Evidence map›Paper›PMID 25926458›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2015

The white matter structural network underlying human tool use and tool understanding.

Yanchao Bi, Zaizhu Han, Suyu Zhong, Yujun Ma, Gaolang Gong, Ruiwang Huang, Luping Song, Yuxing Fang, Yong He, Alfonso Caramazza

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  10. Limb apraxia and the left parietal lobe.Handbook of clinical neurology · 2018
    Review
  11. Article
  12. Article
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  17. The Contribution of Semantic Features to the White Matter Pathways of Tool Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Yanchao BiState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
Zaizhu HanState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China, zzhhan@bnu.edu.cn.
Suyu ZhongState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
Yujun MaDepartment of Psychology, Henan University, Kaifeng 475000, China.
Gaolang GongState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
Ruiwang HuangCenter for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, Guangzhou 510631, China.
Luping SongNeurorehabilitation Department of Capital Medical University Rehabilitation College and China Rehabilitation Research Center, Beijing 100038, China.
Yuxing FangState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
Yong HeState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
Alfonso CaramazzaDepartment of Psychology, Harvard University, Cambridge, Massachusetts 02138, and Center of Mind/Brain Sciences (CIMeC), University of Trento, I-38122 Trento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to recognize, create, and use complex tools is a milestone in human evolution. Widely distributed brain regions in parietal, frontal, and temporal cortices have been implicated in using and understanding tools, but the roles of their anatomical connections in supporting tool use and tool conceptual behaviors are unclear. Using deterministic fiber tracking in healthy participants, we first examined how 14 cortical regions that are consistently activated by tool processing are connected by white matter (WM) tracts. The relationship between the integrity of each of the 33 obtained tracts and tool processing deficits across 86 brain-damaged patients was investigated. WM tract integrity was measured with both lesion percentage (structural imaging) and mean fractional anisotropy (FA) values (diffusion imaging). Behavioral abilities were assessed by a tool use task, a range of conceptual tasks, and control tasks. We found that three left hemisphere tracts connecting frontoparietal and intrafrontal areas overlapping with left superior longitudinal fasciculus are crucial for tool use such that larger lesion and lower mean FA values on these tracts were associated with more severe tool use deficits. These tracts and five additional left hemisphere tracts connecting frontal and temporal/parietal regions, mainly overlapping with left superior longitudinal fasciculus, inferior frontooccipital fasciculus, uncinate fasciculus, and anterior thalamic radiation, are crucial for tool concept processing. Largely consistent results were also obtained using voxel-based symptom mapping analyses. Our results revealed the WM structural networks that support the use and conceptual understanding of tools, providing evidence for the anatomical skeleton of the tool knowledge network.

Indexed as

Brain MappingComprehensionAdultAgedAnisotropyBrain InjuriesCognition DisordersFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedMotor Skills DisordersNerve NetNeuropsychological TestsReproducibility of Resultsbrain-damaged patientdiffusion tensor imagingstructural networktool concepttool usevoxel-based lesion-symptom mapping

Identifiers

PMID25926458
PMCPMC6605181

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Registered trials

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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.