LIN Personal

Dr. André Brechmann

Leiter

Combinatorial NeuroImaging

Leibniz-Institut für Neurobiologie
Brenneckestr. 6
39118 Magdeburg
Deutschland
Telefon: +49 391 6263 92161
E-Mail: Andre.Brechmann@lin-magdeburg.de
ORCID: 0000-0003-3903-0840

  • Publikationen

    Publikationen

    Jamaludeen N, Unnikrishnan V, Brechmann A, Spiliopoulou M. 2022. Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data. Michalowski M, Abidi SSR, Abidi S, editors. In Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. pp. 200-209. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-031-09342-5_19

    Bellmann P, Kessler V, Brechmann A, Schwenker F. 2023. Button Press Dynamics: Beyond Binary Information in Button Press Decisions. Basu S, Kole DK, Maji AK, Plewczynski D, Bhattacharjee D, editors. In Proceedings of International Conference on Frontiers in Computing and Systems, COMSYS 2021. Springer Science and Business Media Deutschland GmbH. pp. 469-477. (Lecture Notes in Networks and Systems). https://doi.org/10.1007/978-981-19-0105-8_46

    Bellmann P, Kessler V, Brechmann A, Schwenker F. 2023. Dynamic Time Warping-Based Detection of Multi-clicks in Button Press Dynamics Data. Basu S, Kole DK, Maji AK, Plewczynski D, Bhattacharjee D, editors. In Proceedings of International Conference on Frontiers in Computing and Systems, COMSYS 2021. Springer Science and Business Media Deutschland GmbH. pp. 479-487. (Lecture Notes in Networks and Systems). https://doi.org/10.1007/978-981-19-0105-8_47

    Tegelbeckers J, Brechmann A, Breitling-Ziegler C, Bonath B, Flechtner H-H, Krauel K. 2022. Neural Mechanisms Underlying the Effects of Novel Sounds on Task Performance in Children With and Without ADHD. Frontiers in Human Neuroscience. 16:Article 878994. https://doi.org/10.3389/fnhum.2022.878994

    Peitek N, Apel S, Parnin C, Brechmann A, Siegmund J. 2021. Program Comprehension and Code Complexity Metrics: A Replication Package of an fMRI Study. In Proceedings - 2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings, ICSE-Companion 2021. IEEE Computer Society. pp. 168-169. (Proceedings - International Conference on Software Engineering). https://doi.org/10.1109/ICSE-Companion52605.2021.00071

    Hajizadeh A, Matysiak A, Brechmann A, König R, May PJC. 2021. Why do humans have unique auditory event-related fields? Evidence from computational modeling and MEG experiments. Psychophysiology. 58(4):Article e13769. https://doi.org/10.1111/psyp.13769

    Peitek N, Apel S, Parnin C, Brechmann A, Siegmund J. 2021. Program Comprehension and Code Complexity Metrics: An fMRI Study. In International Conference on Software Engineering (ICSE). IEEE Computer Society. pp. 524-536. https://doi.org/10.1109/ICSE43902.2021.00056

    Heimrath K, Brechmann A, Blobel-Lüer R, Stadler J, Budinger E, Zaehle T. 2020. Transcranial direct current stimulation (tDCS) over the auditory cortex modulates GABA and glutamate: a 7 T MR-spectroscopy study. Scientific Reports. 10(1):Article 20111. https://doi.org/10.1038/s41598-020-77111-0

    Park JY, Polzehl J, Chatterjee S, Brechmann A, Fiecas M. 2020. Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data. Computational Statistics and Data Analysis. 150:Article 107006. https://doi.org/10.1016/j.csda.2020.107006

    Wolff S, Kohrs C, Angenstein N, Brechmann A. 2020. Dorsal posterior cingulate cortex encodes the informational value of feedback in human-computer interaction. Scientific Reports. 10(1):Article 13030. https://doi.org/10.1038/s41598-020-68300-y

    Siegmund J, Peitek N, Brechmann A, Parnin C, Apel S. 2020. Studying Programming in the Neuroage: Just a Crazy Idea?. Communications of the ACM. 63(6):30-34. https://doi.org/10.1145/3347093

    Abolfazli A, Brechmann A, Wolff S, Spiliopoulou M. 2020. Machine learning identifies the dynamics and influencing factors in an auditory category learning experiment. Scientific Reports. 10(1):Article 6548. https://doi.org/10.1038/s41598-020-61703-x

