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A Weighted Least-Squares Algorithm for Estimation and Visualization of Relative Latencies in Event-Related
 

Summary: A Weighted Least-Squares Algorithm for Estimation and
Visualization of Relative Latencies in Event-Related
Functional MRI
V. Calhoun,1,3* T. Adali,3
M. Kraut,2
and G. Pearlson1
The properties of the hemodynamic latencies in functional maps
have been relatively unexplored. Accurate methods of estimating
hemodynamic latencies are needed to take advantage of this
feature of fMRI. A fully automated, weighted least-squares (WLS)
method for estimating temporal latencies is reported. Using a
weighted linear model, the optimal latency and amplitude of the
fMRI response can be determined for those voxels that pass a
detection threshold. There is evidence from previous studies that
the hemodynamic response may be time-locked to the stimulus
within certain limits, less variable earlier in its evolution, and able
to resolve information about relative hemodynamic timing. This
information can be used to test hypotheses about the sequence
and spatial distribution of neural activity. The method can be used
to weight the earliest evolution of the hemodynamic response

  

Source: Adali, Tulay - Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County

 

Collections: Engineering