Cognitive impairment encompasses a spectrum of disorders that adversely affect memory, attention, and executive functions, significantly impacting individuals' quality of life. Multimodal magnetic resonance imaging (MRI) techniques, including structural MRI, functional MRI (fMRI), and diffusion tensor imaging (DTI), offer comprehensive insights into the brain’s structural and functional networks. These advanced imaging modalities enable researchers to investigate the complex neural mechanisms underlying cognitive impairment, facilitating early diagnosis, monitoring disease progression, and evaluating therapeutic interventions. Our Research Topic aims to bring together cutting-edge research on the application of multimodal MRI to unravel the intricacies of brain networks in cognitive impairment, fostering advancements in both clinical and translational neuroscience.
This Research Topic aims to encourage submissions that contribute to the understanding of the intricate changes in brain networks linked to cognitive impairment, leveraging the comprehensive capabilities of multimodal MRI. By integrating various imaging techniques, researchers can gain a holistic view of the brain’s alterations, facilitating the development of more effective diagnostic tools and therapeutic strategies. We invite studies that utilize these cutting-edge imaging technologies to uncover novel biomarkers, understand disease mechanisms, and track therapeutic responses, ultimately paving the way for improved clinical outcomes for individuals with cognitive impairment.
Some example studies include:
• Advances in Multimodal MRI Techniques: We welcome studies focusing on the latest developments in MRI, including DTI, fMRI, and magnetic resonance spectroscopy (MRS), and their application in understanding cognitive impairment.
• Brain Network Alterations in Cognitive Disorders: Research that utilizes multimodal MRI to explore changes in the brain's structural and functional networks in conditions such as Alzheimer's disease, mild cognitive impairment, and other dementias.
• Biomarkers for Early Detection of Cognitive Impairment: Papers discussing how multimodal MRI findings can serve as biomarkers for the early detection and progression monitoring of cognitive decline.
• Comparative Studies on Healthy Aging vs. Cognitive Impairment: Comparative analyses of MRI findings in healthy aging individuals versus those with cognitive impairment to identify specific patterns of brain changes associated with pathological aging.
• Impact of Therapeutic Interventions on Brain Networks: Investigations on how various pharmacological and non-pharmacological interventions alter brain network connectivity and function in patients with cognitive impairment, as revealed by multimodal MRI.
• Cross-Disciplinary Approaches in Cognitive Impairment Research: We encourage studies that combine multimodal MRI with other disciplines such as genomics, neuropsychology, and computational modeling to provide a comprehensive understanding of cognitive impairment.
• Machine Learning and AI in MRI Analysis for Cognitive Impairment: Papers on the application of machine learning and artificial intelligence techniques to analyze multimodal MRI data for the classification, prediction, and understanding of cognitive impairment.
• Case Studies and Clinical Reports: Detailed case studies, clinical reports, or reviews that provide insights into unique or novel findings from multimodal MRI studies in patients with cognitive impairment.
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 spectrum of disorders that adversely affect memory, attention, and executive functions, significantly impacting individuals' quality of life. Multimodal magnetic resonance imaging (MRI) techniques, including structural MRI, functional MRI (fMRI), and diffusion tensor imaging (DTI), offer comprehensive insights into the brain’s structural and functional networks. These advanced imaging modalities enable researchers to investigate the complex neural mechanisms underlying cognitive impairment, facilitating early diagnosis, monitoring disease progression, and evaluating therapeutic interventions. Our Research Topic aims to bring together cutting-edge research on the application of multimodal MRI to unravel the intricacies of brain networks in cognitive impairment, fostering advancements in both clinical and translational neuroscience.
This Research Topic aims to encourage submissions that contribute to the understanding of the intricate changes in brain networks linked to cognitive impairment, leveraging the comprehensive capabilities of multimodal MRI. By integrating various imaging techniques, researchers can gain a holistic view of the brain’s alterations, facilitating the development of more effective diagnostic tools and therapeutic strategies. We invite studies that utilize these cutting-edge imaging technologies to uncover novel biomarkers, understand disease mechanisms, and track therapeutic responses, ultimately paving the way for improved clinical outcomes for individuals with cognitive impairment.
Some example studies include:
• Advances in Multimodal MRI Techniques: We welcome studies focusing on the latest developments in MRI, including DTI, fMRI, and magnetic resonance spectroscopy (MRS), and their application in understanding cognitive impairment.
• Brain Network Alterations in Cognitive Disorders: Research that utilizes multimodal MRI to explore changes in the brain's structural and functional networks in conditions such as Alzheimer's disease, mild cognitive impairment, and other dementias.
• Biomarkers for Early Detection of Cognitive Impairment: Papers discussing how multimodal MRI findings can serve as biomarkers for the early detection and progression monitoring of cognitive decline.
• Comparative Studies on Healthy Aging vs. Cognitive Impairment: Comparative analyses of MRI findings in healthy aging individuals versus those with cognitive impairment to identify specific patterns of brain changes associated with pathological aging.
• Impact of Therapeutic Interventions on Brain Networks: Investigations on how various pharmacological and non-pharmacological interventions alter brain network connectivity and function in patients with cognitive impairment, as revealed by multimodal MRI.
• Cross-Disciplinary Approaches in Cognitive Impairment Research: We encourage studies that combine multimodal MRI with other disciplines such as genomics, neuropsychology, and computational modeling to provide a comprehensive understanding of cognitive impairment.
• Machine Learning and AI in MRI Analysis for Cognitive Impairment: Papers on the application of machine learning and artificial intelligence techniques to analyze multimodal MRI data for the classification, prediction, and understanding of cognitive impairment.
• Case Studies and Clinical Reports: Detailed case studies, clinical reports, or reviews that provide insights into unique or novel findings from multimodal MRI studies in patients with cognitive impairment.
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.