Literature DB >> 19938211

Seven topics in functional magnetic resonance imaging.

Peter A Bandettini1.   

Abstract

Functional MRI (fMRI) is a non-invasive brain imaging methodology that started in 1991 and allows human brain activation to be imaged at high resolution within only a few minutes. Because it has extremely high sensitivity, is relatively easy to implement, and can be performed on most standard clinical MRI scanners. It continues to grow at an explosive rate throughout the world. Over the years, at any given time, fMRI has been defined by only a handful of major topics that have been the focus of researchers using and developing the methodology. In this review, I attempt to take a snapshot of the field of fMRI as it is in mid-2009 by discussing the seven topics that I feel are most on the minds of fMRI researchers. The topics are, in no particular order or grouping: (1) Clinical impact, (2) Utilization of individual functional maps, (3) fMRI signal interpretation, (4) Pattern effect mapping and decoding, (5) Endogenous oscillations, (6) MRI technology, and (7) Alternative functional contrast mechanisms. Most of these topics are highly interdependent, each advancing as the others advance. While most fMRI involves applications towards clinical or neuroscience questions, all applications are fundamentally dependent on advances in basic methodology as well as advances in our understanding of the relationship between neuronal activity and fMRI signal changes. This review neglects almost completely an in-depth discussion of applications. Rather the discussions are on the methods and interpretation.

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Year:  2009        PMID: 19938211      PMCID: PMC3143579          DOI: 10.1142/s0219635209002186

Source DB:  PubMed          Journal:  J Integr Neurosci        ISSN: 0219-6352            Impact factor:   2.117


  153 in total

1.  Real-time fMRI using brain-state classification.

Authors:  Stephen M LaConte; Scott J Peltier; Xiaoping P Hu
Journal:  Hum Brain Mapp       Date:  2007-10       Impact factor: 5.038

2.  Synchronized delta oscillations correlate with the resting-state functional MRI signal.

Authors:  Hanbing Lu; Yantao Zuo; Hong Gu; James A Waltz; Wang Zhan; Clara A Scholl; William Rea; Yihong Yang; Elliot A Stein
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-08       Impact factor: 11.205

3.  Combining the tools: activation- and information-based fMRI analysis.

Authors:  Nikolaus Kriegeskorte; Peter Bandettini
Journal:  Neuroimage       Date:  2007-07-14       Impact factor: 6.556

4.  A simple view of the brain through a frequency-specific functional connectivity measure.

Authors:  R Salvador; A Martínez; E Pomarol-Clotet; J Gomar; F Vila; S Sarró; A Capdevila; E Bullmore
Journal:  Neuroimage       Date:  2007-08-25       Impact factor: 6.556

Review 5.  Theoretical, statistical, and practical perspectives on pattern-based classification approaches to the analysis of functional neuroimaging data.

Authors:  Alice J O'Toole; Fang Jiang; Hervé Abdi; Nils Pénard; Joseph P Dunlop; Marc A Parent
Journal:  J Cogn Neurosci       Date:  2007-11       Impact factor: 3.225

6.  The ins and outs of fMRI signals.

Authors:  Nikos K Logothetis
Journal:  Nat Neurosci       Date:  2007-10       Impact factor: 24.884

7.  Intrinsic fluctuations within cortical systems account for intertrial variability in human behavior.

Authors:  Michael D Fox; Abraham Z Snyder; Justin L Vincent; Marcus E Raichle
Journal:  Neuron       Date:  2007-10-04       Impact factor: 17.173

Review 8.  Analyzing for information, not activation, to exploit high-resolution fMRI.

Authors:  Nikolaus Kriegeskorte; Peter Bandettini
Journal:  Neuroimage       Date:  2007-02-27       Impact factor: 6.556

9.  Improving functional magnetic resonance imaging motor studies through simultaneous electromyography recordings.

Authors:  Bradley J MacIntosh; S Nicole Baker; Richard Mraz; John R Ives; Anne L Martel; William E McIlroy; Simon J Graham
Journal:  Hum Brain Mapp       Date:  2007-09       Impact factor: 5.038

10.  Resting-state functional connectivity of the rat brain.

Authors:  Christopher P Pawela; Bharat B Biswal; Younghoon R Cho; Dennis S Kao; Rupeng Li; Seth R Jones; Marie L Schulte; Hani S Matloub; Anthony G Hudetz; James S Hyde
Journal:  Magn Reson Med       Date:  2008-05       Impact factor: 4.668

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  6 in total

1.  Fast, fully Bayesian spatiotemporal inference for fMRI data.

Authors:  Donald R Musgrove; John Hughes; Lynn E Eberly
Journal:  Biostatistics       Date:  2015-11-09       Impact factor: 5.899

2.  The orthographic sensitivity to written Chinese in the occipital-temporal cortex.

Authors:  Haicheng Liu; Yi Jiang; Bo Zhang; Lifei Ma; Sheng He; Xuchu Weng
Journal:  Exp Brain Res       Date:  2013-04-27       Impact factor: 1.972

3.  Brain active transmembrane water cycling measured by MR is associated with neuronal activity.

Authors:  Ruiliang Bai; Charles S Springer; Dietmar Plenz; Peter J Basser
Journal:  Magn Reson Med       Date:  2018-09-08       Impact factor: 4.668

4.  Assessing the sensitivity of diffusion MRI to detect neuronal activity directly.

Authors:  Ruiliang Bai; Craig V Stewart; Dietmar Plenz; Peter J Basser
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-03       Impact factor: 11.205

Review 5.  Auditory neuroimaging with fMRI and PET.

Authors:  Thomas M Talavage; Javier Gonzalez-Castillo; Sophie K Scott
Journal:  Hear Res       Date:  2013-09-27       Impact factor: 3.208

6.  The cognitive neuroscience toolkit for the neuroeconomist: A functional overview.

Authors:  Joseph W Kable
Journal:  J Neurosci Psychol Econ       Date:  2011
  6 in total

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