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Travis H Turner

Publications and source records attributed to Travis H Turner.

3 recordsLinked to original sources

The pointillism method for creating stimuli suitable for use in computer-based visual contrast sensitivity testing.

An increasingly large corpus of clinical and experimental neuropsychological research has demonstrated the utility of measuring visual contrast sensitivity. Unfortunately, existing means of measuring contrast sensitivity can be prohibitively expensive, difficult to standardize, or lack reliability. Additionally, most existing tests do not allow full control over important characteristics, such as off-angle rotations, waveform, contrast, and spatial frequency. Ideally, researchers could manipulate characteristics and display stimuli in a computerized task designed to meet experimental needs. Thus far, 256-bit color limitation in standard cathode ray tube (CRT) monitors has been preclusive. To this end, the pointillism method (PM) was developed. Using MATLAB software, stimuli are created based on both mathematical and stochastic components, such that differences in regional luminance values of the gradient field closely approximate the desired contrast. This paper describes the method and examines its performance in sine and square-wave image sets from a range of contrast values. Results suggest the utility of the method for most experimental applications. Weaknesses in the current version, the need for validation and reliability studies, and considerations regarding applications are discussed. Syntax for the program is provided in an appendix, and a version of the program independent of MATLAB is available from the author.

Computer Graphics↗

Recognition of facial emotions in neuropsychiatric disorders.

Recognition of facial emotions represents an important aspect of interpersonal communication and is governed by select neural substrates. We present data on emotion recognition in healthy young adults utilizing a novel set of color photographs of evoked universal emotions. In addition, we review the recent literature on emotion recognition in psychiatric and neurologic disorders, and studies that compare different disorders.

Affect↗

Facial emotion recognition in schizophrenia: intensity effects and error pattern.

OBJECTIVE: The authors used color photographs of emotional and neutral expressions to investigate recognition patterns of five universal emotions in schizophrenia. METHOD: Twenty-eight stable outpatients with schizophrenia (19 men and nine women) and 61 healthy subjects (29 men and 32 women) completed an emotion discrimination test that presented mild and extreme intensities of happy, sad, angry, fearful, disgusted, and neutral faces, balanced for gender and ethnicity. Analyses evaluated accuracy of identifying emotions as a function of intensity, diagnosis, and gender of poser and rater. RESULTS: Patients performed worse than comparison subjects on recognition of all emotions and neutral faces combined, including mild and extreme expressions. For specific emotions, patients performed worse on recognition of fearful, disgusted, and neutral expressions. For all emotions except disgust, recognition of extreme intensity was better than recognition of mild intensity. However, patients showed less benefit from increased intensity for all emotions combined, and the difference was most pronounced for fear. Thus, patients were more impaired than healthy comparison subjects in identifying high-intensity expressions, even though this was an easier task than identifying low-intensity expressions. In the comparison of patterns of errors, patients and healthy subjects differed only in misattributions of neutral expressions; patients overattributed disgusted expressions and underattributed happy expressions. CONCLUSIONS: Patients with schizophrenia were impaired in overall emotion recognition, particularly fear and disgust, and did not benefit from increased emotional intensity. Error patterns indicate that patients misidentified neutral cues as negatively valenced.

Adult↗