TY  - JOUR
A1  - Zaho, Huaying
A1  - Ghirlando, Rodolfo
A1  - Alfonso, Carlos
A1  - Arisaka, Fumio
A1  - Attali, Ilan
A1  - Bain, David L.
A1  - Bakhtina, Marina M.
A1  - Becker, Donald F.
A1  - Bedwell, Gregory J.
A1  - Bekdemir, Ahmet
A1  - Besong, Tabot M. D.
A1  - Birck, Catherine
A1  - Brautigam, Chad A.
A1  - Brennerman, William
A1  - Byron, Olwyn
A1  - Bzowska, Agnieszka
A1  - Chaires, Jonathan B.
A1  - Chaton, Catherine T.
A1  - Coelfen, Helmbut
A1  - Connaghan, Keith D.
A1  - Crowley, Kimberly A.
A1  - Curth, Ute
A1  - Daviter, Tina
A1  - Dean, William L.
A1  - Diez, Ana I.
A1  - Ebel, Christine
A1  - Eckert, Debra M.
A1  - Eisele, Leslie E.
A1  - Eisenstein, Edward
A1  - England, Patrick
A1  - Escalante, Carlos
A1  - Fagan, Jeffrey A.
A1  - Fairman, Robert
A1  - Finn, Ron M.
A1  - Fischle, Wolfgang
A1  - Garcia de la Torre, Jose
A1  - Gor, Jayesh
A1  - Gustafsson, Henning
A1  - Hall, Damien
A1  - Harding, Stephen E.
A1  - Hernandez Cifre, Jose G.
A1  - Herr, Andrew B.
A1  - Howell, Elizabeth E.
A1  - Isaac, Richard S.
A1  - Jao, Shu-Chuan
A1  - Jose, Davis
A1  - Kim, Soon-Jong
A1  - Kokona, Bashkim
A1  - Kornblatt, Jack A.
A1  - Kosek, Dalibor
A1  - Krayukhina, Elena
A1  - Krzizike, Daniel
A1  - Kusznir, Eric A.
A1  - Kwon, Hyewon
A1  - Larson, Adam
A1  - Laue, Thomas M.
A1  - Le Roy, Aline
A1  - Leech, Andrew P.
A1  - Lilie, Hauke
A1  - Luger, Karolin
A1  - Luque-Ortega, Juan R.
A1  - Ma, Jia
A1  - May, Carrie A.
A1  - Maynard, Ernest L.
A1  - Modrak-Wojcik, Anna
A1  - Mok, Yee-Foong
A1  - Mücke, Norbert
A1  - Nagel-Steger, Luitgard
A1  - Narlikar, Geeta J.
A1  - Noda, Masanori
A1  - Nourse, Amanda
A1  - Obsil, Thomas
A1  - Park, Chad K
A1  - Park, Jin-Ku
A1  - Pawelek, Peter D.
A1  - Perdue, Erby E.
A1  - Perkins, Stephen J.
A1  - Perugini, Matthew A.
A1  - Peterson, Craig L.
A1  - Peverelli, Martin G.
A1  - Piszczek, Grzegorz
A1  - Prag, Gali
A1  - Prevelige, Peter E.
A1  - Raynal, Bertrand D. E.
A1  - Rezabkova, Lenka
A1  - Richter, Klaus
A1  - Ringel, Alison E.
A1  - Rosenberg, Rose
A1  - Rowe, Arthur J.
A1  - Rufer, Arne C.
A1  - Scott, David J.
A1  - Seravalli, Javier G.
A1  - Solovyova, Alexandra S.
A1  - Song, Renjie
A1  - Staunton, David
A1  - Stoddard, Caitlin
A1  - Stott, Katherine
A1  - Strauss, Holder M.
A1  - Streicher, Werner W.
A1  - Sumida, John P.
A1  - Swygert, Sarah G.
A1  - Szczepanowski, Roman H.
A1  - Tessmer, Ingrid
A1  - Toth, Ronald T.
A1  - Tripathy, Ashutosh
A1  - Uchiyama, Susumu
A1  - Uebel, Stephan F. W.
A1  - Unzai, Satoru
A1  - Gruber, Anna Vitlin
A1  - von Hippel, Peter H.
A1  - Wandrey, Christine
A1  - Wang, Szu-Huan
A1  - Weitzel, Steven E
A1  - Wielgus-Kutrowska, Beata
A1  - Wolberger, Cynthia
A1  - Wolff, Martin
A1  - Wright, Edward
A1  - Wu, Yu-Sung
A1  - Wubben, Jacinta M.
