Evidence map›Paper›PMID 35601902›Full record

ArticleFrontiers in human neuroscience2022

Distinct Patterns of Automatic and Controlled Incongruent Information Processing in the Human Brain.

Jialin Du, Yu Zhu, Chengtian Zhao, Dongju Yang, Tao Yu, Xiaohua Zhang, Liankun Ren, Yuping Wang

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jialin DuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yu ZhuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Chengtian ZhaoDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Dongju YangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Tao YuDepartment of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xiaohua ZhangDepartment of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Liankun RenDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yuping WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is a fundamental ability to discriminate incongruent information in daily activity. However, the underlying neural dynamics are still unclear. Using stereoelectroencephalography (SEEG), in this study, we investigated the fine-grained and different states of incongruent information processing in patients with refractory epilepsy who underwent intracranial electrode implantation. All patients performed a delayed match-to-sample paradigm in the sequential pairs of visual stimuli (S1 followed by S2). Participants were asked to discriminate whether the relevant feature of S2 was identical to S1 while ignoring the irrelevant feature. The spatiotemporal cortical responses evoked by different conditions were calculated and compared, respectively, in the context of brain intrinsic functional networks. In total, we obtained SEEG recordings from 241 contacts in gray matter. In the processing of irrelevant incongruent information, the activated brain areas included the superior parietal lobule, supramarginal gyrus, angular gyrus, inferior temporal gyrus, and fusiform gyrus. By comparing the relevant incongruent condition with the congruent condition, the activated brain areas included the middle frontal gyrus, superior temporal gyrus, middle temporal gyrus, posterior superior temporal sulcus, and posterior cingulate cortex. We demonstrated the dynamics of incongruent information processing with high spatiotemporal resolution and suggested that the process of automatic detection of irrelevant incongruent information requires the involvement of local regions and relatively few networks. Meanwhile, controlled discrimination of relevant incongruent information requires the participation of extensive regions and a wide range of nodes in the network. Furthermore, both the frontoparietal control network and default mode network were engaged in the incongruent information processing.

Indexed as

default mode networkevent-related potentialfrontoparietal control networkincongruent information processingstereoelectroencephalography

Identifiers

PMID35601902
PMCPMC9121373

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.