Literature DB >> 26058702

Comparison of diffusion tractography and tract-tracing measures of connectivity strength in rhesus macaque connectome.

Martijn P van den Heuvel1,2, Marcel A de Reus1,2, Lisa Feldman Barrett3,4, Lianne H Scholtens1,2, Fraukje M T Coopmans1,2, Ruben Schmidt2,5, Todd M Preuss6,7, James K Rilling7,8,9,10, Longchuan Li11,12.   

Abstract

With the mapping of macroscale connectomes by means of in vivo diffusion-weighted MR Imaging (DWI) rapidly gaining in popularity, one of the necessary steps is the examination of metrics of connectivity strength derived from these reconstructions. In the field of human macroconnectomics the number of reconstructed fiber streamlines (NOS) is more and more used as a metric of cortico-cortical interareal connectivity strength, but the link between DWI NOS and in vivo animal tract-tracing measurements of anatomical connectivity strength remains poorly understood. In this technical report, we communicate on a comparison between DWI derived metrics and tract-tracing metrics of projection strength. Tract-tracing information on projection strength of interareal pathways was extracted from two commonly used macaque connectome datasets, including (1) the CoCoMac database of collated tract-tracing experiments of the macaque brain and (2) the high-resolution tract-tracing dataset of Markov and Kennedy and coworkers. NOS and density of reconstructed fiber pathways derived from DWI data acquired across 10 rhesus macaques was found to positively correlate to tract-tracing based measurements of connectivity strength across both the CoCoMac and Markov dataset (both P < 0.001), suggesting DWI NOS to form a valid method of assessment of the projection strength of white matter pathways. Our findings provide confidence of in vivo DWI connectome reconstructions to represent fairly realistic estimates of the wiring strength of white matter projections. Our cross-modal comparison supports the notion of in vivo DWI to be a valid methodology for robust description and interpretation of brain wiring.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  connectivity; connectome; connectomics; diffusion imaging; macaque; tract tracing; white matter

Mesh:

Year:  2015        PMID: 26058702      PMCID: PMC6869766          DOI: 10.1002/hbm.22828

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  54 in total

1.  Accelerated changes in white matter microstructure during aging: a longitudinal diffusion tensor imaging study.

Authors:  Claire E Sexton; Kristine B Walhovd; Andreas B Storsve; Christian K Tamnes; Lars T Westlye; Heidi Johansen-Berg; Anders M Fjell
Journal:  J Neurosci       Date:  2014-11-12       Impact factor: 6.167

2.  Conserved and variable architecture of human white matter connectivity.

Authors:  Danielle S Bassett; Jesse A Brown; Vibhas Deshpande; Jean M Carlson; Scott T Grafton
Journal:  Neuroimage       Date:  2010-09-17       Impact factor: 6.556

3.  3D histological reconstruction of fiber tracts and direct comparison with diffusion tensor MRI tractography.

Authors:  Julien Dauguet; Sharon Peled; Vladimir Berezovskii; Thierry Delzescaux; Simon K Warfield; Richard Born; Carl-Fredrik Westin
Journal:  Med Image Comput Comput Assist Interv       Date:  2006

4.  Comparison of fiber tracts derived from in-vivo DTI tractography with 3D histological neural tract tracer reconstruction on a macaque brain.

Authors:  Julien Dauguet; Sharon Peled; Vladimir Berezovskii; Thierry Delzescaux; Simon K Warfield; Richard Born; Carl-Fredrik Westin
Journal:  Neuroimage       Date:  2007-05-24       Impact factor: 6.556

5.  Predicting human resting-state functional connectivity from structural connectivity.

Authors:  C J Honey; O Sporns; L Cammoun; X Gigandet; J P Thiran; R Meuli; P Hagmann
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

6.  Age-related differences in multiple measures of white matter integrity: A diffusion tensor imaging study of healthy aging.

Authors:  Ilana J Bennett; David J Madden; Chandan J Vaidya; Darlene V Howard; James H Howard
Journal:  Hum Brain Mapp       Date:  2010-03       Impact factor: 5.038

7.  Efficiency of functional brain networks and intellectual performance.

Authors:  Martijn P van den Heuvel; Cornelis J Stam; René S Kahn; Hilleke E Hulshoff Pol
Journal:  J Neurosci       Date:  2009-06-10       Impact factor: 6.167

Review 8.  Cortical high-density counterstream architectures.

