2021
DOI: 10.1016/j.neuroimage.2020.117572
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Facial and neural mechanisms during interactive disclosure of biographical information

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Cited by 17 publications
(14 citation statements)
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“…We suggest using the optical signal strength as an exclusion criterion when performing applied research (e.g., robot control by a BCI and clinical studies) and reporting the level of raw signal strength in future publications. Performing screening prior to a neuroscientific study has been proposed, 70 72 and metrics related to signal quality, such as the scalp coupling index, 73 the light-tissue coupling index, 74 or the signal quality index, 75 could be adapted. Second, MWs showed a significant effect on -values, with all subjects with low MW amplitudes exhibiting high -values, thereby confirming the relevant literature.…”
Section: Discussionmentioning
confidence: 99%
“…We suggest using the optical signal strength as an exclusion criterion when performing applied research (e.g., robot control by a BCI and clinical studies) and reporting the level of raw signal strength in future publications. Performing screening prior to a neuroscientific study has been proposed, 70 72 and metrics related to signal quality, such as the scalp coupling index, 73 the light-tissue coupling index, 74 or the signal quality index, 75 could be adapted. Second, MWs showed a significant effect on -values, with all subjects with low MW amplitudes exhibiting high -values, thereby confirming the relevant literature.…”
Section: Discussionmentioning
confidence: 99%
“… 338 , 339 Quantification of dyadic properties includes measures of neural coupling, sometimes referred to as inter-brain synchrony or cross-brain coherence, 340 342 which quantifies the extent to which the temporal patterns of neural signals across brains are correlated. 321 , 343 345 The main questions include: What are these dyadic mechanisms? How can they be isolated?…”
Section: Functional Applications In Neurodevelopment and Cognitionmentioning
confidence: 99%
“…A previous two-person fMRI study of nonverbal communication [ 28 ] reported brain-to-brain coupling between a “sender” and “perceiver” of facial expressions in a set of regions, including the insula, ventro-/dorsolateral PFC, precuneus, and hippocampus. In addition, a functional near infrared spectroscopy (fNIRS) hyperscanning study reported increased facial expressivity and eye gaze, which was underpinned by activation and cross-brain coupling of vlPFC, dlPFC, and the TPJ, when participants were sharing personal information interactively, relative to a nonsharing condition [ 58 ]. These studies support the importance of such social-mirroring circuitry to interpersonal interactions.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, while participants in this study were real clinicians and real patients with chronic pain, the MRI environment is inherently limited in terms of ecological validity due to the supine position of participants and the inability to communicate verbally during the pain/treatment fMRI scan. Future studies may investigate facial communication and brain-to-brain concordance using electroencephalography [ 63 ] or near-infrared spectroscopy [ 58 ], which would enable a more naturalistic patient–clinician interaction with more mobility, though at the cost of lower spatial resolution and depth. Finally, the clinical context in this study may not generalize to other kinds of patient–clinician interactions (e.g., psychotherapy, general medicine, and physical therapy).…”
Section: Discussionmentioning
confidence: 99%