The anterior cingulate cortex (ACC) has been clearly implicated in stimulus–reward learning, but the exact contribution it makes to this process is not well understood. To address this issue, rats with lesions of periand postgenual ACC were tested using a variety of tasks to which stimulus–reward learning was expected to contribute. Unexpectedly, rats with ACC lesions learned to approach a food...

The anterior cingulate cortex (ACC) has been clearly implicated in stimulus–reward learning, but the exact contribution it makes to this process is not well understood. To address this issue, rats with lesions of periand postgenual ACC were tested using a variety of tasks to which stimulus–reward learning was expected to contribute. Unexpectedly, rats with ACC lesions learned to approach a food...

We identified biomechanical variables indicative of lower extremity dysfunction, distinct from age-related gait adaptations, and examined interrelationships among these variables to better understand the neuromuscular adaptations in gait. Sagittal plane ankle, knee, and hip peak angles, moments, and powers and spatiotemporal parameters were acquired during preferred-speed gait in 120 subjects: ...

We used PET with the tracers [18F]fluorodeoxyglucose (FDG), [18F]fluorodopa (FDOPA) and [11C]raclopride (RACLO) to study striatal glucose and dopa metabolism, and dopamine D2 receptor binding, respectively, in nine patients with multiple system atrophy. Ten patients with classical Parkinson's disease were investigated with the same three PET tracers' and three separate groups, each of 10 health...

To clarify genome-wide DNA methylation profiles during multistage renal carcinogenesis, bacterial artificial chromosome array-based methylated CpG island amplification (BAMCA) was performed. Non-cancerous renal cortex tissue obtained from patients with clear cell renal cell carcinomas (RCCs) (N) was at the precancerous stage where DNA hypomethylation and DNA hypermethylation on multiple bacteri...

We present an action recognition method based on the concept of reliable inference. Our approach is formulated in a probabilistic framework using posterior class ratios to verify the saliency of an input before committing to any action classification. The framework is evaluated in the context of walking, running, and standing at multiple views and compared to ML and MAP approaches. Results exam...