Latencies in fMRI time‐series: effect of slice acquisition order and perception

In BOLD fMRI a detailed analysis of the MRI signal time course sometimes shows time differences between different activated regions. Some researchers have suggested that these latencies could be used to infer the temporal order of activation of these cortical regions. Several effects must be considered, however, before interpreting these latencies. The effect of a slice‐dependent time shift (SDTS) with multi‐slice acquisitions, for instance, may be important for regions located on different slices. After correction for this SDTS effect the time dispersion between activated regions is significantly decreased and the correlation between the MRI signal time course and the stimulation paradigm is improved. Another effect to consider is the latency which may exist between perception and stimulus presentation. It is shown that the control of perception can be achieved using a finger‐spanning technique during the fMRI acquisition. The use of this perception profile rather than an arbitrary waveform derived from the paradigm proves to be a powerful alternative to fMRI data processing, especially with chemical senses studies, when return to baseline is not always correlated to stimulus suppression. This approach should also be relevant to other kinds of stimulation tasks, as a realistic way of monitoring the actual task performance, which may depend on attention, adaptation, fatigue or even variability of stimulus presentation. © 1997 John Wiley & Sons, Ltd.

[1]  M. Erb,et al.  fMRI of sequential activation of supplementary motor area and primary motor cortex during voluntary movement , 1996, NeuroImage.

[2]  Mark Hallett,et al.  A functional magnetic resonance imaging study of cortical regions associated with motor task execution and motor ideation in humans , 1995 .

[3]  J. Binder,et al.  Functional magnetic resonance imaging of complex human movements , 1993, Neurology.

[4]  A. Faurion,et al.  Taste as a highly discriminative system: a hamster intrapapillar single unit study with 18 compounds , 1990, Brain Research.

[5]  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.

[6]  Ralph Norgren,et al.  25 – Gustatory System , 1990 .

[7]  J W Belliveau,et al.  Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging. , 1995, Science.

[8]  R. Schülke [Anatomy and physiology]. , 1968, Zahntechnik; Zeitschrift fur Theorie und Praxis der wissenschaftlichen Zahntechnik.

[9]  Goran Hellekant,et al.  Chorda tympani proper nerve responses to intra-arterial and surface stimulation of the tongue in rhesus monkey and rat , 1986 .

[10]  E. Moulines,et al.  Detection of periodic signals in brain echo-planar functional images , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  Hisashi Ogawa,et al.  Gustatory cortex of primates: anatomy and physiology , 1994, Neuroscience Research.

[12]  Sachiko Saito,et al.  Sweet taste involves several distinct receptor mechanisms , 1980 .

[13]  Jan H.A. Kroeze,et al.  The taste of sodium chloride: masking and adaptation , 1978 .

[14]  J Frahm,et al.  Functional mri of human brain activation combining high spatial and temporal resolution by a cine flash technique , 1995, Magnetic resonance in medicine.

[15]  G. Birch,et al.  Intensity/time relationships in sweetness: evidence for a queue hypothesis in taste chemoreception , 1980 .

[16]  D Le Bihan,et al.  Activation of human primary visual cortex during visual recall: a magnetic resonance imaging study. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[17]  P. Mansfield,et al.  Echo‐Volumar Imaging (EVI) of the Brain at 3.0 T: First Normal Volunteer and Functional Imaging Results , 1995, Journal of computer assisted tomography.

[18]  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.

[19]  J. Hennig,et al.  Observation of a fast response in functional MR , 1994, Magnetic resonance in medicine.

[20]  Karl J. Friston,et al.  Analysis of functional MRI time‐series , 1994, Human Brain Mapping.

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

[22]  Masaaki Yoshida A microcomputer (PC 9801/MS mouse) system to record and analyze time-intensity curves of sweetness , 1986 .

[23]  P R Biondetti,et al.  Infiltrative angiolipoma of the thoracoabdominal wall. , 1982, Journal of computer assisted tomography.

[24]  Society of magnetic resonance in medicine , 1990 .

[25]  A. Karni,et al.  Applications of magnetic resonance imaging to the study of human brain function , 1995, Current Opinion in Neurobiology.

[26]  K. Kwong Functional magnetic resonance imaging with echo planar imaging. , 1995, Magnetic resonance quarterly.