LIN Personal

Dr. Christoph Reichert



Leibniz-Institut für Neurobiologie
Brenneckestr. 6
39118 Magdeburg
Telefon: +49 391 6263 92311
ORCID: 0000-0002-8649-9791

  • Forschungsinteressen


    Brain-Computer Interfaces (BCI)

     - Aufmerksamkeitbasierte Kommunikation mittels BCI

     - Kollaborative BCIs

     - Single trial Decodierung mittels MEG, EEG und ECoG


     - Diagnose motorischer Krankheiten mittels Datenhandschuh

  • Lebenslauf


    Christoph Reichert studierte Informatik an der Otto-von-Guericke Universität, wo er 2007 sein Diplom erhielt. Danach arbeitete er als wissenschaftlicher Mitarbeiter in der Klinik für Neurologie in Magdeburg. Seit 2015 ist er am Leibniz Institut für Neurobiologie angestellt. Seine Promotion schloss er 2016 an der Fakultät für Informatik der Otto-von-Guericke Universität ab. Sein Hauptinteresse liegt bei der Anwendung von Maschinellem Lernen zur Dekodierung von elektrophysiologischen Hirnsignalen.

  • Publikationen


    Klemm L, Kuehn E, Kalyani A, Schreiber S, Reichert C, Azañón E. 2024. Age-related differences in finger interdependence during complex hand movements. Journal of applied physiology (Bethesda, Md. : 1985).

    Reichert C, Sweeney-Reed CM, Hinrichs H, Dürschmid S. 2024. A toolbox for decoding BCI commands based on event-related potentials. Frontiers in Human Neuroscience. 18:Article 1358809.

    Villafane Barraza V, Voegtle A, de Matos Mansur B, Reichert C, Nasuto SJ, Sweeney-Reed CM. 2023. Parietal cortical alpha/beta suppression during prospective memory retrieval. Cerebral Cortex. 33(23):11235-11246.

    Kalyani A, Contier O, Klemm L, Azañon E, Schreiber S, Speck O, Reichert C, Kuehn E. 2023. Reduced dimension stimulus decoding and column-based modeling reveal architectural differences of primary somatosensory finger maps between younger and older adults. NeuroImage. 283:Article 120430.

    Sultana M, Reichert C, Sweeney-Reed C, Perdikis S. 2023. Towards Calibration-Less BCI-Based Rehabilitation. In 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. pp. 11-16. (2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023 - Proceedings).

    Voegtle A, Reichert C, Hinrichs H, Sweeney-Reed CM. 2022. Repetitive Anodal TDCS to the Frontal Cortex Increases the P300 during Working Memory Processing. Brain Sciences. 12(11):Article 1545.

    Krueger J, Krauth R, Reichert C, Perdikis S, Vogt S, Huchtemann T, Dürschmid S, Sickert A, Lamprecht J, Huremovic A, et al. 2022. Functional electrical stimulation driven by a brain–computer interface in acute and subacute stroke patients impacts beta power and long-range temporal correlation. In 2022 IEEE Workshop on Complexity in Engineering (COMPENG). IEEE.

    Reichert C, Dürschmid S, Sweeney-Reed CM, Hinrichs H. 2022. Visual spatial attention shifts decoded from the electroencephalogram enable sending of binary messages. In 2022 IEEE Workshop on Complexity in Engineering (COMPENG). IEEE.

    Eckert D, Reichert C, Bien CG, Heinze H-J, Knight RT, Deouell LY, Dürschmid S. 2022. Distinct interacting cortical networks for stimulus-response and repetition-suppression. Communications biology. 5(1):Article 909.

    Reichert C, Klemm L, Mushunuri RV, Kalyani A, Schreiber S, Kuehn E, Azañón E. 2022. Discriminating Free Hand Movements Using Support Vector Machine and Recurrent Neural Network Algorithms. Sensors. 22(16):1-12.

    Wienke C, Bartsch M, Vogelgesang L, Reichert C, Hinrichs H, Heinze H-J, Dürschmid S. 2021. Mind-wandering Is Accompanied by Both Local Sleep and Enhanced Processes of Spatial Attention Allocation. Cerebral Cortex Communications. 2(1):Article tgab001.

    Reichert C, Tellez Ceja IF, Sweeney-Reed CM, Heinze H-J, Hinrichs H, Dürschmid S. 2020. Impact of Stimulus Features on the Performance of a Gaze-Independent Brain-Computer Interface Based on Covert Spatial Attention Shifts. Frontiers in Neuroscience. 14:591777.

    Will M, Peter T, Hanses M, Elkmann N, Rose G, Hinrichs H, Reichert C. 2020. A robot control platform for motor impaired people. In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE. pp. 2025-2030. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

    Reichert C, Dürschmid S, Bartsch MV, Hopf J-M, Heinze H-J, Hinrichs H. 2020. Decoding the covert shift of spatial attention from electroencephalographic signals permits reliable control of a brain-computer interface. Journal of Neural Engineering. 17(5):056012.

    Vogelgesang L, Reichert C, Hinrichs H, Heinze HJ, Dürschmid S. 2020. Early Shift of Attention Is Not Regulated by Mind Wandering in Visual Search. Frontiers in Neuroscience. 14:Article 552637.