A1  - Schuck, Peter
T1  - A Multilaboratory Comparison of Calibration Accuracy and the Performance of External References in Analytical Ultracentrifugation
JF  - PLoS ONE
N2  - Analytical ultracentrifugation (AUC) is a first principles based method to determine absolute sedimentation coefficients and buoyant molar masses of macromolecules and their complexes, reporting on their size and shape in free solution. The purpose of this multi-laboratory study was to establish the precision and accuracy of basic data dimensions in AUC and validate previously proposed calibration techniques. Three kits of AUC cell assemblies containing radial and temperature calibration tools and a bovine serum albumin (BSA) reference sample were shared among 67 laboratories, generating 129 comprehensive data sets. These allowed for an assessment of many parameters of instrument performance, including accuracy of the reported scan time after the start of centrifugation, the accuracy of the temperature calibration, and the accuracy of the radial magnification. The range of sedimentation coefficients obtained for BSA monomer in different instruments and using different optical systems was from 3.655 S to 4.949 S, with a mean and standard deviation of (4.304\(\pm\)0.188) S (4.4%). After the combined application of correction factors derived from the external calibration references for elapsed time, scan velocity, temperature, and radial magnification, the range of s-values was reduced 7-fold with a mean of 4.325 S and a 6-fold reduced standard deviation of \(\pm\)0.030 S (0.7%). In addition, the large data set provided an opportunity to determine the instrument-to-instrument variation of the absolute radial positions reported in the scan files, the precision of photometric or refractometric signal magnitudes, and the precision of the calculated apparent molar mass of BSA monomer and the fraction of BSA dimers. These results highlight the necessity and effectiveness of independent calibration of basic AUC data dimensions for reliable quantitative studies.
KW  - fluorescence-detected sedimentation
KW  - size exclusion chromatography
KW  - field flow fractionation
KW  - spinco ultracentrifuge
KW  - aggregation
KW  - bead models
KW  - velocity
KW  - hydrodynamics
KW  - biopharmaceuticals
KW  - proteins
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-151903
VL  - 10
IS  - 5
ER  - 
TY  - JOUR
A1  - Marenholz, Ingo
A1  - Esparza-Gordillo, Jorge
A1  - Rüschendorf, Franz
A1  - Bauerfeind, Anja
A1  - Strachan, David P.
A1  - Spycher, Ben D.
A1  - Baurecht, Hansjörg
A1  - Magaritte-Jeannin, Patricia
A1  - Sääf, Annika
A1  - Kerkhof, Marjan
A1  - Ege, Markus
A1  - Baltic, Svetlana
A1  - Matheson, Melanie C.
A1  - Li, Jin
A1  - Michel, Sven
A1  - Ang, Wei Q.
A1  - McArdle, Wendy
A1  - Arnold, Andreas
A1  - Homuth, Georg
A1  - Demenais, Florence
A1  - Bouzigon, Emmanuelle
A1  - Söderhäll, Cilla
A1  - Pershagen, Göran
A1  - de Jongste, Johan C.
A1  - Postma, Dirkje S.
A1  - Braun-Fahrländer, Charlotte
A1  - Horak, Elisabeth
A1  - Ogorodova, Ludmila M.
A1  - Puzyrev, Valery P.
A1  - Bragina, Elena Yu
A1  - Hudson, Thomas J.
A1  - Morin, Charles
A1  - Duffy, David L.
A1  - Marks, Guy B.
A1  - Robertson, Colin F.
A1  - Montgomery, Grant W.
A1  - Musk, Bill
A1  - Thompson, Philip J.
A1  - Martin, Nicholas G.
A1  - James, Alan
A1  - Sleiman, Patrick
A1  - Toskala, Elina
A1  - Rodriguez, Elke
A1  - Fölster-Holst, Regina
A1  - Franke, Andre
A1  - Lieb, Wolfgang
A1  - Gieger, Christian
A1  - Heinzmann, Andrea
A1  - Rietschel, Ernst
A1  - Keil, Thomas
A1  - Cichon, Sven
A1  - Nöthen, Markus M.
A1  - Pennel, Craig E.
A1  - Sly, Peter D.
A1  - Schmidt, Carsten O.
