NIRS hyperscanning data analysis (2)

1 min read

NIRS hyperscanning data analysis (1)
NIRS hyperscanning data analysis (2)
NIRS hyperscanning data analysis (3)
NIRS hyperscanning data analysis (4)

Data collection

We used Hitachi’s ETG 4000 to collect data. This device normally collects data from a single head. In some of the configurations, it has a set of fibers collecting the signal from the left brain, the other set from the right brain. We thought, why don’t we use the second set to collect signal on another person?

That’s what we did. The ETG 4000 system still treated the two streams of signals from a single brain, but later when we do the data analysis, we separated them.

We used one 3×5 patch on one person’s head, and the other 3×5 patch on the 2nd person’s head. The patch covers only a small area of the brains, so we need to pick up which brain region we need to measure. We chose the frontal cortex. Frankly speaking we don’t have a solid reason to do so, except:

(1) for a high level cognitive task like collaboration, frontal cortex is probably involved;
(2) the frontal region is easier to place the NIRS patch (there is no hair! Separating hair to get a better signal drives me crazy!), and the signal-to-noise ratio is higher compared to other brain areas (the skull is thinner in this region, as demonstrated by our other publications, see figure below).

Skull thickness
Skull thickness

So we put the caps on the frontal lobe – mostly for easier of experiment. You can see a picture below. In the picture are Dan (researcher assistant at that time) and me.

NIRS cap on head
NIRS cap on head

We tried to put the cap in the same position for all subjects. Of course, everybody’s head shape is different, so it’s not possible to precisely put the cap in the same location. But we follow some standard techniques such as using the eyebrow and midline as the landmark. In the end, we find this approach works reasonably well.

For this experiment, we did not collect the 3D digitizer data (to localize the channel location more precisely). The current method of collecting 3D digitizer data is tedious and prone to errors. I wish in the future the NIRS device can automatically tell the locations of each probe.



写作助手,把中式英语变成专业英文


Want to receive new post notification? 有新文章通知我

第五十一期fNIRS Journal Club通知2024/05/11, 10am 雷心博士

机器人通常以合作者的身份出现,以礼貌、鼓励、友好的方式与人类互动,但如果有一个竞争导向的机器人出现会如何?人们更喜欢与合作导向的机器人互动,还是更愿意通过竞争来激发自身动力呢?当我们与机器人合作或竞争
Wanling Zhu
13 sec read

第五十期fNIRS Journal Club视频 王一晖

Youtube: https://youtu.be/a2QlCFZUytA优酷:https://v.youku.com/v_show/id_XNjM3MjMyNjUxMg==.html 早期的 STE
Wanling Zhu
13 sec read

第五十期fNIRS Journal Club通知2024/03/30, 10am 王一晖

早期的 STEM 教育对于以后的学习至关重要。现有研究尚未就STEM教学法达成共识,学生先验知识对基于故事的STEM教学法的影响还有待探讨。来自澳门大学张娟教授团队的王一晖将会分享基于fNIRS超扫描
Wanling Zhu
9 sec read

Leave a Reply

Your email address will not be published. Required fields are marked *