Object Recognition in Mental Representations: Directions for Exploring Diagnostic Features through Visual Mental Imagery

Roldan, Stephanie M.

doi:10.3389/fpsyg.2017.00833

Cited by 21 publications

(18 citation statements)

References 108 publications

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“…Hence, this study has shown that the Spanish versions of the Psi-Q are an adequate measure for evaluating different sensorial modalities of imagery vividness and are valuable tools for the understanding of imagery as a psychological process or as a variable influencing other processes (Kharlas and Frewen, 2016;Denis and Poerio, 2017;Roldan, 2017;López-Pérez et al, 2018;Renner et al, 2019). The main limitation of this study was gender differences in the sample; notwithstanding, as the study was not designed to examine gender differences in this variable, this did not compromise the general objective of the study.…”

Section: Discussionmentioning

confidence: 97%

“…The ongoing research in mental imagery highlights the need to design general measures of imagery vividness that include different sensorial modalities such as the Psi-Q. The review of applied research methods in mental imagery by Roldan (2017) has shown that the Psi-Q was a reliable, valid, and adequate measure for the study of mental imagery and as a first approximation to the analysis of other processes such as perception.…”

Section: Introductionmentioning

confidence: 99%

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Spanish Version of the Plymouth Sensory Imagery Questionnaire

Pérez-Fabello

Campos

2020

Front. Psychol.

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Objective: The current interest in mental imagery in fields such as sport and physical training, health, education, underscore the need for designing general measures of imagery vividness that include different sensorial modalities such as the Plymouth Sensory Imagery Questionnaire (Psi-Q; Andrade et al., 2014). The Psi-Q measures imagery vividness in seven sensorial modalities with a factorial structure of seven factors corresponding to the sensorial modalities, and has good internal consistency. The aim of the present study was to translate the Psi-Q into Spanish and to assess its psychometric properties. Methods: The questionnaire was back-translated, and administered to 394 fine arts undergraduates. Moreover, this test was compared to other questionnaires measuring different types de imagery. Results: A confirmatory factor analysis found that the Psi-Q had seven factors (vision, sound, smell, taste, touch, bodily sensation, and emotional feeling) with results similar to the original test. Values suggested a better fit for the model of the short version. The internal consistency values were 0.93 for the long and 0.89 for the short test. The Psi-Q subscales correlated significantly (p < 0.01) with the total of the Betts' QMI subscales, and the VVIQ, with the highest significance observed between the Psi-Q Touch and Betts' QMI Cutaneous (r = −0.57), and between the Psi-Q Olfactory and Betts' QMI Smell (r = −0.56). Owing to its novelty, the high correlation and significance (p < 0.01) between Psi-Q Vision and the OSIVQ Object (r = 0.36) is worth noting. Conclusion: The Spanish version of the Psi-Q was an adequate measure for evaluating different sensorial modalities of imagery vividness, and exhibited similar psychometric properties to those of the original version. The growing interest in mental imagery in different fields of application justifies the need for adapting the Psi-Q for the Spanish speaking population. This questionnaire is a valuable tool for the understanding of imagery as a psychological process, and as a variable influencing other processes.

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Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Spanish Version of the Plymouth Sensory Imagery Questionnaire

Pérez-Fabello

Campos

2020

Front. Psychol.

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“…That could probably be attributed to one of the scenarios (VVIQ3 < 0.001) skewing the total. We have insufficient data to interpret this, but until further evidence our hesitant (since this is an established tool [60]) suggestion would be to either to use a different research tool to measure imagery capacity or to omit the 3rd scenario of the VVIQ in the context of BCI controlled robotic arm experiments.…”

Section: User Perception and Performance Assessment Our Resultsmentioning

confidence: 98%

Wireless Brain-Robot Interface: User Perception and Performance Assessment of Spinal Cord Injury Patients

