Synchronised neural signature of creative mental imagery in reality and augmented reality

Giannopulu, Irini; Brotto, Gaelle; Lee, T.J.; Frangos, Andreas S.; To, Dylan

doi:10.1016/j.heliyon.2022.e09017

Cited by 12 publications

(10 citation statements)

References 83 publications

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“…Objects are incorporated into the body (Giannopulu, 2016;Giannopulu et al, 2022a), are internalized and likewise they extend the body (Maravita and Iriki, 2004;De Preester and Tsakiris, 2009). With regard to one's position, because internalized, object shadows are both objects and body extensions (Kuylen et al, 2014).…”

Section: Theoretical Background On Objects and Body Shadowsmentioning

confidence: 99%

Predicting neural activity of whole body cast shadow through object cast shadow in dynamic environments

Giannopulu,

Lee,

Abdi

et al. 2024

Front. Psychol.

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Shadows, as all other objects that surround us, are incorporated into the body and extend the body mediating perceptual information. The current study investigates the hypothesis according to which the perception of object shadows would predict the perception of body shadows. 38 participants (19 males and 19 females) aged 23 years on average were immersed into a virtual reality environment and instructed to perceive and indicate the coincidence or non coincidence between the movement of a ball shadow with regard to ball movement on the one hand, and between their body shadow and their body position in space on the other. Their brain activity was recording via a 32-channel EEG system, in which beta (13.5–30 Hz) oscillations were analyzed. A series of Multiple Regression Analysis (MRA) revealed that the beta dynamic oscillations patterns of the bilateral occipito-parieto-frontal pathway associated with the perception of ball shadow appeared to be a significant predictor of the increase in beta oscillations across frontal areas related to the body shadow perception and the decrease in beta oscillations across frontal areas connected to the decision making of the body shadow. Taken together, the findings suggest that inferential thinking ability relative to body shadow would be reliably predicted from object shadows and that the bilateral beta oscillatory modulations would be indicative of the formation of predictive neural frontal assemblies, which encode and infer body shadow neural representation, that is, a substitution of the physical body.

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Section: Theoretical Background On Objects and Body Shadowsmentioning

confidence: 99%

Predicting neural activity of whole body cast shadow through object cast shadow in dynamic environments

Giannopulu,

Lee,

Abdi

et al. 2024

Front. Psychol.

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“…There are no apparent conclusions or consensus about teaching creativity, and how better to teach it concerns many teachers. Fostering creativity is a complex process [ 46 , 47 ]. Teachers focus on fostering student creativity, but there may not be an easy or straightforward answer for schools and teachers [ 48 , 49 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Effectiveness of gamification and selection of appropriate teaching methods of creativity: Students’ perspectives

Lee

2023

Heliyon

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“…G-Tec [9] ASA Lab, ANT [51,68] Nihon Kohden [39] LiveAmp [10,44] g.LADYBIRD [11,12,50] g.GAMMAsys [72] g.USBamp [36] g.tec Nautilus [82] Brain Products [77] QuickAmp [79] actiCHamp [62,63] BrainAmp [46] BrainAmp Move System [54,76] Enobio 3 [13] Enobio-32 [88] StarStim 8 [35] EPOC Flex [14] Neuracle [17,18] OpenBCI [47][48][49] Biosemi Active Two [21] Biosemi Actiview [42,43] V-Amp [22] ANT Neuro [52,53,64] eegoSports [81] ActiCAP [25,28,57,67,70,78] BIOPAC MP160 [75] Mobita [83] EasyCap [32,41,85,86] Scan SynAmps2 Express [30] Cur...…”

Section: Eeg Equipmentmentioning

confidence: 99%

“…HTC Vive HTC Vive Pro [39][40][41][42][43][44][45][46] HTC Vive Focus [47][48][49] Oculus Rift DK2 [50][51][52][53][54][55][56][57] Oculus Rift [58][59][60][61][62][63] Oculus Rift S [64] Oculus [65,66] Oculus Go [67] nVisor SX60 [68][69][70] 3DVR [71] HTC Vive/Samsung Odyssey [72] MIUI PLAY2 [73] Silicon Micro Display ST1080-10V1 [74] VIVE-P130 [75] ACER WMR [76] n/a [77][78][79][80][81] AR Hololens [82,83] 8…”

mentioning

confidence: 99%

Cognitive Assessment Based on Electroencephalography Analysis in Virtual and Augmented Reality Environments, Using Head Mounted Displays: A Systematic Review

Gramouseni,

Tzimourta,

Angelidis

et al. 2023

BDCC

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The objective of this systematic review centers on cognitive assessment based on electroencephalography (EEG) analysis in Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR) environments, projected on Head Mounted Displays (HMD), in healthy individuals. A range of electronic databases were searched (Scopus, ScienceDirect, IEEE Explore and PubMed), using PRISMA research method and 82 experimental studies were included in the final report. Specific aspects of cognitive function were evaluated, including cognitive load, immersion, spatial awareness, interaction with the digital environment and attention. These were analyzed based on various aspects of the analysis, including the number of participants, stimuli, frequency bands range, data preprocessing and data analysis. Based on the analysis conducted, significant findings have emerged both in terms of the experimental structure related to cognitive neuroscience and the key parameters considered in the research. Also, numerous significant avenues and domains requiring more extensive exploration have been identified within neuroscience and cognition research in digital environments. These encompass factors such as the experimental setup, including issues like narrow participant populations and the feasibility of using EEG equipment with a limited number of sensors to overcome the challenges posed by the time-consuming placement of a multi-electrode EEG cap. There is a clear need for more in-depth exploration in signal analysis, especially concerning the α, β, and γ sub-bands and their role in providing more precise insights for evaluating cognitive states. Finally, further research into augmented and mixed reality environments will enable the extraction of more accurate conclusions regarding their utility in cognitive neuroscience.

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Synchronised neural signature of creative mental imagery in reality and augmented reality

Cited by 12 publications

References 83 publications

Predicting neural activity of whole body cast shadow through object cast shadow in dynamic environments

Predicting neural activity of whole body cast shadow through object cast shadow in dynamic environments

Effectiveness of gamification and selection of appropriate teaching methods of creativity: Students’ perspectives

Cognitive Assessment Based on Electroencephalography Analysis in Virtual and Augmented Reality Environments, Using Head Mounted Displays: A Systematic Review

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