Neuroimaging methods are essential tools for the diagnosis and monitoring of neurological diseases and are often used as outcome measures in clinical trials. The marked technological development over the past years resulted in a qualitative shift, leading to a vast improvement in the quality and diversity of available in vivo imaging techniques and available analysis tools. Nevertheless, this resulted in only marginal benefits in the understanding of the underlying pathological processes of the different diseases. This can be attributed to several factors, such as the multi-dimensionality of underlying pathological mechanisms, and the compensatory mechanisms occurring in parallel, all of which cannot be adequately depicted by a single imaging modality.
The availability of various imaging techniques such as PET–MRI, single-photon emission CT-MRI, and EEG MR-compatible systems, paved the way for the implementation of novel, pathology-specific imaging protocols. Multi-modal imaging in neurology relies on the simultaneous depiction of the central nervous system (CNS) using more than one imaging technique. Any combination between different spectral, magnetic resonance (MR) modalities, and radioactive reporters enable the examination of different molecules of the neural tissue, thus allowing the parallel depiction of multiple cellular or neural processes. As such, multi-modality imaging will play a central role in the investigation of the multifaceted pathophysiological process and the establishment of accurate and more reliable markers in various neurological conditions.
This topic will focus on the translational application of multi-modal imaging and novel data analysis methods that can be utilized to explore the underlying structural and functional fingerprints in different neurological diseases in both pre-clinical as well as clinical settings. We welcome submissions of the following article types: Original Research, Case Reports, Reviews, Opinion Pieces and Perspective, Methods, and Study Protocols.
Neuroimaging methods are essential tools for the diagnosis and monitoring of neurological diseases and are often used as outcome measures in clinical trials. The marked technological development over the past years resulted in a qualitative shift, leading to a vast improvement in the quality and diversity of available in vivo imaging techniques and available analysis tools. Nevertheless, this resulted in only marginal benefits in the understanding of the underlying pathological processes of the different diseases. This can be attributed to several factors, such as the multi-dimensionality of underlying pathological mechanisms, and the compensatory mechanisms occurring in parallel, all of which cannot be adequately depicted by a single imaging modality.
The availability of various imaging techniques such as PET–MRI, single-photon emission CT-MRI, and EEG MR-compatible systems, paved the way for the implementation of novel, pathology-specific imaging protocols. Multi-modal imaging in neurology relies on the simultaneous depiction of the central nervous system (CNS) using more than one imaging technique. Any combination between different spectral, magnetic resonance (MR) modalities, and radioactive reporters enable the examination of different molecules of the neural tissue, thus allowing the parallel depiction of multiple cellular or neural processes. As such, multi-modality imaging will play a central role in the investigation of the multifaceted pathophysiological process and the establishment of accurate and more reliable markers in various neurological conditions.
This topic will focus on the translational application of multi-modal imaging and novel data analysis methods that can be utilized to explore the underlying structural and functional fingerprints in different neurological diseases in both pre-clinical as well as clinical settings. We welcome submissions of the following article types: Original Research, Case Reports, Reviews, Opinion Pieces and Perspective, Methods, and Study Protocols.
