (EEG) feedback training (“Pre-SMR”), continues through 2.5 years of twice-weekly EEG training sessions (“Post-SMR”), and continues through 2.5 years after wi thdrawal from this training (“Withdrawal”). Training consisted of auditory and visual reward for increased 12- to 15-Hz EEG activity over the left sensorimotor cortex, which has been labeled the sensorimotor rhythm (SMR). Medications were held constant during training and adjusted downward after withdrawal from training. In 1977 this patient was issued a California driver’s license.
BACKDROP TO THE CLINICAL APPLICATION: KEY ANIMAL STUDIES
Figure reprinted from Sterman et al (Science 1970; 167:1146–1148).3 Figure 2. Bipolar electroencephalographic (EEG) samples from sensorimotor and parietal cortex in the cat during quiet (motionless) wakefulness (left) and quiet (non-REM) sleep (right). Both states are associated with bursts of 12- to 15-Hz EEG rhythmic activity in sensorimotor cortex. During sleep these bursts are higher in amplitude and associated with slower rhythmic patterns in parietal cortex.
To accomplish this, we attempted to facilitate the SMR during wakefulness using an operant conditioning paradigm with a liquid food reward, and then study any resulting changes in sleep spindle activity and sleep structure. Necessary quality controls included alternate training to suppress this rhythm and a counterbalanced design employing two separate groups of cats. Six weeks of three training sessions per week to satiation led to profound and differential changes in sleep EEG and sleep architecture. SMR training, whether it preceded or followed suppression training, led to a significant increase in EEG sleep spindle density, as well as a significant reduction in sleep period fragmentation due to arousals. No changes occurred in the control condition.3
A more profound finding in the cat
Figure modified from Sterman.5 Figure 3. The sequence of prodromal events preceding generalized convulsions in two groups of 10 cats, all of which were injected intra-abdominally with 9 mg/kg of GABA-depleting monomethyl hydrazine. One group (dashed tracing) had received 6 weeks of electroencephalographic feedback training for sensorimotor rhythm (SMR) enhancement with food reward (see text). The two groups did not differ statistically in the latency to prodromal symptoms. All control animals seized reliably at approximately 60 minutes, as had been previously documented. In contrast, the SMR-trained group had a significantly prolonged mean latency to seizures (130 minutes), and several did not seize within the 4-hour test period.