Summary of Dimensional Neuroimaging Endophenotypes: Neurobiological Representations Of Disease Heterogeneity Through Machine Learning, by Junhao Wen et al.
Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning
by Junhao Wen, Mathilde Antoniades, Zhijian Yang, Gyujoon Hwang, Ioanna Skampardoni, Rongguang Wang, Christos Davatzikos
First submitted to arxiv on: 17 Jan 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Image and Video Processing (eess.IV); Quantitative Methods (q-bio.QM)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Machine learning has revolutionized neuroimaging in diagnosing and treating neuropsychiatric and neurodegenerative disorders like Alzheimer’s disease, schizophrenia, depression, autism, and multiple sclerosis. By identifying distinct brain phenotypes, machine learning has helped understand disease heterogeneity. This review presents a systematic overview of studies using multimodal MRI and machine learning to uncover disease subtypes in various disorders, including transdiagnostic settings. The authors summarize relevant methodologies and introduce the concept of dimensional neuroimaging endophenotype (DNE), which represents brain phenotypes as low-dimensional, quantitative markers reflecting underlying genetics and etiology. DNE has potential clinical implications and future research avenues. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Machine learning is helping doctors better understand and treat brain disorders like Alzheimer’s disease, schizophrenia, and depression. It does this by looking at brain scans in a new way. The review looks at many studies that used machine learning to find patterns in brain scans. This helps us understand why people with different brain disorders might have similar symptoms. The authors also talk about a new idea called dimensional neuroimaging endophenotype, or DNE. It’s like a fingerprint for the brain that can help doctors understand what’s going on inside someone’s head. |
Keywords
* Artificial intelligence * Machine learning
