2020
DOI: 10.1007/s00429-020-02052-3
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Dissociating the neural correlates of the sociality and plausibility effects in simple conceptual combination

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Cited by 17 publications
(13 citation statements)
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“…The last view regarding the function of the DMN in semantic processes holds that the DMN consists of multiple subnetworks that support different aspects of semantic processes separately (Huth et al 2016;Lin et al 2020). We refer to this view as the multisystem view of the DMN.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The last view regarding the function of the DMN in semantic processes holds that the DMN consists of multiple subnetworks that support different aspects of semantic processes separately (Huth et al 2016;Lin et al 2020). We refer to this view as the multisystem view of the DMN.…”
Section: Introductionmentioning
confidence: 99%
“…Later, using a semantic plausibility judgment task, Lin et al (2020) further found that another set of regions, which also overlaps with the DMN, is sensitive to the semantic plausibility of phrases. Again, the AG and its surrounding areas showed complex functional dissociation, with the anterior dorsal part being sensitive to semantic plausibility, the anterior ventral part being sensitive to social semantic processing, the posterior part being sensitive to sensory-motor semantic processing, and the middle ventral part being sensitive to both social and sensory-motor semantic processing (Lin et al 2020). In summary, these studies have collectively indicated that different parts of the DMN are sensitive to different aspects of semantic processing.…”
Section: Introductionmentioning
confidence: 99%
“…However, studies have shown that preferential left hemisphere dorsolateral/polar ATL activation cannot be easily explained by differences in concreteness, or at least imageability, between social concepts and control categories [38,64,65,71], nor by differing degrees of multiplicity of single word meanings (sometimes referred to as 'semantic diversity' [72]) [38]. A putative involvement of these regions in combinatorial conceptual processes does also not appear to explain differential engagement by social and non-social concepts [73,74]. Many of these studies have also been careful to rule out explanations in terms of fundamental lexical properties such as word frequency or syllable/word length [38,64,65,68].…”
Section: Part B -Socialness Concepts and The Brainmentioning
confidence: 99%
“…To illustrate this point, we have collected examples in Table 1 (also see [35]). Many of these studies focused on a word's reference to social interaction by measuring, for example, the extent to which a concept refers to relationships between people [23,24] or how often its referent involves interaction between people [64,65,71,74]. In contrast, other definitions emphasize specific aspects of social experience, such as how well a concept describes social behaviours [36], or the degree to which concepts relate to the relationship between self and others [102].…”
Section: Part C -What Is 'Socialness'?mentioning
confidence: 99%
“…Previous studies of conceptual combination have endeavored to uncover the neural basis of understanding multiword phrases/sentences (see review in Frankland and Greene 2020) and understanding multi-object scenes (Baeck et al 2013;Baldassano et al 2017;Kaiser and Peelen 2018;Walbrin and Koldewyn 2019). Using language, mostly with adjective-noun phrases (e.g., red boat), researchers found that the bilateral angular gyrus (AG; Bemis and Pylkkänen 2013;Forgács et al 2012;Graves et al 2010;Lin et al 2020;Pallier et al 2011;Price et al 2015;Price et al 2016) and anterior temporal lobe (ATL; Bemis and Pylkkänen 2011;Pallier et al 2011;Pylkkänen et al 2014;Westerlund et al 2015;Westerlund and Pylkkänen 2014) play important semantic composition roles in contrasts between meaningful and non-meaningful word pairs (e.g., activation for "red boat" > for "xkq boat" or "plaid jacket" > "moss pony"). Lin et al (2020) examined verb-noun phrases and revealed two adjacently distributed subnetworks for sociality semantic and semantic combinations using similar univariate contrasts.…”
Section: Introductionmentioning
confidence: 99%