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Institution

Stony Brook University

EducationStony Brook, New York, United States
About: Stony Brook University is a education organization based out in Stony Brook, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 32534 authors who have published 68218 publications receiving 3035131 citations. The organization is also known as: State University of New York at Stony Brook & SUNY Stony Brook.


Papers
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Journal ArticleDOI
TL;DR: The results shed further light on the time-course of emotional and cognitive modulation of the late positive potential, and suggest that the LPP reflects the relatively rapid and dynamic allocation of increased attention to emotional stimuli.

448 citations

Journal ArticleDOI
K. Adcox1, S. S. Adler2, M. Aizama3, N. N. Ajitanand4  +601 moreInstitutions (42)
TL;DR: The PHENIX detector as mentioned in this paper is designed to perform a broad study of A-A, p-A and p-p collisions to investigate nuclear matter under extreme conditions, and is used to study systematic variations with species and energy as well as to measure the spin structure of the nucleon.
Abstract: The PHENIX detector is designed to perform a broad study of A-A, p-A, and p-p collisions to investigate nuclear matter under extreme conditions A wide variety of probes, sensitive to all timescales, are used to study systematic variations with species and energy as well as to measure the spin structure of the nucleon Designing for the needs of the heavy-ion and polarized-proton programs has produced a detector with unparalleled capabilities PHENIX measures electron and muon pairs, photons, and hadrons with excellent energy and momentum resolution The detector consists of a large number of subsystems that are discussed in other papers in this volume The overall design parameters of the detector are presented (C) 2002 Elsevier Science BV All rights reserved

447 citations

Journal ArticleDOI
19 Sep 2008-Cell
TL;DR: A cell-free system based on Xenopus egg extracts that supports ICL repair is described and a mechanism for ICLrepair is established that reveals how this process is coupled to DNA replication.

447 citations

Journal ArticleDOI
TL;DR: Aneurysm treatment with the Pipeline Embolization Device is associated with the lowest complication rates when used to treat small ICA aneurysms and Procedure-related morbidity and mortality are higher in the treatment of posterior circulation and giant aneurYSms.
Abstract: BACKGROUND AND PURPOSE: Flow diverters are increasingly used in the endovascular treatment of intracranial aneurysms. Our aim was to determine neurologic complication rates following Pipeline Embolization Device placement for intracranial aneurysm treatment in a real-world setting. MATERIALS AND METHODS: We retrospectively evaluated all patients with intracranial aneurysms treated with the Pipeline Embolization Device between July 2008 and February 2013 in 17 centers worldwide. We defined 4 subgroups: internal carotid artery aneurysms of ≥10 mm, ICA aneurysms of t tests or ANOVAs for continuous variables and the Pearson χ 2 or Fisher exact test for categoric variables. RESULTS: In total, 793 patients with 906 aneurysms were included. The neurologic morbidity and mortality rate was 8.4% (67/793), highest in the posterior circulation group (16.4%, 9/55) and lowest in the ICA P = .01). The spontaneous rupture rate was 0.6% (5/793). The intracranial hemorrhage rate was 2.4% (19/793). Ischemic stroke rates were 4.7% (37/793), highest in patients with posterior circulation aneurysms (7.3%, 4/55) and lowest in the ICA P = .16). Neurologic mortality was 3.8% (30/793), highest in the posterior circulation group (10.9%, 6/55) and lowest in the anterior circulation ICA P CONCLUSIONS: Aneurysm treatment with the Pipeline Embolization Device is associated with the lowest complication rates when used to treat small ICA aneurysms. Procedure-related morbidity and mortality are higher in the treatment of posterior circulation and giant aneurysms.

446 citations

Journal ArticleDOI
TL;DR: The selectivity of changes in glucose metabolism for the basal ganglia and for the orbitofrontal cortex suggests that the regional metabolic changes seen in cocaine abusers during detoxification are related to changes in brain dopamine activity.
Abstract: Objective The authors investigated changes in brain function associated with cocaine dependence and withdrawal to provide clues regarding the processes that lead to the uncontrollable self-administration of cocaine. Method They measured regional brain metabolism with [18F]-fluorodeoxyglucose (FDG) and positron emission tomography in 15 outpatients with the diagnosis of cocaine abuse and 17 normal comparison subjects. Ten of the patients were studied less than 1 week after they had last had cocaine, and five were studied 2-4 weeks after withdrawal. Results Patients studied within 1 week of cocaine withdrawal but not those studied within 2-4 weeks of cocaine withdrawal had higher levels of global brain metabolism as well as higher levels of regional brain metabolism in the basal ganglia and orbitofrontal cortex than did normal subjects, probably as a consequence of less brain dopamine activity. There was also a significant relationship between the number of days since cocaine withdrawal and regional brain glucose metabolism in the orbitofrontal cortex and in the basal ganglia, and the correlations between cocaine craving and metabolic activity were significant in the prefrontal cortex and the orbitofrontal cortex. Conclusions Although the time-dependent fall in metabolic activity suggests that the higher metabolic activity observed less than a week after cocaine withdrawal may represent a nonspecific expression of drug withdrawal, the selectivity of changes in glucose metabolism for the basal ganglia and for the orbitofrontal cortex suggests that the regional metabolic changes seen in cocaine abusers during detoxification are related to changes in brain dopamine activity.

446 citations


Authors

Showing all 32829 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Dennis W. Dickson1911243148488
Hyun-Chul Kim1764076183227
David Baker1731226109377
J. N. Butler1722525175561
Roderick T. Bronson169679107702
Nora D. Volkow165958107463
Jovan Milosevic1521433106802
Thomas E. Starzl150162591704
Paolo Boffetta148145593876
Jacques Banchereau14363499261
Larry R. Squire14347285306
John D. E. Gabrieli14248068254
Alexander Milov142114393374
Meenakshi Narain1421805147741
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023124
2022453
20213,609
20203,747
20193,426
20183,127