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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Gespeichert in:

Autor*in:	Zhang, Tengfei [verfasserIn] Zhou, Siyuan [verfasserIn] Bai, Xialu [verfasserIn] Zhou, Faxin [verfasserIn] Zhai, Yu [verfasserIn] Long, Yuhang [verfasserIn] Lu, Chunming [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

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

Übergeordnetes Werk:	Enthalten in: NeuroImage - Orlando, Fla. : Academic Press, 1992, 282
Übergeordnetes Werk:	volume:282

DOI / URN:	10.1016/j.neuroimage.2023.120400

Katalog-ID:	ELV065308522

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520			\|a 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.
650		4	\|a Interpersonal prediction
650		4	\|a Natural conversation
650		4	\|a Prediction hierarchy
650		4	\|a Dual-brain neurocomputation
650		4	\|a fNIRS
700	1		\|a Zhou, Siyuan \|e verfasserin \|0 (orcid)0000-0001-8023-2415 \|4 aut
700	1		\|a Bai, Xialu \|e verfasserin \|4 aut
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700	1		\|a Zhai, Yu \|e verfasserin \|4 aut
700	1		\|a Long, Yuhang \|e verfasserin \|4 aut
700	1		\|a Lu, Chunming \|e verfasserin \|0 (orcid)0000-0002-0040-0587 \|4 aut
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Indexfelder