    Peitek N, Siegmund J, Apel S, Kastner C, Parnin C, Bethmann A, Leich T, Saake G, Brechmann A. 2020. A Look into Programmers Heads. IEEE Transactions on Software Engineering. 46(4):442-462. https://doi.org/10.1109/TSE.2018.2863303

    Aggelopoulos NC, Deike S, Selezneva E, Scheich H, Brechmann A, Brosch M. 2020. Predictive cues for auditory stream formation in humans and monkeys. European Journal of Neuroscience. 51(5):1254-1264. https://doi.org/10.1111/ejn.13808

    Lommerzheim M, Prezenski S, Russwinkel N, Brechmann A. 2020. Category learning as a use case for anticipating individual human decision making by intelligent systems. Ahram T, Karwowski W, Vergnano A, Leali F, Taiar R, editors. In Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020: Integrating People and Intelligent Systems. Springer Nature. pp. 159-164. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-39512-4_25

    Brechmann A, Angenstein N. 2019. The impact of task difficulty on the lateralization of processing in the human auditory cortex. Human Brain Mapping. 40(18):5341-5353. https://doi.org/10.1002/hbm.24776

    Peitek N, Apel S, Brechmann A, Parnin C, Siegmund J. 2019. CodersMUSE: Multi-Modal Data Exploration of Program-Comprehension Experiments. In Proceedings - 2019 IEEE/ACM 27th International Conference on Program Comprehension, ICPC 2019. IEEE. pp. 126-129. (IEEE International Conference on Program Comprehension). https://doi.org/10.1109/ICPC.2019.00027

    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. (IEEE International Conference on Systems, Man, and Cybernetics). https://doi.org/10.1109/SMC.2018.00442

    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. IEEE Computer Society. Article a24. https://doi.org/10.1145/3239235.3240495

    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. Spencer SN, editor. In Proceedings - EMIP 2018: 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. Spencer SN, editor. In Proceedings - EMIP 2018: Eye Movements in Programming. New York, New York, USA: ACM. pp. 1-5. https://doi.org/10.1145/3216723.3216725

    Iliadou VV, Ptok M, Grech H, Pedersen ER, Brechmann A, Deggouj N, Kiese-Himmel C, S´liwin´ska-Kowalska M, Nickisch A, Demanez L, et al. 2018. European 17 countries consensus endorses more approaches to APD than reported in Wilson 2018. International Journal of Audiology. 57(5):395-396. https://doi.org/10.1080/14992027.2018.1442937

    Iliadou V, Ptok M, Grech H, Pedersen ER, Brechmann A, Deggouj N, Kiese-Himmel C, Sliwinska-Kowalska M, Nickisch A, Demanez L, et al. 2017. A European perspective on auditory processing disorder-current knowledge and future research focus. Frontiers in Neurology. 8(NOV):Article 622. https://doi.org/10.3389/fneur.2017.00622

    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. https://doi.org/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):Article 1335. https://doi.org/10.3389/fpsyg.2017.01335

    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. https://doi.org/10.1145/3020165.3022131

    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. https://doi.org/10.1016/j.neuropsychologia.2016.08.017

    Angenstein N, Stadler J, Brechmann A. 2016. Auditory intensity processing: Effect of MRI background noise. Hearing Research. 333:87-92. https://doi.org/10.1016/j.heares.2016.01.007

    Kohrs C, Angenstein N, Brechmann A. 2016. Delays in human-computer interaction and their effects on brain activity. PLoS ONE. 11(1):Article e0146250. https://doi.org/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 Human-Computer Interaction. Theory, Design, Development and Practice. Springer Verlag. pp. 77-88. (Lecture Notes in Computer Science). https://doi.org/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):Article 535. https://doi.org/10.3389/fnins.2016.00535

    Krippl M, Karim AA, Brechmann A. 2015. Neuronal correlates of voluntary facial movements. Frontiers in Human Neuroscience. 9(OCTOBER):Article 598. https://doi.org/10.3389/fnhum.2015.00598

    Angenstein N, Brechmann A. 2015. Auditory intensity processing: Categorization versus comparison. NeuroImage. 119:362-370. https://doi.org/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):Article A128. https://doi.org/10.3389/fnsys.2015.00128

    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. https://doi.org/10.1111/ejn.12832

    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. https://doi.org/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):Article 266. https://doi.org/10.3389/fnins.2015.00266

    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. https://doi.org/10.1111/psyp.12253

    Bethmann A, Brechmann A. 2014. On the definition and interpretation of voice selective activation in the temporal cortex. Frontiers in Human Neuroscience. 8(JULY):Article 499. https://doi.org/10.3389/fnhum.2014.00499

