Dissociable intrinsic functional networks support noun-object and verb-action processing

The processing mechanism of verbs-actions and nouns-objects is a central topic of language research, with robust evidence for behavioral dissociation. The neural basis for these two major word and/or conceptual classes, however, remains controversial. Two experiments were conducted to study this que...
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Gespeichert in:

Autor*in:	Yang, Huichao [verfasserIn] Lin, Qixiang [verfasserIn] Han, Zaizhu [verfasserIn] Li, Hongyu [verfasserIn] Song, Luping [verfasserIn] Chen, Lingjuan [verfasserIn] He, Yong [verfasserIn] Bi, Yanchao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Functional connectivity Module Network Nouns Verbs Objects Actions

Übergeordnetes Werk:	Enthalten in: Brain and language - Amsterdam [u.a.] : Elsevier, 1974, 175, Seite 29-41
Übergeordnetes Werk:	volume:175 ; pages:29-41

DOI / URN:	10.1016/j.bandl.2017.08.009

Katalog-ID:	ELV000708216

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520			\|a The processing mechanism of verbs-actions and nouns-objects is a central topic of language research, with robust evidence for behavioral dissociation. The neural basis for these two major word and/or conceptual classes, however, remains controversial. Two experiments were conducted to study this question from the network perspective. Experiment 1 found that nodes of the same class, obtained through task-evoked brain imaging meta-analyses, were more strongly connected with each other than nodes of different classes during resting-state, forming segregated network modules. Experiment 2 examined the behavioral relevance of these intrinsic networks using data from 88 brain-damaged patients, finding that across patients the relative strength of functional connectivity of the two networks significantly correlated with the noun-object vs. verb-action relative behavioral performances. In summary, we found that verbs-actions and nouns-objects are supported by separable intrinsic functional networks and that the integrity of such networks accounts for the relative noun-object- and verb-action-selective deficits.
650		4	\|a Functional connectivity
650		4	\|a Module
650		4	\|a Network
650		4	\|a Nouns
650		4	\|a Verbs
650		4	\|a Objects
650		4	\|a Actions
700	1		\|a Lin, Qixiang \|e verfasserin \|4 aut
700	1		\|a Han, Zaizhu \|e verfasserin \|4 aut
700	1		\|a Li, Hongyu \|e verfasserin \|4 aut
700	1		\|a Song, Luping \|e verfasserin \|4 aut
700	1		\|a Chen, Lingjuan \|e verfasserin \|4 aut
700	1		\|a He, Yong \|e verfasserin \|4 aut
700	1		\|a Bi, Yanchao \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Brain and language \|d Amsterdam [u.a.] : Elsevier, 1974 \|g 175, Seite 29-41 \|h Online-Ressource \|w (DE-627)254633943 \|w (DE-600)1462477-1 \|w (DE-576)104082070 \|x 1090-2155 \|7 nnns
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936	b	k	\|a 44.90 \|j Neurologie
951			\|a AR
952			\|d 175 \|h 29-41

