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Alkemade, A., Großmann, R., Bazin, P-L., & Forstmann, B. U. (2023). Mixed methodology in human brain research: integrating MRI and histology. Brain Structure and Function, 228(6), 1399-1410. https://doi.org/10.1007/s00429-023-02675-2
Isherwood, S. J. S., Bazin, PL., Miletić, S., Stevenson, N. R., Trutti, A. C., Tse, D. H. Y., Heathcote, A., Matzke, D., Innes, R. J., Habli, S., Sokołowski, D. R., Alkemade, A., Håberg, A. K., & Forstmann, B. U. (2023). Investigating Intra-Individual Networks of Response Inhibition and Interference Resolution using 7T MRI. NeuroImage, 271. https://doi.org/10.1016/j.neuroimage.2023.119988
Isherwood, S. J. S., Bazin, P. L. E. A., Miletić, S., Stevenson, N. R., Trutti, A., H. Y. Tse, D., Heathcote, A., Matzke, D., Habli, S., Sokołowski, D. R., Alkemade, A., Håberg, A., Forstmann, B. & Innes, R. (8-6-2023). Investigating Intra-Individual Networks of Response Inhibition and Interference Resolution using 7T MRI data. Universiteit van Amsterdam. https://doi.org/10.21942/uva.22240393.v1
2022
Alkemade, A., Bazin, P-L., Balesar, R., Pine, K., Kirilina, E., Möller, H. E., Trampel, R., Kros, J. M., Keuken, M. C., Bleys, R. L. A. W., Swaab, D. F., Herrler, A., Weiskopf, N., & Forstmann, B. U. (2022). A unified 3D map of microscopic architecture and MRI of the human brain. Science Advances, 8(17), [eabj7892]. https://doi.org/10.1126/sciadv.abj7892[details]
Alkemade, A., Mulder, M. J., Trutti, A. C., & Forstmann, B. U. (2022). Manual delineation approaches for direct imaging of the subcortex. Brain Structure and Function, 227(1), 219-297. https://doi.org/10.1007/s00429-021-02400-x[details]
Alkemade, J. M., Mulder, M. J., Trutti, A. C. & Forstmann, B. U. (16-3-2021). Manual Delineation approaches for direct imaging of the subcortex. Universiteit van Amsterdam. https://doi.org/10.21942/uva.14216504.v2
Brammerloh, M., Kirilina, E., Alkemade, A., Bazin, P-L., Jantzen, C., Jäger, C., Herrler, A., Pine, K. J., Gowland, P. A., Morawski, M., Forstmann, B. U., & Weiskopf, N. (2022). Swallow Tail Sign: Revisited. Radiology, 305(3), 674–677. https://doi.org/10.1148/radiol.212696[details]
Groot, J. M., Csifcsák, G., Wientjes, S., Forstmann, B. U., & Mittner, M. (2022). Catching wandering minds with tapping fingers: neural and behavioral insights into task-unrelated cognition. Cerebral Cortex, 32(20), 4447-4463. https://doi.org/10.1093/cercor/bhab494[details]
Hawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2022). Self-reported mind wandering reflects executive control and selective attention. Psychonomic Bulletin and Review, 29(6), 2167-2180. https://doi.org/10.3758/s13423-022-02110-3[details]
Keuken, M. C., Liebrand, L. C., Bazin, P-L., Alkemade, A., van Berendonk, N., Groot, J. M., Isherwood, S. J. S., Kemp, S., Lute, N., Mulder, M. J., Trutti, A. C., Caan, M. W. A., & Forstmann, B. U. (2022). A high-resolution multi-shell 3T diffusion magnetic resonance imaging dataset as part of the Amsterdam Ultra-high field adult lifespan database (AHEAD). Data in Brief, 42, [108086]. https://doi.org/10.1016/j.dib.2022.108086[details]
Keuken, M., Liebrand, L., Bazin, P., Alkemade, A., van Berendonk, N., Groot, J., Isherwood, S., Kemp, S., Lute, N., Mulder, M., Trutti, A., Caan, M. W. A. & Forstmann, B. (28-10-2021). A high-resolution multi-shell 3T diffusion magnetic resonance imaging dataset as part of the Amsterdam Ultra-high field adult lifespan database (AHEAD) - dataset. Universiteit van Amsterdam. https://doi.org/10.21942/uva.16884703.v1
Miletić, S., Bazin, P. L., Isherwood, S. J. S., Keuken, M. C., Alkemade, A., & Forstmann, B. U. (2022). Charting human subcortical maturation across the adult lifespan with in vivo 7 T MRI. NeuroImage, 249, [118872]. https://doi.org/10.1016/j.neuroimage.2022.118872[details]
Miletić, S., Keuken, M. C., Mulder, M. J., Trampel, R., de Hollander, G., & Forstmann, B. U. (2022). 7T functional MRI finds no evidence for distinct functional subregions in the subthalamic nucleus during a speeded decision-making task. Cortex, 155, 162-188. https://doi.org/10.1016/j.cortex.2022.06.014[details]
Miletić, S., Keuken, M., Mulder, M., Trampel, R., de Hollander, G. & Forstmann, B. (11-12-2020). No evidence for three functionally specialized subdivisions in the subthalamic nucleus. Universiteit van Amsterdam. https://doi.org/10.21942/uva.13347433.v1
Miletić, S., Keuken, M. C., Mulder, M., Trampel, R., de Hollander, G. & Forstmann, B. (28-6-2022). 7T functional MRI finds no evidence for distinct functional subregions in the subthalamic nucleus during a speeded decision-making task. Universiteit van Amsterdam. https://doi.org/10.21942/uva.20160598.v1
Zhang, C., Karkalousos, D., Bazin, P-L., Coolen, B. F., Vrenken, H., Sonke, J-J., Forstmann, B. U., Poot, D. H. J., & Caan, M. W. A. (2022). A unified model for reconstruction and R2* mapping of accelerated 7T data using the quantitative recurrent inference machine. NeuroImage, 264, [119680]. https://doi.org/10.1016/j.neuroimage.2022.119680[details]
Alkemade, A., & Forstmann, B. U. (2021). Imaging of the human subthalamic nucleus. In D. F. Swaab, F. Kreier, P. J. Lucassen, A. Salehi, & R. M. Buijs (Eds.), The Human Hypothalamus: Middle and Posterior Region (pp. 403-416). (Handbook of Clinical Neurology; Vol. 180). Elsevier. https://doi.org/10.1016/B978-0-12-820107-7.00025-2[details]
Boag, R. J., Stevenson, N., van Dooren, R., Trutti, A. C., Sjoerds, Z., & Forstmann, B. U. (2021). Cognitive Control of Working Memory: A Model-Based Approach. Brain Sciences, 11(6), [721]. https://doi.org/10.3390/brainsci11060721[details]
Groot, J. M., Boayue, N. M., Csifcsák, G., Boekel, W., Huster, R., Forstmann, B. U., & Mittner, M. (2021). Probing the neural signature of mind wandering with simultaneous fMRI-EEG and pupillometry. NeuroImage, 224, [117412]. https://doi.org/10.1016/j.neuroimage.2020.117412[details]
Isaacs, B. R., Heijmans, M., Kuijf, M. L., Kubben, P. L., Ackermans, L., Temel, Y., Keuken, M. C., & Forstmann, B. U. (2021). Variability in subthalamic nucleus targeting for deep brain stimulation with 3 and 7 Tesla magnetic resonance imaging. NeuroImage: Clinical, 32, [102829]. https://doi.org/10.1016/j.nicl.2021.102829[details]
Isherwood, S. J. S., Bazin, P-L., Alkemade, A., & Forstmann, B. U. (2021). Quantity and quality: Normative open-access neuroimaging databases. PLoS ONE, 16(3), e0248341. https://doi.org/10.1371/journal.pone.0248341[details]
Isherwood, S. J. S., Keuken, M. C., Bazin, P. L., & Forstmann, B. U. (2021). Cortical and subcortical contributions to interference resolution and inhibition – An fMRI ALE meta-analysis. Neuroscience and Biobehavioral Reviews, 129, 245-260. https://doi.org/10.1016/j.neubiorev.2021.07.021[details]
Keuken, M. C., Alkemade, A., Stevenson, N., Innes, R. J., & Forstmann, B. U. (2021). Structure-function similarities in deep brain stimulation targets cross-species. Neuroscience and Biobehavioral Reviews, 131, 1127-1135. https://doi.org/10.1016/j.neubiorev.2021.10.029[details]
