Special Lab Non-Invasive Brain Imaging
The core of our research is to identify learning- and memory-related processes of the human brain using imaging methods such as functional magnetic resonance tomography (fMRT), magnetoencephalography (MEG), and electroencephalography (EEG).
We aim at bridging the gap between human and animal research by developing experimental approaches, which also allow for comparable animal studies using invasive methods.
Further, we increasingly account on the advancement of computational models that incorporates anatomical, physiological, and cognitive aspects of our experimental findings and which allow quantitative predictions for future investigations.
Our Special lab is part of the overarching Combinatorial Neuroimaging Core Facility (CNI) that organizes access to the different imaging techniques available at LIN.
André Brechmann (l.) is head of the Special-Lab Non-Invasive Brain Imaging since 2004. He received his diploma in biology from the University of Bielefeld in 1997 and his PhD in Neuroscience in 2002 from the Otto-von-Guericke University Magdeburg. In 2004 he was visiting researcher at the Martinos Center for Biomedical Imaging Boston in preparation of the installation of Europe’s first 7 Tesla MRI at LIN. Since 2012 he is coordinator of the Combinatorial NeuroImaging Core Facility (CNI) at LIN. His research interests include the dynamics and individuality of learning processes in the human brain, the neural basis of auditory category formation and sequential processing, and the role of feedback in human-computer-interaction.
Reinhard König (r.) is co-head of the Special Laboratory Non-invasive Brain Imaging since 2004, and is responsible for the magnetoencephalography (MEG). He has Diploma (1987) and Ph.D. (1993) degrees in physics from University of Bayreuth, and he received his habilitation in experimental physics from the same university in 2000. He was postdoctoral fellow at the Institute of Physics at the University of Nottingham (1994–1996) and guest scientist at the Brain Research Unit at Helsinki University of Technology (2001–2002). His research interests include memory processes in the human brain, with particular emphasis on the auditory cortex, and the development and application of advanced methods and techniques for the processing and analysis of biomagnetic signals. Further, he increasingly focuses on the development and application of computational models of signal processing in auditory cortex, which also enters a green energy project for an improved power take-off from ocean waves.
Heads Dr. André Brechmann +49-391-6263-92161 email@example.com PD Dr. Reinhard König +49-391-6263-92131 firstname.lastname@example.org Postdocs Dr. Nicole Angenstein +49-391-6263-92141 email@example.com Dr. Artur Marek Matysiak +49-391-6263-92202 firstname.lastname@example.org Dr. Jörg Stadler +49-391-6263-92171 email@example.com Dr. Susann Wolff firstname.lastname@example.org PhD students Aida Hajizadeh +49-391-6263-92201 email@example.com Nina Härtwich +49-391-6263-92201 firstname.lastname@example.org Annika Michalek +49-391-6263-92141 email@example.com Marcel Lommerzheim +49-391-6263-92151 firstname.lastname@example.org Jing Ma +49-391-6263-92201 email@example.com Norman Peitek +49-391-6263-92152 firstname.lastname@example.org Peggy Seidel +49-391-6263-92141 email@example.com Technical staff members Renate Blobel-Lüer +49-391-6263-92182 firstname.lastname@example.org Andreas Fügner +49-391-6263-92191 email@example.com Anke Michalski +49-391-6263-92191 firstname.lastname@example.org Torsten Stöter +49-391-6263-92171 email@example.com Student Asim Hassan Dar +49-391-6263-92201 firstname.lastname@example.org
Brain mechanisms of information processing in dialogues (EFRE ZS/2017/10/88783)
Subproject of the EFRE funding "Intentional, Anticipatory, Interactive Systems"
Humans interpret interactions with technical systems as a dialogue. Each action of the system represents a feedback on the previous action of the user, who may utilize it for goal-oriented actions in subsequent interaction steps and interprets it with regard to a potential intentionality of the system. Neuroscientifically, these dynamic processes and their interplay with mutual adaptation of behavior and the derivation of intentions and goals of the counterpart have hardly been investigated. The subproject deals with the question which neurobiological mechanisms to consider when conceptualizing anticipatory assistive systems. The aim is to record the temporal dynamics of the neuronal activity of dialog-relevant brain systems as well as psychophysiological and behavioral parameters during the course of interactive problem solving. From this, hypotheses about current strategies and intentions of the user are derived, which serve as a basis for tailor-made interventions and metadialogs initiated by technical systems. Understanding the effects of such dialogical interventions on brain activity and behavior will contribute to the neuroscientific foundation of human-computer interactions.
Multimodal recognition of affect over the course of a tutorial learning experiment (DFG BR 2267/9-1)
Tutorial systems in a learning environment should support the user in reaching his specific leaning goals and react to his level of knowledge and individual abilities in a pedagogical reasonable manner. For this a comprehensive model of the user is essential taking the user’s prior knowledge and interaction history into account as well as his current affective state. Our research project will focus on an interactive learning task, in which the user is supported by a tutorial system component. Neurophysiological data (fMRT, EEG) and psychophysiological data (ECG, skin conductance, respiration) as well as details of user’s behavior (dynamics of key stroke, facial expressions) are recorded synchronously, in order to determine changing affective and cognitive user states by multimodal data analysis. The interdisciplinary analysis and interpretation of the interconnection between the partially weak signals of the single modalities, and the development and optimization of the classifiers for affect recognition are the primary goals of our research project.
Linking Program Comprehension to Neural, Behavioral, and Psycho-Physiological Correlates (DFG BR 2267/7-1, BR 2267/7-2)
Software developers spend most of their time with reading and understanding source code. Early theories of program comprehension have proposed hypothesis-driven (top-down) mechanisms and line-by-line (bottom-up) mechanisms of understanding code. However, the underlying cognitive processes of top-down and bottom-up program comprehension are still essentially unclear.
In the first project phase, we have set out to directly studying these processes by means of objective measures obtained from functional magnetic resonance imaging (fMRI). We have identified a set of brain regions specifically involved when participants are trying to understand source code. The pattern of activation was indicative of semantic processing tied to the left, i.e., the speech hemisphere, as well as attention and working memory functions. Promoting top-down comprehension, e.g., by informative beacons, have led to reduced activation in some of these brain areas, suggesting less cognitive effort, which we have confirmed by behavioral data. Our results have paved the way for other researchers using our neuro-imaging approach for follow-up studies on program comprehension.
The second project phase will refine our experimental framework by including eye tracking for specifying the time course of visual attention to inform a more specific analysis of the fMRI data as well as psycho-physiological measures (pupillometry, skin conductance, heart rate, and respiration) to identify changes in cognitive load. With this approach, we will study the impact of structural code elements (if-then-else statements, loops, recursion) as well as programming experience on top-down program comprehension and concomitant objective measures of brain activity, psycho-physiology, and behavior. Finally, based on the progress in the neurosciences on the neural basis of object processing, we will tackle the long-standing question about differences between object-oriented and functional programming.
