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Jan 6, 2025 | 
onlinelibrary.wiley.com | Maarten G. Poirot |Amsterdam UMC |Physics Amsterdam UMC |Amsterdam Neuroscience
FreeSurfer-derived cortical thickness and surface area measures showed no predictive value for pharmacotherapeutic treatment response in major depressive disorder in the current sample of the population at large. Classification performance was not dependent on machine learning pipeline configuration, that is, cortical data representation, the inclusion of clinical data, the machine learning method used, or the cross-validation scheme used.
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Dec 5, 2024 | 
onlinelibrary.wiley.com | James Mills |Amsterdam Neuroscience |Amsterdam UMC |Alessia Romagnolo
The authors declare no conflicts of interest. We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this report is consistent with those guidelines.
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Nov 21, 2024 | 
onlinelibrary.wiley.com | Amsterdam UMC |Dept Anatomy |Amsterdam Neuroscience |E. Oostra
Summations Increasing the amount of rTMS pulses does not increase the chances on treatment response. Receiving more sessions was significantly associated with higher treatment response. Limitations The included studies showed high levels of heterogeneity. This study did not investigate the longitudinal contribution of number of sessions or rTMS pulses on treatment response.
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Oct 10, 2024 | 
onlinelibrary.wiley.com | Amsterdam UMC |Amsterdam Neuroscience |Simon Braak |Neurodegeneration Programs
1. Introduction Current diagnostic classifications of psychiatric disorders, including depressive and anxiety disorders, rely on assessments of clinical presentation [1]. These psychiatric classifications are, however, not underpinned by neurobiological systems and do not take into account the heterogeneity within and across these psychiatric disorders [1, 2]. As a result, research findings are often inconsistent, and treatment effects are insufficient [3].
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Sep 14, 2024 | 01588-9/abstract?rss=yes&sz=64)
biologicalpsychiatryjournal.com | Amsterdam UMC |Vrije Universiteit Amsterdam |Amsterdam Neuroscience
Keywords OCD functional MRI rTMS predictors task-based fMRI exposure and response prevention psychotherapy Abbreviations AAL (automated anatomical labelling) ANOVA (analysis of variance) BAI (Beck anxiety inventory) BDI (Beck depression inventory) BML (Bayesian multilevel modelling) BOLD (blood-oxygen-dependent) CBT (cognitive behavioral therapy) CSTC network (cortico-striato-thalamo-cortical network) dACC (dorsal anterior cingulate cortex) DLPFC (dorsolateral prefrontal cortex) ERP (Exposure...
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Jun 22, 2024 | 
link.springer.com | Eva M. M |Vrije Universiteit Amsterdam |Amsterdam Neuroscience |Humboldt-Universität zu Berlin
AbstractRobust predictive models of clinical impairment and worsening in multiple sclerosis (MS) are needed to identify patients at risk and optimize treatment strategies. To evaluate whether machine learning (ML) methods can classify clinical impairment and predict worsening in people with MS (pwMS) and, if so, which combination of clinical and magnetic resonance imaging (MRI) features and ML algorithm is optimal.
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May 20, 2024 | 
journals.plos.org | Vrije Universiteit Amsterdam |Amsterdam Neuroscience |Amsterdam UMC |Lyduine E. Collij
Citation: Rhodius-Meester HFM, van Maurik IS, Collij LE, van Gils AM, Koikkalainen J, Tolonen A, et al. (2024) Computerized decision support is an effective approach to select memory clinic patients for amyloid-PET. PLoS ONE 19(5): e0303111. https://doi.org/10.1371/journal.pone.0303111Editor: Wataru Araki, National Center of Neurology and Psychiatry (NCNP), JAPANReceived: October 26, 2023; Accepted: April 18, 2024; Published: May 20, 2024Copyright: © 2024 Rhodius-Meester et al.
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May 16, 2024 | 
academic.oup.com | Vrije Universiteit Amsterdam |Amsterdam Neuroscience |Brain imaging
This scientific commentary refers to ‘Characterizing brain tau and cognitive decline along the amyloid timeline in Alzheimer’s disease’ by Cody et al. (https://doi.org/10.1093/brain/awae116). The current conceptualization of Alzheimer’s disease is strongly driven by the amyloid cascade hypothesis,1 which has provided the leading framework for investigating and understanding Alzheimer’s disease pathophysiology.
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Apr 29, 2024 | 
jamanetwork.com | Rik Ossenkoppele |Vrije Universiteit Amsterdam |Amsterdam Neuroscience |Charlotte Teunissen
Fluid Biomarker Changes After Amyloid-β–Targeting Drugs Downstream Biomarker Effects of Gantenerumab or Solanezumab in Dominantly Inherited Alzheimer Disease Olivia Wagemann, MD; Haiyan Liu, MD; Guoqiao Wang, PhD; Xinyu Shi, MS; Tobias Bittner, PhD; Marzia A. Scelsi, PhD; Martin R. Farlow, MD; David B. Clifford, MD; Charlene Supnet-Bell, PhD; Anna M. Santacruz, BS; Andrew J. Aschenbrenner, PhD; Jason J. Hassenstab, PhD; Tammie L. S. Benzinger, MD, PhD; Brian A.
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Mar 21, 2024 | 00107-5/fulltext&sz=64)
thelancet.com | Charlotte Teunissen |Amsterdam Neuroscience |Vrije Universiteit Amsterdam
Research in contextNeurofilament light chain (NfL) is an established biomarker for neuronal damage, and increasing evidence supports its diagnostic and prognostic value, and/or its role in monitoring treatment response in several neurological disorders. Previous studies have reported increased NfL levels in patients with GBS compared with healthy controls, and high serum NfL levels were associated with disease severity and subtype in GBS.