Miletić, S., Boag, R. J., Trutti, A. C., Stevenson, N., Forstmann, B. U., & Heathcote, A. (2021). A new model of decision processing in instrumental learning tasks. eLife, 10, [e63055]. https://doi.org/10.7554/eLife.63055[details]
Trutti, A. C., Fontanesi, L., Mulder, M. J., Bazin, P-L., Hommel, B., & Forstmann, B. U. (2021). A probabilistic atlas of the human ventral tegmental area (VTA) based on 7 Tesla MRI data. Brain Structure and Function, 226(4), 1155-1167. https://doi.org/10.1007/s00429-021-02231-w[details]
Trutti, A. C., Verschooren, S., Forstmann, B. U., & Boag, R. J. (2021). Understanding subprocesses of working memory through the lens of model-based cognitive neuroscience. Current Opinion in Behavioral Sciences, 38, 57-65. https://doi.org/10.1016/j.cobeha.2020.10.002[details]
Alkemade, A., Mulder, M. J., Groot, J. M., Isaacs, B. R., van Berendonk, N., Lute, N., Isherwood, S. J. S., Bazin, P-L., & Forstmann, B. U. (2020). The Amsterdam Ultra-high field adult lifespan database (AHEAD): A freely available multimodal 7 Tesla submillimeter magnetic resonance imaging database. NeuroImage, 221, [117200]. https://doi.org/10.1016/j.neuroimage.2020.117200[details]
Bazin, P. L. E. A., Forstmann, B. U., Alkemade, J. M., Miletić, S. & Isherwood, S. J. S. (9-5-2022). MASSP 2021 Younger Probabilistic Atlas. Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646328.v1
Bazin, P. L. E. A., Forstmann, B. U., Alkemade, J. M., Miletić, S. & Isherwood, S. J. S. (9-5-2022). MASSP 2021 Older Probabilistic Atlas. Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646346.v1
Bazin, P. L. E. A., Forstmann, B. U., Alkemade, J. M., Miletić, S. & Isherwood, S. J. S. (9-5-2022). MASSP 2021 Middle-aged Probabilistic Atlas. Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646334.v1
Bazin, P. L. E. A., Forstmann, B. U., Alkemade, J. M., Miletić, S. & Isherwood, S. J. S. (9-5-2022). MASSP 2021 Lifespan Probabilistic Atlas. Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646313.v1
Bazin, P. L. E. A., Forstmann, B. U., Alkemade, J. M., Miletić, S. & Isherwood, S. J. S. (8-7-2023). AHEAD quantitative MRI templates (MNI2009b). Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646364.v3
Alkemade, J. M., Mulder, M., Groot, J., Isaacs, B., van Berendonk, N., Lute, N., Isherwood, S. J. S., Bazin, P. L. E. A. & Forstmann, B. U. (3-6-2022). The Amsterdam Ultra-high field adult lifespan database (AHEAD): A freely available multimodal 7 Tesla submillimeter magnetic resonance imaging database. Universiteit van Amsterdam. https://doi.org/10.21942/uva.10007840.v2
Alkemade, A., Pine, K., Kirilina, E., Keuken, M. C., Mulder, M. J., Balesar, R., Groot, J. M., Bleys, R. L. A. W., Trampel, R., Weiskopf, N., Herrler, A., Möller, H. E., Bazin, P-L., & Forstmann, B. U. (2020). 7 Tesla MRI Followed by Histological 3D Reconstructions in Whole-Brain Specimens. Frontiers in Neuroanatomy, 14, [536838]. https://doi.org/10.3389/fnana.2020.536838[details]
Alkemade, J. M., Pine, K., Kirilina, E., Keuken, M., Mulder, M., Balesar, R., Groot, J., L. A. W. Bleys, R., Trampel, R., Weiskopf, N., Herrler, A., Möller, H., Bazin, P. & Forstmann, B. (14-9-2020). 7 Tesla MRI followed by histological 3D reconstructions in whole-brain specimens. Universiteit van Amsterdam. https://doi.org/10.21942/uva.12496853.v1
Archambeau, K., Forstmann, B., Van Maanen, L., & Gevers, W. (2020). Proactive interference in aging: A model-based study. Psychonomic Bulletin & Review, 27(1), 130-138. https://doi.org/10.3758/s13423-019-01671-0[details]
Bazin, P-L., Alkemade, A., Mulder, M. J., Henry, A. G., & Forstmann, B. U. (2020). Multi-contrast anatomical subcortical structures parcellation. eLife, 9, [e59430]. https://doi.org/10.7554/eLife.59430[details]
Bazin, P-L., Nijsse, H. E., van der Zwaag, W., Gallichan, D., Alkemade, A., Vos, F. M., Forstmann, B. U., & Caan, M. W. A. (2020). Sharpness in motion corrected quantitative imaging at 7T. NeuroImage, 222, [117227]. https://doi.org/10.1016/j.neuroimage.2020.117227[details]
Isaacs, B. R., Keuken, M. C., Alkemade, A., Temel, Y., Bazin, P. L., & Forstmann, B. U. (2020). Methodological Considerations for Neuroimaging in Deep Brain Stimulation of the Subthalamic Nucleus in Parkinson's Disease Patients. Journal of Clinical Medicine, 9(10), [3124]. https://doi.org/10.3390/jcm9103124[details]
Isaacs, B. R., Mulder, M. J., Groot, J. M., van Berendonk, N., Lute, N., Bazin, P-L., Forstmann, B. U., & Alkemade, A. (2020). 3 versus 7 Tesla magnetic resonance imaging for parcellations of subcortical brain structures in clinical settings. PLoS ONE, 15(11), [e0236208]. https://doi.org/10.1371/journal.pone.0236208[details]
Miletić, S., Bazin, P-L., Weiskopf, N., van der Zwaag, W., Forstmann, B. U., & Trampel, R. (2020). fMRI protocol optimization for simultaneously studying small subcortical and cortical areas at 7 T. NeuroImage, 219, [116992]. https://doi.org/10.1016/j.neuroimage.2020.116992[details]
van Wijk, B. C. M., Alkemade, A., & Forstmann, B. U. (2020). Functional segregation and integration within the human subthalamic nucleus from a micro- and meso-level perspective. Cortex, 131, 103-113. https://doi.org/10.1016/j.cortex.2020.07.004[details]
Alkemade, A., de Hollander, G., Miletic, S., Keuken, M. C., Balesar, R., de Boer, O., ... Forstmann, B. U. (2019). The functional microscopic neuroanatomy of the human subthalamic nucleus. Brain Structure and Function, 224(9), 3212-3227. https://doi.org/10.1007/s00429-019-01960-3[details]
Bazin, P-L., Alkemade, A., van der Zwaag, W., Caan, M., Mulder, M., & Forstmann, B. U. (2019). Denoising High-Field Multi-Dimensional MRI With Local Complex PCA. Frontiers in Neuroscience, 13, [1066]. https://doi.org/10.3389/fnins.2019.01066[details]
Bazin, P. L. E. A., Alkemade, A., van der Zwaag, W., Caan, M. W. A., Mulder, M. & Forstmann, B. (5-4-2019). Raw measurements for the statistics. Universiteit van Amsterdam. https://doi.org/10.21942/uva.7952270.v1
Boayue, N. M., Csifcsák, G., Aslaksen, P., Turi, Z., Antal, A., Groot, J., ... Mittner, M. (2019). Increasing propensity to mind-wander by transcranial direct current stimulation? A registered report. European Journal of Neuroscience. https://doi.org/10.1111/ejn.14347
Chambers, C. D., Forstmann, B., & Pruszynski, J. A. (2019). Science in flux: Registered reports and beyond at the European Journal of Neuroscience. European Journal of Neuroscience, 49(1), 4-5. https://doi.org/10.1111/ejn.14319[details]
Isaacs, B. R., Trutti, A. C., Pelzer, E., Tittgemeyer, M., Temel, Y., Forstmann, B. U., & Keuken, M. C. (2019). Cortico-basal white matter alterations occurring in Parkinson's disease. PLoS ONE, 14(8), [e0214343]. https://doi.org/10.1371/journal.pone.0214343[details]
