Charles M. Adams

Dissociation of reward anticipation and outcome with event-related fMRI

Reward processing involves both appetitive and consummatory phases. We sought to examine whether reward anticipation vs outcomes would recruit different regions of ventral forebrain circuitry using event-related fMRI. Nine healthy volunteers participated in a monetary incentive delays task in which they either responded to a cued target for monetary reward, responded to a cued target for no reward, or did not respond to a cued target during scanning. Multiple regression analyses indicated that while anticipation of reward vs non-reward activated foci in the ventral striatum, reward vs non-reward outcomes activated foci in the ventromedial frontal cortex. These findings suggest that reward anticipation and outcomes may differentially recruit distinct regions that lie along the trajectory of ascending dopamine projections.

Volition to action--an event-related fMRI study.

Current concepts of the anterior cingulate cortex (ACC) increasingly emphasize its role as an interface between limbic and neocortical functions. It has been pointed out that ACC activation reflects the intentional amount of effort (volition) that a subject uses in a task. In previous electrophysiological source localization investigations during a choice reaction task, we described a strong early activation in the ACC region approximately 120-150 ms after stimulus presentation. The degree of midline ACC activation correlated negatively with reaction time. This observation together with the finding that ACC activation precedes information processing in cortical association areas provided preliminary support to the notion that the extent of ACC activation is related to a subjects task engagement. However, due to the inverse problem and the relatively low spatial resolution of the electrophysiological measurements, we were not able to make inferences about the validity and the exact localization of the observed midline activation maximum. We addressed this question and performed an event-related fMRI study in six healthy volunteers during a visual choice reaction task. Two checkerboard stimuli were presented either in the left or right visual hemifield in randomized order and with an interstimulus interval requiring an appropriate motor response (left-right button press). A bilateral BOLD maximum was observed in the region of the supplementary motor area confluent with the neighboring motor area of the dorsal ACC. The degree of ACC activation correlated significantly with reaction time. These results are in line with our previous electrophysiological findings and provide further evidence that early ACC activation during a choice reaction task reflects the intentional effort of a subject to carry out a task.

Improving spatial and temporal resolution in evoked EEG responses using surface Laplacians

Spline generated surface Laplacian temporal wave forms are presented as a method to improve both spatial and temporal resolution of evoked EEG responses. Middle latency and the N1 components of the auditory evoked response were used to compare potential-based methods with surface Laplacian methods in the time domain. Results indicate that surface Laplacians provide better estimates of underlying cortical activity than do potential wave forms. Spatial discrimination among electrode sites was markedly better with surface Laplacian than with potential wave forms. Differences in the number and latencies of peaks, and their topographic distributions, were observed for surface Laplacian, particularly during the time period encompassing the middle latency responses. Focal activities were observed in surface Laplacian wave forms and topographic maps which were in agreement with previous findings from auditory evoked response studies. Methodological issues surrounding the application of spline methods to the time domain are also discussed. Surface Laplacian methods in the time domain appear to provide an improved way for studying evoked EEG responses by increasing temporal and spatial resolution of component characteristics.