Neural correlates of merging number words

Hung, Yi Hui; Pallier, Christophe; Dehaene, Stanislas; Lin, Yi; Chang, Acer; Tzeng, Ovid J.L.; Wu, Dazhong

doi:10.1016/j.neuroimage.2015.07.045

Cited by 26 publications

(39 citation statements)

References 41 publications

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“…Similarly, it was observed that Broca’s area was commonly engaged in processing structural hierarchy of linguistic and mathematical stimuli [ 29 ]. Consistently, previous research in our lab reported a parametric effect of merging increasingly larger Chinese and French numeric constituents in left IFG and left IPL regions [ 30 ]. The present study also associated left IFG with compounding; that is, merging characters to form words, but not with merging words to form sentences, which elicited stronger activation in anterior temporal region.…”

Section: Discussionsupporting

confidence: 89%

“…For ROI analysis, seven regions of interest (IFG orbitalis, IFG triangularis, IFG opercularis, temporal pole (TP), anterior superior temporal sulcus (STS), posterior STS, temporo-parietal junction (TPJ)) were selected following one previous study on merging constituents in meaningful and meaningless French stimuli [ 4 ]. These regions were associated with merging linguistic constituents in French [ 4 ], and were also adopted by previous research in our lab to show that a subset of these regions are involved in merging numeric constituents in French and Chinese [ 30 ]. Since the present experiment also manipulated the size of linguistic constituents, with characters as individual constituents which can be combined into larger constituents as words and sentences, the same ROIs were used.…”

Section: Resultsmentioning

confidence: 99%

“…Application of this mask did not affect the p -values [ 45 ]. In addition to whole brain analysis, regions of interest (ROI) analysis was conducted on seven brain regions obtained from [ 30 ].…”

Section: Methodsmentioning

confidence: 99%

“…However, this region has also been associated with the processing of non-linguistic stimuli. For example, left IFG has been linked to structure building in music [ 28 ], processing structural hierarchy of mathematical stimuli [ 29 ], and merging number words in Chinese and French [ 30 ]. Nevertheless, other studies also reported selective or specialized response of left IFG to syntactic processing of linguistic stimuli [ 31 , 32 ].…”

Section: Introductionmentioning

confidence: 99%

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Neural correlates of processing sentences and compound words in Chinese

et al. 2017

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Sentence reading involves multiple linguistic operations including processing of lexical and compositional semantics, and determining structural and grammatical relationships among words. Previous studies on Indo-European languages have associated left anterior temporal lobe (aTL) and left interior frontal gyrus (IFG) with reading sentences compared to reading unstructured word lists. To examine whether these brain regions are also involved in reading a typologically distinct language with limited morphosyntax and lack of agreement between sentential arguments, an FMRI study was conducted to compare passive reading of Chinese sentences, unstructured word lists and disconnected character lists that are created by only changing the order of an identical set of characters. Similar to previous findings from other languages, stronger activation was found in mainly left-lateralized anterior temporal regions (including aTL) for reading sentences compared to unstructured word and character lists. On the other hand, stronger activation was identified in left posterior temporal sulcus for reading unstructured words compared to unstructured characters. Furthermore, reading unstructured word lists compared to sentences evoked stronger activation in left IFG and left inferior parietal lobule. Consistent with the literature on Indo-European languages, the present results suggest that left anterior temporal regions subserve sentence-level integration, while left IFG supports restoration of sentence structure. In addition, left posterior temporal sulcus is associated with morphological compounding. Taken together, reading Chinese sentences engages a common network as reading other languages, with particular reliance on integration of semantic constituents.