- Current Third Party Funds
Leibniz Network (König, Wolfrum, May)
"Mathematical Modeling and Simulations": MMS Seed Money Grant "Dynamics of signal processing in auditory cortex: Combining computational modelling with mathematical principles"
EU-Horizon2020 Research and Innovation Programme (König, May)
“Developing the PTO of the first MW-level Oscillating Wave Surge Converter (MegaRoller)”
Graduate scholarship of the state Saxony-Anhalt (Härtwich)
“Investigating the effect of anatomical structure in the auditory cortex of gerbil, monkey, and human on auditory sensory memory”
DFG (Brechmann, Schwenker)
„Multimodale Affekterkennung im Verlaufe eines tutoriellen Lernexperiments“
EFRE Förderung „Intentionale Antizipatorische Interaktive Systeme“ (Brechmann)
TP2 „Hirnmechanismen der Informationsverarbeitung in Dialogen“
DAAD/PPP Polen (König)
“Neural Adaptation Studied with MEG and Advanced Statistical Methods”
Alexander von Humboldt Polish Honorary Research Scholarship of the Foundation for Polish Science (König)
DFG (Brechmann, Siegmund)
"Verstehen von Programmverständnis im Zeitalter der bildgebenden Verfahren”
Chinese Scholarship Council (Ma)
“Task dependence of stimulus adaptation in the auditory cortex of Mongolian gerbils”
Hajizadeh A, Matysiak A, May PJC, König R. 2019. Explaining event-related fields by a mechanistic model encapsulating the anatomical structure of auditory cortex. Biological Cybernetics. https://doi.org/10.1007/s00422-019-00795-9
Wendemuth A, Boeck R, Nuernberger A, Al-Hamadi A, Brechmann A, Ohl FW. 2019. Intention-Based Anticipatory Interactive Systems. In Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc. pp. 2583-2588. https://doi.org/10.1109/SMC.2018.00442
Lützkendorf R, Heidemann RM, Feiweier T, Luchtmann M, Baecke S, Kaufmann J, Stadler J, Budinger E, Bernarding J. 2018. Mapping fine-scale anatomy of gray matter, white matter, and trigeminal-root region applying spherical deconvolution to high-resolution 7-T diffusion MRI. Magnetic Resonance Materials in Physics, Biology and Medicine. 31(6):701-713. https://doi.org/10.1007/s10334-018-0705-9
Peitek N, Siegmund J, Parnin C, Apel S, Hofmeister J, Brechmann A. 2018. Simultaneous Measurement of Program Comprehension with fMRI and Eye Tracking: A Case Study. In Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2018. ACM. https://doi.org/10.1145/3239235.3240495
Annamneedi A, Caliskan G, Müller S, Montag D, Budinger E, Angenstein F, Fejtova A, Tischmeyer W, Gundelfinger ED, Stork O. 2018. Ablation of the presynaptic organizer Bassoon in excitatory neurons retards dentate gyrus maturation and enhances learning performance. Brain Structure and Function. 223(7):3423-3445. https://doi.org/10.1007/s00429-018-1692-3
Peitek N, Siegmund J, Apel S, Kastner C, Parnin C, Bethmann A, Leich T, Saake G, Brechmann A. 2018. A Look into Programmers Heads. IEEE Transactions on Software Engineering. https://doi.org/10.1109/TSE.2018.2863303
Peitek N, Siegmund J, Parnin C, Apel S, Brechmann A. 2018. Beyond Gaze: Preliminary Analysis of Pupil Dilation and Blink Rates in an fMRI Study of Program Comprehension. In EMIP '18 Proceedings of the Workshop on Eye Movements in Programming . New York, New York, USA: ACM. pp. 1-5. (Proceedings of the Workshop on Eye Movements in Programming - EMIP '18). https://doi.org/10.1145/3216723.3216726
Peitek N, Siegmund J, Parnin C, Apel S, Brechmann A. 2018. Toward Conjoint Analysis of Simultaneous Eye-Tracking and fMRI Data for Program-Comprehension Studies. In Proceedings of the Workshop on Eye Movements in Programming - EMIP '18. New York, New York, USA: ACM. pp. 1-5. https://doi.org/10.1145/3216723.3216725
Peitek N. 2018. A neuro-cognitive perspective of program comprehension. In Proceedings - International Conference on Software Engineering. IEEE Computer Society. pp. 496-499. https://doi.org/10.1145/3183440.3183442
Herrmann T, Liebig T, Mallow J, Bruns C, Stadler J, Mylius J, Brosch M, Svedja JT, Chen Z, Rennings A, Scheich H, Plaumann M, Hauser MJB, Bernarding J, Erni D. 2018. Metamaterial-based transmit and receive system for whole-body magnetic resonance imaging at ultra-high magnetic fields. PLoS ONE. 13(1). https://doi.org/10.1371/journal.pone.0191719
Siegert I, Lotz AF, Egorow O, Wolff S. 2018. Utilizing Psychoacoustic Modeling to Improve Speech-Based Emotion Recognition. Potapova R, Jokisch O, Karpov A, editors. In Speech and Computer - 20th International Conference, SPECOM 2018, Proceedings. Springer Verlag. pp. 625-635. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-99579-3_64
Aggelopoulos NC, Deike S, Selezneva E, Scheich H, Brechmann A, Brosch M. 2017. Predictive cues for auditory stream formation in humans and monkeys. European Journal of Neuroscience. Available from: 10.1111/ejn.13808
Iliadou V, Ptok M, Grech H, Pedersen ER, Brechmann A, Deggouj N, Kiese-Himmel C, Sliwinska-Kowalska M, Nickisch A, Demanez L, Veuillet E, Thai-Van H, Sirimanna T, Callimachou M, Santarelli R, Kuske S, Barajas J, Hedjever M, Konukseven O, Veraguth D, Mattsson TS, Martins JH, Bamiou DE. 2017. A European perspective on auditory processing disorder-current knowledge and future research focus. Frontiers in Neurology. 8(NOV). Available from: 10.3389/fneur.2017.00622
Heil P, Matysiak A. 2017. Absolute auditory threshold: Testing the absolute. European Journal of Neuroscience. Available from: 10.1111/ejn.13765
Siegmund J, Peitek N, Parnin C, Apel S, Hofmeister J, Kästner C, Begel A, Bethmann A, Brechmann A. 2017. Measuring Neural Efficiency of Program Comprehension. In Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering. AMC Press. pp. 140-150.
