M
Matthias R. Hohmann
Researcher at Max Planck Society
Publications - 13
Citations - 140
Matthias R. Hohmann is an academic researcher from Max Planck Society. The author has contributed to research in topics: Sensory processing & Wakefulness. The author has an hindex of 7, co-authored 13 publications receiving 79 citations.
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Journal ArticleDOI
Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states.
Federico Zilio,Javier Gomez-Pilar,Shumei Cao,Jun Zhang,Di Zang,Zengxin Qi,Jiaxing Tan,Tanigawa Hiromi,Xuehai Wu,Stuart Fogel,Zirui Huang,Matthias R. Hohmann,Tatiana Fomina,Matthis Synofzik,Moritz Grosse-Wentrup,Adrian M. Owen,Georg Northoff +16 more
TL;DR: The results establish that the spontaneous activity's intrinsic neural timescale is related to the neural capacity that specifically supports sensory rather than motor information processing in the healthy brain.
Proceedings ArticleDOI
Brain-computer interfacing in amyotrophic lateral sclerosis: Implications of a resting-state EEG analysis
Vinay Jayaram,Natalie Widmann,Christian Förster,Tatiana Fomina,Matthias R. Hohmann,Jennifer Müller vom Hagen,Matthis Synofzik,Bernhard Schölkopf,Ludger Schöls,Moritz Grosse-Wentrup +9 more
TL;DR: An ALS-specific global increase in gamma power (30-90 Hz) that is not specific to the motor cortex is found, suggesting that the mechanism behind ALS affects non-motor cortical regions even in the absence of comorbid cognitive deficits.
Journal ArticleDOI
Case series: Slowing alpha rhythm in late-stage ALS patients.
Matthias R. Hohmann,Tatiana Fomina,Vinay Jayaram,Theresa Emde,Jennifer Just,Matthis Synofzik,Bernhard Schölkopf,Ludger Schöls,Moritz Grosse-Wentrup +8 more
TL;DR: The alpha peak frequency of the human electroencephalogram (EEG) is a reliable neurophysiological marker for cognitive abilities and a shift towards the lower end of the EEG spectrum in two completely locked-in ALS patients is documented.
Book ChapterDOI
A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis
Matthias R. Hohmann,Tatiana Fomina,Vinay Jayaram,Natalie Widmann,Christian Förster,Jennifer Müller vom Hagen,Matthis Synofzik,Bernhard Schölkopf,Ludger Schöls,Moritz Grosse-Wentrup +9 more
TL;DR: A new paradigm that targets higher level cognitive processes to transmit information from the user to the BCI is devised that could serve as a basis for a novel tool which allows for simple, reliable communication with patients in late stages of ALS.
Proceedings ArticleDOI
Identification of the Default Mode Network with electroencephalography
TL;DR: It is shown that the Default Mode Network can also be identified by electroencephalography (EEG), and instructing subjects to alternate between self-referential memory recall and focusing on their breathing induces a spatial pattern of spectral band power modulation that is consistent with the DMN pattern observed with PET and fMRI.