Cognitive impairment encompasses a range of disorders, significantly impacting memory, attention, and executive functions and subsequently reducing individual quality of life. In exploring brain functions and structures, researchers utilize multimodal magnetic resonance imaging (MRI) techniques such as structural MRI, functional MRI (fMRI), and diffusion tensor imaging (DTI). These advanced imaging methods provide a comprehensive view of the brain’s networks, crucial for investigating the underlying neural mechanisms of cognitive deficits. This kind of research is essential for the early diagnosis, monitoring disease progression, and evaluation of treatments—areas that continue to evolve with ongoing scientific studies yet still present significant gaps, particularly in specific diagnostics and interventional outcomes.
This Research Topic aims to encourage submissions that advance understanding of changes in brain networks related to cognitive impairment through multimodal MRI. Integrating various imaging techniques allows for a holistic analysis of brain alterations, empowering the development of more precise diagnostics and therapeutic approaches. Contributions should focus on the deployment of these sophisticated imaging innovations to discover new biomarkers, unravel diseases mechanisms, and monitor therapeutic effectiveness, all toward enhancing clinical outcomes for individuals living with cognitive issues.
To gather further insights in this evolving field, we welcome articles addressing, but not limited to, the following themes:
• Latest developments in MRI technologies like DTI, fMRI, and magnetic resonance spectroscopy (MRS) pertinent to cognitive impairment.
• Examination of brain network alterations in various cognitive disorders, including Alzheimer’s disease and other dementias.
• Identification of MRI-based biomarkers for early detection and progression tracking of cognitive decline.
• Comparative studies on brain changes between healthy aging and cognitive impairment.
• Impact of different therapeutic interventions on brain networks as detected through MRI.
• Integrative research combining multimodal MRI with genomics, neuropsychology, or computational modeling.
• Use of machine learning and AI in analyzing MRI data to better understand cognitive impairment.
• Detailed case studies and clinical reports highlighting unique or innovative findings from multimodal MRI research in cognitive disorders.
Keywords:
Multimodal MRI, Cognitive impairment, Alzheimer's disease, Diffusion tensor imaging (DTI), Functional MRI (fMRI), Structural MRI, Brain networks, Magnetic resonance spectroscopy (MRS), Neuroimaging
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Cognitive impairment encompasses a range of disorders, significantly impacting memory, attention, and executive functions and subsequently reducing individual quality of life. In exploring brain functions and structures, researchers utilize multimodal magnetic resonance imaging (MRI) techniques such as structural MRI, functional MRI (fMRI), and diffusion tensor imaging (DTI). These advanced imaging methods provide a comprehensive view of the brain’s networks, crucial for investigating the underlying neural mechanisms of cognitive deficits. This kind of research is essential for the early diagnosis, monitoring disease progression, and evaluation of treatments—areas that continue to evolve with ongoing scientific studies yet still present significant gaps, particularly in specific diagnostics and interventional outcomes.
This Research Topic aims to encourage submissions that advance understanding of changes in brain networks related to cognitive impairment through multimodal MRI. Integrating various imaging techniques allows for a holistic analysis of brain alterations, empowering the development of more precise diagnostics and therapeutic approaches. Contributions should focus on the deployment of these sophisticated imaging innovations to discover new biomarkers, unravel diseases mechanisms, and monitor therapeutic effectiveness, all toward enhancing clinical outcomes for individuals living with cognitive issues.
To gather further insights in this evolving field, we welcome articles addressing, but not limited to, the following themes:
• Latest developments in MRI technologies like DTI, fMRI, and magnetic resonance spectroscopy (MRS) pertinent to cognitive impairment.
• Examination of brain network alterations in various cognitive disorders, including Alzheimer’s disease and other dementias.
• Identification of MRI-based biomarkers for early detection and progression tracking of cognitive decline.
• Comparative studies on brain changes between healthy aging and cognitive impairment.
• Impact of different therapeutic interventions on brain networks as detected through MRI.
• Integrative research combining multimodal MRI with genomics, neuropsychology, or computational modeling.
• Use of machine learning and AI in analyzing MRI data to better understand cognitive impairment.
• Detailed case studies and clinical reports highlighting unique or innovative findings from multimodal MRI research in cognitive disorders.
Keywords:
Multimodal MRI, Cognitive impairment, Alzheimer's disease, Diffusion tensor imaging (DTI), Functional MRI (fMRI), Structural MRI, Brain networks, Magnetic resonance spectroscopy (MRS), Neuroimaging
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.