Functional MRI today.

Most brain imaging researchers would agree with the assertion that functional MRI (fMRI) is progressing. Since fMRI began in 1991, the number of people, papers, and abstracts related to fMRI has been increasing; the technology and methodology has shown advances in robustness and sophistication; the physiology of the signal is better understood; and, even though it hasn't yet made significant headway into the clinical setting, applications are widening. Questions that stem from this optimistic and perhaps overly general set of observations include those that ask what the ultimate theoretical and practical limits of fMRI are and how close are we to approaching these limits. In this commentary, I attempt to provide a snapshot of fMRI as it exists at the end of 2005, and to give a clear impression that not only are we progressing by "dotting the i's and crossing the t's" but that fundamental changes in fMRI methodology and processing are being put forth as the field matures.

[1]  Mark S. Cohen,et al.  Simultaneous EEG and fMRI of the alpha rhythm , 2002, Neuroreport.

[2]  Andreas Kleinschmidt,et al.  EEG-correlated fMRI of human alpha activity , 2003, NeuroImage.

[3]  J. Pekar,et al.  Sustained Poststimulus Elevation in Cerebral Oxygen Utilization after Vascular Recovery , 2004, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[4]  Peter C M van Zijl,et al.  Experimental measurement of extravascular parenchymal BOLD effects and tissue oxygen extraction fractions using multi‐echo VASO fMRI at 1.5 and 3.0 T , 2005, Magnetic resonance in medicine.

[5]  Bharat Biswal,et al.  Slow vasomotor fluctuation in fMRI of anesthetized child brain , 2000, Magnetic resonance in medicine.

[6]  Christine Preibisch,et al.  Functional MRI using sensitivity-encoded echo planar imaging (SENSE-EPI) , 2003, NeuroImage.

[7]  G. Aguirre,et al.  Experimental Design and the Relative Sensitivity of BOLD and Perfusion fMRI , 2002, NeuroImage.

[8]  O. Tervonen,et al.  Midazolam sedation increases fluctuation and synchrony of the resting brain BOLD signal. , 2005, Magnetic resonance imaging.

[9]  J. A. Frost,et al.  Conceptual Processing during the Conscious Resting State: A Functional MRI Study , 1999, Journal of Cognitive Neuroscience.

[10]  J. Pekar,et al.  Functional magnetic resonance imaging based on changes in vascular space occupancy , 2003, Magnetic resonance in medicine.

[11]  David D. Cox,et al.  Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex , 2003, NeuroImage.

[12]  Rainer Goebel,et al.  Information-based functional brain mapping. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[13]  Nikos K Logothetis,et al.  On the nature of the BOLD fMRI contrast mechanism. , 2004, Magnetic resonance imaging.

[14]  G. Rees,et al.  Predicting the Stream of Consciousness from Activity in Human Visual Cortex , 2005, Current Biology.

[15]  P. Fransson Spontaneous low‐frequency BOLD signal fluctuations: An fMRI investigation of the resting‐state default mode of brain function hypothesis , 2005, Human brain mapping.

[16]  K. Grill-Spector,et al.  fMR-adaptation: a tool for studying the functional properties of human cortical neurons. , 2001, Acta psychologica.

[17]  G. Crelier,et al.  Stimulus-Dependent BOLD and Perfusion Dynamics in Human V1 , 1999, NeuroImage.

[18]  A. Kleinschmidt,et al.  Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[19]  B. Biswal,et al.  Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.

[20]  F. Esposito,et al.  Functional MRI at High Field Strength , 2004 .

[21]  G. Glover,et al.  Physiological noise in oxygenation‐sensitive magnetic resonance imaging , 2001, Magnetic resonance in medicine.

[22]  D. Spencer,et al.  Repetition time in echo planar functional MRI , 2001, Magnetic resonance in medicine.

[23]  Rainer Goebel,et al.  Real-time independent component analysis of fMRI time-series , 2003, NeuroImage.

[24]  G. Rees,et al.  Predicting the orientation of invisible stimuli from activity in human primary visual cortex , 2005, Nature Neuroscience.

[25]  Dinggang Shen,et al.  Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection , 2005, NeuroImage.

[26]  Maurizio Corbetta,et al.  The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[27]  B. Argall,et al.  Unraveling multisensory integration: patchy organization within human STS multisensory cortex , 2004, Nature Neuroscience.

[28]  K. Uğurbil,et al.  High‐resolution, spin‐echo BOLD, and CBF fMRI at 4 and 7 T , 2002, Magnetic resonance in medicine.

[29]  Vesa Kiviniemi,et al.  Separation of physiological very low frequency fluctuation from aliasing by switched sampling interval fMRI scans. , 2005, Magnetic resonance imaging.

[30]  Peter Boesiger,et al.  Sensitivity-encoded (SENSE) echo planar fMRI at 3T in the medial temporal lobe , 2005, NeuroImage.

