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Spatial and Temporal Limitations of Functional MRI

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Head motion, susceptibility artifacts, instrumental instability ... vasculature difference? processing latency? What are the temporal limits of detection? ... – PowerPoint PPT presentation

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Title: Spatial and Temporal Limitations of Functional MRI


1
Spatial and Temporal Limitations of Functional MRI
  • Sensitivity (Contrast-to-noise ratio)
  • BOLD signal change is 0-5
  • Noise in single-shot EPI images is 1
  • - Physiological pulsations (cardiac and
    respiratory)
  • - Head motion, susceptibility artifacts,
    instrumental instability
  • Speed and spatial resolution of image acquisition
  • T2 effects must accumulate, TR limited
  • K-space coverage (gradient performance) limits
    potential spatial resolution
  • - Auditory noise, neuro-stimulation limits
  • Specificity wrt. neural activity
  • Location of activation
  • Timing of activation

2
P. Bandettini
3
Neuronal activity to BOLD measurement
Brain activity
Oxygen consumption
Cerebral blood flow
Oxyhemoglobin Deoxyhemoglobin
Magnetic susceptibility
T2
MRI signal intesity
4
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5
R. Menon, S. Kim
6
Oxyhemoglobin and Deoxyhemoglobin during Brain
Activation
in
out
Rest
Normal blood flow
Activation
High blood flow
Oxyhemoglobin Deoxyhemoglobin
7
  • Flow increase due to flow velocity more than
    increase in capillary volume/diameters
  • Probably controlled at arteriole supplying 1 mm3
    or so of cortex. This limits potential spatial
    resolution
  • BOLD T2 effects occur downstream of neural
    activity, with a corresponding delay

8
Hemodynamic response latency variability
P. Bandettini
9
P. Bandettini
10
Variability of HRF Evidence
  • Aguirre, Zarahn DEsposito, 1998
  • HRF shows considerable variability between
    subjects

different subjects
  • Within subjects, responses are more consistent,
    although there is still some variability between
    sessions

same subject, same session
same subject, different session
11
Variability of HRF Implications
  • Aguirre, Zarahn DEsposito, 1998
  • Generic HRF models (gamma functions) account for
    70 of variance
  • Subject-specific models account for 92 of the
    variance (22 more!)
  • Poor modeling reduces statistical power
  • Less of a problem for block designs than
    event-related
  • Possible solution model the HRF individually
    for each subject
  • Caveat HRF also varies
  • between areas, not just subjects
  • - Buckner et al., 1996
  • noted a delay of .5-1 sec between
  • visual and prefrontal regions
  • vasculature difference?
  • processing latency?

12
What are the temporal limits of detection?
The shape of the HRF is predictable, but with
variable latency.
What is the briefest stimulus that fMRI can
detect? Blamire et al. (1992) 2 sec Bandettini
(1993) 0.5 sec Savoy et al (1995) 34 msec
With enough averaging anything seems possible.
13
Resolving cortical columns about the best
spatial resolution possible, poor temporal
resolution
Duong et al. PNAS 2001
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