Debian Science Project
Summary
Cognitive Neuroscience
Debian Science packages for Cognitive Neuroscience

This metapackage will install Debian packages which might be useful for scientists doing cognitive neuroscience research. This comprises the full research process from conducting psychophysical experiments, over data acquisition and analysis, to visualization and typesetting of scientific results.

The selection of packages is targeting the application of analysis techniques. Methods developers are referred to the science-statistics, science-imageanalysis, science-numericalcomputation, med-imaging, and med-imaging-dev metapackages for a variety of additional software that might be useful in the context of cognitive neuroscience.

Description

For a better overview of the project's availability as a Debian package, each head row has a color code according to this scheme:

If you discover a project which looks like a good candidate for Debian Science to you, or if you have prepared an unofficial Debian package, please do not hesitate to send a description of that project to the Debian Science mailing list

Links to other tasks

Debian Science Cognitive Neuroscience packages

Official Debian packages with high relevance

amide
software for Medical Imaging
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AMIDE: (Amide's a Medical Imaging Data Examiner) AMIDE is a tool for viewing and analyzing medical image data sets. It's capabilities include the simultaneous handling of multiple data sets imported from a variety of file formats, image fusion, 3D region of interest drawing and analysis, volume rendering, and rigid body alignments.

Amide imports most clinical DICOM files (using the DCMTK library).

Please cite: Andreas Markus Loening and Sanjiv Sam Gambhir: AMIDE: A Free Software Tool for Multimodality Medical Image Analysis. (PubMed) Molecular Imaging 2(3):131-7 (2003)
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caret
??? missing short description for package caret :-(
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Please cite: David C. Van Essen, Heather A. Drury, James Dickson, John Harwell, Donna Hanlon and Charles H. Anderson: An Integrated Software Suite for Surface-based Analyses of Cerebral Cortex. (PubMed,eprint) Journal of American Medical Informatics Association 8(5):443-459 (2001)
dicom3tools
Інструменти для обробки та перетворення медичних зображень DICOM
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Утиліти командного рядка для створення, зміни, вивантаження та перевірки файлів з DICOM-атрибутами. Підтримується перетворення деяких пропрієтарних форматів в DICOM. Можлива робота з більш старим форматом даних ACR/NEMA та деякими пропрієтарними версіями цього формату, такими як SPI.

dicomnifti
Конвертує файли DICOM у формат NIfTI
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Програма dinifti конвертує зображення MRI у форматі DICOM у формат NIfTI. Під форматом NIfTI розуміється новий стандарт формату зображень для медичних зображень, і він може використовуватися, наприклад, з FSL, AFNI, SPM, Caret чи Freesurfer.

dinifti конвертує окремі файли, але також підтримує повністю автоматичне пакетне перетворення каталогів з файлами dicom. Одержувані, в результаті перетворення, файли NIfTI можуть отримувати ім’я на основі серійної інформації файлів DICOM.

fslview
??? missing short description for package fslview :-(
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Please cite: S.M. Smith, M. Jenkinson, M.W. Woolrich, C.F. Beckmann, T.E.J. Behrens, H. Johansen-Berg, P.R. Bannister, M. De Luca, I. Drobnjak, D.E. Flitney, R. Niazy, J. Saunders, J. Vickers, Y. Zhang, N. De Stefano, J.M. Brady and P.M. Matthews: Advances in functional and structural MR image analysis and implementation as FSL. (PubMed) NeuroImage 23:208-219 (2004)
itksnap
Напівавтоматична сегментація структур в 3D-зображеннях
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SNAP надає можливість напівавтоматичної сегментації структур в медичних зображеннях (наприклад, магнітно-резонансних зображеннях мозку) за допомогою методу активних контурів, а також ручного розмежування та навігації по зображенню. Слід відзначити такі можливості:

  • прив’язка курсору для плавної 3D-навігації;
  • ручна сегментація одночасно в трьох ортогональних проекціях;
  • підтримка різних форматів 3D-зображень, включаючи NIfTI;
  • одночасний перегляд й сегментація декількох зображень;
  • обмежена підтримка кольорових зображень (наприклад, карти тензора дифузії);
  • інструмент обрізки 3D-проекції для прискорення подальшої обробки результатів сегментації.
Please cite: Paul A. Yushkevich, Joseph Piven, Heather Cody Hazlett, Rachel Gimpel Smith, Sean Ho, James C. Gee and Guido Gerig: User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. Neuroimage 31:1116-1128 (2006)
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medcon
Medical Image (DICOM, ECAT, ...) conversion tool
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This project stands for Medical Image Conversion. Released under the (L)GPL, it comes with the full C-source code of the library, a flexible command line utility and a neat graphical front-end using the GTK+ toolkit. The currently supported formats are: Acr/Nema 2.0, Analyze (SPM), DICOM 3.0, InterFile 3.3 and PNG.

