Assessing the spatiotemporal evolution of neuronal activation with single-trial event-related potentials and functional MRI

被引:232
作者
Eichele, T [1 ]
Specht, K
Moosmann, M
Jongsma, MLA
Quiroga, RQ
Nordby, H
Hugdahl, K
机构
[1] Univ Bergen, Dept Biol & Med Psychol, N-5009 Bergen, Norway
[2] Charite, Berlin Neuroimaging Ctr, D-10117 Berlin, Germany
[3] Radboud Univ Nijmegen, Dept Biol Psychol, Nijmegen Inst Cognit & Informat, NL-6500 HE Nijmegen, Netherlands
[4] Univ Leicester, Dept Engn, Leicester LE1 7RH, Leics, England
[5] Haukeland Hosp, Div Psychiat, N-5009 Bergen, Norway
关键词
multimodal imaging; P3 pattern learning; target detection;
D O I
10.1073/pnas.0505508102
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The brain acts as an integrated information processing system, which methods in cognitive neuroscience have so far depicted in a fragmented fashion. Here, we propose a simple and robust way to integrate functional MRI (fMRI) with single trial event-related potentials (ERP) to provide a more complete spatiotemporal characterization of evoked responses in the human brain. The idea behind the approach is to find brain regions whose fMRI responses can be predicted by paradigm-induced amplitude modulations of simultaneously acquired single trial ERPs. The method was used to study a variant of a two-stimulus auditory target detection (odd-ball) paradigm that manipulated predictability through alternations of stimulus sequences with random or regular target-to-target intervals. In addition to electrophysiologic and hemodynamic evoked responses to auditory targets per se, single-trial modulations were expressed during the latencies of the P2 (170-ms N2 (200-ms), and P3 (320-ms) components and predicted spatially separated fMRI activation patterns. These spatiotemporal matches, i.e., the prediction of hemodynamic activation by time-variant information from single trial ERPs, permit inferences about regional responses using fMRI with the temporal resolution provided by electrophysiology.
引用
收藏
页码:17798 / 17803
页数:6
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