Mulder, M. J., Keuken, M. C., Bazin, P-L., Alkemade, A., & Forstmann, B. U. (2019). Size and shape matter: The impact of voxel geometry on the identification of small nuclei. PLoS ONE, 14(4), [e0215382]. https://doi.org/10.1371/journal.pone.0215382[details]
Salzer, Y., de Hollander, G., van Maanen, L., & Forstmann, B. U. (2019). A neural substrate of early response capture during conflict tasks in sensory areas. Neuropsychologia, 124, 226-235. https://doi.org/10.1016/j.neuropsychologia.2018.12.009[details]
Turi, Z., Csifcsák, G., Boayue, N. M., Aslaksen, P., Antal, A., Paulus, W., Groot, J., Hawkins, G. E., Forstmann, B., Opitz, A., Thielscher, A., & Mittner, M. (2019). Blinding is compromised for transcranial direct current stimulation at 1 mA for 20 min in young healthy adults. European Journal of Neuroscience, 50(8), 3261-3268. https://doi.org/10.1111/ejn.14403[details]
Turner, B. M., Palestro, J. J., Miletić, S., & Forstmann, B. U. (2019). Advances in techniques for imposing reciprocity in brain-behavior relations. Neuroscience and Biobehavioral Reviews, 102, 327-336. https://doi.org/10.1016/j.neubiorev.2019.04.018[details]
Wisniewski, D., Forstmann, B., & Brass, M. (2019). Outcome contingency selectively affects the neural coding of outcomes but not of tasks. Scientific Reports, 9, [19395]. https://doi.org/10.1038/s41598-019-55887-0[details]
Alkemade, A., Groot, J. M., & Forstmann, B. U. (2018). Do We Need a Human post mortem Whole-Brain Anatomical Ground Truth in in vivo Magnetic Resonance Imaging? Frontiers in Neuroanatomy, 12, [110]. https://doi.org/10.3389/fnana.2018.00110[details]
Isaacs, B. R., Forstmann, B. U., Temel, Y., & Keuken, M. C. (2018). The Connectivity Fingerprint of the Human Frontal Cortex, Subthalamic Nucleus, and Striatum. Frontiers in Neuroanatomy, 12, [60]. https://doi.org/10.3389/fnana.2018.00060[details]
Keuken, M. C., Isaacs, B. R., Trampel, R., van der Zwaag, W., & Forstmann, B. U. (2018). Visualizing the Human Subcortex Using Ultra-high Field Magnetic Resonance Imaging. Brain Topography, 31(4), 513-545. https://doi.org/10.1007/s10548-018-0638-7[details]
Keuken, M. C., van Maanen, L., Boswijk, M., Forstmann, B. U., & Steyvers, M. (2018). Large scale structure-function mappings of the human subcortex. Scientific Reports, 8, [15854]. https://doi.org/10.1038/s41598-018-33796-y[details]
Sebastian, A., Forstmann, B. U., & Matzke, D. (2018). Towards a model-based cognitive neuroscience of stopping – a neuroimaging perspective. Neuroscience and Biobehavioral Reviews, 90, 130-136. https://doi.org/10.1016/j.neubiorev.2018.04.011[details]
Alkemade, A., de Hollander, G., Keuken, M. C., Schäfer, A., Ott, D. V. M., Schwarz, J., Weise, D., Kotz, S. A., & Forstmann, B. U. (2017). Comparison of T2* and QSM contrasts in Parkinson’s disease to visualize the STN with MRI. PLoS ONE, 12(4), [e0176130]. https://doi.org/10.1371/journal.pone.0176130[details]
Alkemade, A., Kotz, S. A., Ott, D. V. M., Keuken, M. C., Schwarz, J., Weise, D., Schäfer, A., Forstmann, B. U. & de Hollander, G. (2018). Data from: Comparison of T2*-weighted and QSM contrasts in Parkinson's disease to visualize the STN with MRI. DRYAD. https://doi.org/10.5061/dryad.t7kp7
Boekel, W., Forstmann, B. U., & Keuken, M. C. (2017). A test-retest reliability analysis of diffusion measures of white matter tracts relevant for cognitive control. Psychophysiology, 54(1), 24-33. https://doi.org/10.1111/psyp.12769[details]
Chambers, C. D., Forstmann, B., & Pruszynski, J. A. (2017). Registered reports at the European Journal of Neuroscience: consolidating and extending peer-reviewed study pre-registration. European Journal of Neuroscience, 45(5), 627-628. https://doi.org/10.1111/ejn.13519[details]
Forstmann, B. U., & Alkemade, A. (2017). The Neuroanatomy and Neurochemistry of Response Inhibition. In T. Egner (Ed.), The Wiley Handbook of Cognitive Control (pp. 274-291). Wiley Blackwell. https://doi.org/10.1002/9781118920497.ch16[details]
Forstmann, B. U., de Hollander, G., van Maanen, L., Alkemade, A., & Keuken, M. C. (2017). Towards a mechanistic understanding of the human subcortex. Nature Reviews Neuroscience, 18(1), 57-65. https://doi.org/10.1038/nrn.2016.163[details]
Hawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2017). On the efficiency of neurally-informed cognitive models to identify latent cognitive states. Journal of Mathematical Psychology, 76(Part B), 142-155. https://doi.org/10.1016/j.jmp.2016.06.007[details]
Keuken, M. C., Bazin, P-L., Backhouse, K., Beekhuizen, S., Himmer, L., Kandola, A., Lafeber, J. J., Prochazkova, L., Trutti, A., Schäfer, A., Turner, R., & Forstmann, B. U. (2017). Effects of aging on T1, T∗2, and QSM MRI values in the subcortex. Brain Structure and Function, 222(6), 2487-2505. https://doi.org/10.1007/s00429-016-1352-4[details]
Miletić, S., Turner, B. M., Forstmann, B. U., & van Maanen, L. (2017). Parameter recovery for the Leaky Competing Accumulator model. Journal of Mathematical Psychology, 76(A), 25-50. https://doi.org/10.1016/j.jmp.2016.12.001[details]
Mittner, M., Hawkins, G. E., Boekel, W., & Forstmann, B. U. (2017). Correction: A Neural Model of Mind Wandering. Trends in Cognitive Sciences, 21(6), 489. https://doi.org/10.1016/j.tics.2017.04.008
Salzer, Y., de Hollander, G., & Forstmann, B. U. (2017). Sensory neural pathways revisited to unravel the temporal dynamics of the Simon effect: A model-based cognitive neuroscience approach. Neuroscience and Biobehavioral Reviews, 77, 48-57. https://doi.org/10.1016/j.neubiorev.2017.02.023[details]
Tona, K-D., Keuken, M. C., de Rover, M., Lakke, E., Forstmann, B. U., Nieuwenhuis, S., & van Osch, M. J. P. (2017). In vivo visualization of the locus coeruleus in humans: Quantifying the test-retest reliability. Brain Structure and Function, 222(9), 4203-4217. https://doi.org/10.1007/s00429-017-1464-5[details]
Turner, B. M., Forstmann, B. U., Love, B. C., Palmeri, T. J., & Van Maanen, L. (2017). Approaches to analysis in model-based cognitive neuroscience. Journal of Mathematical Psychology, 76(B), 65-79. https://doi.org/10.1016/j.jmp.2016.01.001[details]
de Hollander, G., Keuken, M. C., van der Zwaag, W., Forstmann, B. U., & Trampel, R. (2017). Comparing Functional MRI Protocols for Small, Iron-Rich Basal Ganglia Nuclei Such as the Subthalamic Nucleus at 7 T and 3 T. Human Brain Mapping, 38(6), 3226-3248. https://doi.org/10.1002/hbm.23586[details]
Aron, A. R., Herz, D. M., Brown, P., Forstmann, B. U., & Zaghloul, K. (2016). Frontosubthalamic Circuits for Control of Action and Cognition. The Journal of Neuroscience, 36(45), 11489-11495. https://doi.org/10.1523/JNEUROSCI.2348-16.2016[details]
Boekel, W., Forstmann, B. U., & Wagenmakers, E-J. (2016). Challenges in replicating brain-behavior correlations: Rejoinder to Kanai (2015) and Muhlert and Ridgway (2015). Cortex, 74, 348-352. https://doi.org/10.1016/j.cortex.2015.06.018[details]
Keuken, M. C., Schäfer, A., & Forstmann, B. U. (2016). Can We Rely on Susceptibility-Weighted Imaging (SWI) for Subthalamic Nucleus Identification in Deep Brain Stimulation Surgery? Neurosurgery, 79(6), e945-e946. https://doi.org/10.1227/NEU.0000000000001395[details]
