scholarly journals Brain Function Analysis of Watching an Automobile Driving Hazard Prediction Video: fNIRS Study of the Prefrontal Cortex

2021 ◽  
Vol 36 (3) ◽  
pp. 415-419
Author(s):  
Naotoshi KIMURA ◽  
Daisuke HIRANO ◽  
Hana NOZAWA ◽  
Takamichi TANIGUCHI
Keyword(s):  
Prefrontal Cortex ◽  
Brain Function ◽  
Function Analysis ◽  
Automobile Driving

Dynamic weighted “small-world” graphical network establishment for fNIRS time-varying brain function analysis

2021 ◽  
Vol 69 ◽  
pp. 102902
Author(s):  
Yalin Wang ◽  
Xian Zhao ◽  
Wei Zhou ◽  
Chen Chen ◽  
Wei Chen
Keyword(s):  
Brain Function ◽  
Function Analysis ◽  
Small World ◽  
Time Varying

Is the Human Brain Unique?

2018 ◽  
Author(s):  
Jack M. Gorman
Keyword(s):  
Prefrontal Cortex ◽  
Theory Of Mind ◽  
Human Brain ◽  
Brain Function ◽  
Human Mind ◽  
Brain Diseases ◽  
Expression Of Genes ◽  
The Future ◽  
Mind And Brain ◽  
The Brain

Some scientists now argue that humans are really not superior to other species, including our nearest genetic neighbors, chimpanzees and bonobos. Indeed, those animals seem capable of many things previously thought to be uniquely human, including a sense of the future, empathy, depression, and theory of mind. However, it is clear that humans alone produce speech, dominate the globe, and have several brain diseases like schizophrenia. There are three possible sources within the brain for these differences in brain function: in the structure of the brain, in genes coding for proteins in the brain, and in the level of expression of genes in the brain. There is evidence that all three are the case, giving us a place to look for the intersection of the human mind and brain: the expression of genes within neurons of the prefrontal cortex.

An optical 6-axis force sensor for brain function analysis using fMRI

2004 ◽  
Author(s):  
N. Takahashi ◽  
M. Tada ◽  
Jun Ueda ◽  
Y. Matsumoto ◽  
T. Ogasawara
Keyword(s):  
Brain Function ◽  
Function Analysis ◽  
Force Sensor

Role of medial prefrontal cortex in a default mode of brain function

NeuroImage ◽  
2001 ◽  
Vol 13 (6) ◽  
pp. 414 ◽  
Author(s):  
Debra Gusnard ◽  
Erbil Akbudak ◽  
Gordon Shulman ◽  
Marcus E. Raichle
Keyword(s):  
Prefrontal Cortex ◽  
Medial Prefrontal Cortex ◽  
Brain Function ◽  
Default Mode

Asymmetric brain function, affective style, and psychopathology: The role of early experience and plasticity

1994 ◽  
Vol 6 (4) ◽  
pp. 741-758 ◽  
Author(s):  
Richard J. Davidson
Keyword(s):  
Prefrontal Cortex ◽  
Individual Differences ◽  
Brain Function ◽  
Goal Attainment ◽  
Early Experience ◽  
Frontal Asymmetry ◽  
Affective Style ◽  
Approach And Withdrawal ◽  
Over Time

AbstractA model of asymmetric contributions to the control of different subcomponents of approach- and withdrawal-related emotion and psychopathology is presented. Two major forms of positive affect are distinguished. An approach-related form arises prior to goal attainment, and another form follows goal attainment. The former is hypothesized to be associated with activation of the left prefrontal cortex. Individual differences in patterns of prefrontal activation are stable over time. Hypoactivation in this region is proposed to result in approach-related deficits and increase an individual's vulnerability to depression. Data in support of these proposals are presented. The issue of plasticity is then considered from several perspectives. Contextual factors are superimposed upon tonic individual differences and modulate the magnitude of asymmetry. Pharmacological challenges also alter patterns of frontal asymmetry. A diverse array of evidence was then reviewed that lends support to the notion that these patterns of asymmetry may be importantly influenced by early environmental factors that result in enduring changes in brain function and structure.

scholarly journals Study on the Effect of the Prone Position on Brain Function. Analysis of Wave Frequency on the Electroencephalogram.

2000 ◽  
Vol 50 (5) ◽  
pp. 431-437
Author(s):  
Kikuyo Koitabashi ◽  
Natsuko Yanagi ◽  
Mieko Maeda
Keyword(s):  
Prone Position ◽  
Brain Function ◽  
Function Analysis ◽  
Wave Frequency

Effects of noise on a person's psychological state under task-loaded condition from the viewpoint of brain function analysis

2016 ◽  
Vol 140 (4) ◽  
pp. 3047-3047
Author(s):  
Takeshi Akita ◽  
Naoko Sano ◽  
Ayako Matsuo
Keyword(s):  
Brain Function ◽  
Function Analysis ◽  
Psychological State

scholarly journals Finding Community Modules of Brain Networks Based on PSO with Uniform Design

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Jie Zhang ◽  
Lingkai Tang ◽  
Bo Liao ◽  
Xiaoshu Zhu ◽  
Fang-Xiang Wu
Keyword(s):  
Brain Function ◽  
Function Analysis ◽  
Uniform Design ◽  
Brain Networks ◽  
Complex Structures ◽  
Novel Method ◽  
The Difference ◽  
Living Organisms ◽  
Neural Unit ◽  
The Brain

The brain has the most complex structures and functions in living organisms, and brain networks can provide us an effective way for brain function analysis and brain disease detection. In brain networks, there exist some important neural unit modules, which contain many meaningful biological insights. It is appealing to find the neural unit modules and obtain their affiliations. In this study, we present a novel method by integrating the uniform design into the particle swarm optimization to find community modules of brain networks, abbreviated as UPSO. The difference between UPSO and the existing ones lies in that UPSO is presented first for detecting community modules. Several brain networks generated from functional MRI for studying autism are used to verify the proposed algorithm. Experimental results obtained on these brain networks demonstrate that UPSO can find community modules efficiently and outperforms the other competing methods in terms of modularity and conductance. Additionally, the comparison of UPSO and PSO also shows that the uniform design plays an important role in improving the performance of UPSO.

Ride Comfort Evaluation Using Brain Activity in the Prefrontal Cortex Induced by Discomfort During Horizontal Vibration

2017 ◽  
Author(s):  
Kazunori Kaede ◽  
Yuta Arakawa ◽  
Keiichi Muramatsu ◽  
Keiichi Watanuki
Keyword(s):  
Prefrontal Cortex ◽  
Brain Function ◽  
Near Infrared ◽  
Ride Comfort ◽  
Brain Activity ◽  
Correlation Coefficients ◽  
Brain Activation ◽  
High Positive Correlation ◽  
Comfort Evaluation ◽  
Ride Comfort Evaluation

In this study, we measured brain activity using near-infrared spectroscopy (NIRS) when a person was feeling discomfort caused by vibrations. We used the variance in oxygenated hemoglobin (oxy-Hb) levels as an evaluation index. Correlation coefficients were derived from the results of brain function measurements and sensibility evaluation of discomfort using a questionnaire. As a result, a high negative correlation was observed between discomfort and both vibration and brain activation around the medial prefrontal cortex, and a high positive correlation was observed between discomfort and both vibration and brain activation around the lateral prefrontal cortex. This suggests the possibility of evaluating discomfort on the basis of brain activation.

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