Takusige Katura

TL;DR: Supportive evidence is provided that NIRS can be used to measure hemodynamic signals originating from prefrontal cortex activation, and the results suggest that the NirS-Hb signal mainly reflects hemodynamic changes in the gray matter.

TL;DR: The analysis of information transfer between LFOs around 0.1 Hz in the hemoglobin concentration change in the cerebral cortex, the heart rate, and the mean arterial blood pressure reveals that HR and ABP cannot account for more than the half the information carried with variable oxy HbCC, which suggests the origin of L FOs in cerebral hemodynamics may lie in the regulation of regional cerebral blood flow change and energetic metabolism.

TL;DR: Results show the MD-ICA method can discriminate between deep and shallow signals, and it is demonstrated that the shallow signals have a higher temporal correlation with the LDF signals and with the 5-mm S-D distance channel than the deep signals.

TL;DR: It is demonstrated that simple extensions of TRCA can provide most distinctive signals for two tasks and can integrate multiple modalities of information to remove task-unrelated artifacts.

TL;DR: The results suggest that NIR topography is useful for observing brain activity in most cases, although intersubject signal variability still needs to be resolved.