Alzheimer's Disease (AD) poses significant challenges in diagnosis and understanding its complex pathological mechanisms. With the advancements of multimodal neuroimaging approaches in cognitive neuroscience, unraveling the organization and spatiotemporal dynamics of the human brain, this research topic explores the clinical translation of such approaches to improve AD diagnosis, shed light on disease mechanisms, and inform potential clinical interventions.
Traditionally, AD research has often relied on single imaging modality to investigate specific aspects of the disease, such as the mismatch between neurodegeneration and amyloid-β deposition in positron emission tomography (PET). This research topic will focus on studies that integrate multiple neuroimaging modalities and biomarkers, to provide a more comprehensive view of AD's complex pathology and mechanisms. Such an integrated approach is crucial for unraveling the multifaceted nature of AD and identifying robust biomarker signatures that may predict disease progression or patients' response to therapy. This research topic aims to further refine multimodal neuroimaging techniques to achieve early detection of AD and greater AD diagnostic precision. Moreover, this research topic intends to highlight innovative studies that leverage multimodal neuroimaging to advance our understanding of AD, with the ultimate goal of developing effective strategies to improve cognitive function in AD patients, such as integrating cognitive behavioral therapy or brain stimulation intervention with neuroimaging. By combining insights from various imaging modalities, researchers can uncover novel understanding in AD pathogenesis and identify potential therapeutic targets.
This research topic covers, but is not limited to, recent developments in PET, structural and functional magnetic resonance imaging (MRI), blood-based AD biomarkers, cognitive behavioral therapy, and brain stimulation intervention. Specifically, novel multimodal neuroimaging data acquisition, multimodal data fusion analyses, and multimodal characteristics of AD progression and heterogeneity will be highlighted in this research topic.
In summary, this research topic is dedicated to compiling a comprehensive collection of studies that employ multimodal neuroimaging to achieve breakthroughs in AD research and patient care. By providing a platform for the cutting-edge research in multimodal neuroimaging of AD, this research topic aims to encourage the development of innovative imaging techniques and analytical methods, and contribute to the clinical translation of neuroimaging techniques. Multimodal neuroimaging holds the promise not only to enhance our understanding of AD but also to pave the way for effective interventions that could significantly improve the quality of life for individuals affected by AD.
Example studies include (but are not limited to):
1) Integrating PET and MRI for Early Diagnosis of Alzheimer's Disease
2) Combining Functional and Structural Neuroimaging to Track Alzheimer's Disease Progression
3) The Role of Multimodal Imaging in Unraveling Alzheimer's Disease Pathophysiology
4) Multimodal Neuroimaging Biomarkers for Predicting Alzheimer's Disease Onset
5) Multimodal Imaging Correlates of Neurodegeneration in Alzheimer's Disease
6) Harnessing Multimodal Imaging for Alzheimer's Disease Therapeutic Development
7) AI-Driven Integration of PET and MRI for Alzheimer's Disease Progression Analysis
8) Modeling Disease Trajectory in Alzheimer's Patients with Combined Neuroimaging and Predictive Analytics
9) Multimodal Imaging of Cognitive Resilience in Alzheimer's Disease
10) Neuroimaging Insights into Factors of Cognitive Resilience in Alzheimer's Disease
11) AI-Enhanced Multimodal Neuroimaging for Early Detection of Alzheimer's Disease
Keywords:
Alzheimer's Disease, neuroimaging, multimodal neuroimaging, magnetic resonance imaging, cognitive behavioral therapy, positron emission tomography (PET), neurodegeneration
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.
Alzheimer's Disease (AD) poses significant challenges in diagnosis and understanding its complex pathological mechanisms. With the advancements of multimodal neuroimaging approaches in cognitive neuroscience, unraveling the organization and spatiotemporal dynamics of the human brain, this research topic explores the clinical translation of such approaches to improve AD diagnosis, shed light on disease mechanisms, and inform potential clinical interventions.
Traditionally, AD research has often relied on single imaging modality to investigate specific aspects of the disease, such as the mismatch between neurodegeneration and amyloid-β deposition in positron emission tomography (PET). This research topic will focus on studies that integrate multiple neuroimaging modalities and biomarkers, to provide a more comprehensive view of AD's complex pathology and mechanisms. Such an integrated approach is crucial for unraveling the multifaceted nature of AD and identifying robust biomarker signatures that may predict disease progression or patients' response to therapy. This research topic aims to further refine multimodal neuroimaging techniques to achieve early detection of AD and greater AD diagnostic precision. Moreover, this research topic intends to highlight innovative studies that leverage multimodal neuroimaging to advance our understanding of AD, with the ultimate goal of developing effective strategies to improve cognitive function in AD patients, such as integrating cognitive behavioral therapy or brain stimulation intervention with neuroimaging. By combining insights from various imaging modalities, researchers can uncover novel understanding in AD pathogenesis and identify potential therapeutic targets.
This research topic covers, but is not limited to, recent developments in PET, structural and functional magnetic resonance imaging (MRI), blood-based AD biomarkers, cognitive behavioral therapy, and brain stimulation intervention. Specifically, novel multimodal neuroimaging data acquisition, multimodal data fusion analyses, and multimodal characteristics of AD progression and heterogeneity will be highlighted in this research topic.
In summary, this research topic is dedicated to compiling a comprehensive collection of studies that employ multimodal neuroimaging to achieve breakthroughs in AD research and patient care. By providing a platform for the cutting-edge research in multimodal neuroimaging of AD, this research topic aims to encourage the development of innovative imaging techniques and analytical methods, and contribute to the clinical translation of neuroimaging techniques. Multimodal neuroimaging holds the promise not only to enhance our understanding of AD but also to pave the way for effective interventions that could significantly improve the quality of life for individuals affected by AD.
Example studies include (but are not limited to):
1) Integrating PET and MRI for Early Diagnosis of Alzheimer's Disease
2) Combining Functional and Structural Neuroimaging to Track Alzheimer's Disease Progression
3) The Role of Multimodal Imaging in Unraveling Alzheimer's Disease Pathophysiology
4) Multimodal Neuroimaging Biomarkers for Predicting Alzheimer's Disease Onset
5) Multimodal Imaging Correlates of Neurodegeneration in Alzheimer's Disease
6) Harnessing Multimodal Imaging for Alzheimer's Disease Therapeutic Development
7) AI-Driven Integration of PET and MRI for Alzheimer's Disease Progression Analysis
8) Modeling Disease Trajectory in Alzheimer's Patients with Combined Neuroimaging and Predictive Analytics
9) Multimodal Imaging of Cognitive Resilience in Alzheimer's Disease
10) Neuroimaging Insights into Factors of Cognitive Resilience in Alzheimer's Disease
11) AI-Enhanced Multimodal Neuroimaging for Early Detection of Alzheimer's Disease
Keywords:
Alzheimer's Disease, neuroimaging, multimodal neuroimaging, magnetic resonance imaging, cognitive behavioral therapy, positron emission tomography (PET), neurodegeneration
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.