Neuroimaging techniques, like MRI and PET scans, have a hard time telling apart brain diseases and mental health issues.
Here are some reasons why:
Overlapping Symptoms: Both brain diseases and mental health problems can show similar signs in how people think and behave. This makes it tough to make a clear diagnosis.
Lack of Specific Biomarkers: The results from these scans, like brain shrinkage patterns or activity of brain chemicals, can be unclear and confusing.
Costs and Accessibility: These advanced imaging methods can be costly and aren’t available everywhere, which limits how often they can be used.
To tackle these problems, researchers need to work on finding clear markers that point to specific issues. They should also improve the way we use imaging tools. This could include using machine learning, which may help us make more accurate diagnoses.
Neuroimaging techniques, like MRI and PET scans, have a hard time telling apart brain diseases and mental health issues.
Here are some reasons why:
Overlapping Symptoms: Both brain diseases and mental health problems can show similar signs in how people think and behave. This makes it tough to make a clear diagnosis.
Lack of Specific Biomarkers: The results from these scans, like brain shrinkage patterns or activity of brain chemicals, can be unclear and confusing.
Costs and Accessibility: These advanced imaging methods can be costly and aren’t available everywhere, which limits how often they can be used.
To tackle these problems, researchers need to work on finding clear markers that point to specific issues. They should also improve the way we use imaging tools. This could include using machine learning, which may help us make more accurate diagnoses.