Table 8.
Potential biomarkers from imaging studies in various MH-related disorders
Author name or study ID | Disorder | Molecular features/biological functions affected | Study summary/key findings | Source |
---|---|---|---|---|
[77] | Alzheimer’s disease (AD) | Functional and structural MRI | Functional and structural magnetic resonance imaging (MRI) can be used to indicate the changes in the cerebrospinal fluid (CSF) | Resting-state functional MRI (rfMRI) |
[78, 79] | AD | Many AD patients have amyloid-β (Aβ) plaques present in their brains long before they develop the disease. Amyloid imaging i.e., using PET tracers for detecting changes and amyloid plaques | This amyloid imaging can help with early detection purposes, but are expensive and have a hazard of radiation [78, 79] | PET; PET |
[80] | MDD | MRI reveals structural abnormalities in PFC, cingulate cortex, thalamus and hippocampus | These abnormal brain functions may also be associated with the pathogenesis of MDD and could be studied further for early diagnosis and intervention [80] | MRI |
[176] | SCZ and BD | Genetic variants of the genes GFAP [159], GLUL [160] and S100B [49, 161] associated with cytoskeletal effects manifested in brain imaging | Potential for use in early detection | Various |
Lainhart et al [81] | ASD | White matter microstructure and amygdala growth abnormalities impact brain networks in early life | Potential for use in early detection in ASD | MRI |
Sun et al [82] | ADHD | MRIs differentiate ADHD patients from controls based on cortical shape alterations | Potential biomarkers for ADHD | Anatomic and diffusion-tensor magnetic resonance (MR) imaging |
Zilcha-Mano et al. [83] | PTSD | Resting state MRIs and ML identify unique brain abnormalities for clinical differentiation and treatment response | Such an approach could be explored further for clinical use to identify clinical symptoms and treatment response [83] | Resting-state magnetic resonance images |