A1  - Matanovic, Anja
A1  - Schneider, Valentin
A1  - Heinig, Matthias
A1  - Hübner, Norbert
A1  - Holt, Patrick G.
A1  - Lau, Susanne
A1  - Kabesch, Michael
A1  - Weidinger, Stefan
A1  - Hakonarson, Hakon
A1  - Ferreira, Manuel A. R.
A1  - Laprise, Catherine
A1  - Freidin, Maxim B.
A1  - Genuneit, Jon
A1  - Koppelman, Gerard H.
A1  - Melén, Erik
A1  - Dizier, Marie-Hélène
A1  - Henderson, A. John
A1  - Lee, Young Ae
T1  - Meta-analysis identifies seven susceptibility loci involved in the atopic march
JF  - Nature Communications
N2  - Eczema often precedes the development of asthma in a disease course called the 'atopic march'. To unravel the genes underlying this characteristic pattern of allergic disease, we conduct a multi-stage genome-wide association study on infantile eczema followed by childhood asthma in 12 populations including 2,428 cases and 17,034 controls. Here we report two novel loci specific for the combined eczema plus asthma phenotype, which are associated with allergic disease for the first time; rs9357733 located in EFHC1 on chromosome 6p12.3 (OR 1.27; P = 2.1 x 10(-8)) and rs993226 between TMTC2 and SLC6A15 on chromosome 12q21.3 (OR 1.58; P = 5.3 x 10(-9)). Additional susceptibility loci identified at genome-wide significance are FLG (1q21.3), IL4/KIF3A (5q31.1), AP5B1/OVOL1 (11q13.1), C11orf30/LRRC32 (11q13.5) and IKZF3 (17q21). We show that predominantly eczema loci increase the risk for the atopic march. Our findings suggest that eczema may play an important role in the development of asthma after eczema.
KW  - chromosome 11Q13
KW  - risk
KW  - genomewide association
KW  - hay fever
KW  - birth cohort
KW  - filaggrin mutations
KW  - food allergy
KW  - juvenile myoclonic epilepsy
KW  - childhood asthma
KW  - dermatitis
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-139835
VL  - 6
IS  - 8804
ER  - 
TY  - JOUR
A1  - Pollitt, Alice Y.
A1  - Poulter, Natalie S.
A1  - Gitz, Eelo
A1  - Navarro-Nuñez, Leyre
A1  - Wang, Ying-Jie
A1  - Hughes, Craig E.
A1  - Thomas, Steven G.
A1  - Nieswandt, Bernhard
A1  - Douglas, Michael R.
A1  - Owen, Dylan M.
A1  - Jackson, David G.
A1  - Dustin, Michael L.
A1  - Watson, Steve P.
T1  - Syk and Src Family Kinases Regulate C-type Lectin Receptor 2 (CLEC-2)-mediated Clustering of Podoplanin and Platelet Adhesion to Lymphatic Endothelial Cells*
JF  - The Journal of Biological Chemistry
N2  - The interaction of CLEC-2 on platelets with Podoplanin on lymphatic endothelial cells initiates platelet signalling events that are necessary for prevention of blood-lymph mixing during development. In the present study, we show that CLEC-2 signalling via Src family and Syk tyrosine kinases promotes platelet adhesion to primary mouse lymphatic endothelial cells at low shear. Using supported lipid bilayers containing mobile Podoplanin, we further show that activation of Src and Syk in platelets promotes clustering of CLEC-2 and Podoplanin. Clusters of CLEC-2-bound Podoplanin migrate rapidly to the centre of the platelet to form a single structure. Fluorescence life-time imaging demonstrates that molecules within these clusters are within 10 nm of one another and that the clusters are disrupted by inhibition of Src and Syk family kinases. CLEC-2 clusters are also seen in platelets adhered to immobilised Podoplanin using direct stochastic optical reconstruction microscopy (dSTORM). These findings provide mechanistic insight by which CLEC-2 signalling promotes adhesion to Podoplanin and regulation of Podoplanin signalling thereby contributing to lymphatic vasculature development.
KW  - endothelial cell
KW  - lipid bilayer
KW  - platelet receptor
KW  - tyrosine-protein kinase
KW  - CLEC-2 ITAM
KW  - podoplanin
KW  - Src family
KW  - kinase Syk
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-120770
VL  - 289
IS  - 52
ER  - 
TY  - JOUR
A1  - Harrison, Odile B.
