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Cerliani, L., Bhandari, R., De Angelis, L., van der Zwaag, W., Bazin, P-L., Gazzola, V., & Keysers, C. (2022). Predictive coding during action observation - A depth-resolved intersubject functional correlation study at 7T. Cortex, 148, 121-138. https://doi.org/10.1016/j.cortex.2021.12.008[details]
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]
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]
Jäger, A-T. P., Huntenburg, J. M., Tremblay, S. A., Schneider, U., Grahl, S., Huck, J., Tardif, C. L., Villringer, A., Gauthier, C. J., Bazin, P-L., & Steele, C. J. (2021). Motor sequences; separating the sequence from the motor. A longitudinal rsfMRI study. Brain Structure and Function. https://doi.org/10.1007/s00429-021-02412-7
Müller-Axt, C., Eichner, C., Rusch, H., Kauffmann, L., Bazin, P-L., Anwander, A., Morawski, M., & von Kriegstein, K. (2021). Mapping the human lateral geniculate nucleus and its cytoarchitectonic subdivisions using quantitative MRI. NeuroImage, 244, [118559]. https://doi.org/10.1016/j.neuroimage.2021.118559[details]
Tremblay, S. A., Jäger, A-T., Huck, J., Giacosa, C., Beram, S., Schneider, U., Grahl, S., Villringer, A., Tardif, C. L., Bazin, P-L., Steele, C. J., & Gauthier, C. J. (2021). White matter microstructural changes in short-term learning of a continuous visuomotor sequence. Brain Structure and Function, 226(6), 1677-1698. https://doi.org/10.1007/s00429-021-02267-y[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]
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. (19-5-2022). AHEAD quantitative MRI templates (MNI2009b). Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646364.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. (27-7-2020). 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.v1
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
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., 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]
Gau, R., Bazin, P-L., Trampel, R., Turner, R., & Noppeney, U. (2020). Resolving multisensory and attentional influences across cortical depth in sensory cortices. eLife, 9, [e46856]. https://doi.org/10.7554/eLife.46856[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
Kalloch, B., Bazin, P-L., Villringer, A., Sehm, B., & Hlawitschka, M. (2020). A flexible workflow for simulating transcranial electric stimulation in healthy and lesioned brains. PLoS ONE, 15(5), [e0228119]. https://doi.org/10.1371/journal.pone.0228119[details]
Kirilina, E., Helbling, S., Morawski, M., Pine, K., Reimann, K., Jankuhn, S., Dinse, J., Deistung, A., Reichenbach, J. R., Trampel, R., Geyer, S., Müller, L., Jakubowski, N., Arendt, T., Bazin, P-L., & Weiskopf, N. (2020). Superficial white matter imaging: Contrast mechanisms and whole-brain in vivo mapping. Science Advances, 6(41), [eaaz9281]. https://doi.org/10.1126/sciadv.aaz9281
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]
Babayan, A., Erbey, M., Kumral, D., Reinelt, J. D., Reiter, A. M. F., Röbbig, J., Schaare, H. L., Uhlig, M., Anwander, A., Bazin, P-L., Horstmann, A., Lampe, L., Nikulin, V. V., Okon-Singer, H., Preusser, S., Pampel, A., Rohr, C. S., Sacher, J., Thöne-Otto, A., ... Villringer, A. (2019). A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults. Scientific Data, 6, [180308]. https://doi.org/10.1038/sdata.2018.308[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]
Caan, M. W. A., Bazin, P-L., Marques, J. P., de Hollander, G., Dumoulin, S. O., & van der Zwaag, W. (2019). MP2RAGEME: T1 , T2* , and QSM mapping in one sequence at 7 tesla. Human Brain Mapping, 40(6), 1786-1798. https://doi.org/10.1002/hbm.24490[details]
Heuer, K., Gulban, O. F., Bazin, P-L., Osoianu, A., Valabregue, R., Santin, M., Herbin, M., & Toro, R. (2019). Evolution of neocortical folding: A phylogenetic comparative analysis of MRI from 34 primate species. Cortex, 118, 275-291. https://doi.org/10.1016/j.cortex.2019.04.011[details]
