Neuroimaging studies play a fundamental role in understanding the complexities of the human brain and its various disorders. With the increasing popularity of multi-site studies, it has become imperative to address the challenges associated with data harmonization. Neuroimaging data harmonization aims to standardize and integrate data collected across multiple sites, allowing for robust and reliable analysis while minimizing site-specific biases and confounding factors.
This Research Topic aims to highlight the methods and techniques employed in neuroimaging data harmonization, showing recent advances and innovations in the field. We aim to provide a comprehensive overview of the current state-of-the-art approaches that facilitate data harmonization, fostering collaboration and ensuring the validity and generalizability of findings in multi-site studies.
Key points to be covered:
1. Challenges and limitations in harmonizing neuroimaging data across different sites
2. Strategies for standardizing data acquisition, preprocessing, and analysis procedures
3. Quality control measures to ensure data consistency and reliability
4. Utilizing advanced statistical methods to address site-specific biases
5. Tools and software for data harmonization in neuroimaging studies
We welcome original research articles, protocols, reviews that summarize the current state-of-the-art in neuroimaging data harmonization, and opinion articles addressing the future directions and emerging trends in the field of neuroimaging data harmonization.
Keywords:
neuroimaging, MRI, fMRI, DWI
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.
Neuroimaging studies play a fundamental role in understanding the complexities of the human brain and its various disorders. With the increasing popularity of multi-site studies, it has become imperative to address the challenges associated with data harmonization. Neuroimaging data harmonization aims to standardize and integrate data collected across multiple sites, allowing for robust and reliable analysis while minimizing site-specific biases and confounding factors.
This Research Topic aims to highlight the methods and techniques employed in neuroimaging data harmonization, showing recent advances and innovations in the field. We aim to provide a comprehensive overview of the current state-of-the-art approaches that facilitate data harmonization, fostering collaboration and ensuring the validity and generalizability of findings in multi-site studies.
Key points to be covered:
1. Challenges and limitations in harmonizing neuroimaging data across different sites
2. Strategies for standardizing data acquisition, preprocessing, and analysis procedures
3. Quality control measures to ensure data consistency and reliability
4. Utilizing advanced statistical methods to address site-specific biases
5. Tools and software for data harmonization in neuroimaging studies
We welcome original research articles, protocols, reviews that summarize the current state-of-the-art in neuroimaging data harmonization, and opinion articles addressing the future directions and emerging trends in the field of neuroimaging data harmonization.
Keywords:
neuroimaging, MRI, fMRI, DWI
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.