Evidence map›Paper›PMID 33281588›Full record

ArticleFrontiers in human neuroscience2020

Assessing Fine-Granularity Structural and Functional Connectivity in Children With Attention Deficit Hyperactivity Disorder.

Peng Wang, Xi Jiang, Hanbo Chen, Shu Zhang, Xiang Li, Qingjiu Cao, Li Sun, Lu Liu, Binrang Yang, Yufeng Wang

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Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Peng WangPeking University Sixth Hospital, Institute of Mental Health, Beijing, China.
Xi JiangSchool of Life Sciences and Technology, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
Hanbo ChenCortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, University of Georgia, Athens, GA, United States.
Shu ZhangSchool of Computer Science, Northwestern Polytechnical University, Xi'an, China.
Xiang LiMassachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Qingjiu CaoPeking University Sixth Hospital, Institute of Mental Health, Beijing, China.
Li SunPeking University Sixth Hospital, Institute of Mental Health, Beijing, China.
Lu LiuPeking University Sixth Hospital, Institute of Mental Health, Beijing, China.
Binrang YangShenzhen Children's Hospital, Shenzhen, China.
Yufeng WangPeking University Sixth Hospital, Institute of Mental Health, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attention deficit hyperactivity disorder (ADHD) was considered to be a disorder with high heterogeneity, as various abnormalities were found across widespread brain regions in recent neuroimaging studies. However, remarkable individual variability of cortical structure and function may have partially contributed to these discrepant findings. In this work, we applied the Dense Individualized and Common Connectivity-Based Cortical Landmarks (DICCCOL) method to identify fine-granularity corresponding functional cortical regions across different subjects based on the shape of a white matter fiber bundle and measured functional connectivities between these cortical regions. Fiber bundle pattern and functional connectivity were compared between ADHD patients and normal controls in two independent samples. Interestingly, four neighboring DICCCOLs located close to the left parietooccipital area consistently exhibited discrepant fiber bundles in both datasets. The left precentral gyrus (DICCCOL 175, BA 6) and the right anterior cingulate gyrus (DICCCOL 321, BA 32) had the highest connection number among 78 pairs of abnormal functional connectivities with good cross-sample consistency. Furthermore, abnormal functional connectivities were significantly correlated with ADHD symptoms. Our studies revealed novel fine-granularity structural and functional alterations in ADHD.

Indexed as

attention deficit hyperactivity disorderdiffusion tensor imagingfMRIfunctional connectivityresting statestructural connectivity

Identifiers

PMID33281588
PMCPMC7691597

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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.