Angenstein N, Brechmann A. 2017. Effect of sequential comparison on active processing of sound duration. Human Brain Mapping. 38(9):4459-4469. Available from: 10.1002/hbm.23673
Prezenski S, Brechmann A, Wolff S, Russwinkel N. 2017. A cognitive modeling approach to strategy formation in dynamic decision making. Frontiers in Psychology. 8(AUG). Available from: 10.3389/fpsyg.2017.01335
Hakonen M, May PJC, Jääskeläinen IP, Jokinen E, Sams M, Tiitinen H. 2017. Predictive processing increases intelligibility of acoustically distorted speech: Behavioral and neural correlates. Brain and Behavior. Available from: 10.1002/brb3.789
Parnin C, Siegmund J, Peitek N. 2017. On the Nature of Programmer Expertise. In 28th Annual Workshop of the Psychology of Programming Interest Group (PPIG).
Low T, Bubalo N, Gossen T, Kotzyba M, Brechmann A, Huckauf A, Nürnberger A. 2017. Towards identifying user intentions in exploratory search using gaze and pupil tracking. In CHIIR 2017 - Proceedings of the 2017 Conference Human Information Interaction and Retrieval . Association for Computing Machinery, Inc. pp. 273-276. Available from: 10.1145/3020165.3022131
Kordowski P, Matysiak A, König R, Sielużycki C. 2017. Simultaneous spatio-temporal matching pursuit decomposition of evoked brain responses in MEG. Biological Cybernetics. 111(1):69-89. Available from: 10.1007/s00422-016-0707-5
Bhattacharya S, Herrera-Molina R, Sabanov V, Ahmed T, Iscru E, Stöber F, Richter K, Fischer KD, Angenstein F, Goldschmidt J, Beesley PW, Balschun D, Smalla KH, Gundelfinger ED, Montag D. 2017. Genetically induced retrograde amnesia of associative memories after neuroplastin ablation. Biological Psychiatry. 81(2):124-135. Available from: 10.1016/j.biopsych.2016.03.2107
Heil P, Matysiak A, Neubauer H. 2017. A probabilistic Poisson-based model accounts for an extensive set of absolute auditory threshold measurements. Hearing Research. 353:135-161. Available from: 10.1016/j.heares.2017.06.011
Riemann S, Helbing C, Angenstein F. 2017. From unspecific to adjusted, how the BOLD response in the rat hippocampus develops during consecutive stimulations. Journal of Cerebral Blood Flow and Metabolism. 37(2):590-604. Available from: 10.1177/0271678X16634715
Helbing C, Brocka M, Scherf T, Lippert MT, Angenstein F. 2016. The role of the mesolimbic dopamine system in the formation of blood-oxygen-level dependent responses in the medial prefrontal/anterior cingulate cortex during high-frequency stimulation of the rat perforant pathway. Journal of Cerebral Blood Flow and Metabolism. 36(12):2177-2193. Available from: 10.1177/0271678X15615535
Sengupta A, Kaule FR, Guntupalli JS, Hoffmann MB, Häusler C, Stadler J, Hanke M. 2016. A studyforrest extension, retinotopic mapping and localization of higher visual areas. Scientific data. 3. Available from: 10.1038/sdata.2016.93
Hanke M, Adelhöfer N, Kottke D, Iacovella V, Sengupta A, Kaule FR, Nigbur R, Waite AQ, Baumgartner F, Stadler J. 2016. A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation. Scientific data. 3. Available from: 10.1038/sdata.2016.92
Deike S, Deliano M, Brechmann A. 2016. Probing neural mechanisms underlying auditory stream segregation in humans by transcranial direct current stimulation (tDCS). Neuropsychologia. 91:262-267. Available from: 10.1016/j.neuropsychologia.2016.08.017
Westö J, May PJC. 2016. Capturing contextual effects in spectro-temporal receptive fields. Hearing Research. 339:195-210. Available from: 10.1016/j.heares.2016.07.012
Huang Y, Matysiak A, Heil P, König R, Brosch M. 2016. Persistent neural activity in auditory cortex is related to auditory working memory in humans and nonhuman primates. eLife. 5(JULY). Available from: 10.7554/eLife.15441
Deliano M, Tabelow K, König R, Polzehl J. 2016. Improving accuracy and temporal resolution of learning curve estimation for within- and across-session analysis. PLoS ONE. 11(6). Available from: 10.1371/journal.pone.0157355
Alho J, Green BM, May PJC, Sams M, Tiitinen H, Rauschecker JP, Jääskeläinen IP. 2016. Early-latency categorical speech sound representations in the left inferior frontal gyrus. NeuroImage. 129:214-223. Available from: 10.1016/j.neuroimage.2016.01.016
Spilker C, Nullmeier S, Grochowska KM, Schumacher A, Butnaru I, Macharadze T, Gomes GM, YuanXiang P, Bayraktar G, Rodenstein C, Geiseler C, Kolodziej A, Lopez-Rojas J, Montag D, Angenstein F, Bär J, D’Hanis W, Roskoden T, Mikhaylova M, Budinger E, Ohl FW, Stork O, Zenclussen AC, Karpova A, Schwegler H, Kreutz MR. 2016. A Jacob/Nsmf Gene Knockout Results in Hippocampal Dysplasia and Impaired BDNF Signaling in Dendritogenesis. PLoS Genetics. 12(3). Available from: 10.1371/journal.pgen.1005907
Angenstein N, Stadler J, Brechmann A. 2016. Auditory intensity processing: Effect of MRI background noise. Hearing Research. 333:87-92. Available from: 10.1016/j.heares.2016.01.007
Westö J, May P, Tiitinen H. 2016. Memory stacking in hierarchical networks. Neural Computation. 28(2):327-353. Available from: 10.1162/NECO_a_00803
Hakonen M, May P, Alho J, Alku P, Jokinen E, Jääskeläinen IP, Tiitinen H. 2016. Previous exposure to intact speech increases intelligibility of its digitally degraded counterpart as a function of stimulus complexity. NeuroImage. 125:131-143. Available from: 10.1016/j.neuroimage.2015.10.029
Kohrs C, Angenstein N, Brechmann A. 2016. Delays in human-computer interaction and their effects on brain activity. PLoS ONE. 11(1). Available from: 10.1371/journal.pone.0146250
Rösner D, Hazer-Rau D, Kohrs C, Bauer T, Günther S, Hoffmann H, Zhang L, Brechmann A. 2016. Is there a biological basis for success in human companion interaction? Results from a transsituational study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. pp. 77-88. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Available from: 10.1007/978-3-319-39510-4_8