Visser, E., Keuken, M. C., Douaud, G., Gaura, V., Bachoud-Levi, A. C., Remy, P., ... Jenkinson, M. (2016). Automatic segmentation of the striatum and globus pallidus using MIST: Multimodal Image Segmentation Tool. NeuroImage, 125, 479-497. https://doi.org/10.1016/j.neuroimage.2015.10.013[details]
Visser, E., Keuken, M. C., Forstmann, B. U., & Jenkinson, M. (2016). Automated segmentation of the substantia nigra, subthalamic nucleus and red nucleus in 7T data at young and old age. NeuroImage, 139, 324-336. https://doi.org/10.1016/j.neuroimage.2016.06.039[details]
Winkel, J., Hawkins, G. E., Ivry, R. B., Brown, S. D., Cools, R., & Forstmann, B. U. (2016). Focal striatum lesions impair cautiousness in humans. Cortex, 85, 37-45. https://doi.org/10.1016/j.cortex.2016.09.023[details]
de Hollander, G., Forstmann, B. U., & Brown, S. D. (2016). Different Ways of Linking Behavioral and Neural Data via Computational Cognitive Models. Biological psychiatry. Cognitive neuroscience and neuroimaging, 1(2), 101-109. https://doi.org/10.1016/j.bpsc.2015.11.004[details]
de Hollander, G., Labruna, L., Sellaro, R., Trutti, A., Colzato, L. S., Ratcliff, R., Ivry, R. B., & Forstmann, B. U. (2016). Transcranial Direct Current Stimulation Does Not Influence the Speed-Accuracy Tradeoff in Perceptual Decision-making: Evidence from Three Independent Studies. Journal of Cognitive Neuroscience, 28(9), 1283-1294. https://doi.org/10.1162/jocn_a_00967[details]
van Maanen, L., Forstmann, B. U., Keuken, M. C., Wagenmakers, E-J., & Heathcote, A. (2016). The impact of MRI scanner environment on perceptual decision-making. Behavior Research Methods, 48(1), 184-200. https://doi.org/10.3758/s13428-015-0563-6[details]
Alkemade, A., Schnitzler, A., & Forstmann, B. U. (2015). Topographic organization of the human and non-human primate subthalamic nucleus. Brain Structure and Function, 220(6), 3075-3086. https://doi.org/10.1007/s00429-015-1047-2[details]
Boekel, W., Wagenmakers, E-J., Belay, L., Verhagen, J., Brown, S., & Forstmann, B. U. (2015). A purely confirmatory replication study of structural brain-behavior correlations. Cortex, 66, 115-133. https://doi.org/10.1016/j.cortex.2014.11.019[details]
Boonstra, E., de Kleijn, R., Colzato, L. S., Alkemade, A., Forstmann, B. U., & Nieuwenhuis, S. (2015). Neurotransmitters as food supplements: the effects of GABA on brain and behavior. Frontiers in Psychology, 6, [1520]. https://doi.org/10.3389/fpsyg.2015.01520[details]
Forstmann, B. U., & Wagenmakers, E-J. (2015). Model-based cognitive neuroscience: a conceptual introduction. In B. U. Forstmann, & E-J. Wagenmakers (Eds.), An introduction to model-based cognitive neuroscience (pp. 139-156). Springer. https://doi.org/10.1007/978-1-4939-2236-9_7[details]
Forstmann, B. U., & Wagenmakers, E-J. (2015). Preface. In B. U. Forstmann, & E-J. Wagenmakers (Eds.), An introduction to model-based cognitive neuroscience (pp. v-vi). Springer. https://doi.org/10.1007/978-1-4939-2236-9[details]
Forstmann, B. U., Keuken, M. C., & Alkemade, A. (2015). An introduction to human brain anatomy. In B. U. Forstmann, & E-J. Wagenmakers (Eds.), An introduction to model-based cognitive neuroscience (pp. 71-89). Springer. https://doi.org/10.1007/978-1-4939-2236-9_4[details]
Hawkins, G. E., Forstmann, B. U., Wagenmakers, E-J., Ratcliff, R., & Brown, S. D. (2015). Revisiting the evidence of collapsing boundaries and urgency signals in perceptual decision-making. The Journal of Neuroscience, 35(6), 2476-2484. https://doi.org/10.1523/JNEUROSCI.2410-14.2015[details]
Karayanidis, F., Keuken, M. C., Wong, A., Rennie, J. L., de Hollander, G., Cooper, P. S., Fulham, W. R., Lenroot, R., Parsons, M., Philips, N., Michie, P. T., & Forstmann, B. U. (2015). The Age-ility Project (Phase 1): Structural and functional imaging and electrophysiological data repository. NeuroImage, 124(B), 1137-1142. https://doi.org/10.1016/j.neuroimage.2015.04.047[details]
Keuken, M. C., van Maanen, L., Bogacz, R., Schäfer, A., Neumann, J., Turner, R., & Forstmann, B. U. (2015). The subthalamic nucleus during decision-making with multiple alternatives. Human Brain Mapping, 36(10), 4041-4052. https://doi.org/10.1002/hbm.22896[details]
Turner, B. M., van Maanen, L., & Forstmann, B. U. (2015). Informing cognitive abstractions through neuroimaging: the neural drift diffusion model. Psychological Review, 122(2), 312-336. https://doi.org/10.1037/a0038894[details]
Weiss, M., Alkemade, A., Keuken, M. C., Müller-Axt, C., Geyer, S., Turner, R., & Forstmann, B. U. (2015). Spatial normalization of ultrahigh resolution 7 T magnetic resonance imaging data of the postmortem human subthalamic nucleus: a multistage approach. Brain Structure and Function, 220(3), 1695-1703. https://doi.org/10.1007/s00429-014-0754-4[details]
de Hollander, G., Keuken, M. C., & Forstmann, B. U. (2015). The subcortical cocktail problem; mixed signals from the subthalamic nucleus and substantia nigra. PLoS ONE, 10(3), [e0120572]. https://doi.org/10.1371/journal.pone.0120572[details]
van Maanen, L., Turner, B., & Forstmann, B. U. (2015). From model-based perceptual decision-making to spatial interference control. Current Opinion in Behavioral Sciences, 1, 72-77. https://doi.org/10.1016/j.cobeha.2014.10.010[details]
Boehm, U., van Maanen, L., Forstmann, B., & van Rijn, H. (2014). Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustment of response caution. NeuroImage, 96, 95-105. https://doi.org/10.1016/j.neuroimage.2014.03.063[details]
Forstmann, B. U., Keuken, M. C., Schafer, A., Bazin, P-L., Alkemade, A., & Turner, R. (2014). Multi-modal ultra-high resolution structural 7-Tesla MRI data repository. Scientific Data, 1, [140050]. https://doi.org/10.1038/sdata.2014.50[details]
Forstmann, B., Keuken, M., Schafer, A., Bazin, P.-L., Alkemade, A. & Turner, R. (2021). Data from: Multi-modal ultra-high resolution structural 7-Tesla MRI data repository. DRYAD. https://doi.org/10.5061/dryad.fb41s
Keuken, M. C., Bazin, P-L., Crown, L., Hootsmans, J., Laufer, A., Müller-Axt, C., Sier, R., van der Putten, E. J., Schäfer, A., Turner, R., & Forstmann, B. U. (2014). Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI. NeuroImage, 94(1), 40-46. https://doi.org/10.1016/j.neuroimage.2014.03.032[details]
Keuken, M. C., Müller-Axt, C., Langner, R., Eickhoff, S. B., Forstmann, B. U., & Neumann, J. (2014). Brain networks of perceptual decision-making: an fMRI ALE meta-analysis. Frontiers in Human Neuroscience, 8, [445]. https://doi.org/10.3389/fnhum.2014.00445[details]
Mittner, M., Boekel, W., Tucker, A. M., Turner, B. M., Heathcote, A., & Forstmann, B. U. (2014). When the brain takes a break: A model-based analysis of mind wandering. The Journal of Neuroscience, 34(49), 16286-16295. https://doi.org/10.1523/JNEUROSCI.2062-14.2014[details]
