Disentangling mathematics from executive functions by investigating unique functional connectivity patterns predictive of mathematics ability

Kenny Skagerlund, Taylor Bolt, Jason Nomi, Mikael Skagenholt, Daniel Västfjäll, Ulf Träff, Lucina Q Uddin

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

What are the underlying neurocognitive mechanisms that give rise to mathematical competence? This study investigated the relationship between tests of mathematical ability completed outside the scanner and resting-state functional connectivity (FC) of cytoarchitectonically defined subdivisions of the parietal cortex in adults. These parietal areas are also involved in executive functions (EFs). Therefore, it remains unclear whether there are unique networks for mathematical processing. We investigate the neural networks for mathematical cognition and three measures of EF using resting-state fMRI data collected from 51 healthy adults. Using 10 ROIs in seed to whole-brain voxel-wise analyses, the results showed that arithmetical ability was correlated with FC between the right anterior intraparietal sulcus (hIP1) and the left supramarginal gyrus and between the right posterior intraparietal sulcus (hIP3) and the left middle frontal gyrus and the right premotor cortex. The connection between the posterior portion of the left angular gyrus and the left inferior frontal gyrus was also correlated with mathematical ability. Covariates of EF eliminated connectivity patterns with nodes in inferior frontal gyrus, angular gyrus, and middle frontal gyrus, suggesting neural overlap. Controlling for EF, we found unique connections correlated with mathematical ability between the right hIP1 and the left supramarginal gyrus and between hIP3 bilaterally to premotor cortex bilaterally. This is partly in line with the “mapping hypothesis” of numerical cognition in which the right intraparietal sulcus subserves nonsymbolic number processing and connects to the left parietal cortex, responsible for calculation procedures. We show that FC within this circuitry is a significant predictor of math ability in adulthood.

Original languageEnglish (US)
Pages (from-to)560-573
Number of pages14
JournalJournal of cognitive neuroscience
Volume31
Issue number4
DOIs
StatePublished - Jan 1 2018

Fingerprint

Parietal Lobe
Aptitude
Mathematics
Executive Function
Motor Cortex
Prefrontal Cortex
Cognition
Mental Competency
Seeds
Magnetic Resonance Imaging

ASJC Scopus subject areas

  • Cognitive Neuroscience

Cite this

Disentangling mathematics from executive functions by investigating unique functional connectivity patterns predictive of mathematics ability. / Skagerlund, Kenny; Bolt, Taylor; Nomi, Jason; Skagenholt, Mikael; Västfjäll, Daniel; Träff, Ulf; Uddin, Lucina Q.

In: Journal of cognitive neuroscience, Vol. 31, No. 4, 01.01.2018, p. 560-573.

Research output: Contribution to journalArticle

@article{5cc2724b2d1e4997b0afb113901ee977,
title = "Disentangling mathematics from executive functions by investigating unique functional connectivity patterns predictive of mathematics ability",
abstract = "What are the underlying neurocognitive mechanisms that give rise to mathematical competence? This study investigated the relationship between tests of mathematical ability completed outside the scanner and resting-state functional connectivity (FC) of cytoarchitectonically defined subdivisions of the parietal cortex in adults. These parietal areas are also involved in executive functions (EFs). Therefore, it remains unclear whether there are unique networks for mathematical processing. We investigate the neural networks for mathematical cognition and three measures of EF using resting-state fMRI data collected from 51 healthy adults. Using 10 ROIs in seed to whole-brain voxel-wise analyses, the results showed that arithmetical ability was correlated with FC between the right anterior intraparietal sulcus (hIP1) and the left supramarginal gyrus and between the right posterior intraparietal sulcus (hIP3) and the left middle frontal gyrus and the right premotor cortex. The connection between the posterior portion of the left angular gyrus and the left inferior frontal gyrus was also correlated with mathematical ability. Covariates of EF eliminated connectivity patterns with nodes in inferior frontal gyrus, angular gyrus, and middle frontal gyrus, suggesting neural overlap. Controlling for EF, we found unique connections correlated with mathematical ability between the right hIP1 and the left supramarginal gyrus and between hIP3 bilaterally to premotor cortex bilaterally. This is partly in line with the “mapping hypothesis” of numerical cognition in which the right intraparietal sulcus subserves nonsymbolic number processing and connects to the left parietal cortex, responsible for calculation procedures. We show that FC within this circuitry is a significant predictor of math ability in adulthood.",
author = "Kenny Skagerlund and Taylor Bolt and Jason Nomi and Mikael Skagenholt and Daniel V{\"a}stfj{\"a}ll and Ulf Tr{\"a}ff and Uddin, {Lucina Q}",
year = "2018",
month = "1",
day = "1",
doi = "10.1162/jocn_a_01367",
language = "English (US)",
volume = "31",
pages = "560--573",
journal = "Journal of Cognitive Neuroscience",
issn = "0898-929X",
publisher = "MIT Press Journals",
number = "4",