[31]  Xavier Golay,et al.  Reduction of magnetic field inhomogeneity artifacts in echo planar imaging with SENSE and GESEPI at high field , 2004, Magnetic resonance in medicine.

[32]  Nikos K Logothetis,et al.  Interpreting the BOLD signal. , 2004, Annual review of physiology.

[33]  F. Tong,et al.  Decoding the visual and subjective contents of the human brain , 2005, Nature Neuroscience.

[34]  G L Shulman,et al.  INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .

[35]  Peter A. Bandettini,et al.  Task-Independent Functional Brain Activity Correlation with Skin Conductance Changes: An fMRI Study , 2002, NeuroImage.

[36]  Xavier Golay,et al.  Multiple acquisitions with global inversion cycling (MAGIC): A multislice technique for vascular‐space‐occupancy dependent fMRI , 2004, Magnetic resonance in medicine.

[37]  Yi-Ching Lynn Ho,et al.  Parallel Imaging Techniques in Functional MRI , 2004, Topics in magnetic resonance imaging : TMRI.

[38]  Lars Kai Hansen,et al.  Optimizing the fMRI data-processing pipeline using prediction and reproducibility performance metrics: I. A preliminary group analysis , 2004, NeuroImage.

[39]  Tom M. Mitchell,et al.  Learning to Decode Cognitive States from Brain Images , 2004, Machine Learning.

[40]  A. Georgopoulos,et al.  Functional mapping in the human brain using high magnetic fields. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[41]  P. Bandettini,et al.  Understanding neural system dynamics through task modulation and measurement of functional MRI amplitude, latency, and width , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[42]  J. Binder,et al.  A Parametric Manipulation of Factors Affecting Task-induced Deactivation in Functional Neuroimaging , 2003, Journal of Cognitive Neuroscience.

[43]  David G Norris,et al.  High field human imaging , 2003, Journal of magnetic resonance imaging : JMRI.

[44]  A. Shmuel,et al.  Imaging brain function in humans at 7 Tesla , 2001, Magnetic resonance in medicine.

[45]  S. Ogawa,et al.  Insights into new techniques for high resolution functional MRI , 2002, Current Opinion in Neurobiology.

[46]  G. Crelier,et al.  Investigation of BOLD signal dependence on cerebral blood flow and oxygen consumption: The deoxyhemoglobin dilution model , 1999, Magnetic resonance in medicine.

[47]  M. Lowe,et al.  Spatially filtering functional magnetic resonance imaging data , 1997, Magnetic resonance in medicine.

[48]  Rainer Goebel,et al.  Cortex-based independent component analysis of fMRI time series. , 2004 .

[49]  J. Bodurka,et al.  Direct detection of neuronal activity with MRI: Fantasy, possibility, or reality? , 2005 .

[50]  Fu-Nien Wang,et al.  Functional MRI using regularized parallel imaging acquisition , 2005, Magnetic resonance in medicine.

[51]  Vesa Kiviniemi,et al.  Comparison of methods for detecting nondeterministic BOLD fluctuation in fMRI. , 2004, Magnetic resonance imaging.

[52]  R. Turner,et al.  Detecting Latency Differences in Event-Related BOLD Responses: Application to Words versus Nonwords and Initial versus Repeated Face Presentations , 2002, NeuroImage.

[53]  N. Logothetis,et al.  Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.

[54]  Robert A. Österbauer,et al.  Sensitivity‐encoded single‐shot spiral imaging for reduced susceptibility artifacts in BOLD fMRI , 2002, Magnetic resonance in medicine.

[55]  T. L. Davis,et al.  Calibrated functional MRI: mapping the dynamics of oxidative metabolism. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[56]  Gaohong Wu,et al.  Theoretical noise model for oxygenation‐sensitive magnetic resonance imaging , 2005, Magnetic resonance in medicine.

[57]  R. Buxton,et al.  Modeling the hemodynamic response to brain activation , 2004, NeuroImage.

[58]  R. Goebel,et al.  Tracking cognitive processes with functional MRI mental chronometry , 2003, Current Opinion in Neurobiology.

[59]  A. Ishai,et al.  Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex , 2001, Science.

[60]  HighWire Press Philosophical Transactions of the Royal Society of London , 1781, The London Medical Journal.

[61]  Gabriele Lohmann,et al.  The correlation between blood oxygenation level‐dependent signal strength and latency , 2005, Journal of magnetic resonance imaging : JMRI.

[62]  J. Duyn,et al.  Design of a SENSE‐optimized high‐sensitivity MRI receive coil for brain imaging , 2002, Magnetic resonance in medicine.

[63]  R. Malach,et al.  Intersubject Synchronization of Cortical Activity During Natural Vision , 2004, Science.

[64]  Renxin Chu,et al.  Scalable multichannel MRI data acquisition system , 2004, Magnetic resonance in medicine.