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Institution

Indiana University

EducationBloomington, Indiana, United States
About: Indiana University is a education organization based out in Bloomington, Indiana, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 64480 authors who have published 150058 publications receiving 6392902 citations. The organization is also known as: Indiana University system & indiana.edu.


Papers
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Journal ArticleDOI
17 Oct 2007-PLOS ONE
TL;DR: This study presents an approach to the identification and classification of putative hub regions in brain networks on the basis of multiple network attributes and charts potential links between the structural embedding of such regions and their functional roles.
Abstract: Brain regions in the mammalian cerebral cortex are linked by a complex network of fiber bundles. These inter-regional networks have previously been analyzed in terms of their node degree, structural motif, path length and clustering coefficient distributions. In this paper we focus on the identification and classification of hub regions, which are thought to play pivotal roles in the coordination of information flow. We identify hubs and characterize their network contributions by examining motif fingerprints and centrality indices for all regions within the cerebral cortices of both the cat and the macaque. Motif fingerprints capture the statistics of local connection patterns, while measures of centrality identify regions that lie on many of the shortest paths between parts of the network. Within both cat and macaque networks, we find that a combination of degree, motif participation, betweenness centrality and closeness centrality allows for reliable identification of hub regions, many of which have previously been functionally classified as polysensory or multimodal. We then classify hubs as either provincial (intra-cluster) hubs or connector (inter-cluster) hubs, and proceed to show that lesioning hubs of each type from the network produces opposite effects on the small-world index. Our study presents an approach to the identification and classification of putative hub regions in brain networks on the basis of multiple network attributes and charts potential links between the structural embedding of such regions and their functional roles.

1,094 citations

Journal ArticleDOI
TL;DR: R0 resection remains the best chance for long-term survival, and lymph node status is the most important prognostic factor following R1 resection, according to a large series of patients with bile duct cancer.
Abstract: Objective:To assess long-term survival and prognostic factors in a large series of patients with bile duct cancer.Summary Background Data:The incidence of bile duct cancer is low but increasing. Determinants of survival vary in the literature, due to a lack of sufficient numbers of patients in most

1,092 citations

Journal ArticleDOI
TL;DR: This article examined the relationship between variations in group size and free-riding behavior in the voluntary provision of public goods and found that increasing group size leads to a reduction in allocative efficiency when accompanied by a decrease in marginal return from the public good.
Abstract: This paper examines the relationship between variations in group size and "free-riding" behavior in the voluntary provision of public goods. We examine experimentally two pertinent concepts: the marginal return to an individual from contributions to the public good, and the actual number of members in the group. Our results strongly support a hypothesis that increasing group size leads to a reduction in allocative efficiency when accompanied by a decrease in marginal return from the public good (as from crowding or an association of large groups with imperceptibility of marginal benefits). Our results do not support a pure numbers-in-the-group effect.

1,091 citations

Journal ArticleDOI
TL;DR: Advantages of this power vector representation of a sphero-cylinder lens for numerical and graphical analysis of optometric data are described for problems involving lens combinations, comparison of different lenses, and the statistical distribution of refractive errors.
Abstract: The description of sphero-cylinder lenses is approached from the viewpoint of Fourier analysis of the power profile. It is shown that the familiar sine-squared law leads naturally to a Fourier series representation with exactly three Fourier coefficients, representing the natural parameters of a thin lens. The constant term corresponds to the mean spherical equivalent (MSE) power, whereas the amplitude and phase of the harmonic correspond to the power and axis of a Jackson cross-cylinder (JCC) lens, respectively. Expressing the Fourier series in rectangular form leads to the representation of an arbitrary sphero-cylinder lens as the sum of a spherical lens and two cross-cylinders, one at axis 0 degree and the other at axis 45 degrees. The power of these three component lenses may be interpreted as (x,y,z) coordinates of a vector representation of the power profile. Advantages of this power vector representation of a sphero-cylinder lens for numerical and graphical analysis of optometric data are described for problems involving lens combinations, comparison of different lenses, and the statistical distribution of refractive errors.

1,090 citations

Journal ArticleDOI
Eli A. Stahl1, Eli A. Stahl2, Gerome Breen3, Andreas J. Forstner  +339 moreInstitutions (107)
TL;DR: Genome-wide analysis identifies 30 loci associated with bipolar disorder, allowing for comparisons of shared genes and pathways with other psychiatric disorders, including schizophrenia and depression.
Abstract: Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P < 1 × 10-4 in an additional 9,412 cases and 137,760 controls. Eight of the 19 variants that were genome-wide significant (P < 5 × 10-8) in the discovery GWAS were not genome-wide significant in the combined analysis, consistent with small effect sizes and limited power but also with genetic heterogeneity. In the combined analysis, 30 loci were genome-wide significant, including 20 newly identified loci. The significant loci contain genes encoding ion channels, neurotransmitter transporters and synaptic components. Pathway analysis revealed nine significantly enriched gene sets, including regulation of insulin secretion and endocannabinoid signaling. Bipolar I disorder is strongly genetically correlated with schizophrenia, driven by psychosis, whereas bipolar II disorder is more strongly correlated with major depressive disorder. These findings address key clinical questions and provide potential biological mechanisms for bipolar disorder.

1,090 citations


Authors

Showing all 64884 results

NameH-indexPapersCitations
Frank B. Hu2501675253464
Stuart H. Orkin186715112182
Bruce M. Spiegelman179434158009
David R. Williams1782034138789
D. M. Strom1763167194314
Markus Antonietti1761068127235
Lei Jiang1702244135205
Brenda W.J.H. Penninx1701139119082
Nahum Sonenberg167647104053
Carl W. Cotman165809105323
Yang Yang1642704144071
Jaakko Kaprio1631532126320
Ralph A. DeFronzo160759132993
Gavin Davies1592036149835
Tyler Jacks158463115172
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023127
2022694
20217,273
20207,310
20196,943
20186,496