Uncovering cortical activations of discourse comprehension and their overlaps with common large-scale neural networks

Yang, Xiaohong; Li, Huijie; Lin, Nan; Zhang, Xiuping; Wang, Yinshan; Zhang, Ying; Zhang, Qian; Zuo, Xi‐Nian; Yang, Yufang

doi:10.1016/j.neuroimage.2019.116200

Cited by 25 publications

(28 citation statements)

References 117 publications

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“…In the stage of study selection, we adopted a relatively strict criterion and excluded the studies using low-level baseline conditions such as fixation presentation. After subtracting adequate baseline conditions, discourse inferences still activated the core brain regions of language processing (i.e., IFG and MTG), which is congruent with a previous meta-analysis based on eight studies (Yang et al, 2019 ). Specifically, the left IFG was well-known as a core region of syntactic and semantic processing such as grammatical categorization (Ni et al, 2000 ), syntax parsing (Friederici and Kotz, 2003 ), semantic information retrieval (Wagner et al, 2001 ), semantic selection (Thompson-Schill et al, 1997 ; Kan and Thompson-Schill, 2004 ), and semantic unification (Hagoort et al, 2004 ; Zhu et al, 2012 ) while the left MTG was found to be associated with semantic processing (Xu et al, 2005 ; Binder et al, 2009 ; Visser and Lambon Ralph, 2011 ), especially a fine semantic activation that supports the processing of semantic integration [see Jung-Beeman ( 2005 ) for a review].…”

Section: Discussionsupporting

confidence: 89%

“…This search generated 986 articles in the Web of Science database and 734 articles in the PubMed database. In order to avoid omission, we additionally considered the studies in the relevant meta-analyses (Prado et al, 2011;Yang et al, 2019;Wertheim and Ragni, 2020) and reviews (e.g., Barbey and Patterson, 2011;Virtue and Sundermeier, 2016;Brascamp et al, 2018;Wang et al, 2018), and the studies that cited those meta-analyses and reviews.…”

Section: Elaborative Inferencementioning

confidence: 99%

See 1 more Smart Citation

Neural Correlates of Causal Inferences in Discourse Understanding and Logical Problem-Solving: A Meta-Analysis Study

Feng

Wang

Liu

et al. 2021

Front. Hum. Neurosci.

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In discourse comprehension, we need to draw inferences to make sense of discourse. Previous neuroimaging studies have investigated the neural correlates of causal inferences in discourse understanding. However, these findings have been divergent, and how these types of inferences are related to causal inferences in logical problem-solving remains unclear. Using the activation likelihood estimation (ALE) approach, the current meta-analysis analyzed 19 experiments on causal inferences in discourse understanding and 20 experiments on those in logical problem-solving to identify the neural correlates of these two cognitive processes and their shared and distinct neural correlates. We found that causal inferences in discourse comprehension recruited a left-lateralized frontotemporal brain system, including the left inferior frontal gyrus, the left middle temporal gyrus (MTG), and the bilateral medial prefrontal cortex (MPFC), while causal inferences in logical problem-solving engaged a nonoverlapping brain system in the frontal and parietal cortex, including the left inferior frontal gyrus, the bilateral middle frontal gyri, the dorsal MPFC, and the left inferior parietal lobule (IPL). Furthermore, the pattern similarity analyses showed that causal inferences in discourse understanding were primarily related to the terms about language processing and theory-of-mind processing. Both types of inferences were found to be related to the terms about memory and executive function. These findings suggest that causal inferences in discourse understanding recruit distinct neural bases from those in logical problem-solving and rely more on semantic knowledge and social interaction experiences.

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Section: Discussionsupporting

confidence: 89%

Section: Elaborative Inferencementioning

confidence: 99%

Neural Correlates of Causal Inferences in Discourse Understanding and Logical Problem-Solving: A Meta-Analysis Study

Feng

Wang

Liu

et al. 2021

Front. Hum. Neurosci.

