Pain can be very intense or only mild, and can be well localized or diffuse. To date, little is known as to how such distinct sensory aspects of noxious stimuli are processed by the human brain. Using functional magnetic resonance imaging and a delayed match-to-sample task, we show that discrimination of pain intensity, a nonspatial aspect of pain, activates a ventrally directed pathway extending bilaterally from the insular cortex to the prefrontal cortex. This activation is distinct from the dorsally directed activation of the posterior parietal cortex and right dorsolateral prefrontal cortex that occurs during spatial discrimination of pain. Both intensity and spatial discrimination tasks activate highly similar aspects of the anterior cingulate cortex, suggesting that this structure contributes to common elements of the discrimination task such as the monitoring of sensory comparisons and response selection. Together, these results provide the foundation for a new model of pain in which bidirectional dorsal and ventral streams preferentially amplify and process distinct sensory features of noxious stimuli according to top-down task demands.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2823474 | PMC |
http://dx.doi.org/10.1523/JNEUROSCI.5538-08.2009 | DOI Listing |
Alzheimers Dement
December 2024
University of Southern California, Los Angeles, CA, USA.
Background: TDP-43 (TAR DNA-binding protein 43) is one of the most frequently observed co-pathologies in Alzheimer's disease (AD). Recognizing the diversity of pathological features in individuals with AD, including the presence of TDP-43, may lead to more personalized and effective treatment approaches. We investigate ante-mortem cortical microstructural changes in MRI with subsequent autopsy confirmation of Alzheimer's disease neuropathological changes (ADNC) with and without TDP-43 comorbidity.
View Article and Find Full Text PDFCrit Rev Food Sci Nutr
January 2025
School of Food and Nutritional Sciences, University College Cork, Cork, Ireland.
Plant-based cheese analogs have been developed using plant-based ingredients to mimic the appearance, structure, and flavor of conventional cheeses. Due to the complex composition and structure of cheese, developing plant-based cheese analogs that completely replicate its physicochemical, structural, sensory, and nutritional features is a highly challenging endeavor. Therefore, the design of the structure of plant-based cheese analogs requires a critical evaluation of the functional features of the selected ingredients and the specialized combination of these ingredients to create a desired structure.
View Article and Find Full Text PDFCompr Rev Food Sci Food Saf
January 2025
Department of Food Science, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
The demand for meat alternatives based on ingredients sourced from nonanimal materials with equivalent quality of muscle tissue is increasing. As more consumers switch to meat alternatives, a growing body of research has investigated the tenderness and related texture attributes in plant-based meats to increase consumer acceptance. A deeper understanding of tenderness including the differences and similarities between meat and meat alternatives is crucial to developing products that meet consumer expectations, as it directly influences consumer acceptance.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Southern California, Los Angeles, CA, USA.
Background: TDP-43 (TAR DNA-binding protein 43) is one of the most frequently observed co-pathologies in Alzheimer's disease (AD). Recognizing the diversity of pathological features in individuals with AD, including the presence of TDP-43, may lead to more personalized and effective treatment approaches. We investigate ante-mortem cortical microstructural changes in MRI with subsequent autopsy confirmation of Alzheimer's disease neuropathological changes (ADNC) with and without TDP-43 comorbidity.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Minnesota Duluth, Duluth, MN, USA.
Background: The rising demand for alternative dementia assessments, fueled by healthcare workforce shortages and the growing population of individuals affected with dementia, necessitates innovative approaches to address accessibility, logistics, and diverse populations. The utilization of robots in cognitive assessments emerges as a promising solution, promising efficiency and engagement, while navigating the complex landscape of dementia care challenges.
Method: Existing cognitive assessment tools were examined to develop a humanoid robot to deliver cognitive assessment.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!