Mental chronometry

The first few years of fMRI were dominated by block design tasks that were essentially adapted from the PET literature. In 1995 the concept of acquiring single trials that took better advantage of fMRI's strengths was introduced. Single trials opened up the possibility of regressing fMRI timing extracted from hemodynamic responses with behavioral measures that were also acquired on a trial-by-trial basis. Utilizing the enhanced sensitivity of higher field MRI scanners, a number of us started to exploit this paradigm design to explore the temporal nature of processing in the human brain using fMRI of one to a few slices. I try to trace back the various events by which these studies came about and outline why the field stalled for almost a decade. With modern volumetric EPI techniques, there should be renewed interest in these types of studies for the study of whole brain temporal processing.

[1]  R. Turner,et al.  Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[2]  Adrian T. Lee,et al.  Discrimination of Large Venous Vessels in Time‐Course Spiral Blood‐Oxygen‐Level‐Dependent Magnetic‐Resonance Functional Neuroimaging , 1995, Magnetic resonance in medicine.

[3]  Stephen M. Smith,et al.  Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging , 2010, PloS one.

[4]  A. Georgopoulos,et al.  Time‐resolved fMRI of mental rotation , 1997, Neuroreport.

[5]  M. Posner Chronometric explorations of mind , 1978 .

[6]  R M Weisskoff,et al.  Ultra-fast imaging. , 1991, Magnetic resonance imaging.

[7]  Ravi S. Menon,et al.  Imaging function in the working brain with fMRI , 2001, Current Opinion in Neurobiology.

[8]  S E Petersen,et al.  Detection of cortical activation during averaged single trials of a cognitive task using functional magnetic resonance imaging. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[9]  Ravi S. Menon,et al.  Mental chronometry using latency-resolved functional MRI. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[10]  G. McCarthy,et al.  Dynamic mapping of the human visual cortex by high-speed magnetic resonance imaging. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Ravi S. Menon,et al.  Spatial and temporal limits in cognitive neuroimaging with fMRI , 1999, Trends in Cognitive Sciences.

[12]  Ravi S. Menon,et al.  Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[13]  D. Ts'o,et al.  Cortical functional architecture and local coupling between neuronal activity and the microcirculation revealed by in vivo high-resolution optical imaging of intrinsic signals. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[14]  S. Ogawa,et al.  BOLD Based Functional MRI at 4 Tesla Includes a Capillary Bed Contribution: Echo‐Planar Imaging Correlates with Previous Optical Imaging Using Intrinsic Signals , 1995, Magnetic resonance in medicine.

[15]  K. Uğurbil,et al.  Microvascular BOLD contribution at 4 and 7 T in the human brain: Gradient‐echo and spin‐echo fMRI with suppression of blood effects , 2003, Magnetic resonance in medicine.

[16]  Lawrence L. Wald,et al.  Event-related single-shot volumetric functional magnetic resonance inverse imaging of visual processing , 2008, NeuroImage.

[17]  E C Wong,et al.  Processing strategies for time‐course data sets in functional mri of the human brain , 1993, Magnetic resonance in medicine.