A Survey: Challenges and Future Research Directions of fMRI Based Brain Activity Decoding Model

2021 ◽  
Author(s):  
Xiaomu Cheng ◽  
Huansheng Ning ◽  
Bing Du
Keyword(s):  
Brain Activity ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions

Functional Neuroimaging of Acupuncture

2013 ◽  
pp. 142-155
Author(s):  
Bin Yan ◽  
Yu Lei ◽  
Li Tong ◽  
KeWei Chen
Keyword(s):  
Magnetic Resonance Imaging ◽  
Functional Neuroimaging ◽  
Brain Activity ◽  
Control Measures ◽  
Future Research ◽  
Research Directions ◽  
The World ◽  
Future Research Directions ◽  
Chinese Healing ◽  
And Control

Acupuncture, an ancient Chinese healing methodology, is becoming increasingly popular throughout the world. However, the mechanism by which acupuncture exerts its effects is not yet fully understood. Functional magnetic resonance imaging (fMRI) is a widely used technique to observe brain activity noninvasively. In this chapter, the authors first review the existing literature on the effects of acupuncture on brain activity and connectivity. The authors next discuss some basic issues in the study of acupuncture with fMRI, including deqi, baseline and control measures, acupuncture modalities, and experimental paradigms. At the end of the chapter, future research directions in the study of acupuncture with fMRI are suggested.

Novel Methods and Technologies for Assessing Usability of Off-Road Machines in R&D Phase - The Lutergo Laboratory

2021 ◽  
Author(s):  
Victor Zhidchenko ◽  
Amin Hekmatmanesh ◽  
Heikki Handroos ◽  
Asko Kilpeläinen ◽  
Kari Kauranen
Keyword(s):  
Traditional Approach ◽  
Brain Activity ◽  
Experimental System ◽  
Future Research ◽  
The Novel ◽  
Stress Indicators ◽  
Research Directions ◽  
Valve Dynamics ◽  
Future Research Directions ◽  
As Stress

Abstract A novel intelligent experimental research environment (LUTERGO laboratory) for developing the usability of off-road machines was created at LUT University. The environment combines a real-time simulator and an experimental system for measuring human body responses when driving the virtual prototypes of machines. Based on the quantities measured from the operator, such as heart rate, electrodermal, muscular, and brain activity, the stress level of the operator can be evaluated. It is assumed that by combining simulated machine data and biosignals, the usability of every virtual prototype of a new machine can be assessed during the R&D process. This is an alternative to a traditional approach when usability is studied with physical prototypes after conceptual R&D phases using qualitative data from questionnaires. The paper describes the structure and capabilities of the LUTERGO laboratory. Results of the initial tests are presented, which studied the influence of hydraulic valve dynamics on excavator vibration and operator biosignals. The results show that the biosignal parameters used as stress indicators change following the variation of time constant for directional valves controlling the main boom cylinders of the excavator. The paper concludes with future research directions using the novel environment.

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