Nilearn statistics

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Citations per year

Number of citations per year for the bioinformatics software tool Nilearn

Tool usage distribution map

This map represents all the scientific publications referring to Nilearn per scientific context
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Associated diseases

This word cloud represents Nilearn usage per disease context

Popular tool citations

chevron_left Functional brain connectivity Image visualization 3D image analysis Image segmentation chevron_right
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Nilearn specifications


Unique identifier OMICS_28655
Name Nilearn
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
License BSD 3-clause “New” or “Revised” License
Computer skills Advanced
Version 0.4.1
Stability Stable
setuptools, Numpy, SciPy, Scikit-learn, Nibabel
Maintained Yes




No version available



  • person_outline Alexandre Abraham

Additional information

Publication for Nilearn

Nilearn citations


Automatic lesion detection and segmentation of 18F FET PET in gliomas: A full 3D U Net convolutional neural network study

PLoS One
PMCID: 5898737
PMID: 29652908
DOI: 10.1371/journal.pone.0195798
call_split See protocol

[…] times the mean value of an hemispheric swap of the predicted U-Net mask to match the procedure that was performed for ground truth. All these computations were performed using python 2.7 with numpy, nilearn and scikit-learn packages []. […]


Spatial band pass filtering aids decoding musical genres from auditory cortex 7T fMRI

PMCID: 5887073
PMID: 29707198
DOI: 10.5256/f1000research.14869.r30541

[…] terms of the size of the Gaussian filter kernel(s) described by their FWHM in mm (a conversion of this unit to (cycles/mm) is shown in Supplementary Figure 5 in ). The image_smooth() function in the nilearn package was used to implement all spatial smoothing procedures. The implementations of Gaussian low-pass (LP), and high-pass (HP) filters, as well as the DoG filters for bandpass (BP) and ban […]


Contrasting resting state fMRI abnormalities from sickle and non sickle anemia

PLoS One
PMCID: 5628803
PMID: 28981541
DOI: 10.1371/journal.pone.0184860

[…] from noisy regions-of-non-interest, namely white matter, cerebral spinal fluid, and matter outside the brain, were used as regressors, which were calculated by the CompCor method [] as implemented in Nilearn []. […]


The neural representation of personally familiar and unfamiliar faces in the distributed system for face perception

Sci Rep
PMCID: 5612994
PMID: 28947835
DOI: 10.1038/s41598-017-12559-1

[…] Volumetric results were visualized using Nilearn, and projected on template surfaces using AFNI and SUMA,. […]


Advancing functional dysconnectivity and atrophy in progressive supranuclear palsy

PMCID: 5605489
PMID: 28951832
DOI: 10.1016/j.nicl.2017.09.008

[…] work diagrams were rendered using NetworkX (, bar plots and line plots were created with Seaborn (, and brain overlay images were produced with Nilearn ( […]


Task relevance modulates the cortical representation of feature conjunctions in the target template

Sci Rep
PMCID: 5495750
PMID: 28674392
DOI: 10.1038/s41598-017-04123-8

[…] nd vice versa), and we did not want to make such assumptions. For the model-driven searchlights, we smoothed the data with a 4 mm FWHM Gaussian kernel (to keep fine spatial patterns intact) using the Nilearn Python package, and fitted an event-related hemodynamic response function (HRF) model to the smoothed dataset using NiPy. Regressors for the HRF model were determined separately for the cue pe […]

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Nilearn institution(s)
Parietal Team, INRIA Saclay-Île-de-France, Saclay, France; Neurospin, I 2BM, DSV, CEA, Gif-Sur-Yvette, France; Institute of Computer Science VI, University of Bonn, Bonn, Germany; Department of Computing, Imperial College London, London, UK; Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Paris, France
Nilearn funding source(s)
Supported by the NiConnect project and NIDA R21 DA034954, SUBSample project from the DIGITEO Institute, France.

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