author_variant	t z tz s z sz x b xb f z fz y z yz y l yl c l cl
matchkey_str	article:10959572:2023----::ercmuainodabaninludriitresnlrdcinu
hierarchy_sort_str	2023
bklnumber	44.64 44.90
publishDate	2023
allfields	10.1016/j.neuroimage.2023.120400 doi (DE-627)ELV065308522 (ELSEVIER)S1053-8119(23)00551-7 DE-627 ger DE-627 rda eng 610 VZ LING DE-30 fid 44.64 bkl 44.90 bkl Zhang, Tengfei verfasserin aut Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation 2023 nicht spezifiziert zzz 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 Zhou, Siyuan verfasserin (orcid)0000-0001-8023-2415 aut Bai, Xialu verfasserin aut Zhou, Faxin verfasserin (orcid)0000-0003-2701-9185 aut Zhai, Yu verfasserin aut Long, Yuhang verfasserin aut Lu, Chunming verfasserin (orcid)0000-0002-0040-0587 aut Enthalten in NeuroImage Orlando, Fla. : Academic Press, 1992 282 Online-Ressource (DE-627)268125503 (DE-600)1471418-8 (DE-576)106869507 1095-9572 nnns volume:282 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OLC-PHA 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 44.64 Radiologie VZ 44.90 Neurologie VZ AR 282
spelling	10.1016/j.neuroimage.2023.120400 doi (DE-627)ELV065308522 (ELSEVIER)S1053-8119(23)00551-7 DE-627 ger DE-627 rda eng 610 VZ LING DE-30 fid 44.64 bkl 44.90 bkl Zhang, Tengfei verfasserin aut Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation 2023 nicht spezifiziert zzz 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 Zhou, Siyuan verfasserin (orcid)0000-0001-8023-2415 aut Bai, Xialu verfasserin aut Zhou, Faxin verfasserin (orcid)0000-0003-2701-9185 aut Zhai, Yu verfasserin aut Long, Yuhang verfasserin aut Lu, Chunming verfasserin (orcid)0000-0002-0040-0587 aut Enthalten in NeuroImage Orlando, Fla. : Academic Press, 1992 282 Online-Ressource (DE-627)268125503 (DE-600)1471418-8 (DE-576)106869507 1095-9572 nnns volume:282 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OLC-PHA 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 44.64 Radiologie VZ 44.90 Neurologie VZ AR 282
allfields_unstemmed	10.1016/j.neuroimage.2023.120400 doi (DE-627)ELV065308522 (ELSEVIER)S1053-8119(23)00551-7 DE-627 ger DE-627 rda eng 610 VZ LING DE-30 fid 44.64 bkl 44.90 bkl Zhang, Tengfei verfasserin aut Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation 2023 nicht spezifiziert zzz 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 Zhou, Siyuan verfasserin (orcid)0000-0001-8023-2415 aut Bai, Xialu verfasserin aut Zhou, Faxin verfasserin (orcid)0000-0003-2701-9185 aut Zhai, Yu verfasserin aut Long, Yuhang verfasserin aut Lu, Chunming verfasserin (orcid)0000-0002-0040-0587 aut Enthalten in NeuroImage Orlando, Fla. : Academic Press, 1992 282 Online-Ressource (DE-627)268125503 (DE-600)1471418-8 (DE-576)106869507 1095-9572 nnns volume:282 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OLC-PHA 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 44.64 Radiologie VZ 44.90 Neurologie VZ AR 282
allfieldsGer	10.1016/j.neuroimage.2023.120400 doi (DE-627)ELV065308522 (ELSEVIER)S1053-8119(23)00551-7 DE-627 ger DE-627 rda eng 610 VZ LING DE-30 fid 44.64 bkl 44.90 bkl Zhang, Tengfei verfasserin aut Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation 2023 nicht spezifiziert zzz 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 Zhou, Siyuan verfasserin (orcid)0000-0001-8023-2415 aut Bai, Xialu verfasserin aut Zhou, Faxin verfasserin (orcid)0000-0003-2701-9185 aut Zhai, Yu verfasserin aut Long, Yuhang verfasserin aut Lu, Chunming verfasserin (orcid)0000-0002-0040-0587 aut Enthalten in NeuroImage Orlando, Fla. : Academic Press, 1992 282 Online-Ressource (DE-627)268125503 (DE-600)1471418-8 (DE-576)106869507 1095-9572 nnns volume:282 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OLC-PHA 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 44.64 Radiologie VZ 44.90 Neurologie VZ AR 282
allfieldsSound	10.1016/j.neuroimage.2023.120400 doi (DE-627)ELV065308522 (ELSEVIER)S1053-8119(23)00551-7 DE-627 ger DE-627 rda eng 610 VZ LING DE-30 fid 44.64 bkl 44.90 bkl Zhang, Tengfei verfasserin aut Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation 2023 nicht spezifiziert zzz 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 Zhou, Siyuan verfasserin (orcid)0000-0001-8023-2415 aut Bai, Xialu verfasserin aut Zhou, Faxin verfasserin (orcid)0000-0003-2701-9185 aut Zhai, Yu verfasserin aut Long, Yuhang verfasserin aut Lu, Chunming verfasserin (orcid)0000-0002-0040-0587 aut Enthalten in NeuroImage Orlando, Fla. : Academic Press, 1992 282 Online-Ressource (DE-627)268125503 (DE-600)1471418-8 (DE-576)106869507 1095-9572 nnns volume:282 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OLC-PHA 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 44.64 Radiologie VZ 44.90 Neurologie VZ AR 282
language	English
source	Enthalten in NeuroImage 282 volume:282
sourceStr	Enthalten in NeuroImage 282 volume:282
format_phy_str_mv	Article
bklname	Radiologie Neurologie
institution	findex.gbv.de
topic_facet	Interpersonal prediction Natural conversation Prediction hierarchy Dual-brain neurocomputation fNIRS
dewey-raw	610
isfreeaccess_bool	false
container_title	NeuroImage
authorswithroles_txt_mv	Zhang, Tengfei @@aut@@ Zhou, Siyuan @@aut@@ Bai, Xialu @@aut@@ Zhou, Faxin @@aut@@ Zhai, Yu @@aut@@ Long, Yuhang @@aut@@ Lu, Chunming @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	268125503
dewey-sort	3610
id	ELV065308522
language_de	englisch
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author	Zhang, Tengfei
spellingShingle	Zhang, Tengfei ddc 610 fid LING bkl 44.64 bkl 44.90 misc Interpersonal prediction misc Natural conversation misc Prediction hierarchy misc Dual-brain neurocomputation misc fNIRS Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation
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topic_title	610 VZ LING DE-30 fid 44.64 bkl 44.90 bkl Neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation Interpersonal prediction Natural conversation Prediction hierarchy Dual-brain neurocomputation fNIRS
topic	ddc 610 fid LING bkl 44.64 bkl 44.90 misc Interpersonal prediction misc Natural conversation misc Prediction hierarchy misc Dual-brain neurocomputation misc fNIRS
topic_unstemmed	ddc 610 fid LING bkl 44.64 bkl 44.90 misc Interpersonal prediction misc Natural conversation misc Prediction hierarchy misc Dual-brain neurocomputation misc fNIRS
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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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title_sort	neurocomputations on dual-brain signals underlie interpersonal prediction during a natural conversation
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
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author2	Zhou, Siyuan Bai, Xialu Zhou, Faxin Zhai, Yu Long, Yuhang Lu, Chunming
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up_date	2024-07-06T22:34:41.354Z
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