Jarvers C, Brosch T, Brechmann A, Woldeit ML, Schulz AL, Ohl FW, Lommerzheim M, Neumann H. 2016. Reversal learning in humans and gerbils: Dynamic control network facilitates learning. Frontiers in Neuroscience. 10(NOV). Available from: 10.3389/fnins.2016.00535
Krippl M, Karim AA, Brechmann A. 2015. Neuronal correlates of voluntary facial movements. Frontiers in Human Neuroscience. 9(OCTOBER). Available from: 10.3389/fnhum.2015.00598
Angenstein N, Brechmann A. 2015. Auditory intensity processing: Categorization versus comparison. NeuroImage. 119:362-370. Available from: 10.1016/j.neuroimage.2015.06.074
Mallow J, Bernarding J, Luchtmann M, Bethmann A, Brechmann A. 2015. Superior memorizers employ different neural networks for encoding and recall. Frontiers in Systems Neuroscience. 9(September). Available from: 10.3389/fnsys.2015.00128
Herrmann T, Mallow J, Plaumann M, Luchtmann M, Stadler J, Mylius J, Brosch M, Bernarding J. 2015. The travelling-wave Primate System: A new solution for magnetic resonance imaging of macaque monkeys at 7 tesla ultra-high field. PLoS ONE. 10(6). Available from: 10.1371/journal.pone.0129371
Scherf T, Angenstein F. 2015. Postsynaptic and spiking activity of pyramidal cells, the principal neurons in the rat hippocampal CA1 region, does not control the resultant BOLD response: A combined electrophysiologic and fMRI approach. Journal of Cerebral Blood Flow and Metabolism. 35:565-575. Available from: 10.1038/jcbfm.2014.252
Budinger E, Brechmann A, Brosch M, Heil P, König R, Ohl FW, Scheich H. 2015. Auditory cortex 2014 - towards a synthesis of human and animal research. European Journal of Neuroscience. 41(5):515-517. Available from: 10.1111/ejn.12832
König R, Matysiak A, Kordecki W, Sieluzycki C, Zacharias N, Heil P. 2015. Averaging auditory evoked magnetoencephalographic and electroencephalographic responses: A critical discussion. European Journal of Neuroscience. 41(5):631-640. Available from: 10.1111/ejn.12833
Specht K, Baumgartner FJ, Stadler J, Hugdahl K, Pollmann S. 2015. Functional asymmetry and effective connectivity of the auditory system during speech perception is modulated by the place of articulation of the consonant – A 7 T fMRI study. In LATERALIZATION AND COGNITIVE SYSTEMS. Frontiers Media S. A. pp. 180-189. Available from: 10.3389/978-2-88919-411-7
Baecke S, Lützkendorf R, Mallow J, Luchtmann M, Tempelmann C, Stadler J, Bernarding J. 2015. A proof-of-principle study of multi-site real-time functional imaging at 3T and 7T: Implementation and validation. Scientific Reports. 5:8413. Available from: 10.1038/srep08413
Wolff S, Brechmann A. 2015. Carrot and stick 2.0: The benefits of natural and motivational prosody in computer-assisted learning. Computers in Human Behavior. 43:76-84. Available from: 10.1016/j.chb.2014.10.015
Deike S, Heil P, Böckmann-Barthel M, Brechmann A. 2015. Decision making and ambiguity in auditory stream segregation. Frontiers in Neuroscience. 9(JUL). Available from: 10.3389/fnins.2015.00266
Hanke M, Dinga R, Häusler C, Guntupalli JS, Casey M, Kaule FR, Stadler J. 2015. High-resolution 7-Tesla fMRI data on the perception of musical genres – an extension to the studyforrest dataset. F1000Research. Available from: 10.12688/f1000research.6679.1
Kohrs C, Hrabal D, Angenstein N, Brechmann A. 2014. Delayed system response times affect immediate physiology and the dynamics of subsequent button press behavior. Psychophysiology. 51(11):1178-1184. Available from: 10.1111/psyp.12253
Buntkowsky G, Gutmann T, Petrova MV, Ivanov KL, Bommerich U, Plaumann M, Bernarding J. 2014. Dipolar induced Para-Hydrogen-Induced Polarization. Solid State Nuclear Magnetic Resonance. 63:20-29. Available from: 10.1016/j.ssnmr.2014.07.002
Kolodziej A, Lippert M, Angenstein F, Neubert J, Pethe A, Grosser OS, Amthauer H, Schroeder UH, Reymann KG, Scheich H, Ohl FW, Goldschmidt J. 2014. SPECT-imaging of activity-dependent changes in regional cerebral blood flow induced by electrical and optogenetic self-stimulation in mice. NeuroImage. 103:171-180. Available from: 10.1016/j.neuroimage.2014.09.023
Szabó B, Török J, Somfai E, Wegner S, Stannarius R, Böse A, Rose G, Angenstein F, Börzsönyi T. 2014. Evolution of shear zones in granular materials. Physical review. E. 90(3). Available from: 10.1103/PhysRevE.90.032205
Kanowski M, Voges J, Buentjen L, Stadler J, Heinze HJ, Tempelmann C. 2014. Direct visualization of anatomic subfields within the superior aspect of the human lateral thalamus by MRI at 7T. American Journal of Neuroradiology. 35(9):1721-1727. Available from: 10.3174/ajnr.A3951
Bethmann A, Brechmann A. 2014. On the definition and interpretation of voice selective activation in the temporal cortex. Frontiers in Human Neuroscience. 8(JULY). Available from: 10.3389/fnhum.2014.00499
SieluZycki C, Kordowski P. 2014. Maximum-likelihood estimation of channel-dependent trial-to-trial variability of auditory evoked brain responses in MEG. BioMedical Engineering Online. 13(1). Available from: 10.1186/1475-925X-13-75
Siegmund J, Kästner C, Apel S, Parnin C, Bethmann A, Leich T, Saake G, Brechmann A. 2014. Understanding understanding source code with functional magnetic resonance imaging. Proceedings - International Conference on Software Engineering. (CONFCODENUMBER):378-389. Available from: 10.1145/2568225.2568252
Hanke M, Baumgartner FJ, Ibe P, Kaule FR, Pollmann S, Speck O, Zinke W, Stadler J. 2014. A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie. Scientific data. 1. Available from: 10.1038/sdata.2014.3
Braun J, Guo J, Lützkendorf R, Stadler J, Papazoglou S, Hirsch S, Sack I, Bernarding J. 2014. High-resolution mechanical imaging of the human brain by three-dimensional multifrequency magnetic resonance elastography at 7T. NeuroImage. 90:308-314. Available from: 10.1016/j.neuroimage.2013.12.032
