Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Multiple Demand (MD) system’s activity predicts individual differences in working memory and fluid intelligence

Moataz Assem, Idan Blank, Zach Mineroff, Ahmet Ademoglu, Evelina Fedorenko
doi: https://doi.org/10.1101/110270
Moataz Assem
1MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Idan Blank
2Brain & Cognitive Sciences Department, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Zach Mineroff
2Brain & Cognitive Sciences Department, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ahmet Ademoglu
3Institute of Biomedical Engineering, Bogazici University, Istanbul, 34684, Turkey
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Evelina Fedorenko
4Department of Psychiatry, Harvard Medical School, Boston, MA 02115
5Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Executive abilities are supported by the fronto-parietal Multiple Demand (MD) network, yet attempts to link individual behavioral variability to MD activity have yielded contradictory findings. In a large-scale fMRI study (n=140), higher MD responses were strongly associated with better performance on a working memory task and higher IQ. These results pave the way for using individual fMRI measures to link genetic and behavioral variation in health and disease.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted February 21, 2017.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Multiple Demand (MD) system’s activity predicts individual differences in working memory and fluid intelligence
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Multiple Demand (MD) system’s activity predicts individual differences in working memory and fluid intelligence
Moataz Assem, Idan Blank, Zach Mineroff, Ahmet Ademoglu, Evelina Fedorenko
bioRxiv 110270; doi: https://doi.org/10.1101/110270
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Multiple Demand (MD) system’s activity predicts individual differences in working memory and fluid intelligence
Moataz Assem, Idan Blank, Zach Mineroff, Ahmet Ademoglu, Evelina Fedorenko
bioRxiv 110270; doi: https://doi.org/10.1101/110270

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4246)
  • Biochemistry (9176)
  • Bioengineering (6807)
  • Bioinformatics (24066)
  • Biophysics (12160)
  • Cancer Biology (9567)
  • Cell Biology (13847)
  • Clinical Trials (138)
  • Developmental Biology (7661)
  • Ecology (11739)
  • Epidemiology (2066)
  • Evolutionary Biology (15547)
  • Genetics (10673)
  • Genomics (14366)
  • Immunology (9515)
  • Microbiology (22916)
  • Molecular Biology (9135)
  • Neuroscience (49170)
  • Paleontology (358)
  • Pathology (1487)
  • Pharmacology and Toxicology (2584)
  • Physiology (3851)
  • Plant Biology (8351)
  • Scientific Communication and Education (1473)
  • Synthetic Biology (2301)
  • Systems Biology (6207)
  • Zoology (1304)