A1  - Claus, Heike
A1  - Jiang, Ying
A1  - Bennett, Julia S.
A1  - Bratcher, Holly B.
A1  - Jolley, Keith A.
A1  - Corton, Craig
A1  - Care, Rory
A1  - Poolman, Jan T.
A1  - Zollinger, Wendell D.
A1  - Frasch, Carl E.
A1  - Stephens, David S.
A1  - Feavers, Ian
A1  - Frosch, Matthias
A1  - Parkhill, Julian
A1  - Vogel, Ulrich
A1  - Quail, Michael A.
A1  - Bentley, Stephen D.
A1  - Maiden, Martin C. J.
T1  - Description and Nomenclature of Neisseria meningitidis Capsule Locus
JF  - Emerging Infectious Diseases
N2  - Pathogenic Neisseria meningitidis isolates contain a polysaccharide capsule that is the main virulence determinant for this bacterium. Thirteen capsular polysaccharides have been described, and nuclear magnetic resonance spectroscopy has enabled determination of the structure of capsular polysaccharides responsible for serogroup specificity. Molecular mechanisms involved in N. meningitidis capsule biosynthesis have also been identified, and genes involved in this process and in cell surface translocation are clustered at a single chromosomal locus termed cps. The use of multiple names for some of the genes involved in capsule synthesis, combined with the need for rapid diagnosis of serogroups commonly associated with invasive meningococcal disease, prompted a requirement for a consistent approach to the nomenclature of capsule genes. In this report, a comprehensive description of all N. meningitidis serogroups is provided, along with a proposed nomenclature, which was presented at the 2012 XVIIIth International Pathogenic Neisseria Conference.
KW  - genetics
KW  - nuclear magnetic resonance
KW  - structural determination
KW  - meningococcal polysaccharides
KW  - chemical properties
KW  - serogroup-Y
KW  - group-B
KW  - antigen
KW  - biosynthesis
KW  - elucidation
Y1  - 2013
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-131703
VL  - 19
IS  - 4
ER  - 
TY  - JOUR
A1  - Breuer, René
A1  - Mattheisen, Manuel
A1  - Frank, Josef
A1  - Krumm, Bertram
A1  - Treutlein, Jens
A1  - Kassem, Layla
A1  - Strohmaier, Jana
A1  - Herms, Stefan
A1  - Mühleisen, Thomas W.
A1  - Degenhardt, Franziska
A1  - Cichon, Sven
A1  - Nöthen, Markus M.
A1  - Karypis, George
A1  - Kelsoe, John
A1  - Greenwood, Tiffany
A1  - Nievergelt, Caroline
A1  - Shilling, Paul
A1  - Shekhtman, Tatyana
A1  - Edenberg, Howard
A1  - Craig, David
A1  - Szelinger, Szabolcs
A1  - Nurnberger, John
A1  - Gershon, Elliot
A1  - Alliey-Rodriguez, Ney
A1  - Zandi, Peter
A1  - Goes, Fernando
A1  - Schork, Nicholas
A1  - Smith, Erin
A1  - Koller, Daniel
A1  - Zhang, Peng
A1  - Badner, Judith
A1  - Berrettini, Wade
A1  - Bloss, Cinnamon
A1  - Byerley, William
A1  - Coryell, William
A1  - Foroud, Tatiana
A1  - Guo, Yirin
A1  - Hipolito, Maria
A1  - Keating, Brendan
A1  - Lawson, William
A1  - Liu, Chunyu
A1  - Mahon, Pamela
A1  - McInnis, Melvin
A1  - Murray, Sarah
A1  - Nwulia, Evaristus
A1  - Potash, James
A1  - Rice, John
A1  - Scheftner, William
A1  - Zöllner, Sebastian
A1  - McMahon, Francis J.
A1  - Rietschel, Marcella
A1  - Schulze, Thomas G.
T1  - Detecting significant genotype–phenotype association rules in bipolar disorder: market research meets complex genetics
JF  - International Journal of Bipolar Disorders
N2  - Background
Disentangling the etiology of common, complex diseases is a major challenge in genetic research. For bipolar disorder (BD), several genome-wide association studies (GWAS) have been performed. Similar to other complex disorders, major breakthroughs in explaining the high heritability of BD through GWAS have remained elusive. To overcome this dilemma, genetic research into BD, has embraced a variety of strategies such as the formation of large consortia to increase sample size and sequencing approaches. Here we advocate a complementary approach making use of already existing GWAS data: a novel data mining procedure to identify yet undetected genotype–phenotype relationships. We adapted association rule mining, a data mining technique traditionally used in retail market research, to identify frequent and characteristic genotype patterns showing strong associations to phenotype clusters. We applied this strategy to three independent GWAS datasets from 2835 phenotypically characterized patients with BD. In a discovery step, 20,882 candidate association rules were extracted.

