Literature DB >> 18714327

Applications of real-time fMRI.

R Christopher deCharms1.   

Abstract

For centuries people have aspired to understand and control the functions of the mind and brain. It has now become possible to image the functioning of the human brain in real time using functional MRI (fMRI), and thereby to access both sides of the mind-brain interface--subjective experience (that is, one's mind) and objective observations (that is, external, quantitative measurements of one's brain activity)--simultaneously. Developments in neuroimaging are now being translated into many new potential practical applications, including the reading of brain states, brain-computer interfaces, communicating with locked-in patients, lie detection, and learning control over brain activation to modulate cognition or even treat disease.

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Year:  2008        PMID: 18714327     DOI: 10.1038/nrn2414

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


  99 in total

1.  Quantification of adverse events associated with functional MRI scanning and with real-time fMRI-based training.

Authors:  Jon E Hawkinson; Amy J Ross; Sudharshan Parthasarathy; David J Scott; Ella A Laramee; Lainie J Posecion; William R Rekshan; Kristen E Sheau; Nkechi D Njaka; Peter J Bayley; R Christopher deCharms
Journal:  Int J Behav Med       Date:  2012-09

Review 2.  MRI studies in late-life mood disorders.

Authors:  Carmen Andreescu; Howard Aizenstein
Journal:  Curr Top Behav Neurosci       Date:  2012

Review 3.  Brain computer interfaces, a review.

Authors:  Luis Fernando Nicolas-Alonso; Jaime Gomez-Gil
Journal:  Sensors (Basel)       Date:  2012-01-31       Impact factor: 3.576

4.  Adaptation of a haptic robot in a 3T fMRI.

Authors:  Joseph Snider; Markus Plank; Larry May; Thomas T Liu; Howard Poizner
Journal:  J Vis Exp       Date:  2011-10-04       Impact factor: 1.355

5.  Social reinforcement can regulate localized brain activity.

Authors:  Krystyna A Mathiak; Yury Koush; Miriam Dyck; Tilman J Gaber; Eliza Alawi; Florian D Zepf; Mikhail Zvyagintsev; Klaus Mathiak
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2010-10-09       Impact factor: 5.270

6.  Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief.

Authors:  P K Douglas; Sam Harris; Alan Yuille; Mark S Cohen
Journal:  Neuroimage       Date:  2010-11-10       Impact factor: 6.556

7.  Randomized Clinical Trial of Real-Time fMRI Amygdala Neurofeedback for Major Depressive Disorder: Effects on Symptoms and Autobiographical Memory Recall.

Authors:  Kymberly D Young; Greg J Siegle; Vadim Zotev; Raquel Phillips; Masaya Misaki; Han Yuan; Wayne C Drevets; Jerzy Bodurka
Journal:  Am J Psychiatry       Date:  2017-04-14       Impact factor: 18.112

8.  Intermittent "real-time" fMRI feedback is superior to continuous presentation for a motor imagery task: a pilot study.

Authors:  Kevin A Johnson; Karen Hartwell; Todd LeMatty; Jeffrey Borckardt; Paul S Morgan; Koushik Govindarajan; Kathleen Brady; Mark S George
Journal:  J Neuroimaging       Date:  2010-10-26       Impact factor: 2.486

9.  Optical-imaging-based neurofeedback to enhance therapeutic intervention in adolescents with autism: methodology and initial data.

Authors:  Ning Liu; Sarit Cliffer; Anjali H Pradhan; Amy Lightbody; Scott S Hall; Allan L Reiss
Journal:  Neurophotonics       Date:  2016-08-17       Impact factor: 3.593

10.  Improving visual perception through neurofeedback.

Authors:  Frank Scharnowski; Chloe Hutton; Oliver Josephs; Nikolaus Weiskopf; Geraint Rees
Journal:  J Neurosci       Date:  2012-12-05       Impact factor: 6.167

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