Literature DB >> 33324470

Analysis of Consistency in Structural and Functional Connectivity of Human Brain.

Yusuf Osmanlıoğlu1, Jacob A Alappatt1, Drew Parker1, Ragini Verma1.   

Abstract

Analysis of structural and functional connectivity of brain has become a fundamental approach in neuroscientific research. Despite several studies reporting consistent similarities as well as differences for structural and resting state (rs) functional connectomes, a comparative investigation of connectomic consistency between the two modalities is still lacking. Nonetheless, connectomic analysis comprising both connectivity types necessitate extra attention as consistency of connectivity differs across modalities, possibly affecting the interpretation of the results. In this study, we present a comprehensive analysis of consistency in structural and rs-functional connectomes obtained from longitudinal diffusion MRI and rs-fMRI data of a single healthy subject. We contrast consistency of deterministic and probabilistic tracking with that of full, positive, and negative functional connectivities across various connectome generation schemes, using correlation as a measure of consistency.

Entities:  

Keywords:  DTI; connectome; consistency; dMRI; rs-fMRI

Year:  2020        PMID: 33324470      PMCID: PMC7734450          DOI: 10.1109/isbi45749.2020.9098412

Source DB:  PubMed          Journal:  Proc IEEE Int Symp Biomed Imaging        ISSN: 1945-7928


  14 in total

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Authors:  Robert E Smith; Jacques-Donald Tournier; Fernando Calamante; Alan Connelly
Journal:  Neuroimage       Date:  2012-06-13       Impact factor: 6.556

Review 2.  Large-scale brain networks in cognition: emerging methods and principles.

Authors:  Steven L Bressler; Vinod Menon
Journal:  Trends Cogn Sci       Date:  2010-05-20       Impact factor: 20.229

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Authors:  Ernesto Estrada; Naomichi Hatano
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-03-11

4.  One-year test-retest reliability of intrinsic connectivity network fMRI in older adults.

Authors:  Christine C Guo; Florian Kurth; Juan Zhou; Emeran A Mayer; Simon B Eickhoff; Joel H Kramer; William W Seeley
Journal:  Neuroimage       Date:  2012-03-14       Impact factor: 6.556

5.  Analytical Transparency and Reproducibility in Human Neuroimaging Studies.

Authors:  Marina Picciotto
Journal:  J Neurosci       Date:  2018-04-04       Impact factor: 6.167

6.  System-level matching of structural and functional connectomes in the human brain.

Authors:  Yusuf Osmanlıoğlu; Birkan Tunç; Drew Parker; Mark A Elliott; Graham L Baum; Rastko Ciric; Theodore D Satterthwaite; Raquel E Gur; Ruben C Gur; Ragini Verma
Journal:  Neuroimage       Date:  2019-05-26       Impact factor: 6.556

7.  The individual functional connectome is unique and stable over months to years.

Authors:  Corey Horien; Xilin Shen; Dustin Scheinost; R Todd Constable
Journal:  Neuroimage       Date:  2019-02-02       Impact factor: 6.556

8.  Test-retest reliability of computational network measurements derived from the structural connectome of the human brain.

Authors:  Julia P Owen; Etay Ziv; Polina Bukshpun; Nicholas Pojman; Mari Wakahiro; Jeffrey I Berman; Timothy P L Roberts; Eric J Friedman; Elliott H Sherr; Pratik Mukherjee
Journal:  Brain Connect       Date:  2013

9.  Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI.

Authors:  Alexander Schaefer; Ru Kong; Evan M Gordon; Timothy O Laumann; Xi-Nian Zuo; Avram J Holmes; Simon B Eickhoff; B T Thomas Yeo
Journal:  Cereb Cortex       Date:  2018-09-01       Impact factor: 5.357

Review 10.  The human connectome: A structural description of the human brain.

Authors:  Olaf Sporns; Giulio Tononi; Rolf Kötter
Journal:  PLoS Comput Biol       Date:  2005-09       Impact factor: 4.475

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