Uncovering the global task-modulated brain network in chunk decomposition with Chinese characters

Pang, Jiaoyan; Guo, Hanning; Tang, Xiaochen; Fu, Yu; Yang, Zhengwu; Li, Yongchao; An, Na; Luo, Jing; Yao, Zhijun; Hu, Bin

doi:10.1016/j.neuroimage.2021.118826

Cited by 5 publications

(5 citation statements)

References 69 publications

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“…Specifically, we found that the neural encoding patterns in the cuneus, precuneus, angular gyrus, SOG, SPL, IPL, PCC, MTG, PreCG, PoCG, mPFC, SFG, MFG, and IFG showed an increasing trend in RS during the progress of mental set induction (LCD trials). This finding is generally consistent with a recent study that found that the SFG, MFG, PCUN, PreCG, SPL, and IPL served as functional hubs in the neural network for chunk decomposition of Chinese characters [26].…”

Section: Discussionsupporting

confidence: 92%

“…Some of these regions are part of the DMN. The cuneus and PreCG could participate in the inhibitory perceptual processing of the familiar character features [21] and of multi-modular integration when accessing the meaning of target Chinese characters to facilitate character decomposition [26], respectively. Previous study on the involvement of DMN in processing the "novelty" and "appropriateness" features, which are the two most fundamental features of creativity [32], [33], found a DMN involvement pattern of "familiar and appropriate (FA) > familiar and inappropriate (FI) > novel and appropriate (NA) > novel and inappropriate (NI)" in chunk decomposition [24] and constrain relaxation [34] type of insight problem solving and in creative product design processing [35].…”

Section: Discussionmentioning

confidence: 99%

“…We selected the ROIs (in the ACC, mFG, and mSFG) a priori based on previous neuroimaging studies on chunk decomposition [19], [21], [23], [24]. These ROIs were created using spheres placed at peak coordinates, including the ACC (x, y, z = TAL [6,28,26], sphere radius = 4 mm, cluster size = 36 voxels) [19], mFG (x, y, z = MNI [8,28,40], sphere radius = 7 mm, cluster size = 179 voxels; x, y, z = TAL [0, 34,40], sphere radius = 10 mm, cluster size = 498 voxels) [21], [23] and mSFG BA8 (x, y, z = MNI [-6, 42, 48], sphere radius = 4 mm, cluster size = 36 voxels) [24]. For each ROI, the percent signal change from the LCD trials to the TCD trials was extracted using the MarsBar toolbox (http sourceforge.net).…”

Section: Univariate General Linear Model (Glm) Analysis Of the Fmri Datamentioning

confidence: 99%

“…Specifically, the present study used the chunk decomposition (i.e., Chinese character decomposition) task [7], [8], [21], [22], [23], [24], [25], [26]. This task involves the presentation of problems with similar stimuli forms but can be solved by two different strategies: the ordinary (noncreative) radical-level loose chunk decomposition (LCD) strategy and the insightful stroke-level tight chunk decomposition (TCD) strategy.…”

Section: Introductionmentioning

confidence: 99%

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The induction of a specific mental set for problem solving is accompanied by increased neural representational similarities

Zhang¹,

Tan²,

Li³

et al. 2022

Preprint

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A mental set is a cognitive bias induced by the successive application of a specific strategy; developing a specific mental set prevents individuals from generating more direct and creative ways of solving novel problems. The neural mechanisms underlying mental set induction are unclear. We predicted that the repeated application of a specific strategy leads to increasing similarity of the related neural representations. To test this hypothesis, representation similarity analysis (RSA) was used to identify brain regions whose neural encoding patterns showed increases in representational similarity (RS) during the first, second, third, and fourth induction trials, which utilized the same type of ordinary radical-level “loose” chunk decomposition (LCD) strategy. This induction would consequently restrict one’s ability to solve the probe trials that required a different strategy (insightful stroke-level “tight” chunk decomposition, TCD). We found that from the first to the final LCD trial, regions for attentional control, mental operation, and the default mode network (DMN)-based processing showed increased RS. These RS increases positively predicted the activation of the anterior cingulate cortex (ACC) and medial frontal lobe when solving TCD probe trials, which in turn modulated the impacts of the RS increase in the process of mental set inducing on the degree of representational changes in regions for perceptual, operative, and executive processing on TCD trials. Thus, increased similarities of neural representational patterns in the goal-directed manipulation and spontaneous processing DMN systems may underlie mental set induction; these neural changes interacted with conflict resolution and representational changes when solving novel problems.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Univariate General Linear Model (Glm) Analysis Of the Fmri Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The induction of a specific mental set for problem solving is accompanied by increased neural representational similarities

Zhang¹,

Tan²,

Li³

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…Pearson correlations of the beta-weight series were then calculated between individual channels (followed by Fisher-transform) as the values of connectivity between them. Such an approach has been successfully applied to quantify effective haemodynamic functional connectivity (Rissman et al, 2004; Ye et al, 2011; Gottlich et al, 2017; Antonucci et al, 2020; Pang et al, 2022).…”

