Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation

Prediction on the partner's speech plays a key role in a smooth conversation. However, previous studies on this issue have been majorly conducted at the single-brain rather than dual-brain level, leaving the interpersonal prediction hypothesis untested. To fill this gap, this study combined a n...
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Autor*in:	Tengfei Zhang [verfasserIn] Siyuan Zhou [verfasserIn] Xialu Bai [verfasserIn] Faxin Zhou [verfasserIn] Yu Zhai [verfasserIn] Yuhang Long [verfasserIn] Chunming Lu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Interpersonal prediction Natural conversation Prediction hierarchy Dual-brain neurocomputation fNIRS

Übergeordnetes Werk:	In: NeuroImage - Elsevier, 2020, 282(2023), Seite 120400-
Übergeordnetes Werk:	volume:282 ; year:2023 ; pages:120400-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.neuroimage.2023.120400

Katalog-ID:	DOAJ095206302

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allfields_unstemmed	10.1016/j.neuroimage.2023.120400 doi (DE-627)DOAJ095206302 (DE-599)DOAJf2b7630147a7472e8d17dc9c5e171f2f DE-627 ger DE-627 rakwb eng RC321-571 Tengfei Zhang verfasserin aut Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Prediction on the partner's speech plays a key role in a smooth conversation. However, previous studies on this issue have been majorly conducted at the single-brain rather than dual-brain level, leaving the interpersonal prediction hypothesis untested. To fill this gap, this study combined a neurocomputational modeling approach with a natural conversation paradigm in which two salespersons persuaded a customer to buy their product with their haemodynamic signals being collected using functional near-infrared spectroscopy hyperscanning. First, the results showed a cognitive hierarchy in a natural conversation, with the lower-level process (i.e., pragmatic representation of the persuasion) in the salesperson interacting with the higher-level process (i.e., value representation of the product) in the customer. Next, we found that the right dorsal lateral prefrontal cortex (rdlPFC) and temporoparietal junction (rTPJ) were associated with the representation of the product's value in the customer, while the right inferior frontal cortex (rIFC) was associated with the representation of the pragmatic processes in the salesperson. Finally, neurocomputational modeling results supported the prediction of the salesperson's lower-level brain activity based on the customer's higher-level brain activity. Moreover, the updating weight of the prediction model based on the neural computation between the rIFC of the salesperson and the rTPJ of the customer was closely associated with the interaction context, whereas that based on the rIFC-rdlPFC was not. In summary, these findings provide initial support for the interpersonal prediction hypothesis at the dual-brain level and reveal a hierarchy for the interpersonal prediction process. Interpersonal prediction Natural conversation Prediction hierarchy Dual-brain neurocomputation fNIRS Neurosciences. Biological psychiatry. Neuropsychiatry Siyuan Zhou verfasserin aut Xialu Bai verfasserin aut Faxin Zhou verfasserin aut Yu Zhai verfasserin aut Yuhang Long verfasserin aut Chunming Lu verfasserin aut In NeuroImage Elsevier, 2020 282(2023), Seite 120400- (DE-627)268125503 (DE-600)1471418-8 10959572 nnns volume:282 year:2023 pages:120400- https://doi.org/10.1016/j.neuroimage.2023.120400 kostenfrei https://doaj.org/article/f2b7630147a7472e8d17dc9c5e171f2f kostenfrei http://www.sciencedirect.com/science/article/pii/S1053811923005517 kostenfrei https://doaj.org/toc/1095-9572 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 282 2023 120400-
allfieldsGer	10.1016/j.neuroimage.2023.120400 doi (DE-627)DOAJ095206302 (DE-599)DOAJf2b7630147a7472e8d17dc9c5e171f2f DE-627 ger DE-627 rakwb eng RC321-571 Tengfei Zhang verfasserin aut Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Prediction on the partner's speech plays a key role in a smooth conversation. However, previous studies on this issue have been majorly conducted at the single-brain rather than dual-brain level, leaving the interpersonal prediction hypothesis untested. To fill this gap, this study combined a neurocomputational modeling approach with a natural conversation paradigm in which two salespersons persuaded a customer to buy their product with their haemodynamic signals being collected using functional near-infrared spectroscopy hyperscanning. First, the results showed a cognitive hierarchy in a natural conversation, with the lower-level process (i.e., pragmatic representation of the persuasion) in the salesperson interacting with the higher-level process (i.e., value representation of the product) in the customer. Next, we found that the right dorsal lateral prefrontal cortex (rdlPFC) and temporoparietal junction (rTPJ) were associated with the representation of the product's value in the customer, while the right inferior frontal cortex (rIFC) was associated with the representation of the pragmatic processes in the salesperson. Finally, neurocomputational modeling results supported the prediction of the salesperson's lower-level brain activity based on the customer's higher-level brain activity. Moreover, the updating weight of the prediction model based on the neural computation between the rIFC of the salesperson and the rTPJ of the customer was closely associated with the interaction context, whereas that based on the rIFC-rdlPFC was not. In summary, these findings provide initial support for the interpersonal prediction hypothesis at the dual-brain level and reveal a hierarchy for the interpersonal prediction process. Interpersonal prediction Natural conversation Prediction hierarchy Dual-brain neurocomputation fNIRS Neurosciences. Biological psychiatry. Neuropsychiatry Siyuan Zhou verfasserin aut Xialu Bai verfasserin aut Faxin Zhou verfasserin aut Yu Zhai verfasserin aut Yuhang Long verfasserin aut Chunming Lu verfasserin aut In NeuroImage Elsevier, 2020 282(2023), Seite 120400- (DE-627)268125503 (DE-600)1471418-8 10959572 nnns volume:282 year:2023 pages:120400- https://doi.org/10.1016/j.neuroimage.2023.120400 kostenfrei https://doaj.org/article/f2b7630147a7472e8d17dc9c5e171f2f kostenfrei http://www.sciencedirect.com/science/article/pii/S1053811923005517 kostenfrei https://doaj.org/toc/1095-9572 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 282 2023 120400-