Athanasiou

Arfaras

Pandria

et al. 2017

Wireless Communications and Mobile Computing

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Patients suffering from life-changing disability due to Spinal Cord Injury (SCI) increasingly benefit from assistive robotics technology. The field of brain-computer interfaces (BCIs) has started to develop mature assistive applications for those patients. Nonetheless, noninvasive BCIs still lack accurate control of external devices along several degrees of freedom (DoFs). Unobtrusiveness, portability, and simplicity should not be sacrificed in favor of complex performance and user acceptance should be a key aim among future technological directions. In our study 10 subjects with SCI (one complete) and 10 healthy controls were recruited. In a single session they operated two anthropomorphic 8-DoF robotic arms via wireless commercial BCI, using kinesthetic motor imagery to perform 32 different upper extremity movements. Training skill and BCI control performance were analyzed with regard to demographics, neurological condition, independence, imagery capacity, psychometric evaluation, and user perception. Healthy controls, SCI subgroup with positive neurological outcome, and SCI subgroup with cervical injuries performed better in BCI control. User perception of the robot did not differ between SCI and healthy groups. SCI subgroup with negative outcome rated Anthropomorphism higher. Multi-DoF robotics control is possible by patients through commercial wireless BCI. Multiple sessions and tailored BCI algorithms are needed to improve performance.

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“…The brain and eye analyze the visual perception of brightness, movement, shape, and color of objects [1,2] even the mental imagery of motion and static visual features [3,4]. The three basic color receptors of blue, green, and red have their own photo pigments that react to light to evoke receptor potentials in the visual pathway.…”

Section: Introductionmentioning

confidence: 99%

Neural activation patterns and connectivity in visual attention during Number and Non-number processing: An ERP study using the Ishihara pseudoisochromatic plates

2018

J. Integr. Neurosci.

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Visual cognitive function is important in the construction of executive function in daily life. Perception of visual number form (e.g. Arabic digits) and numerosity (numeric magnitude) is of interest to cognitive neuroscientists. Neural correlates and the functional measurement of number representations are complex events when their semantic categories are assimilated together with concepts of shape and color. Color perception can be processed further to modulate visual cognition. The Ishihara pseudoisochromatic plates are one of the best and most common screening tools for basic red-green color vision testing. However, there has been little study of visual cognitive function assessment using such pseudoisochromatic plates. 25 healthy normal trichromat volunteers were recruited and studied using a 128-sensor net to record event-related electroencephalogram.Subjects were asked to respond by pressing numbered buttons when they saw the number and non-number plates of the Ishihara color vision test. Amplitudes and latencies of N100 and P300 event related potential components were analyzed from 19 electrode sites in the international 10-20 system. A brain topographic map, cortical activation patterns, and Granger causation (effective connectivity) were analyzed from 128 electrode sites. No significant differences between N100 event related potential components for either stimulus indicates early selective attention processing was similar for number and non-number plate stimuli, but non-number plate stimuli evoked significantly higher amplitudes, longer latencies of the P300 event related potential component with a slower reaction time compared to number plate stimuli imply the allocation of attentional load was more in non-number plate processing. A different pattern of the asymmetric scalp voltage map was noticed for P300 components with a higher intensity in the left hemisphere for number plate tasks and higher intensity in the right hemisphere for non-number plate tasks. Asymmetric cortical activation and connectivity patterns revealed that number recognition occurred in the occipital and left frontal areas where as the consequence was limited to the occipital area during the non-number plate processing. Finally, results demonstrated that the visual recognition of numbers dissociates from the recognition of non-numbers at the level of defined neural networks. Number recognition was not only a process of visual perception and attention, but was also related to a higher level of cognitive function, that of language.

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Object Recognition in Mental Representations: Directions for Exploring Diagnostic Features through Visual Mental Imagery

Cited by 21 publications

References 108 publications

Spanish Version of the Plymouth Sensory Imagery Questionnaire

Spanish Version of the Plymouth Sensory Imagery Questionnaire

Wireless Brain-Robot Interface: User Perception and Performance Assessment of Spinal Cord Injury Patients

Neural activation patterns and connectivity in visual attention during Number and Non-number processing: An ERP study using the Ishihara pseudoisochromatic plates

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