# Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/learning-brain-connectivity-of-alzheimer-s-disease-by-sparse-inverse-covariance/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shuai Huang,Jing Li,Liang Sun,Jieping Ye,Adam Fleisher,Teresa Wu,Kewei Chen,Eric M. Reiman |
| Citations | 361 |
| DOI | 10.1016/j.neuroimage.2009.12.120 |
| Fields | Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W1973612122 |
| PMID | 20079441 |
| Type | article |
| Year | 2010 |

## Paper authors

- [Jing Li](https://scholariq.org/researchers/jing-li/)

## Paper journal

- [NeuroImage](https://scholariq.org/journals/neuroimage/)

## Paper primary topic

- [Functional Brain Connectivity Studies](https://scholariq.org/topics/functional-brain-connectivity-studies/)

## Paper topics

- [Functional Brain Connectivity Studies](https://scholariq.org/topics/functional-brain-connectivity-studies/)
- [Advanced Neuroimaging Techniques and Applications](https://scholariq.org/topics/advanced-neuroimaging-techniques-and-applications/)
- [Dementia and Cognitive Impairment Research](https://scholariq.org/topics/dementia-and-cognitive-impairment-research/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.