@article{RoesslerSpaetheGroh2017,
  author    = {R{\"o}ssler, Wolfgang and Spaethe, Johannes and Groh, Claudia},
  title     = {Pitfalls of using confocal-microscopy based automated quantification of synaptic complexes in honeybee mushroom bodies (response to Peng and Yang 2016)},
  series = {Scientific Reports},
  volume    = {7},
  journal   = {Scientific Reports},
  number    = {9786},
  doi       = {10.1038/s41598-017-09967-8},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-170451},
  year      = {2017},
  abstract  = {A recent study by Peng and Yang in Scientific Reports using confocal-microscopy based automated quantification of anti-synapsin labeled microglomeruli in the mushroom bodies of honeybee brains reports potentially incorrect numbers of microglomerular densities. Whereas several previous studies using visually supervised or automated counts from confocal images and analyses of serial 3D electron-microscopy data reported consistent numbers of synaptic complexes per volume, Peng and Yang revealed extremely low numbers differing by a factor of 18 or more from those obtained in visually supervised counts, and by a factor 22-180 from numbers in two other studies using automated counts. This extreme discrepancy is especially disturbing as close comparison of raw confocal images of anti-synapsin labeled whole-mount brain preparations are highly similar across these studies. We conclude that these discrepancies may reside in potential misapplication of confocal imaging followed by erroneous use of automated image analysis software. Consequently, the reported microglomerular densities during maturation and after manipulation by insecticides require validation by application of appropriate confocal imaging methods and analyses tools that rely on skilled observers. We suggest several improvements towards more reliable or standardized automated or semi-automated synapse counts in whole mount preparations of insect brains.},
  language  = {en}
}
@article{HibarAdamsJahanshadetal.2017,
  author    = {Hibar, Derrek P. and Adams, Hieab H.H. and Jahanshad, Neda and Chauhan, Ganesh and Stein, Jason L and Hofer, Edith and Renteria, Miguel E. and Bis, Joshua C. and Arias-Vasquez, Alejandro and Ikram, M. Kamran and Desrivi{\`e}res, Sylvane and Vernooij, Meike W. and Abramovic, Lucija and Alhusaini, Saud and Amin, Najaf and Andersson, Micael and Arfanakis, Konstantinos and Aribisala, Benjamin S. and Armstrong, Nicola J. and Athanasiu, Lavinia and Axelsson, Tomas and Beecham, Ashley H. and Beiser, Alexa and Bernard, Manon and Blanton, Susan H. and Bohlken, Marc M. and Boks, Marco P. and Bralten, Janita and Brickman, Adam M. and Carmichael, Owen},
  title     = {Novel genetic loci associated with hippocampal volume},
  series = {Nature Communications},
  volume    = {8},
  journal   = {Nature Communications},
  doi       = {10.1038/ncomms13624},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-182115},
  pages     = {12},
  year      = {2017},
  abstract  = {The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (r\(_g\)=-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.},
  language  = {en}
}