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Neuroimage. 2002 Jan;15(1):83-97.

Detecting latency differences in event-related BOLD responses: application to words versus nonwords and initial versus repeated face presentations.

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  • 1Wellcome Department of Cognitive Neurology, Institute of Cognitive Neuroscience, University College London, Queen Square, London WC1N 3BG, United Kingdom.


We introduce a new method for detecting differences in the latency of blood oxygenation level-dependent (BOLD) responses to brief events within the context of the General Linear Model. Using a first-order Taylor approximation in terms of the temporal derivative of a canonical hemodynamic response function, statistical parametric maps of differential latencies were estimated via the ratio of derivative to canonical parameter estimates. This method was applied to two example datasets: comparison of words versus nonwords in a lexical decision task and initial versus repeated presentations of faces in a fame-judgment task. Tests across subjects revealed both magnitude and latency differences within several brain regions. This approach offers a computationally efficient means of detecting BOLD latency differences over the whole brain. Precise characterization of the hemodynamic latency and its interpretation in terms of underlying neural differences remain problematic, however.

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