Patients with lesions in or near eloquent cortex typically undergo one of several invasive techniques to prevent loss of function following surgery. One of the most promising potential clinical applications of functional magnetic resonance imaging (fMRI) is to map these functions as part of the pre-surgical work-up to identify patients at-risk, guide the surgical entry, or tailor the surgical procedure to prevent deficits. While motor and sensory mapping are relatively straightforward, language mapping is far more complex. The language system is variable in location across individuals and in many cases may reorganize partially or completely to the contralateral hemisphere. In addition, multiple regions of the brain contribute to language functioning including essential regions that must not be removed in surgery, and contributory regions that may result in transient or insignificant impairments post-surgery. Despite these challenges, an increasing number of studies have supported the use of fMRI for pre-surgical language mapping in a variety of disorders. This article reviews the literature from three disorders for which patients benefit from preoperative language mapping: epilepsy, brain tumors, and arteriovenous malformations. Each disorder presents unique challenges to language mapping. Specific case studies are presented highlighting the both the potential benefits of preclinical fMRI for language mapping as well as the potential risks and pitfalls.
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J Environ Manage
January 2025
Geotechnologies in Soil Sciences Research Group - GeoCiS, Department of Soil Science, Luiz de Queiroz College of Agriculture - Esalq, University of São Paulo - USP, Piracicaba, São Paulo, Brazil. Electronic address:
Analyzing soil in large and remote areas such as the Amazon River Basin (ARB) is unviable when it is entirely performed by wet labs using traditional methods due to the scarcity of labs and the significant workforce requirements, increasing costs, time, and waste. Remote sensing, combined with cloud computing, enhances soil analysis by modeling soil from spectral data and overcoming the limitations of traditional methods. We verified the potential of soil spectroscopy in conjunction with cloud-based computing to predict soil organic carbon (SOC) and particle size (sand, silt, and clay) content from the Amazon region.
View Article and Find Full Text PDFInt J Med Inform
January 2025
College of Science and Engineering, James Cook University, Townsville, 4811, QLD, Australia. Electronic address:
Background: Accurate classification of medical records is crucial for clinical documentation, particularly when using the 10th revision of the International Classification of Diseases (ICD-10) coding system. The use of machine learning algorithms and Systematized Nomenclature of Medicine (SNOMED) mapping has shown promise in performing these classifications. However, challenges remain, particularly in reducing false negatives, where certain diagnoses are not correctly identified by either approach.
View Article and Find Full Text PDFPLoS Comput Biol
January 2025
Department of Anatomy and Cell Biology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Fukuoka, Japan.
Mathematical modeling has been utilized to explain biological pattern formation, but the selections of models and parameters have been made empirically. In the present study, we propose a data-driven approach to validate the applicability of mathematical models. Specifically, we developed methods to automatically select the appropriate mathematical models based on the patterns of interest and to estimate the model parameters.
View Article and Find Full Text PDFNeurosurg Focus Video
January 2025
Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; and.
Intraoperative neuropsychological testing (IONT) is a sophisticated method of cognitive mapping during the resection of brain tumors in eloquent areas. Direct electrical stimulation during awake craniotomy is routinely utilized for mapping basic language and sensorimotor function, but the utilization of IONT offers an individualized approach that can yield real-time, comprehensive feedback on various cognitive functions, allowing for a tailored and more extensive tumor resection. In this video, the authors present the case of a 41-year-old male undergoing re-resection for a recurrent right temporal astrocytoma in which IONT played a crucial role.
View Article and Find Full Text PDFNeurosurg Focus Video
January 2025
Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, South Australia; and.
Electrophysiological mapping and monitoring techniques permit the objective measurement of eloquent cortical regions and accompanying white matter tracts to reduce the incidence of iatrogenic injury in glioma surgery. Recently, there has been increased interest in mapping and monitoring of the human arcuate fasciculus via cortico-cortical evoked potentials (CCEPs) during awake and asleep craniotomy. The authors present the case of a 27-year-old female who underwent a hypnosis-assisted awake craniotomy with cortico-subcortical language mapping and arcuate fasciculus CCEPs.
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