Functional near-infrared spectroscopy (fNIRS), a promising noninvasive imaging technique, has recently become an increasingly popular tool in resting-state brain functional connectivity (FC) studies. However, the corresponding software packages for FC analysis are still lacking. To facilitate fNIRS-based human functional connectome studies, we developed a MATLAB software package called "functio...

Background: Extracranial signals are the main source of noise in functional near-infrared spectroscopy (fNIRS) as light is penetrating the cortex but also skin and muscles of the head. Aim: Here we performed three experiments to investigate the contamination of fNIRS measurements by temporal muscle activity. Material and methods: For experiment 1, we provoked temporal muscle activity by instruc...

Brain Computer Interface (BCI) has been recently increased in research. Functional Near Infrared Spectroscope (fNIRs) is one the latest technologies which utilize light in the near-infrared range to determine brain activities. Because near infrared technology allows design of safe, portable, wearable, non-invasive and wireless qualities monitoring systems, fNIRs monitoring of brain hemodynamics...

We propose using functional near-infrared spectroscopy (fNIRS) to measure brain activity during driving tasks. Functional NIRS is a relatively new brain sensing technology that is portable and noninvasive, making it possible to sense brain activity in environments that would not be possible using most traditional imaging techniques. This provides us with the opportunity to better understand cha...

Recent research has pointed towards further understanding the cognitive processes involved in interactive information retrieval, with most papers using secondary measures of cognition to do so. Our own research is focused on using direct measures of cognitive workload, using brain sensing techniques with fNIRS. Amongst various brain sensing technologies, fNIRS is most conducive to ecologically ...

The registration of functional brain data to the common brain space offers great advantages for inter-modal data integration and sharing. However, this is difficult to achieve in functional near-infrared spectroscopy (fNIRS) because fNIRS data are primary obtained from the head surface and lack structural information of the measured brain. Therefore, in our previous articles, we presented a met...

Functional near-infrared spectroscopy (fNIRS) uses near-infrared light to measure changes in the concentration of oxygenated (HbO) and deoxygenated hemoglobin (HbR). Physiological processes, such as heart beat, respiration, vasomotor waves, induce concentration changes of HbO and HbR well detectable in the fNIRS signal. Some of these physiological components, as well as random disturbances, can...

Functional near-infrared spectroscopy (fNIRS) is a relatively new technique that can measure hemoglobin changes in brain tissues, and its use in psychiatry has been progressing rapidly. Although it has several disadvantages (e.g., relatively low spatial resolution and the possibility of shallow coverage in the depth of brain regions) compared with other functional neuroimaging techniques (e.g.,...

The performance of a Certified Professional Controller (CPC) can have a critical impact on safety. A specific concern is that a high cognitive load has been associated with performance decrement. Thus, it is important to continuously monitor and accurately assess CPC cognitive load. The purpose of the study was to evaluate the effectiveness of Conflict Resolution Advisory (CRA), automation whic...

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Tiina Näsi Name of the doctoral dissertation Multimodal applications of functional near-infrared spectroscopy Publisher School of Science Unit Department of Biomedical Engineering and Computational Science Series Aalto University publication series DOCTORAL DISSERTATIONS 45/2013 Field of research Biomedical engineering and bio...