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That the left prefrontal cortex has a critical role setting response criteria for numerous tasks has been well established, but gaps remain in our understanding of the brain mechanisms of task-setting. We aimed at (i) testing the involvement of this region in setting the criteria for a non-response and (ii) assessing functional connectivity between this and other brain regions involved in task-setting. Fourteen young participants performed a go/nogo task during functional magnetic resonance imaging. The task included two nogo visual stimuli which elicit a high (distractor) or a low (other) tendency to respond, respectively. Two task blocks were examined to assess learning the criteria. First, a multivariate Partial Least Squares (PLS) analysis identified brain regions that co-varied with task conditions, as expressed by two significant Latent Variables (LVs). One LV distinguished go and nogo stimuli. The other LV identified regions involved in the first block when the criteria not to respond to distractors were established. The left prefrontal region was prominently involved. Second, a left ventrolateral prefrontal area was selected from this LV as a seed region to perform functional connectivity using a multi-block PLS analysis. Results showed a distributed network functionally connected with the seed, including superior medial prefrontal and left superior parietal regions. These findings extend our understanding of task-setting along the following dimensions: 1) even when a task requires withholding a response, the left prefrontal cortex has a critical role in setting criteria, and 2) this region responds to the task demands within a distinctive functional network.

We studied motor representation in patients who recovered well following a stroke. Eighteen right-handed stroke patients and eleven age-matched control subjects underwent functional Magnetic Resonance Imaging (fMRI) while performing unimanual index finger (abduction-adduction) and wrist movements (flexion-extension) using their recovered and non-affected hand. A subset of these patients underwent Transcranial Magnetic Stimulation (TMS) to elicit motor evoked potentials (MEP) in the first dorsal interosseous muscle of both hands. Imaging results suggest that good recovery utilizes both ipsi- and contralesional resources, although results differ for wrist and index finger movements. Wrist movements of the recovered arm resulted in significantly greater activation of the contralateral (lesional) and ipsilateral (contralesional) primary sensorimotor cortex (SM1), while comparing patients to control subjects performing the same task. In contrast, recovered index finger movements recruited a larger motor network, including the contralateral SM1, Supplementary Motor Area (SMA) and cerebellum when patients were compared to control subjects. TMS of the lesional hemisphere but not of the contralesional hemisphere induced MEPs in the recovered hand. TMS parameters also revealed greater transcallosal inhibition, from the contralesional to the lesional hemisphere than in the reverse direction. Disinhibition of the contralesional hemisphere observed in a subgroup of our patients suggests persistent alterations in intracortical and transcallosal (interhemispheric) interactions, despite complete functional recovery.

Repetitive movements have been used as motor activation tasks in the investigation of various neurological disorders. To determine the importance of an age-matched control group in such studies we investigated whether there are significant age-related changes in the pattern of cortical activation seen during simple repetitive movements. Sixteen right-handed healthy subjects were studied-8 young and 8 old. Functional magnetic resonance images were acquired while subjects performed a motor task or a nonmovement rest condition. Two continuous motor tasks, index finger abduction/adduction and wrist extension/flexion, were performed by each hand, paced using a metronome. The fMRI data were processed and analyzed with SPM '99. For the between-group comparisons, for each motor task, contralateral primary sensorimotor cortex and premotor cortex had significantly greater activation in the Young group and caudal supplementary motor area had significantly greater activation in the Old group. Ipsilateral sensorimotor cortex was more significantly activated in the Old group for index finger motor tasks of both hands. All noted differences in the Old group were more prominent for the index finger movement and most prominent when using the nondominant hand. In conclusion, there are significant age-related differences in the activation pattern associated with repetitive movements. This may represent compensatory recruitment of motor cortical units in the older subjects as larger differences are noted in the older group during the more difficult motor tasks, those of isolated finger movement and nondominant hand use. This study has important implications for functional imaging experiments of neurological disorders in older subjects.