Evidence map›Paper›PMID 28345153›Full record

ArticleHuman brain mapping2017

The functional architectures of addition and subtraction: Network discovery using fMRI and DCM.

Yang Yang, Ning Zhong, Karl Friston, Kazuyuki Imamura, Shengfu Lu, Mi Li, Haiyan Zhou, Haiyuan Wang, Kuncheng Li, Bin Hu

Open access · bronzeAbstract read
In one paragraph

Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.4field-weighted citation impact, top 6% of its field
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

14 citing papers in PubMed, 54 citations in OpenAlex.

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  4. Spatiotemporal Dynamics of Successive Activations across the Human Brain during Simple Arithmetic Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 4 countries.

Yang YangBeijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.
Ning ZhongBeijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.ORCID 0000-0001-5387-8640
Karl FristonThe Wellcome Trust Centre for Neuroimaging, University College London, London, UK.
Kazuyuki ImamuraDepartment of Systems Life Engineering, Maebashi Institute of Technology, Maebashi, Japan.
Shengfu LuBeijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.
Mi LiBeijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.
Haiyan ZhouBeijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.
Haiyuan WangBeijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.
Kuncheng LiBeijing Key Laboratory of MRI and Brain Informatics, Beijing, China.
Bin HuUbiquitous Awareness and Intelligent Solutions Lab, Lanzhou University, Lanzhou, China.
Beijing University of Technology · CNMaebashi Institute of Technology · JPCapital Medical University · CNChinese Institute for Brain Research · CNWellcome Centre for Human Neuroimaging · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

The neuronal mechanisms underlying arithmetic calculations are not well understood but the differences between mental addition and subtraction could be particularly revealing. Using fMRI and dynamic causal modeling (DCM), this study aimed to identify the distinct neuronal architectures engaged by the cognitive processes of simple addition and subtraction. Our results revealed significantly greater activation during subtraction in regions along the dorsal pathway, including the left inferior frontal gyrus (IFG), middle portion of dorsolateral prefrontal cortex (mDLPFC), and supplementary motor area (SMA), compared with addition. Subsequent analysis of the underlying changes in connectivity - with DCM - revealed a common circuit processing basic (numeric) attributes and the retrieval of arithmetic facts. However, DCM showed that addition was more likely to engage (numeric) retrieval-based circuits in the left hemisphere, while subtraction tended to draw on (magnitude) processing in bilateral parietal cortex, especially the right intraparietal sulcus (IPS). Our findings endorse previous hypotheses about the differences in strategic implementation, dominant hemisphere, and the neuronal circuits underlying addition and subtraction. Moreover, for simple arithmetic, our connectivity results suggest that subtraction calls on more complex processing than addition: auxiliary phonological, visual, and motor processes, for representing numbers, were engaged by subtraction, relative to addition. Hum Brain Mapp 38:3210-3225, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

Brain MappingMathematicsModels, NeurologicalAdultBrainFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNeural PathwaysOxygenProblem SolvingReaction TimeYoung AdultOxygenarithmetic processingdynamic causal modelingfMRInetwork discovery

Identifiers

PMID28345153
PMCPMC6866939
OpenAlexW2603248533

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.