Mulder, M. J., Boekel, W., Ratcliff, R., & Forstmann, B. U. (2014). Cortico-subthalamic connection predicts individual differences in value-driven choice bias. Brain Structure and Function, 219(4), 1239-1249. https://doi.org/10.1007/s00429-013-0561-3[details]
Winkel, J., Keuken, M. C., van Maanen, L., Wagenmakers, E. J., & Forstmann, B. U. (2014). Early evidence affects later decisions: Why evidence accumulation is required to explain response time data. Psychonomic Bulletin & Review, 21(3), 777-784. https://doi.org/10.3758/s13423-013-0551-8[details]
de Hollander, G., Keuken, M. C., Bazin, P-L., Weiss, M., Neumann, J., Reimann, K., Wähnert, M., Turner, R., Forstmann, B. U., & Schäfer, A. (2014). A gradual increase of iron toward the medial‐inferior tip of the subthalamic nucleus. Human Brain Mapping, 35(9), 4440-4449. https://doi.org/10.1002/hbm.22485[details]
de Hollander, G., Wagenmakers, E-J., Waldorp, L., & Forstmann, B. (2014). An antidote to the imager's fallacy, or how to identify brain areas that are in limbo. PLoS ONE, 9(12), [e115700]. https://doi.org/10.1371/journal.pone.0115700[details]
van Ravenzwaaij, D., Boekel, W., Forstmann, B. U., Ratcliff, R., & Wagenmakers, E-J. (2014). Action video games do not improve the speed of information processing in simple perceptual tasks. Journal of Experimental Psychology. General, 143(5), 1794-1805. https://doi.org/10.1037/a0036923[details]
2013
Alkemade, A., Keuken, M. C., & Forstmann, B. U. (2013). A perspective on terra incognita: uncovering the neuroanatomy of the human subcortex. Frontiers in Neuroanatomy, 7, [40]. https://doi.org/10.3389/fnana.2013.00040[details]
Dutilh, G., Forstmann, B., Vandekerckhove, J., & Wagenmakers, E-J. (2013). A diffusion model account of age differences in post-error slowing. Psychology and Aging, 28(1), 64-76. https://doi.org/10.1037/a0029875[details]
Keuken, M. C., Bazin, P-L., Schäfer, A., Neumann, J., Turner, R., & Forstmann, B. U. (2013). Ultra-high 7T MRI of structural age-related changes of the subthalamic nucleus. The Journal of Neuroscience, 33(11), 4896-4900. https://doi.org/10.1523/JNEUROSCI.3241-12.2013[details]
Mulder, M. J., Keuken, M. C., van Maanen, L., Boekel, W. E., Forstmann, B. U., & Wagenmakers, E. J. (2013). The speed and accuracy of perceptual decisions in a random-tone pitch task. Attention, Perception & Psychophysics, 75(5), 1048-1058. https://doi.org/10.3758/s13414-013-0447-8[details]
Turner, B. M., Forstmann, B. U., Wagenmakers, E-J., Brown, S. D., Sederberg, P. B., & Steyvers, M. (2013). A Bayesian framework for simultaneously modeling neural and behavioral data. NeuroImage, 72, 193-206. https://doi.org/10.1016/j.neuroimage.2013.01.048[details]
2012
Dutilh, G., Vandekerckhove, J., Forstmann, B. U., Keuleers, E., Brysbaert, M., & Wagenmakers, E-J. (2012). Testing theories of post-error slowing. Attention, Perception & Psychophysics, 74(2), 454-465. https://doi.org/10.3758/s13414-011-0243-2[details]
Dutilh, G., van Ravenzwaaij, D., Nieuwenhuis, S., van der Maas, H. L. J., Forstmann, B. U., & Wagenmakers, E-J. (2012). How to measure post-error slowing: A confound and a simple solution. Journal of Mathematical Psychology, 56(3), 208-216. https://doi.org/10.1016/j.jmp.2012.04.001[details]
Forstmann, B. U., Keuken, M. C., Jahfari, S., Bazin, P-L., Neumann, J., Schäfer, A., Anwander, A., & Turner, R. (2012). Cortico-subthalamic white matter tract strength predicts interindividual efficacy in stopping a motor response. NeuroImage, 60(1), 370-375. https://doi.org/10.1016/j.neuroimage.2011.12.044[details]
Ho, T., Brown, S., van Maanen, L., Forstmann, B. U., Wagenmakers, E-J., & Serences, J. T. (2012). The optimality of sensory processing during the speed-accuracy tradeoff. The Journal of Neuroscience, 32(23), 7992-8003. https://doi.org/10.1523/JNEUROSCI.0340-12.2012[details]
Jahfari, S., Verbruggen, F., Frank, M. J., Waldorp, L. J., Colzato, L., Ridderinkhof, K. R., & Forstmann, B. U. (2012). How preparation changes the need for top-down control of the basal ganglia when inhibiting premature actions. The Journal of Neuroscience, 32(32), 10870-10878. https://doi.org/10.1523/JNEUROSCI.0902-12.2012[details]
Keuken, M. C., Uylings, H. B. M., Geyer, S., Schäfer, A., Turner, R., & Forstmann, B. U. (2012). Are there three subdivisions in the primate subthalamic nucleus? Frontiers in Neuroanatomy, 6, [14]. https://doi.org/10.3389/fnana.2012.00014[details]
Mulder, M. J., Wagenmakers, E-J., Ratcliff, R., Boekel, W., & Forstmann, B. U. (2012). Bias in the brain: A diffusion model analysis of prior probability and potential payoff. The Journal of Neuroscience, 32(7), 2335-2343. https://doi.org/10.1523/JNEUROSCI.4156-11.2012[details]
Schäfer, A., Forstmann, B. U., Neumann, J., Wharton, S., Mietke, A., Bowtell, R., & Turner, R. (2012). Direct visualization of the subthalamic nucleus and its iron distribution using high-resolution susceptibility mapping. Human Brain Mapping, 33(12), 2831-2842. https://doi.org/10.1002/hbm.21404[details]
Winkel, J., Wijnen, J. G., Danielmeijer, C., Groen, I. I. A., Derfuss, J., Ridderinkhof, K. R., & Forstmann, B. U. (2012). Observed and self-experienced conflict induce similar behavioral and neural adaptation. Social Neuroscience, 7(4), 385-397. https://doi.org/10.1080/17470919.2011.628760[details]
Winkel, J., van Maanen, L., Ratcliff, R., van der Schaaf, M. E., van Schouwenburg, M. R., Cools, R., & Forstmann, B. U. (2012). Bromocriptine does not alter speed-accuracy tradeoff. Frontiers in Neuroscience, 6, [126]. https://doi.org/10.3389/fnins.2012.00126[details]
van Maanen, L., Grasman, R. P. P. P., Forstmann, B. U., & Wagenmakers, E-J. (2012). Piéron's law and optimal behavior in perceptual decision-making. Frontiers in Neuroscience, 5, [143]. https://doi.org/10.3389/fnins.2011.00143[details]
van Maanen, L., Grasman, R. P. P. P., Forstmann, B. U., Keuken, M. C., Brown, S. D., & Wagenmakers, E-J. (2012). Similarity and number of alternatives in the random-dot motion paradigm. Attention, Perception & Psychophysics, 74(4), 739-753. https://doi.org/10.3758/s13414-011-0267-7[details]
2011
Danielmeier, C., Eichele, T., Forstmann, B. U., Tittgemeyer, M., & Ullsperger, M. (2011). Posterior medial frontal cortex activity predicts post-error adaptations in task-related visual and motor areas. The Journal of Neuroscience, 31(5), 1780-1789. https://doi.org/10.1523/JNEUROSCI.4299-10.2011[details]
Forstmann, B. U., Tittgemeyer, M., Wagenmakers, E. J., Derrfuss, J., Imperati, D., & Brown, S. (2011). The speed-accuracy tradeoff in the elderly brain: a structural model-based approach. The Journal of Neuroscience, 31(47), 17242-17249. https://doi.org/10.1523/JNEUROSCI.0309-11.2011[details]
Forstmann, B. U., Wagenmakers, E-J., Eichele, T., Brown, S., & Serences, J. T. (2011). Reciprocal relations between cognitive neuroscience and formal cognitive models: opposites attract? Trends in Cognitive Sciences, 15(6), 272-279. https://doi.org/10.1016/j.tics.2011.04.002[details]
