Literature DB >> 21743814

Functional Magnetic Resonance Imaging - Implications for Detection of Schizophrenia.

Oguz Demirci1, Vince D Calhoun.   

Abstract

Functional magnetic resonance imaging (fMRI) is an invaluable non-invasive instrument that has been used to investigate physiological disturbances that lead to manifest psychiatric illnesses. It is hoped that efficient application of fMRI can be utilised to characterise and diagnose mental illnesses such as schizophrenia. Although there are various fMRI research studies presenting very promising diagnosis results for schizophrenia, we believe that there is much to be done to develop effective diagnostic tools for clinical purposes. We present specific examples based mostly on our past and recent work together with various examples from the recent literature. We discuss where we currently stand in the efforts of fMRI being used for diagnosis of schizophrenia, examine common possible biases and offer some solutions with the hope that fMRI can be more efficiently used in diagnostic research.

Entities:  

Year:  2009        PMID: 21743814      PMCID: PMC3130309          DOI: 10.17925/enr.2009.04.02.103

Source DB:  PubMed          Journal:  Eur Neurol Rev        ISSN: 1758-3837


  8 in total

1.  Brain magnetic resonance imaging with contrast dependent on blood oxygenation.

Authors:  S Ogawa; T M Lee; A R Kay; D W Tank
Journal:  Proc Natl Acad Sci U S A       Date:  1990-12       Impact factor: 11.205

2.  Classification of functional brain images with a spatio-temporal dissimilarity map.

Authors:  Svetlana V Shinkareva; Hernando C Ombao; Bradley P Sutton; Aprajita Mohanty; Gregory A Miller
Journal:  Neuroimage       Date:  2006-08-14       Impact factor: 6.556

3.  Reducing interscanner variability of activation in a multicenter fMRI study: controlling for signal-to-fluctuation-noise-ratio (SFNR) differences.

Authors:  Lee Friedman; Gary H Glover
Journal:  Neuroimage       Date:  2006-09-06       Impact factor: 6.556

4.  Synchronous neural interactions assessed by magnetoencephalography: a functional biomarker for brain disorders.

Authors:  Apostolos P Georgopoulos; Elissaios Karageorgiou; Arthur C Leuthold; Scott M Lewis; Joshua K Lynch; Aurelio A Alonso; Zaheer Aslam; Adam F Carpenter; Angeliki Georgopoulos; Laura S Hemmy; Ioannis G Koutlas; Frederick J P Langheim; J Riley McCarten; Susan E McPherson; José V Pardo; Patricia J Pardo; Gareth J Parry; Susan J Rottunda; Barbara M Segal; Scott R Sponheim; John J Stanwyck; Massoud Stephane; Joseph J Westermeyer
Journal:  J Neural Eng       Date:  2007-08-27       Impact factor: 5.379

5.  Functional MR imaging of confounded hypofrontality.

Authors:  E Bullmore; M Brammer; S C Williams; V Curtis; P McGuire; R Morris; R Murray; T Sharma
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

6.  Multivariate examination of brain abnormality using both structural and functional MRI.

Authors:  Yong Fan; Hengyi Rao; Hallam Hurt; Joan Giannetta; Marc Korczykowski; David Shera; Brian B Avants; James C Gee; Jiongjiong Wang; Dinggang Shen
Journal:  Neuroimage       Date:  2007-04-19       Impact factor: 6.556

7.  Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.

Authors:  Dominic E Job; Heather C Whalley; Andrew M McIntosh; David G C Owens; Eve C Johnstone; Stephen M Lawrie
Journal:  BMC Med       Date:  2006-12-07       Impact factor: 8.775

8.  A projection pursuit algorithm to classify individuals using fMRI data: Application to schizophrenia.

Authors:  Oguz Demirci; Vincent P Clark; Vince D Calhoun
Journal:  Neuroimage       Date:  2008-02-15       Impact factor: 6.556

  8 in total
  4 in total

1.  Hierarchical Structured Sparse Learning for Schizophrenia Identification.

Authors:  Mingliang Wang; Xiaoke Hao; Jiashuang Huang; Kangcheng Wang; Li Shen; Xijia Xu; Daoqiang Zhang; Mingxia Liu
Journal:  Neuroinformatics       Date:  2020-01

2.  Identify schizophrenia using resting-state functional connectivity: an exploratory research and analysis.

Authors:  Yan Tang; Lifeng Wang; Fang Cao; Liwen Tan
Journal:  Biomed Eng Online       Date:  2012-08-16       Impact factor: 2.819

3.  Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms.

Authors:  Mina Gheiratmand; Irina Rish; Guillermo A Cecchi; Matthew R G Brown; Russell Greiner; Pablo I Polosecki; Pouya Bashivan; Andrew J Greenshaw; Rajamannar Ramasubbu; Serdar M Dursun
Journal:  NPJ Schizophr       Date:  2017-05-16

Review 4.  Towards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject level.

Authors:  Eleni Zarogianni; Thomas W J Moorhead; Stephen M Lawrie
Journal:  Neuroimage Clin       Date:  2013-09-13       Impact factor: 4.881

  4 in total

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