Specificity of Eeg Photic Flicker Responses to Color as Related to Visual Imagery Ability

Brown, Barbara

doi:10.1111/j.1469-8986.1966.tb02643.x

Cited by 25 publications

(9 citation statements)

References 34 publications

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“…There have been mainly two types of methods for measuring colour emotion responses: semantic differential 1,8,9,[14][15][16][17]19,20,[25][26][27][28] and categorical judgement. [4][5][6][10][11][12][13]23,24 Psychophysiological scaling methods have also been used to collect biofeedback data, including measurement of skin conductance, [29][30][31] electroencephalogram, 29,[32][33][34][35] corrugator electromyography and heart rate. 25 Principal component analysis has been widely used for extraction of underlying factors of colour emotion scales.…”

Section: Studies Of Colour Emotionmentioning

confidence: 99%

Universal models of colour emotion and colour harmony

Yuan²,

Satô

et al. 2018

Color Research & Application

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A new set of quantitative models of colour emotion and colour harmony were developed in this study using psychophysical data collected from 12 regions in the world, and the UK. These data have previously been published in journals or conferences (for details see Tables 1 and 2). For colour emotion, three new models were derived, showing satisfactory predictive performance in terms of an average correlation coefficient of 0.78 for "warm/cool", 0.80 for "heavy/light" and 0.81 for "active/passive". The new colour harmony model also had satisfactory predictive performance, with an average correlation coefficient of 0.72. Principal component analysis shows that the common colour harmony principles, including hue similarity, chroma similarity, lightness difference and high lightness principles, were partly agreed by observers of the same region. The findings suggest that it is feasible to develop universal models of colour emotion and colour harmony, and that the former was found to be relatively more culture-independent than the latter. K E Y W O R D Scolour emotion, colour harmony, cross-cultural study, universal model

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Section: Studies Of Colour Emotionmentioning

confidence: 99%

Universal models of colour emotion and colour harmony

Yuan²,

Satô

et al. 2018

Color Research & Application

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“…In EEG techniques, suppression of alpha rhythm (EEG activity in a certain range of frequencies) is associated with increased brain activity. Many authors have found that visual imagery is accompanied by alpha rhythm attenuation over the visual areas of the brain (Barratt, 1956;Brown, 1966;Davidson & Schwartz, 1977;Golla, Hutton, & Gray Walter, 1943;Short, 1953;Slatter, 1960). Unfortunately, a methodological flaw in most of these studies is the lack of control for the degree of overall mental effort involved in the visual imagery and comparison conditions.…”

Section: Common Neural Substrates For Imagery and Perceptionmentioning

confidence: 99%

Is visual imagery really visual? Overlooked evidence from neuropsychology.

Farah¹

1988

Psychological Review

420

205

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Does visual imagery engage some of the same representations used in visual perception? The evidence collected by cognitive psychologists in support of this claim has been challenged by three types of alternative explanation: Tacit knowledge, according to which subjects use nonvisual representations to simulate the use of visual representations during imagery tasks, guided by their tacit knowledge of their visual systems; experimenter expectancy, according to which the data implicating shared representations for imagery and perception is an artifact of experimenter expectancies; and nonvisual spatial representation, according to which imagery representations are partially similar to visual representations in the way they code spatial relations but are not visual representations. This article reviews previously overlooked neuropsychological evidence on the relation between imagery and perception, and discusses its relative immunity to the foregoing alternative explanations. This evidence includes electrophysiological and cerebral blood flow studies localizing brain activity during imagery to cortical visual areas, and parallels between the selective effects of brain damage on visual perception and imagery. Because these findings cannot be accounted for in the same way as traditional cognitive data using the alternative explanations listed earlier, they can play a decisive role in answering the title question.The question of whether visual imagery is really visual, that is, whether it involves some of the same representations of stimuli normally engaged by the perception of those stimuli, has been the subject of a long-standing debate in cognitive psychology. This article reviews a set of empirical findings from neuropsychology that are directly relevant to this debate. I will argue that this generally overlooked source of data can play an important role in determining the relation between imagery and perception, because it is immune to many of the criticisms and alternative explanations that have plagued the cognitive psychology approach to this topic.One side of the debate maintains that imaging consists of the top-down activation of perceptual representations, that is, representations that are also activated automatically by an external stimulus during perception.

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“…A number of early studies investigating the relationship between EEG and visual imagery are based on this assumption and all observed a decrease in alpha over the occipital areas of the cortex (Barratt, 1956;Brown, 1966;Golla, Hutton & Walter, 1943;Short, 1953;Slatter, 1960;Walter & Yeager, 1956). However, other studies have failed to observe this phenomenon (Dreyer, 1955(Dreyer, ,1958Oswald, 1957;Mundy-Castle, 1957).…”

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confidence: 99%

Psychophysiological correlates of dynamic imagery

Williams

Rippon

Stone³

et al. 1995

British J of Psychology

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Brain Electrical Activity Maps were recorded from 20 subjects whilst performing: (a) the Vandenberg & Kuse Mental Rotation Test (MRT) and: (b) the Isaac, Marks & Russell Vividness of Movement Imagery Questionnaire (VMIQ), and under control conditions. Subjects were classified as good or poor imagers, first on the basis of their VMIQ scores, and secondly on their MRT scores. Alpha, beta 1 and beta 2 at different cortical regions were compared between groups and between task performance and control conditions. During MRT significant reductions in alpha amplitude were found over both right and left parietal areas and over the left frontal region. In beta 1 non‐significant trends in the same direction were observed in the same regions found to be significant in alpha. Non‐significant trends in beta 2 were observed over the right parietal and frontal regions. No differences in amplitude at any frequency band were found between good and poor VMIQ scorers but subjects with high MRT scores showed greater alpha amplitude at many sites in the parietal, parieto‐occipital and frontal areas than subjects with low MRT scores. During VMIQ testing the VMIQ high imagers showed a non‐significant trend towards higher alpha amplitude at frontal regions and some scattered parietal and occipital sites and significantly higher levels of beta 2 in the left frontal region. However, no differences were found between imagery and control conditions. The results confirm the involvement of motor as well as spatial processes in dynamic imagery.

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Specificity of Eeg Photic Flicker Responses to Color as Related to Visual Imagery Ability

Cited by 25 publications

References 34 publications

Universal models of colour emotion and colour harmony

Universal models of colour emotion and colour harmony

Is visual imagery really visual? Overlooked evidence from neuropsychology.

Psychophysiological correlates of dynamic imagery

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