    Wasserthal C, Brechmann A, Stadler J, Fischl B, Engel K. 2014. Localizing the human primary auditory cortex in vivo using structural MRI. NeuroImage. 93 Pt 2(P1):237-251. https://doi.org/10.1016/j.neuroimage.2013.07.046

    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. In ICSE 2014 Proceedings of the 36th International Conference on Software Engineering . 1 ed. ACM. pp. 378-389. (Proceedings - International Conference on Software Engineering). https://doi.org/10.1145/2568225.2568252

    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(8 JUN):Article 119. https://doi.org/10.3389/fnins.2014.00119

    Rauschenberg J, Nagel AM, Ladd SC, Theysohn JM, Ladd ME, Möller HE, Trampel R, Turner R, Pohmann R, Scheffler K, et al. 2014. Multicenter study of subjective acceptance during magnetic resonance imaging at 7 and 9.4 T. Investigative Radiology. 49(5):249-259. https://doi.org/10.1097/RLI.0000000000000035

    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):Article 775. https://doi.org/10.3389/fpsyg.2014.00775

    Weis T, Puschmann S, Brechmann A, Thiel CM. 2013. Positive and negative reinforcement activate human auditory cortex. Frontiers in Human Neuroscience. 7(DEC):Article 842. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1002/hbm.22107

    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. https://doi.org/10.1152/jn.00128.2013

    Selezneva E, Deike S, Knyazeva S, Scheich H, Brechmann A, Brosch M. 2013. Rhythm sensitivity in macaque monkeys. Frontiers in Systems Neuroscience. 7(SEP):Article 49. https://doi.org/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. https://doi.org/10.1002/hbm.22048

    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). https://doi.org/10.1007/978-3-642-37081-6_7

    Traue HC, Ohl F, Brechmann A, Schwenker F, Kessler H, Limbrecht K, Hoffmann H, Scherer S, Kotzyba M, Scheck A, et al. 2013. A Framework for Emotions and Dispositions in Man-Companion Interaction. In Coverbal Synchrony in Human-Machine Interaction. CRC Press. pp. 99-140.

    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(7 JUL):Article Article 115. https://doi.org/10.3389/fnins.2013.00115

    Weis T, Puschmann S, Brechmann A, Thiel CM. 2012. Effects of L-dopa during Auditory Instrumental Learning in Humans. PLoS ONE. 7(12):e52504. https://doi.org/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):e47626. https://doi.org/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. 6(AUGUST). https://doi.org/10.3389/fnhum.2012.00243

    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. https://doi.org/10.1016/j.neuroimage.2012.03.086

    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. https://doi.org/10.1109/ISSPA.2012.6310484

    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):Article Article 461. https://doi.org/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. https://doi.org/10.1145/2393596.2393624

    Engel K, Toennies KD, Brechmann A. 2011. Part-based localisation and segmentation of landmark-related auditory cortical regions. Pattern Recognition. 44(9):2017-2033. https://doi.org/10.1016/j.patcog.2010.09.004

    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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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.

    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. https://doi.org/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. https://doi.org/10.1016/j.heares.2010.03.005

    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. https://doi.org/10.1007/978-3-540-87919-0_19

    Nowicka A, Jednoróg K, Marchewka A, Brechmann A. 2009. Successfully overcoming the inhibitory impact of the "forget" instruction: A voxel-based morphometric study of directed forgetting. Psychophysiology. 46(5):1108-1112. https://doi.org/10.1111/j.1469-8986.2009.00839.x

    Marchewka A, Jednoróg K, Nowicka A, Brechmann A, Grabowska A. 2009. Grey-matter differences related to true and false recognition of emotionally charged stimuli - A voxel based morphometry study. Neurobiology of Learning and Memory. 92(1):99-105. https://doi.org/10.1016/j.nlm.2009.03.003

    Engel K, Maucksch F, Perlich A, Wolff M, Toennies K, Brechmann A. 2009. Fuzzy multiscale region growing for segmentation of MR images of the human brain. In Informatik aktuell. pp. 242-246. https://doi.org/10.1007/978-3-540-93860-6_49

    Durrant S, Hardoon DR, Brechmann A, Shawe-Taylor J, Miranda ER, Scheich H. 2009. GLM and SVM analyses of neural response to tonal and atonal stimuli: New techniques and a comparison. Connection Science. 21(2-3):161-175. https://doi.org/10.1080/09540090902733863

    Engel K, Tönnies K, Brechmann A. 2009. Parcellation of the auditory cortex into landmark-related regions of interest. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). pp. 631-638. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-03767-2_77

    Engel K, Toennies KD, Brechmann A. 2009. Surface-based anatomo-functional parcellation of the auditory cortex. In ISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis. pp. 602-609.