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publishDate	2017
allfields	10.1016/j.bandl.2017.08.009 doi (DE-627)ELV000708216 (ELSEVIER)S0093-934X(16)30138-9 DE-627 ger DE-627 rda eng 400 150 DE-600 LING DE-30 fid 44.90 bkl Yang, Huichao verfasserin aut Dissociable intrinsic functional networks support noun-object and verb-action processing 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The processing mechanism of verbs-actions and nouns-objects is a central topic of language research, with robust evidence for behavioral dissociation. The neural basis for these two major word and/or conceptual classes, however, remains controversial. Two experiments were conducted to study this question from the network perspective. Experiment 1 found that nodes of the same class, obtained through task-evoked brain imaging meta-analyses, were more strongly connected with each other than nodes of different classes during resting-state, forming segregated network modules. Experiment 2 examined the behavioral relevance of these intrinsic networks using data from 88 brain-damaged patients, finding that across patients the relative strength of functional connectivity of the two networks significantly correlated with the noun-object vs. verb-action relative behavioral performances. In summary, we found that verbs-actions and nouns-objects are supported by separable intrinsic functional networks and that the integrity of such networks accounts for the relative noun-object- and verb-action-selective deficits. Functional connectivity Module Network Nouns Verbs Objects Actions Lin, Qixiang verfasserin aut Han, Zaizhu verfasserin aut Li, Hongyu verfasserin aut Song, Luping verfasserin aut Chen, Lingjuan verfasserin aut He, Yong verfasserin aut Bi, Yanchao verfasserin aut Enthalten in Brain and language Amsterdam [u.a.] : Elsevier, 1974 175, Seite 29-41 Online-Ressource (DE-627)254633943 (DE-600)1462477-1 (DE-576)104082070 1090-2155 nnns volume:175 pages:29-41 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-LING SSG-OPC-ANG GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.90 Neurologie AR 175 29-41
spelling	10.1016/j.bandl.2017.08.009 doi (DE-627)ELV000708216 (ELSEVIER)S0093-934X(16)30138-9 DE-627 ger DE-627 rda eng 400 150 DE-600 LING DE-30 fid 44.90 bkl Yang, Huichao verfasserin aut Dissociable intrinsic functional networks support noun-object and verb-action processing 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The processing mechanism of verbs-actions and nouns-objects is a central topic of language research, with robust evidence for behavioral dissociation. The neural basis for these two major word and/or conceptual classes, however, remains controversial. Two experiments were conducted to study this question from the network perspective. Experiment 1 found that nodes of the same class, obtained through task-evoked brain imaging meta-analyses, were more strongly connected with each other than nodes of different classes during resting-state, forming segregated network modules. Experiment 2 examined the behavioral relevance of these intrinsic networks using data from 88 brain-damaged patients, finding that across patients the relative strength of functional connectivity of the two networks significantly correlated with the noun-object vs. verb-action relative behavioral performances. In summary, we found that verbs-actions and nouns-objects are supported by separable intrinsic functional networks and that the integrity of such networks accounts for the relative noun-object- and verb-action-selective deficits. Functional connectivity Module Network Nouns Verbs Objects Actions Lin, Qixiang verfasserin aut Han, Zaizhu verfasserin aut Li, Hongyu verfasserin aut Song, Luping verfasserin aut Chen, Lingjuan verfasserin aut He, Yong verfasserin aut Bi, Yanchao verfasserin aut Enthalten in Brain and language Amsterdam [u.a.] : Elsevier, 1974 175, Seite 29-41 Online-Ressource (DE-627)254633943 (DE-600)1462477-1 (DE-576)104082070 1090-2155 nnns volume:175 pages:29-41 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-LING SSG-OPC-ANG GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.90 Neurologie AR 175 29-41
allfields_unstemmed	10.1016/j.bandl.2017.08.009 doi (DE-627)ELV000708216 (ELSEVIER)S0093-934X(16)30138-9 DE-627 ger DE-627 rda eng 400 150 DE-600 LING DE-30 fid 44.90 bkl Yang, Huichao verfasserin aut Dissociable intrinsic functional networks support noun-object and verb-action processing 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The processing mechanism of verbs-actions and nouns-objects is a central topic of language research, with robust evidence for behavioral dissociation. The neural basis for these two major word and/or conceptual classes, however, remains controversial. Two experiments were conducted to study this question from the network perspective. Experiment 1 found that nodes of the same class, obtained through task-evoked brain imaging meta-analyses, were more strongly connected with each other than nodes of different classes during resting-state, forming segregated network modules. Experiment 2 examined the behavioral relevance of these intrinsic networks using data from 88 brain-damaged patients, finding that across patients the relative strength of functional connectivity of the two networks significantly correlated with the noun-object vs. verb-action relative