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Section: Discussionsupporting

confidence: 89%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Neural correlates of processing sentences and compound words in Chinese

et al. 2017

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“…More recently, however, the method has been adapted in a principled manner to the study of language processing by Fedorenko et al (2010), who argued for its superiority over existing practices on both theoretical (Nieto-Castañón & Fedorenko, 2012; see also Saxe et al, 2006) and empirical (e.g., Blank et al, 2016) grounds. Consequently, it has been increasingly employed to revisit, refine and, often, challenge traditional views on the language-processing architecture (Axelrod, Bar, Rees, & Yovel, 2015; Basilakos, Smith, Fillmore, Fridriksson, & Fedorenko, 2017; Blank, Kanwisher, & Fedorenko, 2014; Chai, Mattar, Blank, Fedorenko, & Bassett, 2016; Deen et al, 2015; Fedorenko et al, 2011; Fedorenko, Duncan, et al, 2012; Fedorenko, Fillmore, Smith, Bonilha, & Fridriksson, 2015; Fedorenko, McDermott, Norman-Haignere, & Kanwisher, 2012; Fedorenko, Nieto-Castañón, & Kanwisher, 2012a; Fedorenko et al, 2016; Humphreys & Gennari, 2014; Hung et al, 2015; Mahowald & Fedorenko, 2016; Overath, McDermott, Zarate, & Poeppel, 2015; Prado, Mutreja, & Booth, 2013; Redcay, Velnoskey, & Rowe, 2016). …”

Section: A Possible Reconciliation: Group-level Analysis Of Subject-smentioning

confidence: 99%

Can neuroimaging help aphasia researchers? Addressing generalizability, variability, and interpretability

Blank

Kıran

Fedorenko

2017

Cognitive Neuropsychology

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Cognitive neuropsychologists have long sought a method that would allow them to characterize the impaired performance of individuals with brain damage, in order to draw valid inferences about information-processing architectures and inform treatment design. Some have advocated group studies where data are averaged over individuals to ensure generalizability, whereas others have argued that high variability in symptoms across individuals prohibits such grouping and instead warrants single case studies that exhaustively characterize individual deficits. In studies that complement such behavioral investigations with neuroimaging data—for linking brain structure and activity to cognitive impairments, spontaneous recovery, or treatment outcomes—the validity of inferences rests on a critical assumption: that a given anatomical landmark corresponds to the same functional unit(s) across individuals. This assumption, however, is fallacious: the mapping of function onto macroanatomy is not consistent even across neurologically healthy individuals, especially in association cortices. Here, we discuss the severe implications of this issue, and argue for an approach that circumvents it by harnessing the complementary strengths of group-based and individual-subjects approaches: group-level analysis of data from subject-specific regions of interest that are localized functionally using fMRI. This method eschews the requirement for functional-anatomical correspondence across brains, allowing for inter-individual variability in the precise location of functional regions. Once localized, the response profile of these regions can be characterized using an array of other tasks, and the results can then be averaged across individuals even if there is little overlap in the location of a given functional region across the sample. This method thus guarantees generalizable results while taking inter-individual variability into account. Furthermore, it eliminates the need for post-hoc “reverse inference” from anatomical landmarks back to cognitive operations, leading to improved interpretability of the data.

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Domain‐general and domain‐specific functional networks of Broca's area underlying language processing

Bulut

2023

Brain and Behavior

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Introduction Despite abundant research on the role of Broca's area in language processing, there is still no consensus on language specificity of this region and its connectivity network. Methods The present study employed the meta‐analytic connectivity modeling procedure to identify and compare domain‐specific (language‐specific) and domain‐general (shared between language and other domains) functional connectivity patterns of three subdivisions within the broadly defined Broca's area: pars opercularis (IFGop), pars triangularis (IFGtri), and pars orbitalis (IFGorb) of the left inferior frontal gyrus. Results The findings revealed a left‐lateralized frontotemporal network for all regions of interest underlying domain‐specific linguistic functions. The domain‐general network, however, spanned frontoparietal regions that overlap with the multiple‐demand network and subcortical regions spanning the thalamus and the basal ganglia. Conclusions The findings suggest that language specificity of Broca's area emerges within a left‐lateralized frontotemporal network, and that domain‐general resources are garnered from frontoparietal and subcortical networks when required by task demands.

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Neural correlates of merging number words

Cited by 26 publications

References 41 publications

Neural correlates of processing sentences and compound words in Chinese

Neural correlates of processing sentences and compound words in Chinese

Can neuroimaging help aphasia researchers? Addressing generalizability, variability, and interpretability

Domain‐general and domain‐specific functional networks of Broca's area underlying language processing

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