Literature DB >> 26888611

Modern Methods for Interrogating the Human Connectome.

Mark J Lowe1, Ken E Sakaie1, Erik B Beall1, Vince D Calhoun2, David A Bridwell2, Mikail Rubinov3, Stephen M Rao4.   

Abstract

OBJECTIVES: Connectionist theories of brain function took hold with the seminal contributions of Norman Geschwind a half century ago. Modern neuroimaging techniques have expanded the scientific interest in the study of brain connectivity to include the intact as well as disordered brain.
METHODS: In this review, we describe the most common techniques used to measure functional and structural connectivity, including resting state functional MRI, diffusion MRI, and electroencephalography and magnetoencephalography coherence. We also review the most common analytical approaches used for examining brain interconnectivity associated with these various imaging methods.
RESULTS: This review presents a critical analysis of the assumptions, as well as methodological limitations, of each imaging and analysis approach.
CONCLUSIONS: The overall goal of this review is to provide the reader with an introduction to evaluating the scientific methods underlying investigations that probe the human connectome.

Entities:  

Keywords:  Complex network analysis; Diffusion MRI; EEG/MEG coherence; Human connectome; Independent components analysis; Resting state fMRI

Mesh:

Year:  2016        PMID: 26888611      PMCID: PMC4827018          DOI: 10.1017/S1355617716000060

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  149 in total

1.  EEG coherency II: experimental comparisons of multiple measures.

Authors:  P L Nunez; R B Silberstein; Z Shi; M R Carpenter; R Srinivasan; D M Tucker; S M Doran; P J Cadusch; R S Wijesinghe
Journal:  Clin Neurophysiol       Date:  1999-03       Impact factor: 3.708

Review 2.  The brainweb: phase synchronization and large-scale integration.

Authors:  F Varela; J P Lachaux; E Rodriguez; J Martinerie
Journal:  Nat Rev Neurosci       Date:  2001-04       Impact factor: 34.870

3.  Functional connectivity patterns of human magnetoencephalographic recordings: a 'small-world' network?

Authors:  C J Stam
Journal:  Neurosci Lett       Date:  2004-01-23       Impact factor: 3.046

4.  CORSICA: correction of structured noise in fMRI by automatic identification of ICA components.

Authors:  Vincent Perlbarg; Pierre Bellec; Jean-Luc Anton; Mélanie Pélégrini-Issac; Julien Doyon; Habib Benali
Journal:  Magn Reson Imaging       Date:  2006-11-30       Impact factor: 2.546

5.  Analysis of fMRI data by blind separation into independent spatial components.

Authors:  M J McKeown; S Makeig; G G Brown; T P Jung; S S Kindermann; A J Bell; T J Sejnowski
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

6.  Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI.

Authors:  Raimon H R Pruim; Maarten Mennes; Jan K Buitelaar; Christian F Beckmann
Journal:  Neuroimage       Date:  2015-03-11       Impact factor: 6.556

7.  Spontaneous waves of cerebral blood flow associated with a pattern of electrocortical activity.

Authors:  E V Golanov; S Yamamoto; D J Reis
Journal:  Am J Physiol       Date:  1994-01

Review 8.  Human connectomics.

Authors:  Timothy E J Behrens; Olaf Sporns
Journal:  Curr Opin Neurobiol       Date:  2011-09-09       Impact factor: 6.627

9.  Adaptive reconfiguration of fractal small-world human brain functional networks.

Authors:  Danielle S Bassett; Andreas Meyer-Lindenberg; Sophie Achard; Thomas Duke; Edward Bullmore
Journal:  Proc Natl Acad Sci U S A       Date:  2006-12-11       Impact factor: 11.205

10.  Network 'small-world-ness': a quantitative method for determining canonical network equivalence.

Authors:  Mark D Humphries; Kevin Gurney
Journal:  PLoS One       Date:  2008-04-30       Impact factor: 3.240

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  9 in total

1.  Towards a unified model of event-related potentials as phases of stimulus-to-response processing.

Authors:  Brittany K Taylor; William J Gavin; Kevin J Grimm; Mark A Prince; Mei-Heng Lin; Patricia L Davies
Journal:  Neuropsychologia       Date:  2019-06-20       Impact factor: 3.139

2.  Different brain networks underlying intelligence in autism spectrum disorders.

Authors:  Emmanuel Peng Kiat Pua; Charles B Malpas; Stephen C Bowden; Marc L Seal
Journal:  Hum Brain Mapp       Date:  2018-04-17       Impact factor: 5.038

3.  Future Directions for Chemosensory Connectomes: Best Practices and Specific Challenges.

Authors:  Maria G Veldhuizen; Cinzia Cecchetto; Alexander W Fjaeldstad; Michael C Farruggia; Renée Hartig; Yuko Nakamura; Robert Pellegrino; Andy W K Yeung; Florian Ph S Fischmeister
Journal:  Front Syst Neurosci       Date:  2022-05-30

4.  Global Network Organization of the Fetal Functional Connectome.

Authors:  Josepheen De Asis-Cruz; Nicole Andersen; Kushal Kapse; Dhineshvikram Khrisnamurthy; Jessica Quistorff; Catherine Lopez; Gilbert Vezina; Catherine Limperopoulos
Journal:  Cereb Cortex       Date:  2021-05-10       Impact factor: 5.357

5.  Characterization and correction of the false-discovery rates in resting state connectivity using functional near-infrared spectroscopy.

Authors:  Hendrik Santosa; Ardalan Aarabi; Susan B Perlman; Theodore J Huppert
Journal:  J Biomed Opt       Date:  2017-05-01       Impact factor: 3.170

Review 6.  Inferring the Dysconnection Syndrome in Schizophrenia: Interpretational Considerations on Methods for the Network Analyses of fMRI Data.

Authors:  Brian H Silverstein; Steven L Bressler; Vaibhav A Diwadkar
Journal:  Front Psychiatry       Date:  2016-08-03       Impact factor: 5.435

7.  Data-driven approaches for identifying links between brain structure and function in health and disease.

Authors:  Vincent Calhoun
Journal:  Dialogues Clin Neurosci       Date:  2018-06       Impact factor: 5.986

8.  A brain connectivity characterization of children with different levels of mathematical achievement based on graph metrics.

Authors:  Sulema Torres-Ramos; Ricardo A Salido-Ruiz; Aurora Espinoza-Valdez; Fabiola R Gómez-Velázquez; Andrés A González-Garrido; Israel Román-Godínez
Journal:  PLoS One       Date:  2020-01-17       Impact factor: 3.240

9.  Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices.

Authors:  Scott L Tozzi; Scott L Fleming; Zachary D Taylor; Cooper D Raterink; Leanne M Williams
Journal:  Netw Neurosci       Date:  2020-09-01
  9 in total

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