Institution
Northwestern University
Education•Evanston, Illinois, United States•
About: Northwestern University is a education organization based out in Evanston, Illinois, United States. It is known for research contribution in the topics: Population & Medicine. The organization has 75430 authors who have published 188857 publications receiving 9463252 citations. The organization is also known as: Northwestern & NU.
Topics: Population, Medicine, Cancer, Health care, Transplantation
Papers published on a yearly basis
Papers
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TL;DR: In this paper, brain morphology of 26 chronic back pain patients to matched control subjects was compared using magnetic resonance imaging brain scan data and automated analysis techniques, using voxel-based morphometry and nonparametric statistics.
Abstract: The role of the brain in chronic pain conditions remains speculative. We compared brain morphology of 26 chronic back pain (CBP) patients to matched control subjects, using magnetic resonance imaging brain scan data and automated analysis techniques. CBP patients were divided into neuropathic, exhibiting pain because of sciatic nerve damage, and non-neuropathic groups. Pain-related characteristics were correlated to morphometric measures. Neocortical gray matter volume was compared after skull normalization. Patients with CBP showed 5-11% less neocortical gray matter volume than control subjects. The magnitude of this decrease is equivalent to the gray matter volume lost in 10-20 years of normal aging. The decreased volume was related to pain duration, indicating a 1.3 cm3 loss of gray matter for every year of chronic pain. Regional gray matter density in 17 CBP patients was compared with matched controls using voxel-based morphometry and nonparametric statistics. Gray matter density was reduced in bilateral dorsolateral prefrontal cortex and right thalamus and was strongly related to pain characteristics in a pattern distinct for neuropathic and non-neuropathic CBP. Our results imply that CBP is accompanied by brain atrophy and suggest that the pathophysiology of chronic pain includes thalamocortical processes.
1,263 citations
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TL;DR: The use of social media technologies such as blogs, wikis, social networking sites, social tagging, and micro blogging is proliferating at an incredible pace as mentioned in this paper, and one area of increasing adoption is orga...
Abstract: The use of social media technologies—such as blogs, wikis, social networking sites, social tagging, and microblogging—is proliferating at an incredible pace. One area of increasing adoption is orga...
1,263 citations
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TL;DR: This paper provides an estimator of the covariance matrix of meta-regression coefficients that is applicable when there are clusters of internally correlated estimates and demonstrates that the meta- Regression coefficients are consistent and asymptotically normally distributed and that the robust variance estimator is valid even when the covariates are random.
Abstract: Conventional meta-analytic techniques rely on the assumption that effect size estimates from different studies are independent and have sampling distributions with known conditional variances. The independence assumption is violated when studies produce several estimates based on the same individuals or there are clusters of studies that are not independent (such as those carried out by the same investigator or laboratory). This paper provides an estimator of the covariance matrix of meta-regression coefficients that are applicable when there are clusters of internally correlated estimates. It makes no assumptions about the specific form of the sampling distributions of the effect sizes, nor does it require knowledge of the covariance structure of the dependent estimates. Moreover, this paper demonstrates that the meta-regression coefficients are consistent and asymptotically normally distributed and that the robust variance estimator is valid even when the covariates are random. The theory is asymptotic in the number of studies, but simulations suggest that the theory may yield accurate results with as few as 20-40 studies. Copyright © 2010 John Wiley & Sons, Ltd.
1,261 citations
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TL;DR: This paper found that products that are moderately incongruent with their associated category schemas are expected to stimulate processing that leads to a more favorable evaluation relative to products that were either congruent or extremely inconguent.
Abstract: Mandler theorized that the level of congruity between a product and a more general product category schema may influence the nature of information processing and thus product evaluations. Products that are moderately incongruent with their associated category schemas are expected to stimulate processing that leads to a more favorable evaluation relative to products that are either congruent or extremely incongruent. Data from three experiments conducted in new product contexts are consistent with Mandler's hypothesis and serve as a basis for theorizing about the process.
1,261 citations
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University of California, Los Angeles1, National Institutes of Health2, Stanford University3, Northwestern University4, Columbia University5, University of North Carolina at Chapel Hill6, University of Mississippi Medical Center7, Fred Hutchinson Cancer Research Center8, Rutgers University9, Wake Forest University10
TL;DR: A new epigenetic biomarker of aging, DNAm PhenoAge, is developed that strongly outperforms previous measures in regards to predictions for a variety of aging outcomes, including all-cause mortality, cancers, healthspan, physical functioning, and Alzheimer's disease.
Abstract: Identifying reliable biomarkers of aging is a major goal in geroscience. While the first generation of epigenetic biomarkers of aging were developed using chronological age as a surrogate for biological age, we hypothesized that incorporation of composite clinical measures of phenotypic age that capture differences in lifespan and healthspan may identify novel CpGs and facilitate the development of a more powerful epigenetic biomarker of aging. Using an innovative two-step process, we develop a new epigenetic biomarker of aging, DNAm PhenoAge, that strongly outperforms previous measures in regards to predictions for a variety of aging outcomes, including all-cause mortality, cancers, healthspan, physical functioning, and Alzheimer's disease. While this biomarker was developed using data from whole blood, it correlates strongly with age in every tissue and cell tested. Based on an in-depth transcriptional analysis in sorted cells, we find that increased epigenetic, relative to chronological age, is associated with increased activation of pro-inflammatory and interferon pathways, and decreased activation of transcriptional/translational machinery, DNA damage response, and mitochondrial signatures. Overall, this single epigenetic biomarker of aging is able to capture risks for an array of diverse outcomes across multiple tissues and cells, and provide insight into important pathways in aging.
1,261 citations
Authors
Showing all 76189 results
Name | H-index | Papers | Citations |
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George M. Whitesides | 240 | 1739 | 269833 |
Ralph B. D'Agostino | 226 | 1287 | 229636 |
Daniel Levy | 212 | 933 | 194778 |
David Miller | 203 | 2573 | 204840 |
Ronald M. Evans | 199 | 708 | 166722 |
Michael Marmot | 193 | 1147 | 170338 |
Robert C. Nichol | 187 | 851 | 162994 |
Scott M. Grundy | 187 | 841 | 231821 |
Stuart H. Orkin | 186 | 715 | 112182 |
Michael A. Strauss | 185 | 1688 | 208506 |
Ralph Weissleder | 184 | 1160 | 142508 |
Patrick O. Brown | 183 | 755 | 200985 |
Aaron R. Folsom | 181 | 1118 | 134044 |
Valentin Fuster | 179 | 1462 | 185164 |
Ronald C. Petersen | 178 | 1091 | 153067 |