    Krueger J, Reichert C, Dürschmid S, Krauth R, Vogt S, Huchtemann T, Lindquist S, Lamprecht J, Sailer M, Heinze HJ, et al. 2020. Rehabilitation nach Schlaganfall: Durch Gehirn-Computer-Schnittstelle vermittelte funktionelle Elektrostimulation. Klinische Neurophysiologie. 51(3):144-155.

    Reichert C, Dürschmid S, Hinrichs H. 2020. EEG als Steuersignal: Gehirnaktivität entschlüsseln und effizient als Kommunikationsmittel für Patienten mit motorischen Defiziten nutzen. Klinische Neurophysiologie. 51(3):161-166.

    Dürschmid S, Reichert C, Walter N, Hinrichs H, Heinze H-J, Ohl FW, Tononi G, Deliano M. 2020. Self-regulated critical brain dynamics originate from high frequency-band activity in the MEG. PLoS ONE. 15(6):e0233589.

    Dürschmid S, Reichert C, Kuhn J, Freund HJ, Hinrichs H, Heinze HJ. 2020. Deep brain stimulation of the nucleus basalis of Meynert attenuates early EEG components associated with defective sensory gating in patients with Alzheimer disease - a two-case study. European Journal of Neuroscience. 51(5):1201-1209.

    Dürschmid S, Reichert C, Hinrichs H, Heinze H-J, Kirsch HE, Knight RT, Deouell LY. 2019. Direct Evidence for Prediction Signals in Frontal Cortex Independent of Prediction Error. Cerebral Cortex. 29(11):4530-4538.

    Farahat A, Reichert C, Sweeney-Reed C, Hinrichs H. 2019. Convolutional neural networks for decoding of covert attention focus and saliency maps for EEG feature visualization. Journal of Neural Engineering. 16(6):066010.

    Reichert C, Heinze N, Pfeiffer T, Dürschmid S, Hinrichs H. 2018. P63. Detection of error potentials from EEG and MEG recordings and its value for BMI control. Clinical Neurophysiology. 129(8):e93.

    Reichert C, Dürschmid S, Heinze HJ, Hinrichs H. 2017. A comparative study on the detection of covert attention in event-related EEG and MEG signals to control a BCI. Frontiers in Neuroscience. 11(OCT):Article 575.

    Dürschmid S, Edwards E, Reichert C, Dewar C, Hinrichs H, Heinze HJ, Kirsch HE, Dalal SS, Deouell LY, Knight RT. 2016. Hierarchy of prediction errors for auditory events in human temporal and frontal cortex. Proceedings of the National Academy of Sciences of the United States of America. 113(24):6755-6760.

    Reichert C, Dürschmid S, Kruse R, Hinrichs H. 2016. An efficient decoder for the recognition of event-related potentials in high-density MEG recordings. Computers. 5(2):Article 5.

    Reichert C, Dürschmid S, Hinrichs H, Kruse R. 2015. Efficient recognition of event-related potentials in high-density MEG recordings. In 2015 7th Computer Science and Electronic Engineering Conference, CEEC 2015 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. pp. 81-86.

    Reichert C, Kennel M, Kruse R, Heinze H-J, Schmucker U, Hinrichs H, Rieger JW. 2015. Brain-Controlled Selection of Objects Combined with Autonomous Robotic Grasping. Londral RA, Encarnação P, Rovira PJL, editors. In Springer Series in Computational Neuroscience: Neurotechnology, Electronics, and Informatics: Revised Selected Papers from Neurotechnix 2013. Cham: Springer International Publishing. pp. 65-77.

    Reichert C, Fendrich R, Bernarding J, Tempelmann C, Hinrichs H, Rieger JW. 2014. Online tracking of the contents of conscious perception using real-time fMRI. Frontiers in Neuroscience. 8:Article 116.

    Reichert C, Kennel M, Kruse R, Hinrichs H, Rieger JW. 2013. Efficiency of SSVEF recognition from the magnetoencephalogram a comparison of spectral feature classification and CCA-based prediction. In NEUROTECHNIX 2013 - Proceedings of the International Congress on Neurotechnology, Electronics and Informatics. pp. 233-237.

    Reichert C, Kennel M, Kruse R, Heinze HJ, Schmucker U, Hinrichs H, Rieger JW. 2013. Robotic grasp initiation by gaze independent brain-controlled selection of virtual reality objects. In Neurotechnix:Proceedings of the International Congress on Neurotechnology, Electronics and Informatics. pp. 5-12.

    Quandt F, Reichert C, Schneider B, Dürschmid S, Richter D, Hinrichs H, Rieger JW. 2012. Grundlagen und Anwendung von Brain-Machine Interfaces (BMI) *. Klinische Neurophysiologie. 43(2):158-167.

    Quandt F, Reichert C, Hinrichs H, Heinze HJ, Knight RT, Rieger JW. 2012. Single trial discrimination of individual finger movements on one hand: A combined MEG and EEG study. NeuroImage. 59(4):3316-3324.

    Rieger JW, Reichert C, Gegenfurtner KR, Noesselt T, Braun C, Heinze HJ, Kruse R, Hinrichs H. 2008. Predicting the recognition of natural scenes from single trial MEG recordings of brain activity. NeuroImage. 42(3):1056-1068.
  • Drittmittel


    2024 - 2026 (DFG)
    Untersuchung von visuell-räumlicher Aufmerksamkeit auf Eignung als Steuersignal eines Brain-Computer Interfaces

    2019 - 2022 (LSA)
    Diagnostic Glove: Disease diagnosis in daily life from wearable kinematics"

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