Harsay, H. A., Cohen, M. X., Oosterhof, N. N., Forstmann, B. U., Mars, R. B., & Ridderinkhof, K. R. (2011). Functional connectivity of the striatum links motivation to action control in humans. The Journal of Neuroscience, 31(29), 10701-10711. https://doi.org/10.1523/JNEUROSCI.5415-10.2011[details]
Jahfari, S., Waldorp, L., van den Wildenberg, W. P. M., Scholte, H. S., Ridderinkhof, K. R., & Forstmann, B. U. (2011). Effective connectivity reveals important roles for both the hyperdirect (fronto-subthalamic) and indirect (fronto-striatal-pallidal) fronto-basal ganglia pathways during response inhibition. The Journal of Neuroscience, 31(18), 6891-6899. https://doi.org/10.1523/JNEUROSCI.5253-10.2011[details]
Krypotos, A. M., Jahfari, S., van Ast, V. A., Kindt, M., & Forstmann, B. U. (2011). Individual differences in heart rate variability predict the degree of slowing during response inhibition and initiation in the presence of emotional stimuli. Frontiers in Psychology, 2, [278]. https://doi.org/10.3389/fpsyg.2011.00278[details]
Mansfield, E. L., Karayanidis, F., Jamadar, S., Heathcote, A., & Forstmann, B. U. (2011). Adjustments of response threshold during task switching: a model-based functional magnetic resonance imaging study. The Journal of Neuroscience, 31(41), 14688-14692. https://doi.org/10.1523/JNEUROSCI.2390-11.2011[details]
Nieuwenhuis, S., Forstmann, B. U., & Wagenmakers, E-J. (2011). Erroneous analyses of interactions in neuroscience: a problem of significance. Nature Neuroscience, 14(9), 1105-1107. https://doi.org/10.1038/nn.2886[details]
Ridderinkhof, K. R., Forstmann, B. U., Wylie, S. A., Burle, B., & van den Wildenberg, W. P. M. (2011). Neurocognitive mechanisms of action control: resisting the call of the sirens. Wiley Interdisciplinary Reviews. Cognitive Science, 2(2), 174-192. https://doi.org/10.1002/wcs.99[details]
van Maanen, L., Brown, S. D., Eichele, T., Wagenmakers, E-J., Ho, T., Serences, J., & Forstmann, B. U. (2011). Neural correlates of trial-to-trial fluctuations in response caution. The Journal of Neuroscience, 31(48), 17488-17495. https://doi.org/10.1523/JNEUROSCI.2924-11.2011[details]
2010
Bogacz, R., Wagenmakers, E. J., Forstmann, B. U., & Nieuwenhuis, S. (2010). The neural basis of the speed-accuracy tradeoff. Trends in Neurosciences, 33(1), 10-16. https://doi.org/10.1016/j.tins.2009.09.002[details]
Forstmann, B. U., Anwander, A., Schäfer, A., Neumann, J., Brown, S., Wagenmakers, E. M., ... Turner, R. (2010). Cortico-striatal connections predict control over speed and accuracy in perceptual decision making. Proceedings of the National Academy of Sciences of the United States of America, 107(36), 15916-15920. https://doi.org/10.1073/pnas.1004932107[details]
Forstmann, B. U., Brown, S., Dutilh, G., Neumann, J., & Wagenmakers, E-J. (2010). The neural substrate of prior information in perceptual decision making: a model-based analysis. Frontiers in Human Neuroscience, 4, [40]. https://doi.org/10.3389/fnhum.2010.00040[details]
Karayanidis, F., Jamadar, S., Ruge, H., Phillips, N., Heathcote, A., & Forstmann, B. U. (2010). Advance preparation in task-switching: converging evidence from behavioral, brain activation and model-based approaches. Frontiers in Psychology, 1, 25. [25]. https://doi.org/10.3389/fpsyg.2010.00025[details]
van den Wildenberg, W. P. M., Wylie, S. A., Forstmann, B. U., Burle, B., Hasbroucq, T., & Ridderinkhof, K. R. (2010). To head or to heed? Beyond the surface of selective action inhibition: a review. Frontiers in Human Neuroscience, 4, [222]. https://doi.org/10.3389/fnhum.2010.00222[details]
Winkel, J., Wijnen, J. G., Ridderinkhof, K. R., Groen, I. I. A., Derrfuss, J., Danielmeier, C., & Forstmann, B. U. (2009). Your conflict matters to me! Behavioral and neural manifestations of control adjustment after self-experienced and observed decision-conflict. Frontiers in Human Neuroscience, 3, [57]. https://doi.org/10.3389/neuro.09.057.2009[details]
Forstmann, B. U., Dutilh, G., Brown, S., Neumann, J., von Cramon, D. Y., Ridderinkhof, K. R., & Wagenmakers, E-J. (2008). Striatum and pre-SMA facilitate decision-making under time pressure. Proceedings of the National Academy of Sciences of the United States of America, 105(45), 17538-17542. https://doi.org/10.1073/pnas.0805903105[details]
Forstmann, B. U., Jahfari, S., Scholte, H. S., Wolfensteller, U., van den Wildenberg, W. P. M., & Ridderinkhof, K. R. (2008). Function and structure of the right inferior frontal cortex predict individual differences in response inhibition: a model-based approach. The Journal of Neuroscience, 28(39), 9790-9796. https://doi.org/10.1523/JNEUROSCI.1465-08.2008[details]
Forstmann, B. U., Wolfensteller, U., Derrfuss, J., Neumann, J., Brass, M., Ridderinkhof, K. R., & von Cramon, D. Y. (2008). When the choice is ours: Context and agency modulate the neural bases of decision-making. PLoS ONE, 3(4), [e1899]. https://doi.org/10.1371/journal.pone.0001899[details]
Forstmann, B. U., van den Wildenberg, W. P. M., & Ridderinkhof, K. R. (2008). Neural mechanisms, temporal dynamics, and individual differences in interference control. Journal of Cognitive Neuroscience, 20(10), 1854-1865. https://doi.org/10.1162/jocn.2008.20122[details]
Csifcsák, G., Boayue, N. M., Aslaksen, P. M., Turi, Z., Antal, A., Groot, J., ... Mittner, M. (2019). Commentary: Transcranial stimulation of the frontal lobes increases propensity of mind-wandering without changing meta-awareness. Frontiers in Psychology, 10, [130]. https://doi.org/10.3389/fpsyg.2019.00130[details]
Ly, A., Böhm, U., Heathcote, A., Turner, B. M., Forstmann, B., Marsman, M., & Matzke, D. (2018). A flexible and efficient hierarchical Bayesian approach to the exploration of individual differences in cognitive-model-based neuroscience. In A. A. Moustafa (Ed.), Computational Models of Brain and Behavior (pp. 467-480). Wiley Blackwell. https://doi.org/10.1002/9781119159193.ch34[details]
Keuken, M. C., Ly, A., Boekel, W., Wagenmakers, E-M., Belay, L., Verhagen, J., Brown, S. D., & Forstmann, B. U. (2017). Corrigendum to “A purely confirmatory replication study of structural brain-behavior correlations” [Cortex 66 (2015) 115–133]. Cortex, 93, 229-233. https://doi.org/10.1016/j.cortex.2017.03.007[details]
Keuken, M. C., Müller-Axt, C., Langner, R., Eickhoff, S. B., Forstmann, B. U., & Neumann, J. (2017). Corrigendum: Brain networks of perceptual decision-making: an fMRI ALE meta-analysis. Frontiers in Human Neuroscience, 11, [139]. https://doi.org/10.3389/fnhum.2017.00139
Ridderinkhof, K. R., Cohen, M. X., & Forstmann, B. U. (2011). Motivational modulation of action control: how interindividual variability may shed light on the motivation-control interface and its neurocognitive mechanisms. In R. B. Mars, J. Sallet, M. F. S. Rushworth, & N. Yeung (Eds.), Neural basis of motivational and cognitive control (pp. 243-262). Cambridge, MA: MIT Press. [details]
Prize / grant
Forstmann, B. (2019). Ammodo Award.