behavioral performances. In summary, we found that verbs-actions and nouns-objects are supported by separable intrinsic functional networks and that the integrity of such networks accounts for the relative noun-object- and verb-action-selective deficits. Functional connectivity Module Network Nouns Verbs Objects Actions Lin, Qixiang verfasserin aut Han, Zaizhu verfasserin aut Li, Hongyu verfasserin aut Song, Luping verfasserin aut Chen, Lingjuan verfasserin aut He, Yong verfasserin aut Bi, Yanchao verfasserin aut Enthalten in Brain and language Amsterdam [u.a.] : Elsevier, 1974 175, Seite 29-41 Online-Ressource (DE-627)254633943 (DE-600)1462477-1 (DE-576)104082070 1090-2155 nnns volume:175 pages:29-41 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-LING SSG-OPC-ANG GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.90 Neurologie AR 175 29-41
allfieldsGer	10.1016/j.bandl.2017.08.009 doi (DE-627)ELV000708216 (ELSEVIER)S0093-934X(16)30138-9 DE-627 ger DE-627 rda eng 400 150 DE-600 LING DE-30 fid 44.90 bkl Yang, Huichao verfasserin aut Dissociable intrinsic functional networks support noun-object and verb-action processing 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The processing mechanism of verbs-actions and nouns-objects is a central topic of language research, with robust evidence for behavioral dissociation. The neural basis for these two major word and/or conceptual classes, however, remains controversial. Two experiments were conducted to study this question from the network perspective. Experiment 1 found that nodes of the same class, obtained through task-evoked brain imaging meta-analyses, were more strongly connected with each other than nodes of different classes during resting-state, forming segregated network modules. Experiment 2 examined the behavioral relevance of these intrinsic networks using data from 88 brain-damaged patients, finding that across patients the relative strength of functional connectivity of the two networks significantly correlated with the noun-object vs. verb-action relative behavioral performances. In summary, we found that verbs-actions and nouns-objects are supported by separable intrinsic functional networks and that the integrity of such networks accounts for the relative noun-object- and verb-action-selective deficits. Functional connectivity Module Network Nouns Verbs Objects Actions Lin, Qixiang verfasserin aut Han, Zaizhu verfasserin aut Li, Hongyu verfasserin aut Song, Luping verfasserin aut Chen, Lingjuan verfasserin aut He, Yong verfasserin aut Bi, Yanchao verfasserin aut Enthalten in Brain and language Amsterdam [u.a.] : Elsevier, 1974 175, Seite 29-41 Online-Ressource (DE-627)254633943 (DE-600)1462477-1 (DE-576)104082070 1090-2155 nnns volume:175 pages:29-41 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-LING SSG-OPC-ANG GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.90 Neurologie AR 175 29-41
allfieldsSound	10.1016/j.bandl.2017.08.009 doi (DE-627)ELV000708216 (ELSEVIER)S0093-934X(16)30138-9 DE-627 ger DE-627 rda eng 400 150 DE-600 LING DE-30 fid 44.90 bkl Yang, Huichao verfasserin aut Dissociable intrinsic functional networks support noun-object and verb-action processing 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The processing mechanism of verbs-actions and nouns-objects is a central topic of language research, with robust evidence for behavioral dissociation. The neural basis for these two major word and/or conceptual classes, however, remains controversial. Two experiments were conducted to study this question from the network perspective. Experiment 1 found that nodes of the same class, obtained through task-evoked brain imaging meta-analyses, were more strongly connected with each other than nodes of different classes during resting-state, forming segregated network modules. Experiment 2 examined the behavioral relevance of these intrinsic networks using data from 88 brain-damaged patients, finding that across patients the relative strength of functional connectivity of the two networks significantly correlated with the noun-object vs. verb-action relative behavioral performances. In summary, we found that verbs-actions and nouns-objects are supported by separable intrinsic functional networks and that the integrity of such networks accounts for the relative noun-object- and verb-action-selective deficits. Functional connectivity Module Network Nouns Verbs Objects Actions Lin, Qixiang verfasserin aut Han, Zaizhu verfasserin aut Li, Hongyu verfasserin aut Song, Luping verfasserin aut Chen, Lingjuan verfasserin aut He, Yong verfasserin aut Bi, Yanchao verfasserin aut Enthalten in Brain and language Amsterdam [u.a.] : Elsevier, 1974 175, Seite 29-41 Online-Ressource (DE-627)254633943 (DE-600)1462477-1 (DE-576)104082070 1090-2155 nnns volume:175 pages:29-41 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-LING SSG-OPC-ANG GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.90 Neurologie AR 175 29-41
language	English
source	Enthalten in Brain and language 175, Seite 29-41 volume:175 pages:29-41
sourceStr	Enthalten in Brain and language 175, Seite 29-41 volume:175 pages:29-41
format_phy_str_mv	Article
bklname	Neurologie
institution	findex.gbv.de
topic_facet	Functional connectivity Module Network Nouns Verbs Objects Actions
dewey-raw	400
isfreeaccess_bool	false
container_title	Brain and language