}

TY - JOUR

T1 - Disentangling mathematics from executive functions by investigating unique functional connectivity patterns predictive of mathematics ability

AU - Skagerlund, Kenny

AU - Bolt, Taylor

AU - Nomi, Jason

AU - Skagenholt, Mikael

AU - Västfjäll, Daniel

AU - Träff, Ulf

AU - Uddin, Lucina Q

PY - 2018/1/1

Y1 - 2018/1/1

N2 - What are the underlying neurocognitive mechanisms that give rise to mathematical competence? This study investigated the relationship between tests of mathematical ability completed outside the scanner and resting-state functional connectivity (FC) of cytoarchitectonically defined subdivisions of the parietal cortex in adults. These parietal areas are also involved in executive functions (EFs). Therefore, it remains unclear whether there are unique networks for mathematical processing. We investigate the neural networks for mathematical cognition and three measures of EF using resting-state fMRI data collected from 51 healthy adults. Using 10 ROIs in seed to whole-brain voxel-wise analyses, the results showed that arithmetical ability was correlated with FC between the right anterior intraparietal sulcus (hIP1) and the left supramarginal gyrus and between the right posterior intraparietal sulcus (hIP3) and the left middle frontal gyrus and the right premotor cortex. The connection between the posterior portion of the left angular gyrus and the left inferior frontal gyrus was also correlated with mathematical ability. Covariates of EF eliminated connectivity patterns with nodes in inferior frontal gyrus, angular gyrus, and middle frontal gyrus, suggesting neural overlap. Controlling for EF, we found unique connections correlated with mathematical ability between the right hIP1 and the left supramarginal gyrus and between hIP3 bilaterally to premotor cortex bilaterally. This is partly in line with the “mapping hypothesis” of numerical cognition in which the right intraparietal sulcus subserves nonsymbolic number processing and connects to the left parietal cortex, responsible for calculation procedures. We show that FC within this circuitry is a significant predictor of math ability in adulthood.

AB - What are the underlying neurocognitive mechanisms that give rise to mathematical competence? This study investigated the relationship between tests of mathematical ability completed outside the scanner and resting-state functional connectivity (FC) of cytoarchitectonically defined subdivisions of the parietal cortex in adults. These parietal areas are also involved in executive functions (EFs). Therefore, it remains unclear whether there are unique networks for mathematical processing. We investigate the neural networks for mathematical cognition and three measures of EF using resting-state fMRI data collected from 51 healthy adults. Using 10 ROIs in seed to whole-brain voxel-wise analyses, the results showed that arithmetical ability was correlated with FC between the right anterior intraparietal sulcus (hIP1) and the left supramarginal gyrus and between the right posterior intraparietal sulcus (hIP3) and the left middle frontal gyrus and the right premotor cortex. The connection between the posterior portion of the left angular gyrus and the left inferior frontal gyrus was also correlated with mathematical ability. Covariates of EF eliminated connectivity patterns with nodes in inferior frontal gyrus, angular gyrus, and middle frontal gyrus, suggesting neural overlap. Controlling for EF, we found unique connections correlated with mathematical ability between the right hIP1 and the left supramarginal gyrus and between hIP3 bilaterally to premotor cortex bilaterally. This is partly in line with the “mapping hypothesis” of numerical cognition in which the right intraparietal sulcus subserves nonsymbolic number processing and connects to the left parietal cortex, responsible for calculation procedures. We show that FC within this circuitry is a significant predictor of math ability in adulthood.

UR - http://www.scopus.com/inward/record.url?scp=85062429345&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85062429345&partnerID=8YFLogxK

U2 - 10.1162/jocn_a_01367

DO - 10.1162/jocn_a_01367

M3 - Article

C2 - 30566368

AN - SCOPUS:85062429345

VL - 31

SP - 560

EP - 573

JO - Journal of Cognitive Neuroscience

JF - Journal of Cognitive Neuroscience

SN - 0898-929X

IS - 4

ER -