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

Validating Dynamicity in Resting State fMRI with Activation-Informed Temporal Segmentation

Marlena Duda, Danai Koutra, Chandra Sripada
doi: https://doi.org/10.1101/2020.10.12.335976
Marlena Duda
1Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: marlenad@umich.edu
Danai Koutra
2Department of Computer Science and Engineering, University of Michigan, Ann Arbor, MI, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chandra Sripada
3Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: marlenad@umich.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/2020.10.12.335976
History 
  • October 22, 2020.

Article Versions

  • Version 1 (October 13, 2020 - 10:20).
  • You are viewing Version 2, the most recent version of this article.
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.

Author Information

  1. Marlena Duda1,*,
  2. Danai Koutra2 and
  3. Chandra Sripada3,*
  1. 1Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
  2. 2Department of Computer Science and Engineering, University of Michigan, Ann Arbor, MI, USA
  3. 3Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
  1. ↵*Corresponding author; email: marlenad{at}umich.edu
Back to top
PreviousNext
Posted October 22, 2020.
Download PDF
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.
Validating Dynamicity in Resting State fMRI with Activation-Informed Temporal Segmentation
(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
Validating Dynamicity in Resting State fMRI with Activation-Informed Temporal Segmentation
Marlena Duda, Danai Koutra, Chandra Sripada
bioRxiv 2020.10.12.335976; doi: https://doi.org/10.1101/2020.10.12.335976
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Validating Dynamicity in Resting State fMRI with Activation-Informed Temporal Segmentation
Marlena Duda, Danai Koutra, Chandra Sripada
bioRxiv 2020.10.12.335976; doi: https://doi.org/10.1101/2020.10.12.335976

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 (4234)
  • Biochemistry (9128)
  • Bioengineering (6781)
  • Bioinformatics (23998)
  • Biophysics (12124)
  • Cancer Biology (9534)
  • Cell Biology (13776)
  • Clinical Trials (138)
  • Developmental Biology (7635)
  • Ecology (11698)
  • Epidemiology (2066)
  • Evolutionary Biology (15508)
  • Genetics (10642)
  • Genomics (14324)
  • Immunology (9479)
  • Microbiology (22836)
  • Molecular Biology (9089)
  • Neuroscience (48987)
  • Paleontology (355)
  • Pathology (1482)
  • Pharmacology and Toxicology (2570)
  • Physiology (3845)
  • Plant Biology (8330)
  • Scientific Communication and Education (1471)
  • Synthetic Biology (2296)
  • Systems Biology (6190)
  • Zoology (1300)