authorswithroles_txt_mv	Yang, Huichao @@aut@@ Lin, Qixiang @@aut@@ Han, Zaizhu @@aut@@ Li, Hongyu @@aut@@ Song, Luping @@aut@@ Chen, Lingjuan @@aut@@ He, Yong @@aut@@ Bi, Yanchao @@aut@@
publishDateDaySort_date	2017-01-01T00:00:00Z
hierarchy_top_id	254633943
dewey-sort	3400
id	ELV000708216
language_de	englisch
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author	Yang, Huichao
spellingShingle	Yang, Huichao ddc 400 fid LING bkl 44.90 misc Functional connectivity misc Module misc Network misc Nouns misc Verbs misc Objects misc Actions Dissociable intrinsic functional networks support noun-object and verb-action processing
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topic_title	400 150 DE-600 LING DE-30 fid 44.90 bkl Dissociable intrinsic functional networks support noun-object and verb-action processing Functional connectivity Module Network Nouns Verbs Objects Actions
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title	Dissociable intrinsic functional networks support noun-object and verb-action processing
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title_full	Dissociable intrinsic functional networks support noun-object and verb-action processing
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title_sort	dissociable intrinsic functional networks support noun-object and verb-action processing
title_auth	Dissociable intrinsic functional networks support noun-object and verb-action processing
abstract	The processing mechanism of verbs-actions and nouns-objects is a central topic of language research, with robust evidence for behavioral dissociation. The neural basis for these two major word and/or conceptual classes, however, remains controversial. Two experiments were conducted to study this question from the network perspective. Experiment 1 found that nodes of the same class, obtained through task-evoked brain imaging meta-analyses, were more strongly connected with each other than nodes of different classes during resting-state, forming segregated network modules. Experiment 2 examined the behavioral relevance of these intrinsic networks using data from 88 brain-damaged patients, finding that across patients the relative strength of functional connectivity of the two networks significantly correlated with the noun-object vs. verb-action relative behavioral performances. In summary, we found that verbs-actions and nouns-objects are supported by separable intrinsic functional networks and that the integrity of such networks accounts for the relative noun-object- and verb-action-selective deficits.
abstractGer	The processing mechanism of verbs-actions and nouns-objects is a central topic of language research, with robust evidence for behavioral dissociation. The neural basis for these two major word and/or conceptual classes, however, remains controversial. Two experiments were conducted to study this question from the network perspective. Experiment 1 found that nodes of the same class, obtained through task-evoked brain imaging meta-analyses, were more strongly connected with each other than nodes of different classes during resting-state, forming segregated network modules. Experiment 2 examined the behavioral relevance of these intrinsic networks using data from 88 brain-damaged patients, finding that across patients the relative strength of functional connectivity of the two networks significantly correlated with the noun-object vs. verb-action relative behavioral performances. In summary, we found that verbs-actions and nouns-objects are supported by separable intrinsic functional networks and that the integrity of such networks accounts for the relative noun-object- and verb-action-selective deficits.
abstract_unstemmed	The processing mechanism of verbs-actions and nouns-objects is a central topic of language research, with robust evidence for behavioral dissociation. The neural basis for these two major word and/or conceptual classes, however, remains controversial. Two experiments were conducted to study this question from the network perspective. Experiment 1 found that nodes of the same class, obtained through task-evoked brain imaging meta-analyses, were more strongly connected with each other than nodes of different classes during resting-state, forming segregated network modules. Experiment 2 examined the behavioral relevance of these intrinsic networks using data from 88 brain-damaged patients, finding that across patients the relative strength of functional connectivity of the two networks significantly correlated with the noun-object vs. verb-action relative behavioral performances. In summary, we found that verbs-actions and nouns-objects are supported by separable intrinsic functional networks and that the integrity of such networks accounts for the relative noun-object- and verb-action-selective deficits.
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title_short	Dissociable intrinsic functional networks support noun-object and verb-action processing
remote_bool	true
author2	Lin, Qixiang Han, Zaizhu Li, Hongyu Song, Luping Chen, Lingjuan He, Yong Bi, Yanchao
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up_date	2024-07-06T18:53:58.279Z
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Dissociable intrinsic functional networks support noun-object and verb-action processing

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