nirs

fNIRS 2018

fNIRS 2010 conference will be held during October 5-8, 2018 in Tokyo, Japan. You may find more information at http://fnirs2018.org/. The early registration deadline is 2018-09-05.
Xu Cui
5 sec read

Temporal resolution of CW fNIRS devices

This is a guest post by Ning Liu from Stanford University. Temporal resolution provides information on the distance of time between the acquisitions of two images (data) of the same area. It is the reciprocal of sampling rate (or acquisition rate) of
Xu Cui
1 min read

To beginner: task-based fNIRS study design (2)

This is a guest post by Ning Liu from Stanford University. – A basic block design includes two conditions: task condition and control condition. The two conditions present alternatively, thus is also called ‘AB block’ (Fig. 1A). This design assumes t
Xu Cui
1 min read

浅谈近红外脑成像(fNIRS)任务态实验设计(二)

本文作者是斯坦福大学刘宁 传统的组块设计(block design)通常包括两种组块: 任务组块和控制组块,又被称为“AB block”设计(如图1A)。这种设计基于一个假设: 两种组块条件下的意识态
Xu Cui
9 sec read

To beginner: task-based fNIRS study design (1)

This is a guest post by Ning Liu from Stanford University. — For someone who has no imaging background and just began to use fNIRS, s/he might be surprised to find out that the imaging study design is so different with study designs in other fi
Xu Cui
45 sec read

浅谈近红外脑成像(fNIRS)任务态实验设计(一)

本文作者是斯坦福大学刘宁 对于一个近红外初学者,特别是没有任何脑成像背景的初学者,他们往往没有想到脑成像的实验设计和别的学科的实验设计,诸如行为科学或者生物实验等有很大不同。通过一些文献阅读或者相关培
Xu Cui
1 sec read

近红外成像入门培训 —— 小型私人辅导

代朋友发布这个培训信息。有兴趣直接联系 [email protected] ———————————————— 近红外成像入门培训 —— 小型私人辅导 专门针对初学者,不需要任何近红外成像
Xu Cui
1 sec read

How to track new NIRS publications and grants?

Near infrared spectroscopy (NIRS) is an increasingly popular technology in brain imaging research. Compared to fMRI, NIRS can be used for more naturalistic experiments, including face to face communication, natural body movements, sports, infants, an
Xu Cui
1 min read

3 ways to check NIRS data quality

Before performing any data analysis, we should check the data quality first. Below are 3 ways to do so. 1. Visual check of the time series The best pattern detector is our eyes and brains! In many cases, if we visually see the data, we know what is w
Xu Cui
1 min read