Authors:  Kenneth Knoblauch; Zoltán Toroczkai; Henry Kennedy; Nikola T Markov; Mária Ercsey-Ravasz; David C Van Essen
Journal:  Science       Date:  2013-11-01       Impact factor: 47.728

Review 9.  Brain networks in schizophrenia.

Authors:  Martijn P van den Heuvel; Alex Fornito
Journal:  Neuropsychol Rev       Date:  2014-02-06       Impact factor: 7.444

10.  Abnormal rich club organization and functional brain dynamics in schizophrenia.

Authors:  Martijn P van den Heuvel; Olaf Sporns; Guusje Collin; Thomas Scheewe; René C W Mandl; Wiepke Cahn; Joaquín Goñi; Hilleke E Hulshoff Pol; René S Kahn
Journal:  JAMA Psychiatry       Date:  2013-08       Impact factor: 21.596

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  59 in total

1.  Anatomical accuracy of standard-practice tractography algorithms in the motor system - A histological validation in the squirrel monkey brain.

Authors:  Kurt G Schilling; Yurui Gao; Iwona Stepniewska; Vaibhav Janve; Bennett A Landman; Adam W Anderson
Journal:  Magn Reson Imaging       Date:  2018-09-10       Impact factor: 2.546

2.  Connectome-Based Patterns of First-Episode Medication-Naïve Patients With Schizophrenia.

Authors:  Long-Biao Cui; Yongbin Wei; Yi-Bin Xi; Alessandra Griffa; Siemon C De Lange; René S Kahn; Hong Yin; Martijn P Van den Heuvel
Journal:  Schizophr Bull       Date:  2019-10-24       Impact factor: 9.306

Review 3.  Cortical chemoarchitecture shapes macroscale effective functional connectivity patterns in macaque cerebral cortex.

Authors:  Elise Turk; Lianne H Scholtens; Martijn P van den Heuvel
Journal:  Hum Brain Mapp       Date:  2016-03-11       Impact factor: 5.038

4.  Brain connections derived from diffusion MRI tractography can be highly anatomically accurate-if we know where white matter pathways start, where they end, and where they do not go.

Authors:  Kurt G Schilling; Laurent Petit; Francois Rheault; Samuel Remedios; Carlo Pierpaoli; Adam W Anderson; Bennett A Landman; Maxime Descoteaux
Journal:  Brain Struct Funct       Date:  2020-08-20       Impact factor: 3.270

5.  Task-related effective connectivity reveals that the cortical rich club gates cortex-wide communication.

Authors:  Mario Senden; Niels Reuter; Martijn P van den Heuvel; Rainer Goebel; Gustavo Deco; Matthieu Gilson
Journal:  Hum Brain Mapp       Date:  2017-12-08       Impact factor: 5.038

6.  Unique white matter microstructural patterns in ADHD presentations-a diffusion tensor imaging study.

Authors:  Alena Svatkova; Igor Nestrasil; Kyle Rudser; Jodene Goldenring Fine; Jesse Bledsoe; Margaret Semrud-Clikeman
Journal:  Hum Brain Mapp       Date:  2016-05-09       Impact factor: 5.038

7.  Tracking and validation techniques for topographically organized tractography.

Authors:  Dogu Baran Aydogan; Yonggang Shi
Journal:  Neuroimage       Date:  2018-07-02       Impact factor: 6.556

8.  Mapping population-based structural connectomes.

Authors:  Zhengwu Zhang; Maxime Descoteaux; Jingwen Zhang; Gabriel Girard; Maxime Chamberland; David Dunson; Anuj Srivastava; Hongtu Zhu
Journal:  Neuroimage       Date:  2018-02-03       Impact factor: 6.556

9.  Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth.

Authors:  Graham L Baum; Rastko Ciric; David R Roalf; Richard F Betzel; Tyler M Moore; Russell T Shinohara; Ari E Kahn; Simon N Vandekar; Petra E Rupert; Megan Quarmley; Philip A Cook; Mark A Elliott; Kosha Ruparel; Raquel E Gur; Ruben C Gur; Danielle S Bassett; Theodore D Satterthwaite
Journal:  Curr Biol       Date:  2017-05-25       Impact factor: 10.834

10.  Rostro-caudal Architecture of the Frontal Lobes in Humans.

Authors:  Michel Thiebaut de Schotten; Marika Urbanski; Benedicte Batrancourt; Richard Levy; Bruno Dubois; Leonardo Cerliani; Emmanuelle Volle
Journal:  Cereb Cortex       Date:  2017-08-01       Impact factor: 5.357

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