Advanced Neuroimaging Techniques
( 25 Modules )

Module #1
Introduction to Advanced Neuroimaging
Overview of advanced neuroimaging techniques and their applications in neuroscience research and clinical practice

Module #2
Functional MRI (fMRI):Principles and Methods
In-depth exploration of fMRI principles, data acquisition, and analysis techniques

Module #3
fMRI:Spatial and Temporal Resolution
Optimizing fMRI spatial and temporal resolution for improved brain mapping

Module #4
Resting-State fMRI:Analysis and Interpretation
Introduction to resting-state fMRI, including data analysis and interpretation of brain networks

Module #5
Task-Based fMRI:Design and Analysis
Designing and analyzing task-based fMRI experiments to study brain function

Module #6
Diffusion Tensor Imaging (DTI):Principles and Applications
Understanding DTI principles and applications in brain connectivity and white matter tractography

Module #7
DTI:Advanced Techniques and Limitations
Exploring advanced DTI techniques, including high-angular resolution diffusion imaging (HARDI) and diffusion kurtosis imaging (DKI)

Module #8
Magnetic Resonance Spectroscopy (MRS):Principles and Applications
Introduction to MRS principles and applications in neurochemistry and metabolomics

Module #9
MRS:Advanced Techniques and Data Analysis
Advanced MRS techniques, including edited MRS and spectroscopic imaging, and data analysis methods

Module #10
Arterial Spin Labeling (ASL):Principles and Applications
Understanding ASL principles and applications in cerebral blood flow imaging

Module #11
ASL:Advanced Techniques and Limitations
Exploring advanced ASL techniques, including pseudo-continuous ASL and multi-delay ASL

Module #12
Functional Magnetic Resonance Angiography (fMRA):Principles and Applications
Introduction to fMRA principles and applications in brain vasculature imaging

Module #13
Electroencephalography (EEG):Principles and Applications
Understanding EEG principles and applications in neural oscillations and brain function

Module #14
EEG:Advanced Techniques and Data Analysis
Advanced EEG techniques, including source localization and connectivity analysis, and data analysis methods

Module #15
Magnetoencephalography (MEG):Principles and Applications
Introduction to MEG principles and applications in neural oscillations and brain function

Module #16
MEG:Advanced Techniques and Data Analysis
Advanced MEG techniques, including source localization and connectivity analysis, and data analysis methods

Module #17
Neuroimaging Preprocessing and Quality Control
Best practices for preprocessing and quality control in neuroimaging data analysis

Module #18
Statistical Analysis and Modeling in Neuroimaging
Introduction to statistical analysis and modeling techniques in neuroimaging data analysis

Module #19
Machine Learning and Deep Learning in Neuroimaging
Applications of machine learning and deep learning in neuroimaging data analysis and interpretation

Module #20
Multimodal Neuroimaging:Integration and Analysis
Integrating and analyzing multimodal neuroimaging data, including EEG-fMRI and MEG-fMRI

Module #21
Advanced Neuroimaging in Clinical Neuroscience
Applications of advanced neuroimaging techniques in clinical neuroscience, including neurodegenerative diseases and disorders

Module #22
Advanced Neuroimaging in Cognitive Neuroscience
Applications of advanced neuroimaging techniques in cognitive neuroscience, including attention, memory, and decision-making

Module #23
Advanced Neuroimaging in Neuroplasticity and Recovery
Applications of advanced neuroimaging techniques in studying neuroplasticity and recovery in brain function

Module #24
Ethical and Regulatory Considerations in Neuroimaging Research
Ethical and regulatory considerations in neuroimaging research, including data sharing and privacy

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Advanced Neuroimaging Techniques career

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Advanced Neuroimaging Techniques ( 25 Modules )

Advanced Neuroimaging Techniques
( 25 Modules )