Publications of Matthias L. Schroeter
All genres
Journal Article (240)
2017
Journal Article
Kharabian, S., , , Roggenhofer, E., , , … Villringer, A. (2017). Functional connectivity alterations in patients with chronic hepatitis C virus infection: A multimodal MRI study. Journal of Viral Hepatitis, 24, 216–225.
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Liem, F., , Kynast, J., Beyer, F., Kharabian, S., Huntenburg, J. M., … Margulies, D. S. (2017). Predicting brain-age from multimodal imaging data captures cognitive impairment. NeuroImage, 148, 179–188.
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Schroeter, M. L., , … (2017). Neurofilament as a blood marker for diagnosis and monitoring of primary progressive aphasias. Neurology, 88, 961–969.
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Bisenius, S., Mueller, K., , , , , … . (2017). Predicting primary progressive aphasias with support vector machine approaches in structural MRI data. NeuroImage: Clinical, 14, 334–343.
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Mueller, K., Stuke, K., Bisenius, S., , , … . (2017). Predicting behavioral variant frontotemporal dementia with pattern classification in multi-center structural MRI data. NeuroImage: Clinical, 14, 656–662.
, 2016
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Schroeter, M. L., … (2016). Feasibility and acceptance of simultaneous amyloid PET/MRI. European Journal of Nuclear Medicine and Molecular Imaging, 43, 2236–2243.
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Schroeter, M. L., Bisenius, S., … . (2016). Atrophy and structural covariance of the cholinergic basal forebrain in primary progressive aphasia. Cortex, 83, 124–135.
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Bisenius, S., Neumann, J., & Schroeter, M. L. (2016). Response to the letter on ‘Validating new diagnostic imaging criteria for primary progressive aphasia via anatomical likelihood estimation meta-analyses.’ European Journal of Neurology, 23, e52–e53.
Journal Article
Schroeter, M. L., , … (2016). Early [18F]florbetaben and [11C]PiB PET images are a surrogate biomarker of neuronal injury in Alzheimer’s disease. European Journal of Nuclear Medicine and Molecular Imaging, 43, 1700–1709.
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Schroeter, M. L. (2016). Frühdiagnostik neurodegenerativer Erkrankungen - Nur mit umfassender Beratung [Early diagnosis of neurodegenerative diseases – Only after comprehensive counselling]. Deutsches Ärzteblatt, 113, B1161–B1164.
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, , , , , , … (2016). Impact of attenuation correction on clinical [18F]FDG brain PET in combined PET/MRI. EJNMMI Research, 6. doi:10.1186/s13550-016-0200-0
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Bisenius, S., Neumann, J., & Schroeter, M. L. (2016). Validating new diagnostic imaging criteria for primary progressive aphasia via anatomical likelihood estimation meta-analyses. European Journal of Neurology, 23, 704–712.
Journal Article
Kharabian, S., Arélin, K., Horstmann, A., Lampe, L., Kipping, J., , … Witte, V. (2016). Higher body mass index in older adults is associated with lower gray matter volume: Implications for memory performance. Neurobiology of Aging, 40, 1–10.
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Schroeter, M. L., , … (2016). Serum S100B protein is specifically related to white matter changes in schizophrenia. Frontiers in Cellular Neuroscience, 10. doi:10.3389/fncel.2016.00033
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Schümberg, K., Polyakova, M., , & Schroeter, M. L. (2016). Serum S100B is related to illness duration and clinical symptoms in schizophrenia: A meta-regression analysis. Frontiers in Cellular Neuroscience, 10. doi:10.3389/fncel.2016.00046
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Mueller, K., Arélin, K., Möller, H. E., Sacher, J., , , … Schroeter, M. L. (2016). Serum BDNF correlates with connectivity in the (pre)motor hub in the aging human brain: A resting-state fMRI pilot study. Neurobiology of Aging, 38, 181–187.
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Dukart, J., , , , , … (2016). Partial-volume effect correction improves quantitative analysis of 18F-florbetaben β-amyloid PET scans. Journal of Nuclear Medicine, 57, 198–203.
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Obrig, H., Villringer, A., Quinque, E. M., Schroeter, M. L., … Klein, T. A. (2016). Neural synchrony indexes impaired motor slowing after errors and novelty following white matter damage. Neurobiology of Aging, 38, 205–213.
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Bisenius, S., Trapp, S., Neumann, J., & Schroeter, M. L. (2015). Identifying neural correlates of visual consciousness with ALE meta-analyses. NeuroImage, 122, 177–187.
Journal Article
Polyakova, M., Schroeter, M. L., , Holiga, Š., , , & (2015). Brain-derived neurotrophic factor and antidepressive effect of electroconvulsive therapy: Systematic review and meta-analyses of the preclinical and clinical literature. PLoS One, 10. doi:10.1371/journal.pone.0141564