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“…Although these areas were seldom reported in previous studies of sentence and discourse comprehension ( Walenski et al. , 2019 ; Yang et al. , 2019 ), a recent study has reported their selective activation in reading vivid passages ( Tamir et al.…”

Section: Discussionmentioning

confidence: 87%

The brain network in support of social semantic accumulation

Zhang

et al. 2021

Social Cognitive and Affective Neuroscience

Self Cite

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Some studies have indicated that a specific ‘social semantic network’ represents the social meanings of words. However, studies of the comprehension of complex materials, such as sentences and narratives, have indicated that the same network supports the online accumulation of connected semantic information. In this study, we examined the hypothesis that this network does not simply represent the social meanings of words but also accumulates connected social meanings from texts. We defined the social semantic network by conducting a meta-analysis of previous studies on social semantic processing and then examined the effects of social semantic accumulation using a functional Magnetic Resonance Imaging (fMRI) experiment. Two important findings were obtained. First, the social semantic network showed a stronger social semantic effect in sentence and narrative reading than in word list reading, indicating the amplitude of social semantic activation can be accumulated in the network. Second, the activation of the social semantic network in sentence and narrative reading can be better explained by the holistic social-semantic-richness rating scores of the stimuli than by those of the constitutive words, indicating the social semantic contents can be integrated in the network. These two findings convergently indicate that the social semantic network supports the accumulation of connected social meanings.

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“…Previous volumetric brain template studies have shown that the anatomical differences between the Chinese and Caucasian volumetric templates are largely located in parts of Wernicke's and Broca's areas. Moreover, Yang et al () found that the default network was central and most pervasively related to discourse comprehension and that the language network overlapped with the default network. Thus, the absolute areal distortion results in the present study, which showed that the greatest differences were in the default network, are somehow matched with those in previous studies and indicated that the Chinese and Caucasian template differences in the language network may also exist in brain cortical surface morphology.…”

Section: Discussionmentioning

confidence: 99%

Constructing and evaluating a cortical surface atlas and analyzing cortical sex differences in young Chinese adults

Yang

Božek

Han

et al. 2020

Human Brain Mapping

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Cortical surface templates are an important standardized coordinate frame for cortical structure and function analysis in magnetic resonance (MR) imaging studies. The widely used adult cortical surface templates (e.g., fsaverage, Conte69, and the HCP-MMP atlas) are based on the Caucasian population. Neuroanatomical differences related to environmental and genetic factors between Chinese and Caucasian populations make these templates unideal for analysis of the cortex in the Chinese population. We used a multimodal surface matching algorithm in an iterative procedure to create Chinese (sCN200) and Caucasian (sUS200) cortical surface atlases based on 200 demographically matched high-quality T1-and T2-weighted (T1w and T2w, respectively) MR images from the Chinese Human Connectome Project (CHCP) and the Human Connectome Project (HCP), respectively. Templates for anatomical cortical surfaces (white matter, pial, midthickness) and cortical feature maps of sulcal depth, curvature, thickness, T1w/T2w myelin, and cortical labels were generated.Using independent subsets from the CHCP and the HCP, we quantified the accuracy of cortical registration when using population-matched and mismatched atlases. The performance of the cortical registration and accuracy of curvature alignment when using population-matched atlases was significantly improved, thereby demonstrating the importance of using the sCN200 cortical surface atlas for Chinese adult population studies. Finally, we analyzed female and male cortical differences within the Chinese and Caucasian populations. We identified significant between-sex differences in cortical curvature, sulcal depth, thickness, and T1w/T2w myelin maps in the frontal, temporal, parietal, occipital, and insular lobes as well as the cingulate cortices. K E Y W O R D S CHCP, Chinese adult, cortical surface templates, HCP, MRI, MSM

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Uncovering cortical activations of discourse comprehension and their overlaps with common large-scale neural networks

Cited by 25 publications

References 117 publications

Neural Correlates of Causal Inferences in Discourse Understanding and Logical Problem-Solving: A Meta-Analysis Study

Neural Correlates of Causal Inferences in Discourse Understanding and Logical Problem-Solving: A Meta-Analysis Study

The brain network in support of social semantic accumulation

Constructing and evaluating a cortical surface atlas and analyzing cortical sex differences in young Chinese adults

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