Author

Michel R.T. Sinke

Utrecht UniversityORCID 0000-0002-8185-9209Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Willem M. OtteiD· 3 shared Eric G.A.L Van DiesseniD· 2 shared Frank van der Maas· 2 shared Jan W. Buitenhuis· 2 shared Rick M. DijkhuizeniD· 2 shared Annette van der ToorniD· 1 shared Erwin L. A. BlezeriD· 1 shared Job Nwiboko· 1 shared

Activity by Year

2018-2020 · peak 2/yr

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10 top collaborators · 28 mutual co-author links

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3 shared papersNeuroscience

Willem M. OtteORCID

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3 papers

Recent·Most cited

Distinct structure-function relationships across cortical regions and connectivity scales in the rat brain

Milou Straathof, Michel R.T. Sinke, Theresia J. M. Roelofs, Erwin L. A. Blezer, Ratna Angela Sarabdjitsingh, Annette van der Toorn, Oliver Schmitt, Willem M. Otte, Rick M. Dijkhuizen

The paper examines structure-function relationships in the rat brain across different connectivity scales and finds distinct correlations between functional and structural connectivity at macro and meso scales.

Scientific Reports · Jan 9, 2020Peer-reviewedNeuroscience

The power of language: functional brain network topology of deaf and hearing in relation to sign language experience

Michel R.T. Sinke, Jan W. Buitenhuis, Frank van der Maas, Job Nwiboko, Rick M. Dijkhuizen, Eric G.A.L Van Diessen, Willem M. Otte

This study compares functional brain network shifts between deaf and hearing individuals, finding increased auditory-visual connectivity and network backbone changes in deaf people related to sign language experience.

Hearing Research · Dec 15, 2018Peer-reviewedNeuroscience

Reliable and automatic epilepsy classification with affordable, consumer-grade electroencephalography in rural sub-Saharan Africa

Vincent T. van Hees, Eric G.A.L Van Diessen, Michel R.T. Sinke, Jan W. Buitenhuis, Frank van der Maas, Lars Ridder, Willem M. Otte

This study uses low-cost consumer-grade EEG and machine learning to classify epilepsy in rural settings, achieving moderate cross-country performance.

bioRxiv · May 17, 2018 · PreprintNeuroscience