Brain activities of visual thinkers and verbal thinkers: A MEG study

Nishimura, Kazuo; Aoki, Takaaki; Inagawa, Michiyo; Tobinaga, Yoshikazu; Iwaki, Sunao

doi:10.1016/j.neulet.2015.03.043

Cited by 10 publications

(17 citation statements)

References 22 publications

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“…1 Electroencephalography (EEG), near-infrared spectroscopy (NIRS), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), positron emission tomography (PET), magnetoencephalography (MEG), and other advanced modalities are utilized separately or jointly for encephalopathy monitoring, medical diagnosis, and functional rehabilitation. [2][3][4][5] The EEG is the only non-invasive measure for neuronal function of the brain, and kinds of encephalopathy can be assessed by using EEG. 6 Generally, current monitoring by EEG devices is inpatient due to the huge volume.…”

Section: Introductionmentioning

confidence: 99%

A real-time wireless wearable electroencephalography system based on Support Vector Machine for encephalopathy daily monitoring

Zhang

Wang

Liu

et al. 2018

International Journal of Distributed Sensor Networks

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Wearable electroencephalography systems of out-of-hospital can both provide complementary recordings and offer several benefits over long-term monitoring. However, several limitations were present in these new-born systems, for example, uncomfortable for wearing, inconvenient for retrieving the recordings by patients themselves, unable to timely provide accurate classification, and early warning information. Therefore, we proposed a wireless wearable electroencephalography system for encephalopathy daily monitoring, named as Brain-Health, which focused on the following three points: (a) the monitoring device integrated with electroencephalography acquisition sensors, signal processing chip, and Bluetooth, attached to a sport hat or elastic headband; (b) the mobile terminal with dedicated application, which is not only for continuous recording and displaying electroencephalography signal but also for early warning in real time; and (c) the encephalopathy's classification algorithm based on intelligent Support Vector Machine, which is used in a new application of wearable electroencephalography for encephalopathy daily monitoring. The results showed a high mean accuracy of 91.79% and 93.89% in two types of classification for encephalopathy. In conclusion, good performance of our Brain-Health system indicated the feasibility and effectiveness for encephalopathy daily monitoring and patients' health self-management.

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Section: Introductionmentioning

confidence: 99%

A real-time wireless wearable electroencephalography system based on Support Vector Machine for encephalopathy daily monitoring

Zhang

Wang

Liu

et al. 2018

International Journal of Distributed Sensor Networks

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“…In this section, we will report some of our findings, with new results on additional frequency bands and sensors [1] . Fig.…”

Section: Resultsmentioning

confidence: 94%

“…Ten seconds was allotted to each task, with no breaks in between. The reasoning behind each task was as follows: envisioning Kiyomizu-dera and the Japanese House of Parliament required them to imagine a book or photograph (1,2). Recalling the 12 signs of the Chinese zodiac led them to chant nouns in their head (3).…”

Section: Methodsmentioning

confidence: 99%

“…Comparison of brain activity in the two groups revealed that those with strong visualization ability tended to be visual thinkers, while those with weak visualization ability tended to be verbal thinkers. Below, we will discuss the research in light of results from our recent paper, together with some complementary findings [1] .…”

Section: Research Highlightmentioning

confidence: 97%

“…In a recent study, we divided subjects into two groups based on whether they had strong or weak visualization ability to form mental imagery. We then proceeded to examine how this ability at the time of thinking affected global brain activation patterns, as well as differences in local activation patterns that emerged in a region of interest (ROI) [1] . With the prediction that the strength of visualization ability is associated with a tendency toward visual or verbal thinking, we hypothesized that "when undergoing a visual or verbal task, those with strong imaging capacities will have more activation in the visual area, while those with weak imaging capacities will show more activation in the frontal language area, as assessed with high-β and low-γ bands."…”

Section: Research Highlightmentioning

confidence: 99%

See 2 more Smart Citations

Individual Differences in Mental Imagery Tasks: A Study of Visual Thinkers and Verbal Thinkers

Nishimura

Aoki

Inagawa³

et al. 2016

Neurosci Commun

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In the context of individual differences in human thinking patterns, the present study examined differences between visual thinking and verbal thinking, specifically with regard to brain activity associated with each. In a recent study, we divided subjects into visual thinkers and non-visual thinkers according to their responses to a questionnaire survey, and took magnetoencephalogram (MEG) measurements while they underwent verbal and visual tasks [1]. This revealed significant differences in brain activation patterns near both the primary visual area and frontal language area, particularly during the verbal task [1]. From this, we surmised that human original thinking can be divided into visual and verbal types. Our neurological analyses of the diversity of individual thinking characteristics can likely be applied to the fields of economics and education.

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Differences in numeric, verbal, and spatial reasoning between engineering and literature students through a neurocognitive lens

Liang

Liu

Chang

et al. 2020

Cognitive Systems Research

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Brain activities of visual thinkers and verbal thinkers: A MEG study

Cited by 10 publications

References 22 publications

A real-time wireless wearable electroencephalography system based on Support Vector Machine for encephalopathy daily monitoring

A real-time wireless wearable electroencephalography system based on Support Vector Machine for encephalopathy daily monitoring

Individual Differences in Mental Imagery Tasks: A Study of Visual Thinkers and Verbal Thinkers

Differences in numeric, verbal, and spatial reasoning between engineering and literature students through a neurocognitive lens

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