allfieldsSound	10.1016/j.neuroimage.2023.120400 doi (DE-627)DOAJ095206302 (DE-599)DOAJf2b7630147a7472e8d17dc9c5e171f2f DE-627 ger DE-627 rakwb eng RC321-571 Tengfei Zhang verfasserin aut Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Prediction on the partner's speech plays a key role in a smooth conversation. However, previous studies on this issue have been majorly conducted at the single-brain rather than dual-brain level, leaving the interpersonal prediction hypothesis untested. To fill this gap, this study combined a neurocomputational modeling approach with a natural conversation paradigm in which two salespersons persuaded a customer to buy their product with their haemodynamic signals being collected using functional near-infrared spectroscopy hyperscanning. First, the results showed a cognitive hierarchy in a natural conversation, with the lower-level process (i.e., pragmatic representation of the persuasion) in the salesperson interacting with the higher-level process (i.e., value representation of the product) in the customer. Next, we found that the right dorsal lateral prefrontal cortex (rdlPFC) and temporoparietal junction (rTPJ) were associated with the representation of the product's value in the customer, while the right inferior frontal cortex (rIFC) was associated with the representation of the pragmatic processes in the salesperson. Finally, neurocomputational modeling results supported the prediction of the salesperson's lower-level brain activity based on the customer's higher-level brain activity. Moreover, the updating weight of the prediction model based on the neural computation between the rIFC of the salesperson and the rTPJ of the customer was closely associated with the interaction context, whereas that based on the rIFC-rdlPFC was not. In summary, these findings provide initial support for the interpersonal prediction hypothesis at the dual-brain level and reveal a hierarchy for the interpersonal prediction process. Interpersonal prediction Natural conversation Prediction hierarchy Dual-brain neurocomputation fNIRS Neurosciences. Biological psychiatry. Neuropsychiatry Siyuan Zhou verfasserin aut Xialu Bai verfasserin aut Faxin Zhou verfasserin aut Yu Zhai verfasserin aut Yuhang Long verfasserin aut Chunming Lu verfasserin aut In NeuroImage Elsevier, 2020 282(2023), Seite 120400- (DE-627)268125503 (DE-600)1471418-8 10959572 nnns volume:282 year:2023 pages:120400- https://doi.org/10.1016/j.neuroimage.2023.120400 kostenfrei https://doaj.org/article/f2b7630147a7472e8d17dc9c5e171f2f kostenfrei http://www.sciencedirect.com/science/article/pii/S1053811923005517 kostenfrei https://doaj.org/toc/1095-9572 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 282 2023 120400-
language	English
source	In NeuroImage 282(2023), Seite 120400- volume:282 year:2023 pages:120400-
sourceStr	In NeuroImage 282(2023), Seite 120400- volume:282 year:2023 pages:120400-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Interpersonal prediction Natural conversation Prediction hierarchy Dual-brain neurocomputation fNIRS Neurosciences. Biological psychiatry. Neuropsychiatry
isfreeaccess_bool	true
container_title	NeuroImage
authorswithroles_txt_mv	Tengfei Zhang @@aut@@ Siyuan Zhou @@aut@@ Xialu Bai @@aut@@ Faxin Zhou @@aut@@ Yu Zhai @@aut@@ Yuhang Long @@aut@@ Chunming Lu @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	268125503
id	DOAJ095206302
language_de	englisch
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callnumber-first	R - Medicine
author	Tengfei Zhang
spellingShingle	Tengfei Zhang misc RC321-571 misc Interpersonal prediction misc Natural conversation misc Prediction hierarchy misc Dual-brain neurocomputation misc fNIRS misc Neurosciences. Biological psychiatry. Neuropsychiatry Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation
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topic_title	RC321-571 Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation Interpersonal prediction Natural conversation Prediction hierarchy Dual-brain neurocomputation fNIRS
topic	misc RC321-571 misc Interpersonal prediction misc Natural conversation misc Prediction hierarchy misc Dual-brain neurocomputation misc fNIRS misc Neurosciences. Biological psychiatry. Neuropsychiatry
topic_unstemmed	misc RC321-571 misc Interpersonal prediction misc Natural conversation misc Prediction hierarchy misc Dual-brain neurocomputation misc fNIRS misc Neurosciences. Biological psychiatry. Neuropsychiatry
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title	Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation
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title_full	Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation
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author_browse	Tengfei Zhang Siyuan Zhou Xialu Bai Faxin Zhou Yu Zhai Yuhang Long Chunming Lu
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title_sort	neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation
