Warning: Undefined variable $zfal in C:\Inetpub\vhosts\kidney.de\httpdocs\mlpefetch.php on line 525
Deprecated: str_replace(): Passing null to parameter #3 ($subject) of type array|string is deprecated in C:\Inetpub\vhosts\kidney.de\httpdocs\mlpefetch.php on line 525

Warning: Undefined variable $sterm in C:\Inetpub\vhosts\kidney.de\httpdocs\mlpefetch.php on line 530
free
Warning: Undefined variable $sterm in C:\Inetpub\vhosts\kidney.de\httpdocs\mlpefetch.php on line 531
free
free
Warning: file_get_contents(http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=10466147&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
in C:\Inetpub\vhosts\kidney.de\httpdocs\mlpefetch.php on line 445
  English Wikipedia
Nephropedia Template TP (
Twit Text
DeepDyve Pubget Overpricing |   
l�ll Event-related functional magnetic resonance imaging: modelling, inference and optimization Josephs O; Henson RNPhilos Trans R Soc Lond B Biol Sci 1999[Jul]; 354 (1387): 1215-28Event-related functional magnetic resonance imaging is a recent and popular technique for detecting haemodynamic responses to brief stimuli or events. However, the design of event-related experiments requires careful consideration of numerous issues of measurement, modelling and inference. Here we review these issues, with particular emphasis on the use of basis functions within a general linear modelling framework to model and make inferences about the haemodynamic response. With these models in mind, we then consider how the properties of functional magnetic resonance imaging data determine the optimal experimental design for a specific hypothesis, in terms of stimulus ordering and interstimulus interval. Finally, we illustrate various event-related models with examples from recent studies.|Brain/blood supply/*physiology[MESH]|Cerebrovascular Circulation[MESH]|Echo-Planar Imaging[MESH]|Evoked Potentials/*physiology[MESH]|Hemodynamics[MESH]|Humans[MESH]|Linear Models[MESH]|Magnetic Resonance Imaging/*methods[MESH]|Models, Neurological[MESH] |