Abdulhussain S, Breitzke H, Ratajczyk T, Grünberg A, Srour M, Arnaut D, Weidler H, Kunz U, Kleebe HJ, Bommerich U, Bernarding J, Gutmann T, Buntkowsky G. 2014. Synthesis, solid-state NMR characterization, and application for hydrogenation reactions of a novel wilkinson's-type immobilized catalyst. Chemistry - A European Journal. 20(4):1159-1166. Available from: 10.1002/chem.201303020
Specht K, Baumgartner F, Stadler J, Hugdahl K, Pollmann S. 2014. Functional asymmetry and effective connectivity of the auditory system during speech perception is modulated by the place of articulation of the consonant- A 7T fMRI study. Frontiers in Psychology. 5:549. Available from: 10.3389/fpsyg.2014.00549
Toennies KD, Rak M, Engel K. 2014. Deformable part models for object detection in medical images. BioMedical Engineering Online. 13. Available from: 10.1186/1475-925X-13-S1-S1
Dolležal LV, Brechmann A, Klump GM, Deike S. 2014. Evaluating auditory stream segregation of SAM tone sequences by subjective and objective psychoacoustical tasks, and brain activity. Frontiers in Neuroscience. (8 JUN). Available from: 10.3389/fnins.2014.00119
Kaule FR, Wolynski B, Gottlob I, Stadler J, Speck O, Kanowski M, Meltendorf S, Behrens-Baumann W, Hoffmann MB. 2014. Impact of chiasma opticum malformations on the organization of the human ventral visual cortex. Human Brain Mapping. 35(10):5093-5105. Available from: 10.1002/hbm.22534
Wasserthal C, Brechmann A, Stadler J, Fischl B, Engel K. 2014. Localizing the human primary auditory cortex in vivo using structural MRI. NeuroImage. 93(P1):237-251. Available from: 10.1016/j.neuroimage.2013.07.046
Rauschenberg J, Nagel AM, Ladd SC, Theysohn JM, Ladd ME, Möller HE, Trampel R, Turner R, Pohmann R, Scheffler K, Brechmann A, Stadler J, Felder J, Shah NJ, Semmler W. 2014. Multicenter study of subjective acceptance during magnetic resonance imaging at 7 and 9.4 T. Investigative Radiology. 49(5):249-259. Available from: 10.1097/RLI.0000000000000035
Lego D, Plaumann M, Trantzschel T, Bargon J, Scheich H, Buntkowsky G, Gutmann T, Sauer G, Bernarding J, Bommerich U. 2014. Parahydrogen-induced polarization of carboxylic acids: A pilot study of valproic acid and related structures. NMR in Biomedicine. 27(7):810-816. Available from: 10.1002/nbm.3123
Deike S, Denham SL, Sussman E. 2014. Probing auditory scene analysis. Frontiers in Neuroscience. 8(SEP). Available from: 10.3389/fnins.2014.00293
Angenstein F. 2014. The actual intrinsic excitability of granular cells determines the ruling neurovascular coupling mechanism in the rat dentate gyrus. Journal of Neuroscience. 34(25):8529-8545. Available from: 10.1523/JNEUROSCI.0472-14.2014
Böckmann-Barthel M, Deike S, Brechmann A, Ziese M, Verhey JL. 2014. Time course of auditory streaming: Do CI users differ from normal-hearing listeners?. Frontiers in Psychology. 5(JUL). Available from: 10.3389/fpsyg.2014.00775
Hunger M, Budinger E, Zhong K, Angenstein F. 2014. Visualization of acute focal lesions in rats with experimental autoimmune encephalomyelitis by magnetic nanoparticles, comparing different MRI sequences including phase imaging. Journal of Magnetic Resonance Imaging. 39(5):1126-1135. Available from: 10.1002/jmri.24280
Weis T, Puschmann S, Brechmann A, Thiel CM. 2013. Positive and negative reinforcement activate human auditory cortex. Frontiers in Human Neuroscience. 7(DEC). Available from: 10.3389/fnhum.2013.00842
Szycik GR, Stadler J, Brechmann A, Münte TF. 2013. Preattentive mechanisms of change detection in early auditory cortex: A 7Tesla fMRI study. Neuroscience. 253:100-109. Available from: 10.1016/j.neuroscience.2013.08.039
Angenstein N, Brechmann A. 2013. Division of labor between left and right human auditory cortices during the processing of intensity and duration. NeuroImage. 83:1-11. Available from: 10.1016/j.neuroimage.2013.06.071
Puschmann S, Brechmann A, Thiel CM. 2013. Learning-dependent plasticity in human auditory cortex during appetitive operant conditioning. Human Brain Mapping. 34(11):2841-2851. Available from: 10.1002/hbm.22107
Wilisch-Neumann A, Kliese N, Pachow D, Schneider T, Warnke JP, Braunsdorf WEK, Bohmer FD, Hass P, Pasemann D, Helbing C, Kirches E, Mawrin C. 2013. The integrin inhibitor cilengitide affects meningioma cell motility and invasion. Clinical Cancer Research. 19(19):5402-5412. Available from: 10.1158/1078-0432.CCR-12-0299
Weis T, Brechmann A, Puschmann S, Thiel CM. 2013. Feedback that confirms reward expectation triggers auditory cortex activity. Journal of Neurophysiology. 110(8):1860-1868. Available from: 10.1152/jn.00128.2013
Yang S, Yang Z, Fischer K, Zhong K, Stadler J, Godenschweger F, Steiner J, Heinze HJ, Bernstein HG, Bogerts B, Mawrin C, Reutens DC, Speck O, Walter M. 2013. Integration of ultra-high field MRI and histology for connectome based research of brain disorders. Frontiers in Neuroanatomy. 7(SEP). Available from: 10.3389/fnana.2013.00031
Kliese N, Gobrecht P, Pachow D, Andrae N, Wilisch-Neumann A, Kirches E, Riek-Burchardt M, Angenstein F, Reifenberger G, Riemenschneider M, Meese E, Panayotova-Dimitrova D, Gutmann DH, Mawrin C. 2013. MiRNA-145 is downregulated in atypical and anaplastic meningiomas and negatively regulates motility and proliferation of meningioma cells. Oncogene. 32(39):4712-4720. Available from: 10.1038/onc.2012.468
Selezneva E, Deike S, Knyazeva S, Scheich H, Brechmann A, Brosch M. 2013. Rhythm sensitivity in macaque monkeys. Frontiers in Systems Neuroscience. 7(SEP). Available from: 10.3389/fnsys.2013.00049