    Behne N, Scheich H, Brechmann A. 2008. The left dorsal striatum is involved in the processing of neutral feedback. NeuroReport. 19(15):1497-1500. https://doi.org/10.1097/WNR.0b013e32830fe98c

    Rahne T, Deike S, Selezneva E, Brosch M, König R, Scheich H, Böckmann M, Brechmann A. 2008. A multilevel and cross-modal approach towards neuronal mechanisms of auditory streaming. Brain Research. 1220:118-131. https://doi.org/10.1016/j.brainres.2007.08.011

    Marchewka A, Brechmann A, Nowicka A, Jednoróg K, Scheich H, Grabowska A. 2008. False recognition of emotional stimuli is lateralised in the brain: An fMRI study. Neurobiology of Learning and Memory. 90(1):280-284. https://doi.org/10.1016/j.nlm.2008.01.012

    Thaerig S, Behne N, Schadow J, Lenz D, Scheich H, Brechmann A, Herrmann CS. 2008. Sound level dependence of auditory evoked potentials: Simultaneous EEG recording and low-noise fMRI. International Journal of Psychophysiology. 67(3):235-241. https://doi.org/10.1016/j.ijpsycho.2007.06.007

    Wasserthal C, Engel K, Rink K, Brechmann A. 2008. Automatic segmentation of the cortical grey and white matter in MRI using a region-growing approach based on anatomical knowledge. In Informatik aktuell. pp. 437-441. https://doi.org/10.1007/978-3-540-78640-5_88

    Engel K, Brechmann A, Toennies K. 2008. Model-based segmentation of cortical regions of interest for multi-subject analysis of fMRI data. In Informatik aktuell. pp. 442-447. https://doi.org/10.1007/978-3-540-78640-5_89

    Brechmann A, Gaschler-Markefski B, Sohr M, Yoneda K, Kaulisch T, Scheich H. 2007. Working memory-specific activity in auditory cortex: Potential correlates of sequential processing and maintenance. Cerebral Cortex. 17(11):2544-2552. https://doi.org/10.1093/cercor/bhl160

    Scheich H, Brechmann A, Brosch M, Budinger E, Ohl FW. 2007. The cognitive auditory cortex: Task-specificity of stimulus representations. Hearing Research. 229(1-2):213-224. https://doi.org/10.1016/j.heares.2007.01.025

    Bethmann A, Tempelmann C, De Bleser R, Scheich H, Brechmann A. 2007. Determining language laterality by fMRI and dichotic listening. Brain Research. 1133(1):145-157. https://doi.org/10.1016/j.brainres.2006.11.057

    Engel K, Brechmann A. 2007. Finding Landmarks in the Functional Brain using Feature Reduction and Alignment Techniques. Annals of the BMVA. 2007:1-13.

    Behne N, Wendt B, Scheich H, Brechmann A. 2006. Contralateral white noise selectively changes left human auditory cortex activity in a lexical decision task. Journal of Neurophysiology. 95(4):2630-2637. https://doi.org/10.1152/jn.01201.2005

    Gaschler-Markefski B, Brechmann A, Szycik GR, Kaulisch T, Baumgart F, Scheich H. 2006. Definition of human auditory cortex territories based on anatomical landmarks and fMRI activation. Divenyi PL, Greenberg S, Meyer G, editors. In Dynamics of speech production and perception. IOS Press. pp. 355-367. (NATO Science Series, I: Life and Behavioural Sciences).

    Gaschler B, Brechmann A, Szycik GR, Kaulisch T, Baumgart F, Scheich H. 2006. Definition of human auditory cortex territories based on anatomical landmarks and fMRI activation. Dynamics of speech production and perception. In Dynamics of speech production and perception. IOS Press. pp. 355-364. (NATO Science Series, I: Life and Behavioural Sciences).