Forstmann, B. U. (2018). VICI grant “The brain at depth: A model-based cognitive neuroscience approach to the human subcortex” was awarded a five-year 1,500,000 E.
Forstmann, B. U. (2018). ERC Proof of concept beurs The project “ATLAS: Atlas for deep brain stimulation” 150kE.
van Maanen, L. & Forstmann, B. U. (2015). VolkswagenStiftung grant.
Forstmann, B. U. (2014). The project ‘Ultra-high resolution 7T fMRI of the midbrain’ was awarded a one-year € 35,000 grant from the Amsterdam Center for Brain & Cognition..
Forstmann, B. U. (2013). The project 'Subdivisions of the Subthalamic Nucleus' was awarded a two-year €35.000,- grant.
Forstmann, B. U. (2012). The project "Speeded Decision-Making in the Basal Ganglia: An Integrative Model- Based Approach" was awarded a five-year € 1,500,000 Starting Grant from the European Research Council.
Forstmann, B. U. (2012). Inaugural recipient of the Newcastle Psychology Research Visitor Fellowship, AUD $5,000..
Forstmann, B. U. (2012). The project "When the Brain Takes a Break: A Model-Based Cognitive Neuroscience Account of Task-Unrelated Thoughts" was awarded a five-year € 800,000 "Vidi" grant from the Netherlands Organisation for Scientific Research (NWO)..
Forstmann, B. U. (2010). NWO ALW Open Competition grant together with E.-J. Wagenmakers (UvA), S. Nieuwenhuis (University of Leiden), R. Bogacz (University of Bristol), S. Brown (University of Newcastle), J. Serences (UCSD), and H. van der Maas (UvA).
Membership / relevant position
Forstmann, B. U. (2018-2020). Member of the Wellcome’s Cognitive Neuroscience and Mental Health Expert Review Group (ERG). .
Forstmann, B. U. (2017-2020). Member of the organizing committee for the ICON XIV meeting in Helsinki, Finland..
Forstmann, B. U. (2015-2020). Member of the organizing committee for the NVP meeting in Egmond aan Zee, the Netherlands. , NVP meeting Egmond aan Zee.
Forstmann, B. U. (2015-2020). Member of the Young Academy of Europe (YAE)., Young Academy of Europe (YAE). .
Forstmann, B. U. (2014-2020). Member of the advisory committee for the inaugural Cognitive Computational Neuroscience (CCN) meeting in New York, USA, 2017.
Forstmann, B. U. (2010-2020). Spinoza Centre Amsterdam.
Forstmann, B. U. (2010). Organizer of the Mini-Symposium ‘Model-Based Neuroimaging and Decision Neuroscience’ at the Society for Neuroscience (SfN) Conference,, Society for Neuroscience (SfN), San Diego, USA.
Journal editor
Forstmann, B. U. (editor) (2017-2020). NeuroImage (Journal).
Forstmann, B. U. (editor) (2016-2020). European Journal of Neuroscience (Journal).
Forstmann, B. U. (editor) (2015-2020). Cognitive, Affective, and Behavioral Neuroscience (CABN). (Journal).
Forstmann, B. U. (editor) (2014). Cognitive Affective & Behavioral Neuroscience (Journal).
Talk / presentation
Forstmann, B. U. (invited speaker) (15-11-2014). Model-based cognitive neurosciences, Invited keynote lecture at the opening ceremony of the Mind, Taiwan, November 2014.
Forstmann, B. U. (invited speaker) (1-7-2014). Functional and structural role of the human subcortex, Invited keynote lecture at the 12th International Cognitive Neuroscience Conference (ICON), Brisbane, Australia.
Others
Forstmann, B. (organiser), Matzke, D. (organiser), Heathcote, A. (organiser), Innes, R. (organiser) & Stevenson, N. (organiser) (1-8-2022 - 5-8-2022). Model-based Neuroscience Summer School (organising a conference, workshop, ...).
Forstmann, B. (organiser), Matzke, D. (organiser), Heathcote, A. (organiser), Miletić, S. (organiser) & Bazin, P.-L. (organiser) (5-8-2019 - 14-8-2019). Model-based Neuroscience Summer School and Brainhack (organising a conference, workshop, ...).
Forstmann, B. U. (organiser), Matzke, D. (organiser), van Maanen, L. (organiser) & Heathcote, A. (organiser) (30-7-2018 - 3-8-2018). Model-based Neuroscience Summer School (organising a conference, workshop, ...).
Forstmann, B. U. (participant) (2018). PhD committee member Michelle Colombo (Amsterdam University, NL) (other).
Forstmann, B. U. (participant) (2018). PhD committee member 2018 Lauretta Dekkers (Amsterdam University, NL) (other).
Forstmann, B. U. (participant) (2018). PhD committee member Yoshiuki Onuki (Rotterdam University, NL) (other).
Forstmann, B. U. (participant) (2018). Mentor in the career development program of the University of Amsterdam, the Netherlands. (other).
Forstmann, B. U. (participant) (2018). Mentor in the career development program of Bergen University, Norway (other).
Forstmann, B. U. (organiser), Matzke, D. (organiser), Heathcote, A. (organiser), Hawkins, G. E. (organiser), van Maanen, L. (organiser) & de Hollander, G. (organiser) (31-7-2017 - 4-8-2017). Model-based Neuroscience Summer School (organising a conference, workshop, ...). http://(http://www.modelbasedneuroscience.c om/index.html
Forstmann, B. U. (participant) (2017 - 2020). Advisory council member of the International Association for the Study of Attention and Performance (other).
Forstmann, B. U. (participant) (2016 - 2020). Referee invited by the Weston Brain Institute, Canada (other).
Forstmann, B. U. (participant) (2016 - 2020). Referee invited by Parkinson’s UK (other).
van Maanen, L. (organiser) & Forstmann, B. U. (organiser) (1-6-2015 - 5-6-2015). International Summerschool Model-based Neuroscience., Amsterdam (organising a conference, workshop, ...).
