MRI |
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Unclear recommendations for acquisition and analyses details for multivendor protocols using state-of-the-art equipment
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Unclear quality control guidelines and reference values in the context of different markers
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Unclear recommendations for retrospective harmonization of existing data acquired with different protocols
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Harmonize multivendor state-of-the-art acquisition and quality assurance. In particular three-dimensional anatomic and quantitative tissue mapping (e.g., susceptibility, tissue relaxation, myelin, and so forth), advanced structural (diffusion), and functional (resting state) connectivity
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Quantify reproducibility for different markers
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Standardize quality assurance for different markers. Evaluate optimal markers for different ND types, stages, and experimental designs (cross-sectional or longitudinal)
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Standardization of retrospective MRI data harmonization strategies
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PET-SPECT |
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Lack of harmonization for analysis tools and quantification (FDG-PET, amyloid PET, tau PET, and dopaminergic PET/SPECT)
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Lack of standardization across amyloid PET tracers
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Lack of public normative reference data, especially healthy volunteers
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Lack of PET-SPECT comparisons (dopaminergic tracers)
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Harmonize multivendor image reconstruction parameters and quantification
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Develop public databases of normal and ND patients (uniform with respect to acquisition and quantification)
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Create centralized analysis platforms for widely available markers lacking standardization of analysis such as FDG and dopaminergic markers
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EEG |
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Lack of standardization of spectral source EEG analysis and high-resolution recordings
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Lack of quality assurance standardization (ocular motion and cardiac artifacts)
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Lack of clarity of the limits and opportunities of EEG biomarkers for NDs
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Harmonize multivendor state-of-the-art acquisition and quality assurance EEG protocols
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Harmonize biomarker extraction using spectral or time-domain analysis: resting state (eyes open/closed) and event related (oddball, and so forth)
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Quantify test-retest reliability from multivendor EEG data
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Evaluate best biomarkers for different NDs and experimental designs (cross-sectional, longitudinal)
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