    Scheich H, Ohl FW, Schulze H, Hess A, Brechmann A. 2006. What Is Reflected in Sensory Neocortical Activity: External Stimuli or What the Cortex Does with Them?. van Hemmen JL, Sejnowski TJ, editors. In 23 Problems in Systems Neuroscience. Oxford: Oxford University Press. pp. 343-366. https://doi.org/10.1093/acprof:oso/9780195148220.001.0001

    Engel K, Brechmann A, Tönnies K. 2005. A two-level dynamic model for the representation and recognition of cortical folding patterns. In IEEE International Conference on Image Processing 2005, ICIP 2005: ICIP 2005. IEEE. pp. 297-300. https://doi.org/10.1109/ICIP.2005.1529746

    Brechmann A, Scheich H. 2005. Hemispheric shifts of sound representation in auditory cortex with conceptual listening. Cerebral Cortex. 15(5):578-587. https://doi.org/10.1093/cercor/bhh159

    Scheich H, Ohl FW, Schulze H, Hess A, Brechmann A. 2005. What is reflected in auditory cortex activity: Properties of sound stimuli or what the brain does with them?. In The Auditory Cortex: A Synthesis of Human and Animal Research. Taylor & Francis Group. pp. 383-408. https://doi.org/10.4324/9781410613066

    Behne N, Scheich H, Brechmann A. 2005. Contralateral white noise selectively changes right human auditory cortex activity caused by a FM-direction task. Journal of Neurophysiology. 93(1):414-423. https://doi.org/10.1152/jn.00568.2004

    Deike S, Gaschler-Markefski B, Brechmann A, Scheich H. 2004. Auditory stream segregation relying on timbre involves left auditory cortex. NeuroReport. 15(9):1511-1514. https://doi.org/10.1097/01.wnr.0000132919.12990.34

    Sander K, Brechmann A, Scheich H. 2003. Audition of laughing and crying leads to right amygdala activation in a low-noise fMRI setting. Brain Research Protocols. 11(2):81-91. https://doi.org/10.1016/S1385-299X(03)00018-7

    Wendt B, Hufnagel K, Brechmann A, Gaschler B, Tiedge J, Ackermann H, Scheich H. 2003. A method for creation and validation of a natural spoken language corpus used for prosodic and speech perception. Brain and Language. 87:187.

    Brechmann A, Baumgart F, Scheich H. 2002. Sound-level-dependent representation of frequency modulations in human auditory cortex: A low-noise fMRI study. Journal of Neurophysiology. 87(1):423-433. https://doi.org/10.1152/jn.00187.2001

    Bischof A, Stark H, Blumenstein R, Wagner T, Brechmann A, Scheich H. 2001. A semiautomatic method for adding behavioral data to videotape records in combination with the Noldus Observer system. Behavior Research Methods, Instruments, and Computers. 33(4):549-555. https://doi.org/10.3758/BF03195415

    Brechmann A, Scheich H. 2000. The right human auditory cortex is predominantly involved in the discrimination of the direction of frequency modulated tones. NeuroImage. 11(5 PART II). https://doi.org/10.1016/s1053-8119(00)91728-2

    Sander K, Brechmann A, Stiller D, Scheich H. 1999. Aktivierung der Amygdala durch Verarbeitung nonverbaler stimmlicher Emotionsäußerungen. Ipke W, Jung B, editors. In KogWis99: Proceedings der 4. Fachtagung der Gesellschaft für Kognitionswissenschaft. Infix. pp. 201-206.

    Sander K, Brechmann A, Stiller D, Scheich H. 1999. Human amygdala activation by nonverbal emotional vocalizations regardless of a distracting task. NeuroImage. 9(6 PART II).
  • Drittmittel

    Drittmittel

    2018 - 2022 (DFG)
    Multimodale Affekterkennung im Verlaufe eines tutoriellen Lernexperiments

    2022 - 2022 (Sonstiges)
    International Conference on Auditory Cortex (ICAC 2022)

    2019 - 2021 (DFG)
    Neuronale, behaviorale und psychophysiologische Korrelate von Programmverständnis

    2018 - 2020 (LSA)
    Intentionale Antizipatorische Interaktive Systeme (IAIS), Teilprojekt des LIN

    2016 - 2019 (DFG)
    Verstehen von Programmverständnis im Zeitalter der bildgebenden Verfahren

    2016 - 2019 (DFG)
    Combinatorial Neurolmaging Gerätezentrum

    2015 - 2018 (Bund)
    Dispositionsadaptive Nutzerunterstützung auf Basis von Hirnaktivität und Psychobiologie

    2009 - 2017 (DFG)
    SFB TRR 62/ B02: Hirnmechanismen der Informationsverarbeitung in Dialogen

    2013 - 2017 (DFG)
    SFB TRR 31/ A04: Prediktive Mechanismen bei aktiver Stream Segregation und verwandten Aufgaben

    2012 - 2015 (DFG)
    Combinatorial Neurolmaging Core Facility

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