# A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's disease

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-comprehensive-analysis-of-resting-state-fmri-measures-to-classify-individual/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Frank de Vos,Marisa Koini,Tijn M. Schouten,Stephan Seiler,Jeroen van der Grond,Anita Lechner,Reinhold Schmidt,Mark de Rooij,Serge A.R.B. Rombouts |
| Citations | 203 |
| DOI | 10.1016/j.neuroimage.2017.11.025 |
| Fields | Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | http://hdl.handle.net/1887/62652 |
| OpenAlex ID | https://openalex.org/W2770349518 |
| PMID | 29155080 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Stephan Seiler](https://scholariq.org/researchers/stephan-seiler/)
- [Reinhold Schmidt](https://scholariq.org/researchers/reinhold-schmidt/)

## 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/)
- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

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