Results
Two of these rules—one associated with eating disorder and the other with anxiety—remained significant in an independent dataset after robust correction for multiple testing. Both showed considerable effect sizes (odds ratio ~ 3.4 and 3.0, respectively) and support previously reported molecular biological findings.

Conclusion
Our approach detected novel specific genotype–phenotype relationships in BD that were missed by standard analyses like GWAS. While we developed and applied our method within the context of BD gene discovery, it may facilitate identifying highly specific genotype–phenotype relationships in subsets of genome-wide data sets of other complex phenotype with similar epidemiological properties and challenges to gene discovery efforts.
KW  - bipolar disorder
KW  - subphenotypes
KW  - rule discovery
KW  - data mining
KW  - genotype-phenotype patterns
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-220509
VL  - 6
ER  - 
TY  - JOUR
A1  - Dumont, Martine
A1  - Weber-Lassalle, Nana
A1  - Joly-Beauparlant, Charles
A1  - Ernst, Corinna
A1  - Droit, Arnaud
A1  - Feng, Bing-Jian
A1  - Dubois, Stéphane
A1  - Collin-Deschesnes, Annie-Claude
A1  - Soucy, Penny
A1  - Vallée, Maxime
A1  - Fournier, Frédéric
A1  - Lemaçon, Audrey
A1  - Adank, Muriel A.
A1  - Allen, Jamie
A1  - Altmüller, Janine
A1  - Arnold, Norbert
A1  - Ausems, Margreet G. E. M.
A1  - Berutti, Riccardo
A1  - Bolla, Manjeet K.
A1  - Bull, Shelley
A1  - Carvalho, Sara
A1  - Cornelissen, Sten
A1  - Dufault, Michael R.
A1  - Dunning, Alison M.
A1  - Engel, Christoph
A1  - Gehrig, Andrea
A1  - Geurts-Giele, Willemina R. R.
A1  - Gieger, Christian
A1  - Green, Jessica
A1  - Hackmann, Karl
A1  - Helmy, Mohamed
A1  - Hentschel, Julia
A1  - Hogervorst, Frans B. L.
A1  - Hollestelle, Antoinette
A1  - Hooning, Maartje J.
A1  - Horváth, Judit
A1  - Ikram, M. Arfan
A1  - Kaulfuß, Silke
A1  - Keeman, Renske
A1  - Kuang, Da
A1  - Luccarini, Craig
A1  - Maier, Wolfgang
A1  - Martens, John W. M.
A1  - Niederacher, Dieter
A1  - Nürnberg, Peter
A1  - Ott, Claus-Eric
A1  - Peters, Annette
A1  - Pharoah, Paul D. P.
A1  - Ramirez, Alfredo
A1  - Ramser, Juliane
A1  - Riedel-Heller, Steffi
A1  - Schmidt, Gunnar
A1  - Shah, Mitul
A1  - Scherer, Martin
A1  - Stäbler, Antje
A1  - Strom, Tim M.
A1  - Sutter, Christian
A1  - Thiele, Holger
A1  - van Asperen, Christi J.
A1  - van der Kolk, Lizet
A1  - van der Luijt, Rob B.
A1  - Volk, Alexander E.
A1  - Wagner, Michael
A1  - Waisfisz, Quinten
A1  - Wang, Qin
A1  - Wang-Gohrke, Shan
A1  - Weber, Bernhard H. F.
A1  - Devilee, Peter
A1  - Tavtigian, Sean
A1  - Bader, Gary D.
A1  - Meindl, Alfons
A1  - Goldgar, David E.
A1  - Andrulis, Irene L.
A1  - Schmutzler, Rita K.
A1  - Easton, Douglas F.
A1  - Schmidt, Marjanka K.
