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Content available in repository
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Jesper Pilmeyer is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A causal modelling of the brain as a network of networks: a comparison between autism and controls
Schielen, S., Stepanov, D., Pilmeyer, J., Ruijters, D., Aldenkamp, A. P. & Zinger, S., May 2025, (Accepted/In press).Research output: Contribution to conference › Abstract › Academic
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MRI biomarkers for outcome prediction in depression
Pilmeyer, J., 25 Mar 2025, Eindhoven: Eindhoven University of Technology. 269 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open AccessFile61 Downloads (Pure) -
Objective outcome prediction in depression through functional MRI brain network dynamics
Pilmeyer, J. (Corresponding author), Rademakers, S., Lamerichs, R. M. J. N., van Kranen-Mastenbroek, V. H. J. M., Jansen, J. F. A., Breeuwer, M. & Zinger, S., Mar 2025, In: Psychiatry Research. Neuroimaging. 347, 10 p., 111945.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile10 Downloads (Pure) -
Explainable depression classification: a machine learning approach based on brain network size and functional connectivity
Pilmeyer, J., Koolen, J. W. M., Breeuwer, M., Jansen, J. F. A. & Zinger, S., 8 Mar 2024.Research output: Contribution to conference › Poster
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Improved clinical outcome prediction in depression using neurodynamics in an emotional face-matching functional MRI task
Pilmeyer, J. (Corresponding author), Lamerichs, R. M. J. N., Ramsaransing, F., Jansen, J. F. A., Breeuwer, M. & Zinger, S., 22 Mar 2024, In: Frontiers in Psychiatry. 15, 19 p., 1255370.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)42 Downloads (Pure)
Datasets
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Multi-echo resting-state fMRI networks of healthy volunteers
Lamerichs, R. M. J. N. (Contributor) & Pilmeyer, J. (Contributor), Zenodo, 13 Aug 2021
DOI: 10.5281/zenodo.5196276, https://zenodo.org/record/5196276
Dataset
Activities
- 2 Contributed talk
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Evaluation of different multi-echo combinations on objective depression prognosis in an emotional face-matching task
Pilmeyer, J. (Speaker)
16 Nov 2023Activity: Talk or presentation types › Contributed talk › Scientific
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Prediction of depression symptom improvement based on multi-echo functional MRI
Pilmeyer, J. (Speaker)
27 Jan 2023Activity: Talk or presentation types › Contributed talk › Scientific
Press/Media
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Betere hulp aan mensen met een depressie, dat is het doel van nieuw onderzoek in Heeze
21/09/21
1 item of Media coverage
Press/Media: Research
Thesis
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Re-referencing methods for high-density electrocorticographic signals: evaluating alternatives of common average re-referencing
Pilmeyer, J. (Author), Pluim, J. (Supervisor 1), Cheplygina, V. (Supervisor 2), Eduati, F. (Supervisor 2), Freudenburg, Z. V. (External coach) & Branco, M. P. (External coach), 29 Nov 2018Student thesis: Master