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Phantom limb pain--a phenomenon of proprioceptive memory?

Despite the amount of research that has been conducted on phantom limb pain (PLP), the etiology of the condition remains unknown, and treatment options are limited. After an individual loses a limb, the brain continues to detect the presence of the missing limb even though it is no longer attached to the body, likely through proprioceptive signals. The majority of patients with amputations either

Sleep preferentially enhances memory for emotional components of scenes

Central aspects of emotional experiences are often well remembered at the expense of background details. Previous studies of such memory trade-offs have focused on memory after brief delays, but little is known about how these components of emotional memories change over time. We investigated the evolution of memory for negative scenes across 30 min, 12 daytime hours spent awake, and 12 nighttime

The effects of emotional content on reality-monitoring performance in young and older adults

Reality monitoring refers to a person's ability to distinguish between perceived and imagined events. Prior research has demonstrated that young adults show a reality-monitoring advantage for negative arousing information as compared with neutral information. The present research examined whether this reality-monitoring benefit extends to positive information in young adults and whether older adul

Evaluation of the RF-MEP Method for Merging Multiple Gridded Precipitation Products in the Chongqing City, China

Precipitation is a major component of the water cycle. Accurate and reliable estimation of precipitation is essential for various applications. Generally, there are three main types of precipitation products: satellite based, reanalysis, and ground measurements from rain gauge stations. Each type has its advantages and disadvantages. Recent efforts have been made to develop various merging methods

Diagnosis of multiple sclerosis subtype through machine learning analysis of frontal cortex metabolite profiles

The onset and progression of multiple sclerosis (MS) is accompanied by changes in brain biochemistry. Magnetic resonance spectroscopy (MRS) is a powerful tool for investigating these changes in vivo. Machine learning analysis of MRS-derived biochemical profiles may reveal metabolic patterns inherent in certain MS subtypes to inform their diagnosis. By employing a feature set of only metabolite con

Magnetic Resonance Spectrum Simulator (MARSS): Software for fast and reliable simulation of spin systems

Accurate density matrix simulation of nuclear spin systems is critical for quantifying magnetic resonance spectroscopy (MRS) data, as well as for simulation studies designed to optimize acquisition parameters. Although a variety of packages exist to achieve this result, no currently available software is capable of computing a large number of spatial points in a reasonable time frame. Here we pres

Towards in vivo neurochemical profiling of multiple sclerosis with MR spectroscopy at 7 Tesla: Apparent increase in frontal cortex water T2 in aged individuals with progressive multiple sclerosis stabilizes in biexponential model constrained by tissue partial volumes

Water is a common internal reference for metabolite quantification by 1H-MRS. We investigate potential influences on water-referenced metabolite quantification by differences in frontal cortex water T2 in individuals with relapsing-remitting, progressive, and no multiple sclerosis. Water T2 differed in monoexponential models, exhibiting highest values in progressive multiple sclerosis only when an

Remembering Ross Leadbetter: some personal reflections

Ross Leadbetter had had a broad and deep influence on the development of proba-bilistic and statistical theory of extreme values and on the application of extreme-value methods. He has been an inspiration and a friend for many of us. This edito-rial collects thirteen personal recollections of Ross and his work. An account of hiscareer and some of his work can be found in the IMS Obituary “Ross Lea

Towards in vivo neurochemical profiling of multiple sclerosis with MR spectroscopy at 7 Tesla: Cross-sectional assessment of frontal-cortex glutathione, GABA, and glutamate in individuals with relapsing-remitting and progressive multiple sclerosis

Multiple sclerosis (MS) is an autoimmune disease that damages the central nervous system and affects an estimated 2.3 million people worldwide. One potential key to understanding MS is investigating the metabolic distinctions between its relapsing-remitting (RR-MS) and progressive courses (P-MS). We obtained single-voxel metabolic 1H spectra at 7 Tesla from the frontal cortex of RR-MS and P-MS pat