Literature DB >> 11836522

What does fMRI tell us about neuronal activity?

David J Heeger1, David Ress.   

Abstract

In recent years, cognitive neuroscientists have taken great advantage of functional magnetic resonance imaging (fMRI) as a non-invasive method of measuring neuronal activity in the human brain. But what exactly does fMRI tell us? We know that its signals arise from changes in local haemodynamics that, in turn, result from alterations in neuronal activity, but exactly how neuronal activity, haemodynamics and fMRI signals are related is unclear. It has been assumed that the fMRI signal is proportional to the local average neuronal activity, but many factors can influence the relationship between the two. A clearer understanding of how neuronal activity influences the fMRI signal is needed if we are correctly to interpret functional imaging data.

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Year:  2002        PMID: 11836522     DOI: 10.1038/nrn730

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  216 in total

1.  The hemodynamic inverse problem: making inferences about neural activity from measured MRI signals.

Authors:  Randy L Buckner
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-26       Impact factor: 11.205

2.  Cortical activation during rhythmic hand movements performed under three types of control: an fMRI study.

Authors:  R A Bernard; D A Goran; S T Sakai; T H Carr; D McFarlane; B Nordell; T G Cooper; E J Potchen
Journal:  Cogn Affect Behav Neurosci       Date:  2002-09       Impact factor: 3.282

3.  Brain areas activated in fMRI during self-regulation of slow cortical potentials (SCPs).

Authors:  Thilo Hinterberger; Ralf Veit; Ute Strehl; Tracy Trevorrow; Michael Erb; Boris Kotchoubey; Herta Flor; Niels Birbaumer
Journal:  Exp Brain Res       Date:  2003-06-27       Impact factor: 1.972

Review 4.  [Physiological and technical limitations of functional magnetic resonance imaging (fMRI)--consequences for clinical use].

Authors:  T Wüstenberg; K Jordan; F L Giesel; A Villringer
Journal:  Radiologe       Date:  2003-06-24       Impact factor: 0.635

5.  Response suppression in v1 agrees with psychophysics of surround masking.

Authors:  Barbara Zenger-Landolt; David J Heeger
Journal:  J Neurosci       Date:  2003-07-30       Impact factor: 6.167

Review 6.  The neural basis of the blood-oxygen-level-dependent functional magnetic resonance imaging signal.

Authors:  Nikos K Logothetis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

Review 7.  From Pavlov to PTSD: the extinction of conditioned fear in rodents, humans, and anxiety disorders.

Authors:  Michael B VanElzakker; M Kathryn Dahlgren; F Caroline Davis; Stacey Dubois; Lisa M Shin
Journal:  Neurobiol Learn Mem       Date:  2013-12-07       Impact factor: 2.877

8.  Group-wise FMRI activation detection on DICCCOL landmarks.

Authors:  Jinglei Lv; Lei Guo; Dajiang Zhu; Tuo Zhang; Xintao Hu; Junwei Han; Tianming Liu
Journal:  Neuroinformatics       Date:  2014-10

Review 9.  Cerebral network disorders after stroke: evidence from imaging-based connectivity analyses of active and resting brain states in humans.

Authors:  Anne K Rehme; Christian Grefkes
Journal:  J Physiol       Date:  2012-10-22       Impact factor: 5.182

10.  Endogenous attention signals evoked by threshold contrast detection in human superior colliculus.

Authors:  Sucharit Katyal; David Ress
Journal:  J Neurosci       Date:  2014-01-15       Impact factor: 6.167

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