Revealing the distinction between perception and cognition through intra-individual variability of visual evoked responses

Constantinescu, V.

doi:10.1016/0020-7101(95)01142-0

Cited by 3 publications

(10 citation statements)

References 19 publications

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“…According to previous EEG studies of cognition, we chose electrodes of functional regions related to cognition [14][15][16] to record the EEG, including FPz, Fz, F3, F4, F7, F8, Cz, C3, C4, T7, T8, Pz, P3, P4, P7, P8, POz, Oz, O1, O2. In addition, horizontal and vertical electrooculograms (HEOG, VEOG) were recorded from two bipolar electrodes placed slightly lateral to the outer canthus of each eye and above and below the left eye.…”

Section: Data Acquisition and Preprocessingmentioning

confidence: 99%

EEG functional network properties related to visually induced unrecognized spatial disorientation

Chen

et al. 2015

BME

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Abstract. Unrecognized spatial disorientation (SD) which is intimately linked with brain cognitive function is always a fatal issue for the safety of pilots. To explore its effects on human brain cognitive functions, electroencephalography (EEG) functional network analysis methods were adopted to examine topological changes in the connection of cognitive regions when experiencing unrecognized SD. Twelve male pilots participated in the study. They were subjected to a SD scene, namely visual rotation, which evoked unrecognized SD. For the main EEG frequency intervals, the phase lag index (PLI) and normalized mutual information (NMI) were calculated to quantify the EEG data. Then weighted connectivity networks were constructed and their properties were characterized in terms of an average clustering coefficient and global efficiency. A T-test was performed to compare PLI, NMI and network measures under unrecognized SD and non-SD conditions. It indicated a weak functional connectivity level in the theta band under unrecognized SD based on the significant decrease of mean values of PLI and NMI (p<0.05). Meanwhile, both the average clustering coefficient and global efficiency in the theta band reduced under the unrecognized SD condition. The decrease of the average clustering coefficient and global efficiency demonstrates a lack of small-world characteristics and a decline in processing efficiency of brain cognitive regions. All the experimental results show that unrecognized SD may have a negative effect on brain functional networks in the theta band. S1115With the development of aviation and space technology, astronauts and pilots are being sent into space on board various aircrafts and planes. Meanwhile, a series of problems is emerging, and spatial disorientation (SD) is one of these problems that have to be studied. During flight, three sensory systems named visual, vestibular and proprioceptive system often send conflicting information to the brain, and then three types of SD may happen, namely recognized SD, unrecognized SD and incapacitating SD [1]. SD often causes flying accidents, and statistics show that from 5% to 10% of all aviation accidents can be attributed to SD, while 90% of these accidents are fatal [2]. One thing to note is that accidents caused by unrecognized SD account for 80% of the total caused by SD [3]. The brain is considered to be a complex system, comprising spatially interconnected areas [4]. Similar with the connectivity of complex network, the structural and functional brain network possesses the small-world properties found by Watts and Strogatz [5]. It has been suggested that small-world properties support rapid adaptive reconfiguration of functional connectivity in response to varying cognitive demands [6] when listening to music [4] and learning [7]. Also many researches indicate that network measures show a great change in neurological diseases like Alzheimer's [8] and schizophrenia [9]. These findings indicate that the brain functional network has a dynamic feature according to...

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Section: Data Acquisition and Preprocessingmentioning

confidence: 99%

EEG functional network properties related to visually induced unrecognized spatial disorientation

Chen

et al. 2015

BME

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“…The information processing in the brain is usually divided into three steps [10]: sensation, perception, and cognition. The sensation is carried out by the receptors (for example, eyes of the visual system) to sense the outside stimuli and transfer them up to the primary visual cortex (V1) in the brain [11].…”

Section: The Hypotheses Of Classification Methods For Unrecognizedmentioning

confidence: 99%

“…Human correctly cognize position, movement, and orientation from three systems [17]: the visual, vestibular, and proprioceptive system [18]. Information, no matter from which system, processed in the brain, is usually divided into three steps: sensation, perception, and cognition [10] (FIGURE 2.). The three steps are considered as a continuous and progressively neurophysiologic process [19], [20].…”

Section: Evaluation Of the Hypothesesmentioning

confidence: 99%

“…The sensory information is put into the primary cortex, prompting the activity of the primary cortex. However, sensory information is just presented in parallel in the primary cortex [22], without deep processing, positive feedback, negative feedback, or cyclic processing [10]. It is not perceived by the human brain [25].…”

Section: B Unperceivrd Sdmentioning

confidence: 99%

“…The report by Constantinescu et al [10] put forward some evidence that even if the information was perceived, it might also fail in the cognitive process, which includes categorization, comparison, and object recognition [24]. Besides, they suggested that the difference of variability in EEG signals or fMRI reflected the distinction between cognitive and perceptual processes.…”

Section: Perceived Sdmentioning

confidence: 99%

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A Classification Method for Unrecognized Spatial Disorientation Based on Perceptual Process

et al. 2020

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Spatial disorientation (SD) is the pilot's wrong judgment of flight altitude, position, and motion in three-dimensional space during flight. SD is among the significant causes of flight accidents that seriously affect flight safety. Unrecognized SD causes most of these accidents. In this study, we analyzed the mechanism of unrecognized SD based on the brain's perceptual process. According to the process of sensation and perception, we put forth a new hypothesis of a classification method for unrecognized SD: unrecognized SD might be subdivided into insensate SD, unperceived SD, and perceived SD. There might be some meaningful differences in brain activity in EEG signals or fMRI between unperceived SD and perceived SD. The classification method in this study was proposed based on some related research reports and provided new ideas and methods for scholars to study unrecognized SD. If the hypothesis can be proved, it will provide a basis for scholars learning the mechanism of unrecognized SD and subsequently putting forward countermeasures in SD training. Moreover, as a consequence, the subdivision will contribute to pilot selection, and some specialized SD training for countermeasures could be put forward to reduce aircraft accidents.

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Robust Processing of Visual Evoked Potentials

Claudio

Falvo

Parisi

et al. 1999

Perspectives in Neural Computing

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Revealing the distinction between perception and cognition through intra-individual variability of visual evoked responses

Cited by 3 publications

References 19 publications

EEG functional network properties related to visually induced unrecognized spatial disorientation

EEG functional network properties related to visually induced unrecognized spatial disorientation

A Classification Method for Unrecognized Spatial Disorientation Based on Perceptual Process

Robust Processing of Visual Evoked Potentials

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