Biomedical subjects

Simon A Overduin

Publications and source records attributed to Simon A Overduin.

3 recordsLinked to original sources

PubMed2006

Disruption of primary motor cortex before learning impairs memory of movement dynamics.

Although multiple lines of evidence implicate the primary motor cortex (M1) in motor learning, the precise role of M1 in the adaptation to novel movement dynamics and in the subsequent consolidation of a memory of those dynamics remains unclear. Here we used repetitive transcranial magnetic stimulation (rTMS) to dissociate the contribution of M1 to these distinct aspects of motor learning. Subjects performed reaching movements in velocity-dependent force fields over three epochs: a null-field baseline epoch, a clockwise-field learning epoch (15 min after the baseline epoch), and a clockwise-field retest epoch (24 h after the learning epoch). Half of the subjects received 15 min of 1 Hz rTMS to M1 between the baseline and learning epochs. Subjects given rTMS performed identically to control subjects during the learning epoch. However, control subjects performed with significantly less error than rTMS subjects in the retest epoch on the following day. These results suggest that M1 is not critical to the network supporting motor adaptation per se but that, within this network, M1 may be important for initiating the development of long-term motor memories.

Adaptation, Physiological↗

PubMed2006

Intermittent practice facilitates stable motor memories.

Humans adaptively control reaching movements to maintain good performance in the presence of novel forces acting on the arm. A recent study suggested that motor memories of different force conditions are not transformed from fragile to stable states, but rather are always vulnerable to interference from newly learned conditions (Caithness et al., 2004). This is contrary to the results of previous studies (Brashers-Krug et al., 1996; Shadmehr and Brashers-Krug, 1997), although all of these studies followed similar methods. Here, we show that a seemingly insignificant and inconsistently applied methodological detail may reconcile this discrepancy. Catch trials, in which the novel forces are removed, may be randomly interspersed among the more frequent force trials to assess how a subject is learning to predict the pattern of forces. In the absence of an interfering condition, subjects retained their learning until retest a day later regardless of whether they experienced catch trials. But in the presence of an interfering condition, only the subjects who had experienced forces intermittently retained their learning and thereby showed resistance to the interference. Thus, intermittent rather than constant practice conditions appear to be critical for dynamic motor memory stabilization.

Adaptation, Physiological↗

PubMed2004

Distributed digit somatotopy in primary somatosensory cortex.

We obtained high-resolution somatotopic maps of the human digits using 4.0 T functional magnetic resonance imaging (fMRI). In separate experiments, the volar surface of either the right thumb, index, or ring finger was stimulated in a sliding-window fashion in both distal-to-proximal and proximal-to-distal directions using a custom-built pneumatic apparatus. Analysis of the functional images was restricted to Brodmann's areas 3b and 1 and control areas 4 and 3a, as well as a randomized simulation of the functional data in each of these areas. Using in-house algorithms, we detected discrete regions of cortical activation showing phase reversal coinciding with alternation in stimulation direction. Most stimulation-related phase maps of the digits were obtained in areas 3b and 1, rather than areas 3a or 4, despite the somatic input to the latter two areas. The area 3b and 1 representations thus appear to be relatively discrete and somatotopic compared to other somatic processing regions. Our results within areas 3b and 1 confirm the nonlinear mapping of the body surface suggested by recordings in nonhuman primates in terms of phase band topography, scaling, and frequency relative to the actual digit surfaces. The scaling and frequency nonlinearities were more evident within area 3b than area 1, suggesting a functional differentiation of these regions as has previously been observed only in more invasive recordings. Specifically, the area 1 representations were larger overall than those observed in area 3b, and the frequencies of area 3b phase bands and voxels were related disproportionately to thumb and index finger stimulation and to particular areas on the digit surface, suggesting a weighting based in part on receptor distribution.

Adult↗