PubMed Health⌕ Search

Biomedical subjects

A Smallbone

Publications and source records attributed to A Smallbone.

7 recordsLinked to original sources

Short-term recall of nine-digit strings and the EEG.

In three exploratory studies, EEG changes were monitored while subjects performed a nine-digit recall task. Experiment 1 involved auditory presentation without practice or prior instruction. EEG characteristics measured before the task related to subsequent recall, EEG activation increased progressively during digit presentation and rehearsal, and several between- and within-subject analyses showed increased activation to be associated with poor recall performance. In Expt. 2 the digits were presented visually and subjects were given instruction and practice in an efficient rehearsal strategy. Recall performance improved but its relationship with the pre-task EEG disappeared. Activation increased with digit presentation but the relationship between the EEG and performance was complex since a within-subject analysis associated decreased activation with better performance (as in Expt. 1) while this relationship was reversed in a between-subject analysis. The results are explained both in terms of traditional findings relating activation to recall, and drive theory accounts of learning and performance. Finally, Expt. 3 demonstrated that performance was better, both in the morning (compared with the evening) and on a second testing session. There were complex time of day effects for the EEG, with lower and higher measured frequencies yielding higher voltage output in the evening and intermediate frequencies showing a reverse effect. In summarizing the data from the three experiments it is suggested that different EEG frequencies are differentially sensitive to different conditions (task specific factors, stimulus input characteristics, knowledge of success and failure, degree of task mastery and circadian variation).

Arousal↗

Changes in the EEG as the subject learns to recall.

The EEG was monitored from posterior leads located above the left and right hemispheres, while the subject learned to recall visually presented 9-digit strings. Processing of material to be recalled led to systematic and progressive activation of the left hemisphere together with an increasing ratio in the EEG activity of the two hemispheres. As performance improved with practice, the initial activation (during the first six digits) was followed by deactivation just prior to recall. This is interpreted as reflecting a shift from active processing (rehearsal) to passive processing (echoic buffer storage). Subjects who recalled well more activated in the left hemisphere than in the right and the level of EEG activity in the left hemisphere during early trials predicted overall recall performance throughout the task. Activity in the right hemisphere was unresponsive to the presentation of material and unrelated to performance. This study shows therefore that: (i) rehearsal for short term recall is a function of left hemisphere activity, (ii) individual differences in left hemisphere activity predict performance, and finally (iii) dynamic changes in brain organisation accompany an overall improvement in performance.

Brain↗

EEG correlates of eye contact and interpersonal distance.

The EEG of 18 male subjects was monitored while the subject gazed at the eyes of a male experimenter located 2, 4, 8, 16 or 32 ft from the subject. The experimenter either gazed directly at the subject or averted his eyes. EEG arousal was highest when the experimenter was at 2 ft and gazing into the subject's eyes. EEG arousal diminished as a function of distance, while arousal for direct gaze was always higher than for averted gaze, whatever the distance.

Adolescent↗

Stimulus complexity, EEG abundance gradients, and detection efficiency in a visual recognition task.

Occipital EEG was monitored while subjects inspected 27 projected patterns. The number (N) and variety (V) of elements in the patterns were varied systematically. There were three levels of N (6, 12 or 24 elements) and three levels of V (circles, squares or hexagons occupying all, one half or one third of the element locations for all levels of N). Subjects were instructed that they would be required in a post-test to recognize the patterns, among patterns which had not appeared; they were also informed that the patterns had been constructed according to a set of simple rules, but the nature of these rules was not made fully explicit. The EEG was quantified by means of low-frequency analysis, yielding measures of abundance (theta, alpha and beta) and mean dominant frequency. For the recognition task, nine stimulus items were embedded among 45 items. Recognition efficiency was measured by means of the signal detection theory discrimination index (d'). The results were as follows: (i) Both N and V were inversely related to alpha abundance (P less than 0-01); (ii) the strongest relationship between stimulus parameters and the EEG held for N and EEG beta activity (13-5-19-5 Hz;P less than 0-001), where again the EEG and N were inversely related; (iii) there was a significant (P less than 0-05) direct relationship between N and theta activity; (iv) contrary to prediction, mean dominant alpha frequency decreased as N increased; (v) d' correlated significantly with a number of effects for N, i.e. subjects who exhibited greatest EEG discriminability of items during exposure of the patterns, subsequently obtained the higher detection scores in the recognition task. The work described therefore demonstrates that only only do stimulus parameters have systematic effects upon brain activity as measured by the EEG, but that such effects have functional value and reflect aspects of efficiency. The results are fully compatible with arousal theory constructs relating physiological reactivity and performance.

Adolescent↗