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Patricia Steen M. D. 《The Psychiatric quarterly》1931,5(4):652-658
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Ohne Zusammenfassung 相似文献
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Peter Kochunov L. Elliot Hong Emily L. Dennis Rajendra A. Morey David F. Tate Elisabeth A. Wilde Mark Logue Sinead Kelly Gary Donohoe Pauline Favre Josselin Houenou Christopher R. K. Ching Laurena Holleran Ole A. Andreassen Laura S. van Velzen Lianne Schmaal Julio E. Villaln-Reina Carrie E. Bearden Fabrizio Piras Gianfranco Spalletta Odile A. van den Heuvel Dick J. Veltman Dan J. Stein Meghann C. Ryan Yunlong Tan Theo G. M. van Erp Jessica A. Turner Liz Haddad Talia M. Nir David C. Glahn Paul M. Thompson Neda Jahanshad 《Human brain mapping》2022,43(1):194-206
The ENIGMA-DTI (diffusion tensor imaging) workgroup supports analyses that examine the effects of psychiatric, neurological, and developmental disorders on the white matter pathways of the human brain, as well as the effects of normal variation and its genetic associations. The seven ENIGMA disorder-oriented working groups used the ENIGMA-DTI workflow to derive patterns of deficits using coherent and coordinated analyses that model the disease effects across cohorts worldwide. This yielded the largest studies detailing patterns of white matter deficits in schizophrenia spectrum disorder (SSD), bipolar disorder (BD), major depressive disorder (MDD), obsessive–compulsive disorder (OCD), posttraumatic stress disorder (PTSD), traumatic brain injury (TBI), and 22q11 deletion syndrome. These deficit patterns are informative of the underlying neurobiology and reproducible in independent cohorts. We reviewed these findings, demonstrated their reproducibility in independent cohorts, and compared the deficit patterns across illnesses. We discussed translating ENIGMA-defined deficit patterns on the level of individual subjects using a metric called the regional vulnerability index (RVI), a correlation of an individual's brain metrics with the expected pattern for a disorder. We discussed the similarity in white matter deficit patterns among SSD, BD, MDD, and OCD and provided a rationale for using this index in cross-diagnostic neuropsychiatric research. We also discussed the difference in deficit patterns between idiopathic schizophrenia and 22q11 deletion syndrome, which is used as a developmental and genetic model of schizophrenia. Together, these findings highlight the importance of collaborative large-scale research to provide robust and reproducible effects that offer insights into individual vulnerability and cross-diagnosis features. 相似文献
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Evangelos Vassos Stacy Steinberg Sven Cichon Gerome Breen Engilbert Sigurdsson Ole A. Andreassen Srdjan Djurovic Gunnar Morken Maria Grigoroiu-Serbanescu Carmen C. Diaconu Piotr M. Czerski Joanna Hauser Gulja Babadjanova Lilia I. Abramova Thomas W. Mühleisen Markus M. Nöthen Marcella Rietschel Peter McGuffin David A. Collier 《Neuropsychopharmacology》2012,72(8):645-650
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Lykkeberg AK Sengeløv G Cornett C Tjørnelund J Hansen SH Halling-Sørensen B 《Journal of pharmaceutical and biomedical analysis》2004,34(3):559-567
2-Acetyl-2-decarboxamido-oxytetracycline (ADOTC) is a major impurity of oxytetracycline (OTC) produced as a side product during fermentation. ADOTC was isolated from OTC and other impurities using preparative HPLC. The preparative column was an Xterra MS, C18 chromatographic column (100 mm x 19 mm i.d., 5 microm), and the mobile phase contained methanol-water (27:73 (v/v)) with 0.08 M formic acid added. The flow rate was 9.0 ml/min. It was possible to isolate few milligram ADOTC in a day. The compound was unambiguously identified using NMR and MS-MS. The anti-microbial activity against activated sludge bacteria was determined giving a potency of only 3% of that of OTC. With tetracycline-resistant bacteria, no anti-microbial activity was observed, indicating a mode of action similar to that of OTC. 相似文献