Tacikowski P, Brechmann A, Nowicka A. 2013. Cross-modal pattern of brain activations associated with the processing of self- and significant other's name. Human Brain Mapping. 34(9):2069-2077. Available from: 10.1002/hbm.22048
Krautwald K, Min HK, Lee KH, Angenstein F. 2013. Synchronized electrical stimulation of the rat medial forebrain bundle and perforant pathway generates an additive BOLD response in the nucleus accumbens and prefrontal cortex. NeuroImage. 77:14-25. Available from: 10.1016/j.neuroimage.2013.03.046
Harris JA, Ku S, Woldorff MG. 2013. Neural processing stages during object-substitution masking and their relationship to perceptual awareness. Neuropsychologia. 51(10):1907-1917. Available from: 10.1016/j.neuropsychologia.2013.05.023
Mallow J, Herrmann T, Kim KN, Stadler J, Mylius J, Brosch M, Bernarding J. 2013. Ultra-high field MRI for primate imaging using the travelling-wave concept. Magnetic Resonance Materials in Physics, Biology, and Medicine. 26(4):389-400. Available from: 10.1007/s10334-012-0358-z
Angenstein F, Krautwald K, Wetzel W, Scheich H. 2013. Perforant pathway stimulation as a conditioned stimulus for active avoidance learning triggers BOLD responses in various target regions of the hippocampus: A combined fMRI and electrophysiological study. NeuroImage. 75:213-227. Available from: 10.1016/j.neuroimage.2013.03.007
Matysiak A, Kordecki W, Sieluzycki C, Zacharias N, Heil P, König R. 2013. Variance stabilization for computing and comparing grand mean waveforms in MEG and EEG. Psychophysiology. 50(7):627-639. Available from: 10.1111/psyp.12047
Plaumann M, Bommerich U, Trantzschel T, Lego D, Dillenberger S, Sauer G, Bargon J, Buntkowsky G, Bernarding J. 2013. Parahydrogen-induced polarization transfer to 19F in perfluorocarbons for 19F NMR spectroscopy and MRI. Chemistry - A European Journal. 19(20):6334-6339. Available from: 10.1002/chem.201203455
Donohue SE, Appelbaum LG, Park CJ, Roberts KC, Woldorff MG. 2013. Cross-Modal Stimulus Conflict: The Behavioral Effects of Stimulus Input Timing in a Visual-Auditory Stroop Task. PLoS ONE. 8(4). Available from: 10.1371/journal.pone.0062802
Hrabal D, Kohrs C, Brechmann A, Tan JW, Rukavina S, Traue HC. 2013. Physiological effects of delayed system response time on skin conductance. In Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction - First IAPR TC3 Workshop, MPRSS 2012, Revised Selected Papers. Springer Nature. pp. 52-62. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Available from: 10.1007/978-3-642-37081-6_7
Pachow D, Andrae N, Kliese N, Angenstein F, Stork O, Wilisch-Neumann A, Kirches E, Mawrin C. 2013. MTORC1 inhibitors suppress meningioma growth in mouse models. Clinical Cancer Research. 19(5):1180-1189. Available from: 10.1158/1078-0432.CCR-12-1904
Helbing C, Werner G, Angenstein F. 2013. Variations in the temporal pattern of perforant pathway stimulation control the activity in the mesolimbic pathway. NeuroImage. 64(1):43-60. Available from: 10.1016/j.neuroimage.2012.09.001
Trantzschel T, Plaumann M, Bernarding J, Lego D, Ratajczyk T, Dillenberger S, Buntkowsky G, Bargon J, Bommerich U. 2013. Application of Parahydrogen-Induced Polarization to Unprotected Dehydroamino Carboxylic Acids. Applied Magnetic Resonance. 44(1-2):267-278. Available from: 10.1007/s00723-012-0391-0
Siegmund J, Kástner C, Apel S, Brechmann A, Saake G. 2013. Experience from measuring program comprehension. Toward a general framework. In Software Engineering 2013 - Fachtagung des GI-Fachbereichs Softwaretechnik, Proceedings. Gesellschaft fur Informatik (GI). pp. 239-257.
Angenstein N, Brechmann A. 2013. Left auditory cortex is involved in pairwise comparisons of the direction of frequency modulated tones. Frontiers in Neuroscience. (7 JUL). Available from: 10.3389/fnins.2013.00115
Lützkendorf R, Hertel F, Heidemann R, Thiel A, Luchtmann M, Plaumann M, Stadler J, Baecke S, Bernarding J. 2013. Non-invasive high-resolution tracking of human neuronal pathways: Diffusion tensor imaging at 7T with 1.2 mm isotropic voxel size. In Progress in Biomedical Optics and Imaging. SPIE. Available from: 10.1117/12.2006764
Weis T, Puschmann S, Brechmann A, Thiel CM. 2012. Effects of L-dopa during Auditory Instrumental Learning in Humans. PLoS ONE. 7(12). Available from: 10.1371/journal.pone.0052504
Bethmann A, Scheich H, Brechmann A. 2012. The Temporal Lobes Differentiate between the Voices of Famous and Unknown People: An Event-Related fMRI Study on Speaker Recognition. PLoS ONE. 7(10). Available from: 10.1371/journal.pone.0047626
Kohrs C, Angenstein N, Scheich H, Brechmann A. 2012. Human striatum is differentially activated by delayed, omitted, and immediate registering feedback. Frontiers in Human Neuroscience. (AUGUST). Available from: 10.3389/fnhum.2012.00243
Hoffmann MB, Kaule FR, Levin N, Masuda Y, Kumar A, Gottlob I, Horiguchi H, Dougherty RF, Stadler J, Wolynski B, Speck O, Kanowski M, Liao YJ, Wandell BA, Dumoulin SO. 2012. Plasticity and Stability of the Visual System in Human Achiasma. Neuron. 75(3):393-401. Available from: 10.1016/j.neuron.2012.05.026
Angenstein N, Scheich H, Brechmann A. 2012. Interaction between bottom-up and top-down effects during the processing of pitch intervals in sequences of spoken and sung syllables. NeuroImage. 61(3):715-722. Available from: 10.1016/j.neuroimage.2012.03.086
Zacharias N, König R, Heil P. 2012. Stimulation-history effects on the M100 revealed by its differential dependence on the stimulus onset interval. Psychophysiology. 49(7):909-919. Available from: 10.1111/j.1469-8986.2012.01370.x
Lovell J, Brosch M, Budinger E, Goldschmidt J, Scheich H, Tschorn S, Wendt B, Zuschratter W. 2012. Scanning and Transmission Electron Microscope Examination of Cochlea Hair and Pillar Cells from the Ear of the Mongolian Gerbil (Meriones unguiculatus). Anatomy and Physiology. 2(3).
