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Schematic of the resting-state <t>fNIRS</t> recording configuration. This setup illustrates the arrangement of light-emitting sources and receiving detectors using a wireless Dual Brite system (Artinis ® ) for capturing <t>fNIRS</t> <t>data.</t> Panel ( A ) depicts a patient in a seated, eyes-closed posture during data acquisition. The distribution of channels is detailed across the superior frontal gyrus (Channels 30–39, Panel B ), left parietal lobe (Channels 40–44, Panel C ), right parietal lobe (Channels 25–29, Panel D ), and prefrontal cortex (Channels 1–24, Panel E ). This figure was partially generated using the ChatGPT 4 AI, which assisted in the creation of certain visual elements.
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Schematic of the resting-state fNIRS recording configuration. This setup illustrates the arrangement of light-emitting sources and receiving detectors using a wireless Dual Brite system (Artinis ® ) for capturing fNIRS data. Panel ( A ) depicts a patient in a seated, eyes-closed posture during data acquisition. The distribution of channels is detailed across the superior frontal gyrus (Channels 30–39, Panel B ), left parietal lobe (Channels 40–44, Panel C ), right parietal lobe (Channels 25–29, Panel D ), and prefrontal cortex (Channels 1–24, Panel E ). This figure was partially generated using the ChatGPT 4 AI, which assisted in the creation of certain visual elements.

Journal: Scientific Reports

Article Title: Pain classification using functional near infrared spectroscopy and assessment of virtual reality effects in cancer pain management

doi: 10.1038/s41598-025-93678-y

Figure Lengend Snippet: Schematic of the resting-state fNIRS recording configuration. This setup illustrates the arrangement of light-emitting sources and receiving detectors using a wireless Dual Brite system (Artinis ® ) for capturing fNIRS data. Panel ( A ) depicts a patient in a seated, eyes-closed posture during data acquisition. The distribution of channels is detailed across the superior frontal gyrus (Channels 30–39, Panel B ), left parietal lobe (Channels 40–44, Panel C ), right parietal lobe (Channels 25–29, Panel D ), and prefrontal cortex (Channels 1–24, Panel E ). This figure was partially generated using the ChatGPT 4 AI, which assisted in the creation of certain visual elements.

Article Snippet: The fNIRS data were pre-processed in the NIRS toolbox, a MATLAB-based analysis program for NIRS .

Techniques: Generated

Schematic illustration of fNIRS data acquisition before and after the Oceania virtual reality experience. Panel ( A ) shows a patient seated with the fNIRS system in place, coupled with a Meta Quest 2 VR headset, during capture of cerebral hemodynamic responses while engaged with the virtual environment ( B ). Panel ( A ) of this figure was generated using the ChatGPT 4 AI.

Journal: Scientific Reports

Article Title: Pain classification using functional near infrared spectroscopy and assessment of virtual reality effects in cancer pain management

doi: 10.1038/s41598-025-93678-y

Figure Lengend Snippet: Schematic illustration of fNIRS data acquisition before and after the Oceania virtual reality experience. Panel ( A ) shows a patient seated with the fNIRS system in place, coupled with a Meta Quest 2 VR headset, during capture of cerebral hemodynamic responses while engaged with the virtual environment ( B ). Panel ( A ) of this figure was generated using the ChatGPT 4 AI.

Article Snippet: The fNIRS data were pre-processed in the NIRS toolbox, a MATLAB-based analysis program for NIRS .

Techniques: Generated