A1  - Hahnen, Eric
A1  - Simard, Jacques
T1  - Uncovering the contribution of moderate-penetrance susceptibility genes to breast cancer by whole-exome sequencing and targeted enrichment sequencing of candidate genes in women of European ancestry
JF  - Cancers
N2  - Rare variants in at least 10 genes, including BRCA1, BRCA2, PALB2, ATM, and CHEK2, are associated with increased risk of breast cancer; however, these variants, in combination with common variants identified through genome-wide association studies, explain only a fraction of the familial aggregation of the disease. To identify further susceptibility genes, we performed a two-stage whole-exome sequencing study. In the discovery stage, samples from 1528 breast cancer cases enriched for breast cancer susceptibility and 3733 geographically matched unaffected controls were sequenced. Using five different filtering and gene prioritization strategies, 198 genes were selected for further validation. These genes, and a panel of 32 known or suspected breast cancer susceptibility genes, were assessed in a validation set of 6211 cases and 6019 controls for their association with risk of breast cancer overall, and by estrogen receptor (ER) disease subtypes, using gene burden tests applied to loss-of-function and rare missense variants. Twenty genes showed nominal evidence of association (p-value < 0.05) with either overall or subtype-specific breast cancer. Our study had the statistical power to detect susceptibility genes with effect sizes similar to ATM, CHEK2, and PALB2, however, it was underpowered to identify genes in which susceptibility variants are rarer or confer smaller effect sizes. Larger sample sizes would be required in order to identify such genes.
KW  - breast cancer
KW  - genetic susceptibility
KW  - whole-exome sequencing
KW  - moderate-penetrance genes
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-281768
SN  - 2072-6694
VL  - 14
IS  - 14
ER  - 
TY  - JOUR
A1  - Deeb, Wissam
A1  - Giordano, James J.
A1  - Rossi, Peter J.
A1  - Mogilner, Alon Y.
A1  - Gunduz, Aysegul
A1  - Judy, Jack W.
A1  - Klassen, Bryan T.
A1  - Butson, Christopher R.
A1  - Van Horne, Craig
A1  - Deny, Damiaan
A1  - Dougherty, Darin D.
A1  - Rowell, David
A1  - Gerhardt, Greg A.
A1  - Smith, Gwenn S.
A1  - Ponce, Francisco A.
A1  - Walker, Harrison C.
A1  - Bronte-Stewart, Helen M.
A1  - Mayberg, Helen S.
A1  - Chizeck, Howard J.
A1  - Langevin, Jean-Philippe
A1  - Volkmann, Jens
A1  - Ostrem, Jill L.
A1  - Shute, Jonathan B.
A1  - Jimenez-Shahed, Joohi
A1  - Foote, Kelly D.
A1  - Wagle Shukla, Aparna
A1  - Rossi, Marvin A.
A1  - Oh, Michael
A1  - Pourfar, Michael
A1  - Rosenberg, Paul B.
A1  - Silburn, Peter A.
A1  - de Hemptine, Coralie
A1  - Starr, Philip A.
A1  - Denison, Timothy
A1  - Akbar, Umer
A1  - Grill, Warren M.
A1  - Okun, Michael S.
T1  - Proceedings of the Fourth Annual Deep Brain Stimulation Think Tank: A Review of Emerging Issues and Technologies
JF  - Frontiers in Integrative Neuroscience
N2  - This paper provides an overview of current progress in the technological advances and the use of deep brain stimulation (DBS) to treat neurological and neuropsychiatric disorders, as presented by participants of the Fourth Annual DBS Think Tank, which was convened in March 2016 in conjunction with the Center for Movement Disorders and Neurorestoration at the University of Florida, Gainesveille FL, USA. The Think Tank discussions first focused on policy and advocacy in DBS research and clinical practice, formation of registries, and issues involving the use of DBS in the treatment of Tourette Syndrome. Next, advances in the use of neuroimaging and electrochemical markers to enhance DBS specificity were addressed. Updates on ongoing use and developments of DBS for the treatment of Parkinson's disease, essential tremor, Alzheimer's disease, depression, post-traumatic stress disorder, obesity, addiction were presented, and progress toward innovation(s) in closed-loop applications were discussed. Each section of these proceedings provides updates and highlights of new information as presented at this year's international Think Tank, with a view toward current and near future advancement of the field.
KW  - deep brain stimulation
KW  - Parkinson’s disease
KW  - Alzheimer’s disease
KW  - closed-loop
KW  - depression
KW  - post-traumatic stress disorder
KW  - Tourette syndrome
KW  - DARPA
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-168493
VL  - 10
IS  - 38
ER  -