Ratajczyk T, Gutmann T, Dillenberger S, Abdulhussaein S, Frydel J, Breitzke H, Bommerich U, Trantzschel T, Bernarding J, Magusin PCMM, Buntkowsky G. 2012. Time domain para hydrogen induced polarization. Solid State Nuclear Magnetic Resonance. 43-44:14-21. Available from: 10.1016/j.ssnmr.2012.02.002
Trantzschel T, Bernarding J, Plaumann M, Lego D, Gutmann T, Ratajczyk T, Dillenberger S, Buntkowsky G, Bargon J, Bommerich U. 2012. Parahydrogen induced polarization in face of keto-enol tautomerism: Proof of concept with hyperpolarized ethanol. Physical Chemistry Chemical Physics. 14(16):5601-5604. Available from: 10.1039/c2cp40272f
Szycik GR, Stadler J, Tempelmann C, Münte TF. 2012. Examining the McGurk illusion using high-field 7 tesla functional MRI. Frontiers in Human Neuroscience. (APRIL 2012). Available from: 10.3389/fnhum.2012.00095
Haroon F, Händel U, Angenstein F, Goldschmidt J, Kreutzmann P, Lison H, Fischer KD, Scheich H, Wetzel W, Schlüter D, Budinger E. 2012. Toxoplasma gondii actively inhibits neuronal function in chronically infected mice. PLoS ONE. 7(4). Available from: 10.1371/journal.pone.0035516
Zygierewicz J, Sieluzycki C, Zacharias N, Suffczyński P, Kordowski P, Scheich H, Durka PJ, König R. 2012. Estimation of the spatiotemporal structure of event-related desynchronization and synchronization in magnetoencephalography. Journal of Neuroscience Methods. 205(1):148-158. Available from: 10.1016/j.jneumeth.2011.12.013
Lutti A, Stadler J, Josephs O, Windischberger C, Speck O, Bernarding J, Hutton C, Weiskopf N. 2012. Robust and fast whole brain mapping of the RF transmit field B1 at 7T. PLoS ONE. 7(3). Available from: 10.1371/journal.pone.0032379
Metzger CD, Eckert U, Steiner J, Sartorius A, Buchmann JE, Stadler J, Tempelmann C, Speck O, Bogerts B, Abler B, Walter M. 2012. High field fMRI reveals thalamocortical integration of segregated cognitive and emotional processing in mediodorsal and intralaminar thalamic nuclei. In BASAL GANGLIA CIRCUITS. Frontiers Media S. A. pp. 197-213. Available from: 10.3389/978-2-88919-019-5
Tiede R, Krautwald K, Fincke A, Angenstein F. 2012. NMDA-dependent mechanisms only affect the BOLD response in the rat dentate gyrus by modifying local signal processing. Journal of Cerebral Blood Flow and Metabolism. 32(3):570-584. Available from: 10.1038/jcbfm.2011.182
Krautwald K, Angenstein F. 2012. Low frequency stimulation of the perforant pathway generates anesthesia-specific variations in neural activity and BOLD responses in the rat dentate gyrus. Journal of Cerebral Blood Flow and Metabolism. 32(2):291-305. Available from: 10.1038/jcbfm.2011.126
Schreiber S, Bueche CZ, Garz C, Kropf S, Angenstein F, Goldschmidt J, Neumann J, Heinze HJ, Goertler M, Reymann KG, Braun H. 2012. The pathologic cascade of cerebrovascular lesions in SHRSP: Is erythrocyte accumulation an early phase. Journal of Cerebral Blood Flow and Metabolism. 32(2):278-290. Available from: 10.1038/jcbfm.2011.122
Esparza J, Scherer S, Brechmann A, Schwenker F. 2012. Automatic emotion classification vs. human perception: Comparing machine performance to the human benchmark. In 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012. pp. 1253-1258. Available from: 10.1109/ISSPA.2012.6310484
You W, Achard S, Stadler J, Brückner B, U. S. 2012. Fractal analysis of resting state functional connectivity of the brain. In Proceedings of the International Joint Conference on Neural Networks. Available from: 10.1109/IJCNN.2012.6252657
Wolff S, Brechmann A. 2012. MOTI: A motivational prosody corpus for speech-based tutorial systems. In Proceedings of 10th ITG Symposium on Speech Communication. Institute of Electrical and Electronics Engineers Inc.
Deike S, Heil P, Böckmann-Barthel M, Brechmann A. 2012. The build-up of auditory stream segregation: A different perspective. Frontiers in Psychology. 3(OCT). Available from: 10.3389/fpsyg.2012.00461
Siegmund J, Brechmann A, Apel S, Kästner C, Liebig J, Leich T, Saake G. 2012. Toward measuring program comprehension with functional magnetic resonance imaging. In AMC SIGSOFT. Available from: 10.1145/2393596.2393624
Koch D, Spiwoks-Becker I, Sabanov V, Sinning A, Dugladze T, Stellmacher A, Ahuja R, Grimm J, Schüler S, Müller A, Angenstein F, Ahmed T, Diesler A, Moser M, Tom Dieck S, Spessert R, Boeckers TM, Fässler R, Hübner CA, Balschun D, Gloveli T, Kessels MM, Qualmann B. 2011. Proper synaptic vesicle formation and neuronal network activity critically rely on syndapin i. EMBO Journal. 30(24):4955-4969. Available from: 10.1038/emboj.2011.339
Kipiński L, König R, Sieluzycki C, Kordecki W. 2011. Application of modern tests for stationarity to single-trial MEG: Data transferring powerful statistical tools from econometrics to neuroscience. Biological Cybernetics. 105(3-4):183-195. Available from: 10.1007/s00422-011-0456-4
Heyden A, Ionescu MCS, Romorini S, Kracht B, Ghiglieri V, Calabresi P, Seidenbecher C, Angenstein F, Gundelfinger ED. 2011. Hippocampal enlargement in Bassoon-mutant mice is associated with enhanced neurogenesis, reduced apoptosis, and abnormal BDNF levels. Cell and Tissue Research. 346(1):11-26. Available from: 10.1007/s00441-011-1233-3
Börzsönyi T, Unger T, Szabó B, Wegner S, Angenstein F, Stannarius R. 2011. Reflection and exclusion of shear zones in inhomogeneous granular materials. Soft Matter. 7(18):8330-8336. Available from: 10.1039/c1sm05762f
Gutmann T, Ratajczyk T, Dillenberger S, Xu Y, Grünberg A, Breitzke H, Bommerich U, Trantzschel T, Bernarding J, Buntkowsky G. 2011. New investigations of technical rhodium and iridium catalysts in homogeneous phase employing para-hydrogen induced polarization. Solid State Nuclear Magnetic Resonance. 40(2):88-90. Available from: 10.1016/j.ssnmr.2011.08.002
Engel K, Toennies KD, Brechmann A. 2011. Part-based localisation and segmentation of landmark-related auditory cortical regions. Pattern Recognition. 44(9):2017-2033. Available from: 10.1016/j.patcog.2010.09.004
Zacharias N, Sieluzycki C, Kordecki W, König R, Heil P. 2011. The M100 component of evoked magnetic fields differs by scaling factors: Implications for signal averaging. Psychophysiology. 48(8):1069-1082. Available from: 10.1111/j.1469-8986.2011.01183.x
Jörn M, Sieluzycki C, Matysiak MA, Zygierewicz J, Scheich H, Durka PJ, König R. 2011. Single-trial reconstruction of auditory evoked magnetic fields by means of Template Matching Pursuit. Journal of Neuroscience Methods. 199(1):119-128. Available from: 10.1016/j.jneumeth.2011.04.019
Hutton C, Josephs O, Stadler J, Featherstone E, Reid A, Speck O, Bernarding J, Weiskopf N. 2011. The impact of physiological noise correction on fMRI at 7T. NeuroImage. 57(1):101-112. Available from: 10.1016/j.neuroimage.2011.04.018
Nowicka A, Marchewka A, Jednoróg K, Tacikowski P, Brechmann A. 2011. Forgetting of emotional information is hard: An fMRI study of directed forgetting. Cerebral Cortex. 21(3):539-549. Available from: 10.1093/cercor/bhq117
Tacikowski P, Brechmann A, Marchewka A, Jednoróg K, Dobrowolny M, Nowicka A. 2011. Is it about the self or the significance? an fMRI study of self-name recognition. Social Neuroscience. 6(1):98-107. Available from: 10.1080/17470919.2010.490665
Brechmann A, Brosch M, Budinger E, Heil P, König R, Ohl F, Scheich H. 2011. Auditory cortex - Current concepts in human and animal research. Hearing Research. 271(1-2):1-2. Available from: 10.1016/j.heares.2010.10.016
Scheich H, Brechmann A, Brosch M, Budinger E, Ohl FW, Selezneva E, Stark H, Tischmeyer W, Wetzel W. 2011. Behavioral semantics of learning and crossmodal processing in auditory cortex: The semantic processor concept. Hearing Research. 271(1-2):3-15. Available from: 10.1016/j.heares.2010.10.006
Wolff S, Kohrs C, Scheich H, Brechmann A. 2011. Auswirkungen von prosodisch-motivationalen und verzögerten Rückmeldungen auf die Lernleistung und Hirnaktivität in einer Mensch-Computer Interaktion. Heiß H-U, Pepper P, Schlingloff H, Schneider J, editors. In Informatik 2011: Informatik schafft Communities: Beiträge der 41. Jahrestagung der Gesellschaft für Informatik e.V. (GI). Gesellschaft für Informatik e.V. (GI). pp. 192.
