Neuroinflammation is a common denominator in the pathophysiology of several neurological disorders including Multiple Sclerosis, HIV infection, cerebral small vessel disease, Alzheimer’s disease, Parkinson’s disease, chronic pain, traumatic brain injury, depression, and schizophrenia. The pivotal role of neuroinflammation in a wide range of neurological disorders makes it highly attractive for the purpose of diagnosis, development of new therapies and treatment monitoring in recent years. Due to rapid advancements in the last few decades, imaging tools have become popular in clinical exams as well as in neuroscience research. Neuroimaging offers several non- or minimally invasive techniques, such as MRI, PET, and SPECT, to characterize neuroinflammatory processes in the human central nervous system.
This Research Topic places a high value on research advances in neuroimaging techniques and measures to quantify neuroinflammation and their clinical as well as neurocognitive associations in different neurological disorders. Specifically, the major goals are 1) to propose novel imaging techniques for robust quantification of neuroinflammation; 2) to propose biophysical models using a single or multimodality imaging approach or the multimodal integration to understand neuroinflammatory processes; 3) to assess the relationship between imaging markers and neuroinflammatory blood markers or neurocognitive performance; 4) to present a comprehensive and in-depth review of relevant imaging techniques, their capabilities and limitations for evaluating neuroinflammation.
We welcome any types of manuscripts supported by the journal (including original research, review, and mini-review), on a wide range of topics pertaining but not limited to:
• Diffusion MRI - free water imaging, NODDI, DBSI, AxCaliber
• MR Elastography (MRE)
• Blood brain barrier (BBB) imaging – contrast enhanced MRI, perfusion MRI
• Magnetic resonance spectroscopy (MRS) – SVS and CSI methods
• Iron mapping - Quantitative susceptibility mapping (QSM), Susceptibility separation techniques
• Myelin mapping – myelin water imaging, magnetization transfer imaging, relaxometry
• Nuclear medicine imaging (PET and SPECT) of the brain
• Optical imaging methods
• Animal models with novel applications to brain imaging
• Multimodal image analysis – multimodal integration, biophysical modeling, machine learning
Neuroinflammation is a common denominator in the pathophysiology of several neurological disorders including Multiple Sclerosis, HIV infection, cerebral small vessel disease, Alzheimer’s disease, Parkinson’s disease, chronic pain, traumatic brain injury, depression, and schizophrenia. The pivotal role of neuroinflammation in a wide range of neurological disorders makes it highly attractive for the purpose of diagnosis, development of new therapies and treatment monitoring in recent years. Due to rapid advancements in the last few decades, imaging tools have become popular in clinical exams as well as in neuroscience research. Neuroimaging offers several non- or minimally invasive techniques, such as MRI, PET, and SPECT, to characterize neuroinflammatory processes in the human central nervous system.
This Research Topic places a high value on research advances in neuroimaging techniques and measures to quantify neuroinflammation and their clinical as well as neurocognitive associations in different neurological disorders. Specifically, the major goals are 1) to propose novel imaging techniques for robust quantification of neuroinflammation; 2) to propose biophysical models using a single or multimodality imaging approach or the multimodal integration to understand neuroinflammatory processes; 3) to assess the relationship between imaging markers and neuroinflammatory blood markers or neurocognitive performance; 4) to present a comprehensive and in-depth review of relevant imaging techniques, their capabilities and limitations for evaluating neuroinflammation.
We welcome any types of manuscripts supported by the journal (including original research, review, and mini-review), on a wide range of topics pertaining but not limited to:
• Diffusion MRI - free water imaging, NODDI, DBSI, AxCaliber
• MR Elastography (MRE)
• Blood brain barrier (BBB) imaging – contrast enhanced MRI, perfusion MRI
• Magnetic resonance spectroscopy (MRS) – SVS and CSI methods
• Iron mapping - Quantitative susceptibility mapping (QSM), Susceptibility separation techniques
• Myelin mapping – myelin water imaging, magnetization transfer imaging, relaxometry
• Nuclear medicine imaging (PET and SPECT) of the brain
• Optical imaging methods
• Animal models with novel applications to brain imaging
• Multimodal image analysis – multimodal integration, biophysical modeling, machine learning