Forstmann, B. U. (participant) (2015 - 2020). Referee invited by the Australian Research Council (ARC). (other).
Forstmann, B. U. (participant) (2015 - 2020). Referee invited by the European Research Council (ERC). (other).
Forstmann, B. U. (participant) (2014 - 2020). summer school “Model-based cognitive neuroscience” at the University of Amsterdam, the Netherlands. (organising a conference, workshop, ...).
Wagenmakers, E.-J. (organiser) & Forstmann, B. U. (organiser) (2012). Organisation of the Academy Colloquium "New Insights from Model-Based Cognitive Neuroscience", Amsterdam (organising a conference, workshop, ...).
2017
Boekel, W. E. (2017). On the importance of replicating research findings. [details]
Bazin, P. L. E. A., Forstmann, B. U., Alkemade, J. M., Miletić, S. & Isherwood, S. J. S. (8-7-2023). AHEAD quantitative MRI templates (MNI2009b). Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646364.v3
Isherwood, S. J. S., Bazin, P. L. E. A., Miletić, S., Stevenson, N. R., Trutti, A., H. Y. Tse, D., Heathcote, A., Matzke, D., Habli, S., Sokołowski, D. R., Alkemade, A., Håberg, A., Forstmann, B. & Innes, R. (8-6-2023). Investigating Intra-Individual Networks of Response Inhibition and Interference Resolution using 7T MRI data. Universiteit van Amsterdam. https://doi.org/10.21942/uva.22240393.v1
2022
Miletić, S., Keuken, M. C., Mulder, M., Trampel, R., de Hollander, G. & Forstmann, B. (28-6-2022). 7T functional MRI finds no evidence for distinct functional subregions in the subthalamic nucleus during a speeded decision-making task. Universiteit van Amsterdam. https://doi.org/10.21942/uva.20160598.v1
Bazin, P. L. E. A., Forstmann, B. U. & Alkemade, A. (14-6-2022). Ahead brain 122017 - 3D reconstructions. Universiteit van Amsterdam. https://doi.org/10.21942/uva.16834114.v2
Bazin, P. L. E. A., Forstmann, B. U. & Alkemade, A. (14-6-2022). Ahead Brain 152017 - 3D reconstructions. Universiteit van Amsterdam. https://doi.org/10.21942/uva.14260064.v2
Bazin, P. L. E. A., Forstmann, B. U. & Alkemade, A. (14-6-2022). Ahead Brain 152017 - Automated parcellations. Universiteit van Amsterdam. https://doi.org/10.21942/uva.14260079.v2
Alkemade, J. M., Mulder, M., Groot, J., Isaacs, B., van Berendonk, N., Lute, N., Isherwood, S. J. S., Bazin, P. L. E. A. & Forstmann, B. U. (3-6-2022). The Amsterdam Ultra-high field adult lifespan database (AHEAD): A freely available multimodal 7 Tesla submillimeter magnetic resonance imaging database. Universiteit van Amsterdam. https://doi.org/10.21942/uva.10007840.v2
Bazin, P. L. E. A., Forstmann, B. U., Alkemade, J. M., Miletić, S. & Isherwood, S. J. S. (9-5-2022). MASSP 2021 Middle-aged Probabilistic Atlas. Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646334.v1
Bazin, P. L. E. A., Forstmann, B. U., Alkemade, J. M., Miletić, S. & Isherwood, S. J. S. (9-5-2022). MASSP 2021 Younger Probabilistic Atlas. Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646328.v1
Bazin, P. L. E. A., Forstmann, B. U., Alkemade, J. M., Miletić, S. & Isherwood, S. J. S. (9-5-2022). MASSP 2021 Older Probabilistic Atlas. Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646346.v1
Bazin, P. L. E. A., Forstmann, B. U., Alkemade, J. M., Miletić, S. & Isherwood, S. J. S. (9-5-2022). MASSP 2021 Lifespan Probabilistic Atlas. Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646313.v1
Bazin, P. L. E. A., Forstmann, B. U. & Alkemade, A. (4-3-2022). Ahead Brain 122017 - MNI coregistrations. Universiteit van Amsterdam. https://doi.org/10.21942/uva.16834186.v1
Bazin, P. L. E. A., Forstmann, B. U. & Alkemade, A. (4-3-2022). Ahead Brain 152017 - Original stains. Universiteit van Amsterdam. https://doi.org/10.21942/uva.16843039.v1
Bazin, P. L. E. A., Forstmann, B. U. & Alkemade, A. (4-3-2022). Ahead Brain 122017 - Automated parcellations. Universiteit van Amsterdam. https://doi.org/10.21942/uva.16834159.v1
Bazin, P. L. E. A., Forstmann, B. U. & Alkemade, A. (4-3-2022). Ahead Brain 122017 - Original stains. Universiteit van Amsterdam. https://doi.org/10.21942/uva.16844500.v1
Bazin, P. L. E. A., Forstmann, B. U. & Alkemade, A. (4-3-2022). Ahead brain 152017 - MNI coregistrations. Universiteit van Amsterdam. https://doi.org/10.21942/uva.14260088.v1
Bazin, P. L. E. A., Forstmann, B. & Alkemade, A. (2022). Ahead Brain 152017 - Automated parcellations. Universiteit van Amsterdam. https://doi.org/10.21942/uva.14260079.v1
Bazin, P. L. E. A., Forstmann, B., Alkemade, A., Miletić, S. & Isherwood, S. (2022). AHEAD quantitative MRI templates (MNI2009b). Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646364.v1
2021
Keuken, M., Liebrand, L., Bazin, P., Alkemade, A., van Berendonk, N., Groot, J., Isherwood, S., Kemp, S., Lute, N., Mulder, M., Trutti, A., Caan, M. W. A. & Forstmann, B. (28-10-2021). A high-resolution multi-shell 3T diffusion magnetic resonance imaging dataset as part of the Amsterdam Ultra-high field adult lifespan database (AHEAD) - dataset. Universiteit van Amsterdam. https://doi.org/10.21942/uva.16884703.v1
Alkemade, J. M., Mulder, M. J., Trutti, A. C. & Forstmann, B. U. (16-3-2021). Manual Delineation approaches for direct imaging of the subcortex. Universiteit van Amsterdam. https://doi.org/10.21942/uva.14216504.v2
Forstmann, B., Keuken, M., Schafer, A., Bazin, P.-L., Alkemade, A. & Turner, R. (2021). Data from: Multi-modal ultra-high resolution structural 7-Tesla MRI data repository. DRYAD. https://doi.org/10.5061/dryad.fb41s
2020
Miletić, S., Keuken, M., Mulder, M., Trampel, R., de Hollander, G. & Forstmann, B. (11-12-2020). No evidence for three functionally specialized subdivisions in the subthalamic nucleus. Universiteit van Amsterdam. https://doi.org/10.21942/uva.13347433.v1
Alkemade, J. M., Pine, K., Kirilina, E., Keuken, M., Mulder, M., Balesar, R., Groot, J., L. A. W. Bleys, R., Trampel, R., Weiskopf, N., Herrler, A., Möller, H., Bazin, P. & Forstmann, B. (14-9-2020). 7 Tesla MRI followed by histological 3D reconstructions in whole-brain specimens. Universiteit van Amsterdam. https://doi.org/10.21942/uva.12496853.v1
Bazin, P. L. E. A., Alkemade, A., van der Zwaag, W., Caan, M. W. A., Mulder, M. & Forstmann, B. (5-4-2019). Raw measurements for the statistics. Universiteit van Amsterdam. https://doi.org/10.21942/uva.7952270.v1
Alkemade, A., Kotz, S. A., Ott, D. V. M., Keuken, M. C., Schwarz, J., Weise, D., Schäfer, A., Forstmann, B. U. & de Hollander, G. (2018). Data from: Comparison of T2*-weighted and QSM contrasts in Parkinson's disease to visualize the STN with MRI. DRYAD. https://doi.org/10.5061/dryad.t7kp7
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