Metzger CD, Eckert U, Steiner J, Sartorius A, Buchmann JE, Stadler J, Tempelmann C, Speck O, Bogerts B, Abler B, Walter M. 2010. High field fMRI reveals thalamocortical integration of segregated cognitive and emotional processing in mediodorsal and intralaminar thalamic nuclei. Frontiers in Neuroanatomy. (NOV). Available from: 10.3389/fnana.2010.00138
Gutmann T, Ratajczyk T, Xu Y, Breitzke H, Grünberg A, Dillenberger S, Bommerich U, Trantzschel T, Bernarding J, Buntkowsky G. 2010. Understanding the leaching properties of heterogenized catalysts: A combined solid-state and PHIP NMR study. Solid State Nuclear Magnetic Resonance. 38(4):90-96. Available from: 10.1016/j.ssnmr.2011.03.001
Bommerich U, Trantzschel T, Mulla-Osman S, Buntkowsky G, Bargon J, Bernarding J. 2010. Hyperpolarized 19F-MRI: Parahydrogen-induced polarization and field variation enable 19F-MRI at low spin density. Physical Chemistry Chemical Physics. 12(35):10309-10312. Available from: 10.1039/c001265c
Hamhaber U, Klatt D, Papazoglou S, Hollmann M, Stadler J, Sack I, Bernarding J, Braun J. 2010. In vivo magnetic resonance elastography of human brain at 7 T and 1.5 T. Journal of Magnetic Resonance Imaging. 32(3):577-583. Available from: 10.1002/jmri.22294
Hammer R, Brechmann A, Ohl F, Weinshall D, Hochstein S. 2010. Differential category learning processes: The neural basis of comparison-based learning and induction. NeuroImage. 52(2):699-709. Available from: 10.1016/j.neuroimage.2010.03.080
Deike S, Scheich H, Brechmann A. 2010. Active stream segregation specifically involves the left human auditory cortex. Hearing Research. 265(1-2):30-37. Available from: 10.1016/j.heares.2010.03.005
Angenstein F, Krautwald K, Scheich H. 2010. The current functional state of local neuronal circuits controls the magnitude of a BOLD response to incoming stimuli. NeuroImage. 50(4):1364-1375. Available from: 10.1016/j.neuroimage.2010.01.070
Hammer N, Steinke H, Böhme J, Stadler J, Josten C, Spanel-Borowski K. 2010. Description of the iliolumbar ligament for computer-assisted reconstruction. Annals of Anatomy. 192(3):162-167. Available from: 10.1016/j.aanat.2010.02.003
Steinke H, Hammer N, Slowik V, Stadler J, Josten C, Böhme J, Spanel-Borowski K. 2010. Novel insights into the sacroiliac joint ligaments. Spine. 35(3):257-263. Available from: 10.1097/BRS.0b013e3181b7c675
Tschacher W, Schildt M, Sander K. 2010. Brain connectivity in listening to affective stimuli: A functional magnetic resonance imaging (fMRI) study and implications for psychotherapy. Psychotherapy Research. 20(5):576-588. Available from: 10.1080/10503307.2010.493538
Zacharias N, Sieluzycki C, Matysiak MA, König R, Heil P. 2010. Relevant observations for averaging stimulus evoked magnetic fields across trials and across subjects. In 17th International Conference on Biomagnetism Advances in Biomagnetism. pp. 179-182. Available from: 10.1007/978-3-642-12197-5_39
Herrmann CS, Brechmann A, Scheich H. 2010. Simultaneous EEG and fMRI of the human auditory system. In EEG - fMRI: Physiological Basis, Technique, and Applications. Springer. pp. 385-399. Available from: 10.1007/978-3-540-87919-0_19
- Teaching & Internships
We regularly give lectures and seminars for students of the study program "Integrative Neuroscience" and within the specialization course “Learning Systems” at the Faculty of Informatics of the Otto von Guericke University Magdeburg.
Furthermore, we supervise internships as well as bachelor, master, and doctoral theses. If you are interested, please contact us!
- Combinatorial NeuroImaging Core Facility (CNI)
The DFG funded Combinatorial NeuroImaging (CNI) Core Facility at the Leibniz Institute for Neurobiology in Magdeburg combines an outstanding range of imaging techniques for non-invasive human imaging, translational animal imaging and high resolution light and electron microscopy. As a modern research infrastructure and dialogue platform we aim at supporting our local and external users in their scientific plans and projects with high efficiency and expertise.
In our special lab, we provide our expertise in the field of human imaging by measurements on the 3-Tesla and 7-Tesla magnetic resonance tomograph as well as a magnetoencephalograph. For ethical reasons, neuroscientific research on humans is essentially limited to non-invasive methods. However, continuous innovations in imaging technology and image analysis are enabling more and more detailed insights into the human brain.