Huck, J., Wanner, Y., Fan, A. P., Jäger, A-T., Grahl, S., Schneider, U., Villringer, A., Steele, C. J., Tardif, C. L., Bazin, P-L., & Gauthier, C. J. (2019). High resolution atlas of the venous brain vasculature from 7 T quantitative susceptibility maps. Brain Structure and Function, 224(7), 2467-2485. https://doi.org/10.1007/s00429-019-01919-4[details]
Kalloch, B., Bode, J., Kozlov, M., Pampel, A., Hlawitschka, M., Sehm, B., Villringer, A., Möller, H. E., & Bazin, P-L. (2019). Semi-automated generation of individual computational models of the human head and torso from MR images. Magnetic Resonance in Medicine, 81(3), 2090-2105. https://doi.org/10.1002/mrm.27508[details]
Lampe, L., Kharabian-Masouleh, S., Kynast, J., Arelin, K., Steele, C. J., Löffler, M., Witte, A. V., Schroeter, M. L., Villringer, A., & Bazin, P-L. (2019). Lesion location matters: The relationships between white matter hyperintensities on cognition in the healthy elderly. Journal of cerebral blood flow and metabolism, 39(1), 36-43. https://doi.org/10.1177/0271678X17740501[details]
Lampe, L., Zhang, R., Beyer, F., Huhn, S., Kharabian Masouleh, S., Preusser, S., Bazin, P-L., Schroeter, M. L., Villringer, A., & Witte, A. V. (2019). Visceral obesity relates to deep white matter hyperintensities via inflammation. Annals of Neurology, 85(2), 194-203. https://doi.org/10.1002/ana.25396[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
van Mourik, T., van der Eerden, J. P. J. M., Bazin, P-L., & Norris, D. G. (2019). Laminar signal extraction over extended cortical areas by means of a spatial GLM. PLoS ONE, 14(3), [e0212493]. https://doi.org/10.1371/journal.pone.0212493[details]
Huhn, S., Beyer, F., Zhang, R., Lampe, L., Grothe, J., Kratzsch, J., Willenberg, A., Breitfeld, J., Kovacs, P., Stumvoll, M., Trampel, R., Bazin, P-L., Villringer, A., & Witte, A. V. (2018). Effects of resveratrol on memory performance, hippocampus connectivity and microstructure in older adults - A randomized controlled trial. NeuroImage, 174, 177-190. https://doi.org/10.1016/j.neuroimage.2018.03.023
Netherlands Brain Bank (2018). Quantitative Susceptibility Mapping of Amyloid-β Aggregates in Alzheimer's Disease with 7T MR. Journal of Alzheimer's Disease, 64(2), 393-404. https://doi.org/10.3233/JAD-180118
2017
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]
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]
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]
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]
2013
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]
2012
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]
Others
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, ...).
2022
Bazin, P. L. E. A., Forstmann, B. U., Alkemade, J. M., Miletić, S. & Isherwood, S. J. S. (19-5-2022). AHEAD quantitative MRI templates (MNI2009b). Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646364.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 - 3D reconstructions. Universiteit van Amsterdam. https://doi.org/10.21942/uva.16834114.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 - 3D reconstructions. Universiteit van Amsterdam. https://doi.org/10.21942/uva.14260064.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. U. & Alkemade, A. (4-3-2022). Ahead Brain 152017 - Automated parcellations. Universiteit van Amsterdam. https://doi.org/10.21942/uva.14260079.v1
Bazin, P. L. E. A., Forstmann, B. U. & Alkemade, A. (1-1-2022). Ahead brain 122017 - Registration scripts. Universiteit van Amsterdam. https://doi.org/10.21942/uva.16834132.v1
Bazin, P. L. E. A., Forstmann, B. U. & Alkemade, A. (1-1-2022). Ahead brain 152017 - Registration scripts. Universiteit van Amsterdam. https://doi.org/10.21942/uva.14260673.v1
Bazin, P. L. E. A., Forstmann, B. U., Alkemade, J. M., Miletić, S. & Isherwood, S. J. S. (1-1-2022). AHEAD quantitative MRI templates (MNI2009b). Universiteit van Amsterdam. https://doi.org/10.21942/uva.19646364.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
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. (27-7-2020). 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.v1
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