Section: Methodsmentioning

confidence: 99%

Neuroplasticity of speech-in-noise processing in older adults assessed by functional near-infrared spectroscopy (fNIRS)

Mai,

Jiang,

Wang

et al. 2023

Preprint

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Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical neuroimaging technique that is portable and acoustically silent, has become a promising tool for evaluating auditory brain functions in hearing-vulnerable individuals. This study, for the first time, used fNIRS to evaluate neuroplasticity of speech processing in older adults. Ten older adults, most of whom had moderate-to-mild hearing loss, participated in a 4-week speech-in-noise training. Their speech-in-noise performances and fNIRS brain responses to speech (auditory sentences in noise), nonspeech (spectrally-rotated speech) and visual (flashing chequerboards) stimuli were evaluated pre- (T0) and post-training (immediately post-training, T1; and after a 4-week retention, T2). Behaviourally, speech-in-noise performances were improved after retention (T2 vs. T0) but not immediately post-training (T1 vs. T0). Neurally, brain responses to speech vs. nonspeech in the left frontal cortex decreased significantly post-training (both T1 and T2 vs. T0), reflecting possible alleviation of listening efforts. Furthermore, functional connectivity was significantly enhanced between temporal, parietal and frontal lobes, mainly after retention (T2 vs. T0), corresponding to the significant behavioural improvements. Finally, connectivity was significantly decreased between auditory and higher-level non-auditory (parietal and frontal) cortices in response to visual stimuli post-training (T1 vs. T0), indicating decreased cross-modal takeover of speech-related regions during visual processing. The results thus showed that neuroplasticity can be observed before behavioural changes. To our knowledge, this is the first fNIRS study to evaluate speech-based auditory neuroplasticity in older adults. It thus provides important implications for auditory neuroscience research by illustrating the promises of detecting auditory neuroplasticity using fNIRS in hearing-vulnerable individuals.

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Neuroplasticity of Speech-in-Noise Processing in Older Adults Assessed by Functional Near-Infrared Spectroscopy (fNIRS)

Mai,

Jiang,

Wang

et al. 2024

Brain Topogr

View full text Add to dashboard Cite

Functional near-infrared spectroscopy (fNIRS), a non-invasive optical neuroimaging technique that is portable and acoustically silent, has become a promising tool for evaluating auditory brain functions in hearing-vulnerable individuals. This study, for the first time, used fNIRS to evaluate neuroplasticity of speech-in-noise processing in older adults. Ten older adults, most of whom had moderate-to-mild hearing loss, participated in a 4-week speech-in-noise training. Their speech-in-noise performances and fNIRS brain responses to speech (auditory sentences in noise), non-speech (spectrally-rotated speech in noise) and visual (flashing chequerboards) stimuli were evaluated pre- (T0) and post-training (immediately after training, T1; and after a 4-week retention, T2). Behaviourally, speech-in-noise performances were improved after retention (T2 vs. T0) but not immediately after training (T1 vs. T0). Neurally, we intriguingly found brain responses to speech vs. non-speech decreased significantly in the left auditory cortex after retention (T2 vs. T0 and T2 vs. T1) for which we interpret as suppressed processing of background noise during speech listening alongside the significant behavioural improvements. Meanwhile, functional connectivity within and between multiple regions of temporal, parietal and frontal lobes was significantly enhanced in the speech condition after retention (T2 vs. T0). We also found neural changes before the emergence of significant behavioural improvements. Compared to pre-training, responses to speech vs. non-speech in the left frontal/prefrontal cortex were decreased significantly both immediately after training (T1 vs. T0) and retention (T2 vs. T0), reflecting possible alleviation of listening efforts. Finally, connectivity was significantly decreased between auditory and higher-level non-auditory (parietal and frontal) cortices in response to visual stimuli immediately after training (T1 vs. T0), indicating decreased cross-modal takeover of speech-related regions during visual processing. The results thus showed that neuroplasticity can be observed not only at the same time with, but also before, behavioural changes in speech-in-noise perception. To our knowledge, this is the first fNIRS study to evaluate speech-based auditory neuroplasticity in older adults. It thus provides important implications for current research by illustrating the promises of detecting neuroplasticity using fNIRS in hearing-vulnerable individuals.

show abstract

Uncovering the global task-modulated brain network in chunk decomposition with Chinese characters

Cited by 5 publications

References 69 publications

The induction of a specific mental set for problem solving is accompanied by increased neural representational similarities

The induction of a specific mental set for problem solving is accompanied by increased neural representational similarities

Neuroplasticity of speech-in-noise processing in older adults assessed by functional near-infrared spectroscopy (fNIRS)

Neuroplasticity of Speech-in-Noise Processing in Older Adults Assessed by Functional Near-Infrared Spectroscopy (fNIRS)

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