callnumber	RC321-571
title_auth	Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation
abstract	Prediction on the partner's speech plays a key role in a smooth conversation. However, previous studies on this issue have been majorly conducted at the single-brain rather than dual-brain level, leaving the interpersonal prediction hypothesis untested. To fill this gap, this study combined a neurocomputational modeling approach with a natural conversation paradigm in which two salespersons persuaded a customer to buy their product with their haemodynamic signals being collected using functional near-infrared spectroscopy hyperscanning. First, the results showed a cognitive hierarchy in a natural conversation, with the lower-level process (i.e., pragmatic representation of the persuasion) in the salesperson interacting with the higher-level process (i.e., value representation of the product) in the customer. Next, we found that the right dorsal lateral prefrontal cortex (rdlPFC) and temporoparietal junction (rTPJ) were associated with the representation of the product's value in the customer, while the right inferior frontal cortex (rIFC) was associated with the representation of the pragmatic processes in the salesperson. Finally, neurocomputational modeling results supported the prediction of the salesperson's lower-level brain activity based on the customer's higher-level brain activity. Moreover, the updating weight of the prediction model based on the neural computation between the rIFC of the salesperson and the rTPJ of the customer was closely associated with the interaction context, whereas that based on the rIFC-rdlPFC was not. In summary, these findings provide initial support for the interpersonal prediction hypothesis at the dual-brain level and reveal a hierarchy for the interpersonal prediction process.
abstractGer	Prediction on the partner's speech plays a key role in a smooth conversation. However, previous studies on this issue have been majorly conducted at the single-brain rather than dual-brain level, leaving the interpersonal prediction hypothesis untested. To fill this gap, this study combined a neurocomputational modeling approach with a natural conversation paradigm in which two salespersons persuaded a customer to buy their product with their haemodynamic signals being collected using functional near-infrared spectroscopy hyperscanning. First, the results showed a cognitive hierarchy in a natural conversation, with the lower-level process (i.e., pragmatic representation of the persuasion) in the salesperson interacting with the higher-level process (i.e., value representation of the product) in the customer. Next, we found that the right dorsal lateral prefrontal cortex (rdlPFC) and temporoparietal junction (rTPJ) were associated with the representation of the product's value in the customer, while the right inferior frontal cortex (rIFC) was associated with the representation of the pragmatic processes in the salesperson. Finally, neurocomputational modeling results supported the prediction of the salesperson's lower-level brain activity based on the customer's higher-level brain activity. Moreover, the updating weight of the prediction model based on the neural computation between the rIFC of the salesperson and the rTPJ of the customer was closely associated with the interaction context, whereas that based on the rIFC-rdlPFC was not. In summary, these findings provide initial support for the interpersonal prediction hypothesis at the dual-brain level and reveal a hierarchy for the interpersonal prediction process.
abstract_unstemmed	Prediction on the partner's speech plays a key role in a smooth conversation. However, previous studies on this issue have been majorly conducted at the single-brain rather than dual-brain level, leaving the interpersonal prediction hypothesis untested. To fill this gap, this study combined a neurocomputational modeling approach with a natural conversation paradigm in which two salespersons persuaded a customer to buy their product with their haemodynamic signals being collected using functional near-infrared spectroscopy hyperscanning. First, the results showed a cognitive hierarchy in a natural conversation, with the lower-level process (i.e., pragmatic representation of the persuasion) in the salesperson interacting with the higher-level process (i.e., value representation of the product) in the customer. Next, we found that the right dorsal lateral prefrontal cortex (rdlPFC) and temporoparietal junction (rTPJ) were associated with the representation of the product's value in the customer, while the right inferior frontal cortex (rIFC) was associated with the representation of the pragmatic processes in the salesperson. Finally, neurocomputational modeling results supported the prediction of the salesperson's lower-level brain activity based on the customer's higher-level brain activity. Moreover, the updating weight of the prediction model based on the neural computation between the rIFC of the salesperson and the rTPJ of the customer was closely associated with the interaction context, whereas that based on the rIFC-rdlPFC was not. In summary, these findings provide initial support for the interpersonal prediction hypothesis at the dual-brain level and reveal a hierarchy for the interpersonal prediction process.
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title_short	Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation
url	https://doi.org/10.1016/j.neuroimage.2023.120400 https://doaj.org/article/f2b7630147a7472e8d17dc9c5e171f2f http://www.sciencedirect.com/science/article/pii/S1053811923005517 https://doaj.org/toc/1095-9572
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