Lecturas importantes
- Why Most Published Research Findings Are False: http://robotics.cs.tamu.edu/RSS2015NegativeResults/pmed.0020124.pdf
- 1,500 scientists lift the lid on reproducibility: https://www.nature.com/news/1-500-scientists-lift-the-lid-on-reproducibility-1.19970
- Power failure: why small sample size undermines the reliability of neuroscience: https://www.nature.com/articles/nrn3475
- A manifiesto for reproducible science: https://www.nature.com/articles/s41562-016-0021.pdf
- Scanning the Horizon: Towards transparent and reproducible neuroimaging research: https://www.biorxiv.org/content/biorxiv/early/2016/10/25/059188.full.pdf
- Best Practices in Data Analysis and Sharing in Neuroimaging using MRI: https://www.biorxiv.org/content/biorxiv/early/2016/05/20/054262.full.pdf
Sitios de interés
- Center for reproducible neuroscience: http://reproducibility.stanford.edu
- Human Connectome Project: https://www.humanconnectome.org
Herramientas
- p-hacker: http://shinyapps.org/apps/p-hacker/
- NeuroPowerTools: http://neuropowertools.org
- BIDS: http://bids.neuroimaging.io
- Neurosynth: http://neurosynth.org
- Nipype: http://nipype.readthedocs.io/en/latest/
- Jupyter: http://jupyter.org
- Docker: https://www.docker.com
- Github: https://github.com/topics/neuroscience
- Open Science Framework: https://osf.io
- ClinicalTrials: https://clinicaltrials.gov
Bases de datos libres
- OASIS: http://www.oasis-brains.org
- Child Mind Institute: http://fcon_1000.projects.nitrc.org
- NKI: http://fcon_1000.projects.nitrc.org/indi/pro/nki.html
- ABIDE: http://fcon_1000.projects.nitrc.org/indi/abide/
- Neurovault: https://neurovault.org
- OpenfMRI: https://openfmri.org
- Un ejemplo de HCP: https://www.humanconnectome.org/study/hcp-young-adult/data-releases
- ADNI: http://adni.loni.usc.edu
- FSL:https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FslInstallation
- SPM: http://www.fil.ion.ucl.ac.uk/spm/
- CONN: https://www.nitrc.org/projects/conn
- AFNI: https://afni.nimh.nih.gov
Programación
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Bash:
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MATLAB:
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Python:
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R:
- Python y Neuroimagen: http://nipy.org
- R y Neuroimagen: https://neuroconductor.org
- Python y paradigmas experimentales: http://www.psychopy.org
- Máquina virtual con todo lo esencial para fMRI: http://neuro.debian.net
¿Cómo puedo seguir aprendiendo acerca de neuroimagen?
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Neuroimaging Tutorials: https://talks.stanford.edu/tutorials/neuroimaging-tutorials/
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Neuroimaging Analysis within R: http://johnmuschelli.com/imaging_in_r/
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Introduction to Neurohacking In R: https://www.coursera.org/learn/neurohacking
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Dos excelentes cursos en línea (gratuitos), enfocado en las bases y los avances recientes en el campo de fMRI (principalmente conceptual):
- Principles of fMRI 1: https://www.coursera.org/learn/functional-mri
- Principles of fMRI 2: https://www.coursera.org/learn/functional-mri-2
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Blog con tutoriales de fMRI: http://andysbrainblog.blogspot.mx; http://www.fmri4newbies.com/tutorials/
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Resources for data driven neuroscientists: https://pbeukema.github.io/LabHacks/
Libros
- Functional Magnetic Resonance Imaging: http://sites.sinauer.com/fmri3e/
- Handbook of Functional MRI Data Analysis: http://www.fmri-data-analysis.org
- Handbook of Neuroimaging Data Analysis: https://www.crcpress.com/Handbook-of-Neuroimaging-Data-Analysis/Ombao-Lindquist-Thompson-Aston/p/book/9781482220971
Artículos
- The Statistical Analysis of fMRI Data. http://www.stat.columbia.edu/~martin/Papers/STS282.pdf
- Nature focus on human brain mapping: http://www.nature.com/neuro/focus/humanbrainmapping/index.html
Neuroimagen y psiquiatría
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The Challenges and Promise of Neuroimaging in Psychiatry http://www.cell.com/neuron/pdf/S0896-6273(11)01095-6.pdf
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Computational psychiatry as a bridge from neuroscience to clinical applications. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443409/pdf/nihms869778.pdf
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Neuroimaging in psychiatry: bringing neuroscience into clinical practice. http://bjp.rcpsych.org/content/bjprcpsych/201/1/1.full.pdf
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Neuroimaging in psychiatry: from bench to bedside. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2807751/pdf/fnhum-03-049.pdf
Contacto:
Dr. Eduardo Garza-Villarreal: [email protected]; Josué Mendoza: [email protected]