@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} } @article{HahnDreslerPykaetal.2013, author = {Hahn, Tim and Dresler, Thomas and Pyka, Martin and Notebaert, Karolien and Fallgatter, Andreas J.}, title = {Local Synchronization of Resting-State Dynamics Encodes Gray's Trait Anxiety}, series = {PLoS ONE}, volume = {8}, journal = {PLoS ONE}, number = {3}, doi = {10.1371/journal.pone.0058336}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131057}, pages = {e58336}, year = {2013}, abstract = {The Behavioral Inhibition System (BIS) as defined within the Reinforcement Sensitivity Theory (RST) modulates reactions to stimuli indicating aversive events. Gray's trait Anxiety determines the extent to which stimuli activate the BIS. While studies have identified the amygdala-septo-hippocampal circuit as the key-neural substrate of this system in recent years and measures of resting-state dynamics such as randomness and local synchronization of spontaneous BOLD fluctuations have recently been linked to personality traits, the relation between resting-state dynamics and the BIS remains unexplored. In the present study, we thus examined the local synchronization of spontaneous fMRI BOLD fluctuations as measured by Regional Homogeneity (ReHo) in the hippocampus and the amygdala in twenty-seven healthy subjects. Correlation analyses showed that Gray's trait Anxiety was significantly associated with mean ReHo in both the amygdala and the hippocampus. Specifically, Gray's trait Anxiety explained 23\% and 17\% of resting-state ReHo variance in the left amygdala and the left hippocampus, respectively. In summary, we found individual differences in Gray's trait Anxiety to be associated with ReHo in areas previously associated with BIS functioning. Specifically, higher ReHo in resting-state neural dynamics corresponded to lower sensitivity to punishment scores both in the amygdala and the hippocampus. These findings corroborate and extend recent findings relating resting-state dynamics and personality while providing first evidence linking properties of resting-state fluctuations to Gray's BIS.}, language = {en} } @article{HenningsKohliCzamaraetal.2013, author = {Hennings, Johannes M. and Kohli, Martin A. and Czamara, Darina and Giese, Maria and Eckert, Anne and Wolf, Christiane and Heck, Angela and Domschke, Katharina and Arolt, Volker and Baune, Bernhard T. and Horstmann, Sonja and Br{\"u}ckl, Tanja and Klengel, Torsten and Menke, Andreas and M{\"u}ller-Myhsok, Bertram and Ising, Marcus and Uhr, Manfred and Lucae, Susanne}, title = {Possible Associations of NTRK2 Polymorphisms with Antidepressant Treatment Outcome: Findings from an Extended Tag SNP Approach}, series = {PLoS ONE}, volume = {8}, journal = {PLoS ONE}, number = {6}, doi = {10.1371/journal.pone.0065636}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-130924}, pages = {e64947}, year = {2013}, abstract = {Background: Data from clinical studies and results from animal models suggest an involvement of the neurotrophin system in the pathology of depression and antidepressant treatment response. Genetic variations within the genes coding for the brain-derived neurotrophic factor (BDNF) and its key receptor Trkb (NTRK2) may therefore influence the response to antidepressant treatment. Methods: We performed a single and multi-marker association study with antidepressant treatment outcome in 398 depressed Caucasian inpatients participating in the Munich Antidepressant Response Signature (MARS) project. Two Caucasian replication samples (N = 249 and N = 247) were investigated, resulting in a total number of 894 patients. 18 tagging SNPs in the BDNF gene region and 64 tagging SNPs in the NTRK2 gene region were genotyped in the discovery sample; 16 nominally associated SNPs were tested in two replication samples. Results: In the discovery analysis, 7 BDNF SNPs and 9 NTRK2 SNPs were nominally associated with treatment response. Three NTRK2 SNPs (rs10868223, rs1659412 and rs11140778) also showed associations in at least one replication sample and in the combined sample with the same direction of effects (\(P_{corr}\) = .018, \(P_{corr}\) = .015 and \(P_{corr}\) = .004, respectively). We observed an across-gene BDNF-NTRK2 SNP interaction for rs4923468 and rs1387926. No robust interaction of associated SNPs was found in an analysis of BDNF serum protein levels as a predictor for treatment outcome in a subset of 93 patients. Conclusions/Limitations: Although not all associations in the discovery analysis could be unambiguously replicated, the findings of the present study identified single nucleotide variations in the BDNF and NTRK2 genes that might be involved in antidepressant treatment outcome and that have not been previously reported in this context. These new variants need further validation in future association studies.}, language = {en} } @article{SchecklmannGianiTupaketal.2014, author = {Schecklmann, Martin and Giani, Anette and Tupak, Sara and Langguth, Berthold and Raab, Vincent and Polak, Thomas and Varallyay, Csanad and Harnisch, Wilma and Herrmann, Martin J. and Fallgatter, Andreas J.}, title = {Functional Near-Infrared Spectroscopy to Probe State- and Trait-Like Conditions in Chronic Tinnitus: A Proof-of-Principle Study}, series = {Neural Plasticity}, journal = {Neural Plasticity}, number = {894203}, issn = {1687-5443}, doi = {10.1155/2014/894203}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-117801}, pages = {8}, year = {2014}, abstract = {Objective. Several neuroscience tools showed the involvement of auditory cortex in chronic tinnitus. In this proof-of-principle study we probed the capability of functional near-infrared spectroscopy (fNIRS) for the measurement of brain oxygenation in auditory cortex in dependence from chronic tinnitus and from intervention with transcranial magnetic stimulation. Methods. Twenty-three patients received continuous theta burst stimulation over the left primary auditory cortex in a randomized sham-controlled neuronavigated trial (verum = 12; placebo = 11). Before and after treatment, sound-evoked brain oxygenation in temporal areas was measured with fNIRS. Brain oxygenation was measured once in healthy controls (n = 12). Results. Sound-evoked activity in right temporal areas was increased in the patients in contrast to healthy controls. Left-sided temporal activity under the stimulated area changed over the course of the trial; high baseline oxygenation was reduced and vice versa. Conclusions. By demonstrating that rTMS interacts with auditory evoked brain activity, our results confirm earlier electrophysiological findings and indicate the sensitivity of fNIRS for detecting rTMS induced changes in brain activity. Moreover, our findings of trait-and state-related oxygenation changes indicate the potential of fNIRS for the investigation of tinnitus pathophysiology and treatment response.}, language = {en} }