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Keith R Thulborn

Publications and source records attributed to Keith R Thulborn.

5 recordsLinked to original sources

Neural basis for the processes that underlie visually guided and internally guided force control in humans.

Despite an intricate understanding of the neural mechanisms underlying visual and motor systems, it is not completely understood in which brain regions humans transfer visual information into motor commands. Furthermore, in the absence of visual information, the retrieval process for motor memory information remains unclear. We report an investigation where visuomotor and motor memory processes were separated from only visual and only motor activation. Subjects produced precision grip force during a functional MRI (fMRI) study that included four conditions: rest, grip force with visual feedback, grip force without visual feedback, and visual feedback only. Statistical and subtractive logic analyses segregated the functional process maps. There were three important observations. First, along with the well-established parietal and premotor cortical network, the anterior prefrontal cortex, putamen, ventral thalamus, lateral cerebellum, intermediate cerebellum, and the dentate nucleus were directly involved in the visuomotor transformation process. This activation occurred despite controlling for the visual input and motor output. Second, a detailed topographic orientation of visuomotor to motor/sensory activity was mapped for the premotor cortex, parietal cortex, and the cerebellum. Third, the retrieval of motor memory information was isolated in the dorsolateral prefrontal cortex, ventral prefrontal cortex, and anterior cingulate. The motor memory process did not extend to the supplementary motor area (SMA) and the basal ganglia. These findings provide evidence in humans for a model where a distributed network extends over cortical and subcortical regions to control the visuomotor transformation process used during visually guided tasks. In contrast, a localized network in the prefrontal cortex retrieves force output from memory during internally guided actions.

Adult↗

Magnetic resonance imaging in the diagnosis of subretinal cysticercosis.

PURPOSE: To report a case of ocular cysticercosis and associated magnetic resonance imaging (MRI) findings. DESIGN: Interventional case report. METHODS: A 56-year-old woman from Ecuador presented with decreased vision and an exudative retinal detachment in the left eye. Subretinal cysticercosis was suspected. RESULTS: In the left eye, a subretinal cyst evident on fundus examination was investigated with B-scan ultrasonography. Ultrasonography showed a cystic structure, and MRI of the orbit confirmed the suspicion for cysticercosis. Magnetic resonance imaging of the brain also revealed a small parenchymal lesion in the left occipital lobe of the brain. CONCLUSIONS: Magnetic resonance imaging is a useful adjunct to B-scan ultrasonography in the diagnosis of ocular cysticercosis. Magnetic resonance imaging is superior to computed tomography in the demonstration of cystic structures in the eye and central nervous system. This finding has important therapeutic implications, as any viable cysticercus in the eye or cerebral parenchyma can be treated surgically or medically, respectively.

Cysticercosis↗

Pursuit and saccadic eye movement subregions in human frontal eye field: a high-resolution fMRI investigation.

Recent positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) studies in humans have localized the frontal eye field (FEF) to the precentral sulcus (PCS). In macaque monkeys, low-threshold microstimulation and single unit recording studies have located a saccadic subregion of FEF in a restricted area along the anterior wall of the arcuate sulcus and a pursuit subregion located deeper in the sulcus close to the fundus. The functional organization and anatomical location of these two FEF subregions are still to be defined in humans. In the present study, we used fMRI with high spatial resolution image acquisition at 3.0 Tesla to map the saccade- and pursuit-related areas of FEF within the two walls of the PCS in 11 subjects. We localized the saccade-related area to the upper portion of the anterior wall of the precentral sulcus and the pursuit-related area to a deeper region along the anterior wall, extending in some subjects to the fundus or deep posterior wall. These findings localize distinct pursuit and saccadic subregions of FEF in humans and demonstrate a high degree of homology in the organization of these FEF subregions in the human and the macaque monkey.

Adult↗

Early decay of pain-related cerebral activation in functional magnetic resonance imaging: comparison with visual and motor tasks.

BACKGROUND: Although pain-related activation was localized in multiple brain areas by functional imaging, the temporal profile of its signal has been poorly understood. The authors characterized the temporal evolution of such activation in comparison to that by conventional visual and motor tasks using functional magnetic resonance imaging. METHODS: Five right-handed volunteers underwent whole brain echo-planar imaging on a 3 T magnetic resonance imaging scanner while they received pain stimulus on the right and left forearm and performed visually guided saccade and finger tapping tasks. Pain stimulus on the right and left forearm consisted of four cycles of 15-s stimulus at 47.2-49.0 degrees C, interleaved with 30-s control at 32 degrees C, delivered by a Peltier-type thermode, and visually guided saccade and finger tapping of three cycles of 30-s active and 30-s rest conditions. Voxel-wise t statistical maps were standardized and averaged across subjects. Blood oxygenation level-dependent signal time courses were analyzed at local maxima of representative activation clusters (t > 3.5). RESULTS: Pain stimulus on the right forearm activated the secondary somatosensory (S2), superior temporal, anterior cingulate, insular, prefrontal cortices, premotor area, and lenticular nucleus. Pain stimulus on the left forearm activated similar but fewer areas at less signal intensity. The S2 activation was dominant on the contralateral hemisphere. Pain-related activation was statistically weaker and showed less consistent signal time courses than visually guided saccade- and finger tapping-related activation. Pain-related signals decayed earlier before the end of stimulus, in contrast to well-sustained signal plateaus induced by visually guided saccade and finger tapping. CONCLUSIONS: The authors speculate that pain-related blood oxygenation level-dependent signals were attenuated by the pain-induced global cerebral blood flow decrease or activation of the descending pain inhibitory systems.

Adult↗

Software for efficient visualization and analysis of multiple, large, multi-dimensional data sets from magnetic resonance imaging.

Comprehensive magnetic resonance imaging (MRI) protocols create multiple, large, multi-dimensional data sets that are challenging to review and interpret in an efficient manner. We report on a program called CliniViewer that uses a common data file format to display all files originating from the scanner and other post-processing programs in an integrated display matrix. The five rows of images and maps have general themes of Anatomic Images, Echo-Planar Images, Parametric Maps (derived from echo-planar images), Metabolic Images, and Non-Image Data, respectively. Each row of the matrix contains related image windows of individual MR acquisitions or maps derived from such acquisitions.An interpreter can quickly screen all images and then select any image from the display to create a separate daughter window incorporating a set of analysis tools for in-depth examination. Given that the images can be acquired in the same co-registered planes without moving the subject, regional analysis can be performed simultaneously across multiple MR image types and the corresponding maps, thereby integrating anatomic features with parametric properties. Color can be used to highlight parametric values that fall outside normal ranges to quickly identify abnormalities on each map. CliniViewer is an efficient environment for analyzing multiple images and maps from comprehensive clinical imaging protocols, aiding the neuroradiologist in providing an integrated interpretation of all available MR data for efficient clinical decision making. CliniViewer is compared to AnalyzeAVW and NIH Image, two popular MR image analysis tools. CliniViewer allows efficient clinical analysis of multiple images and maps from comprehensive clinical imaging protocols.

Brain↗