The program also allows one to read unsupported files without compression, to print pixel values or to extract/reorder specified images. It is possible to retrieve the raw binary/ascii image arrays or to write PNG for desktop applications.

This is the command line tool for batch processing.

minc-tools
MNI medical image format tools
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This package contains tools to manipulate MINC files.

The Minc file format is a highly flexible medical image file format built on top of the NetCDF generalized data format. The format is simple, self-describing, extensible, portable and N-dimensional, with programming interfaces for both low-level data access and high-level volume manipulation. On top of the libraries is a suite of generic image-file manipulation tools. The format, libraries and tools are designed for use in a medical-imaging research environment: they are simple and powerful and make no attempt to provide a pretty interface to users.

mriconvert
Утиліта перетворення медичних зображень
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MRIConvert — утиліта конвертування файлів з медичними зображеннями, яка перетворює файли об’ємних зображень DICOM NIfTI 1.1, Analyze 7.5, SPM99/Analyze, BrainVoyager та MetaImage.

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mricron
Перетворення, перегляд і аналіз знімків магнітно-резонансної томографії
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Інструмент з графічним інтерфейсом для візуалізації та аналізу (Функціональної) магнітно-резонансної томографії. MRIcron може бути використаний для створення 2D і 3D візуалізацій статистичних накладних мап анатомічних зображень мозку. Крім того, він допомагає у промальовуванні анатомічних „областей інтересу“ (ROI), або відображенні ушкоджень, а також базового аналізу функціональних часових послідовностей (таймсерій) (наприклад, створення графіків зміни сигналу перистимулів).

На додаток до „mricron“ пакунок містить утиліту „dcm2nii“, яка підтримує перетворення зображень DICOM та PAR/REC у формат NIfTI, а також утиліту „npm“ для непараметричного аналізу даних.

Please cite: Chris Rorden, Hans-Otto Karnath and Leonardo Bonilha: Improving lesion-symptom mapping. (PubMed) Journal of Cognitive Neuroscience 19(7):1081-1088 (2007)
nifti-bin
tools shipped with the NIfTI library
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Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images.

This package provides the tools that are shipped with the library (nifti_tool, nifti_stats and nifti1_test).

nifti2dicom
convert 3D medical images to DICOM 2D series
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Nifti2Dicom is a conversion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS.

This package includes the command line tools.

praat
program for speech analysis and synthesis
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According to its authors, praat is "doing phonetics by computer". Through its graphical interface, several speech analysis functionalities are available: spectrograms, cochleograms, and pitch and formant extraction. Articulatory synthesis, as well as synthesis from pitch, formant, and intensity are also available. Other features are segmentation, labelling using the phonetic alphabet, and computation of statistics. Praat is configurable and extensible through its own scripting language and has provisions for communicating with other programs.

Please cite: Paul Boersma: Praat, a system for doing phonetics by computer. Glot International 5(9/10):341-345 (2001)
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psignifit
Fitting and testing hypotheses about psychometric functions
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Psignifit allows fitting of psychometric functions to datasets while maintaining full control over a large number of parameters. Data can either be read from text files or passed through a pipe.

Psignifit performs the calculation of confidence intervals as well as goodness-of-fit tests.

This is the command line version.

Please note: This is the legacy version 2.x of psignifit.

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python3-nibabel
Python3 bindings to various neuroimaging data formats
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NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI.

python3-pydicom
DICOM medical file reading and writing (Python 3)
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pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects.

pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files.

This package installs the module for Python 3.

python3-pyxnat
Interface to access neuroimaging data on XNAT servers
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pyxnat is a simple Python library that relies on the REST API provided by the XNAT platform since its 1.4 version. XNAT is an extensible database for neuroimaging data. The main objective is to ease communications with an XNAT server to plug-in external tools or Python scripts to process the data. It features:

  • resources browsing capabilities
  • read and write access to resources
  • complex searches
  • disk-caching of requested files and resources
python3-statsmodels
Python3 module for the estimation of statistical models
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statsmodels Python3 module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for several distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem.

Please cite: Skipper Seabold and Josef Perktold: Statsmodels: Econometric and statistical modeling with python (eprint) (2010)
qnifti2dicom
convert 3D medical images to DICOM 2D series (gui)
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Nifti2Dicom is a conversion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS.

This package contains the Qt5 GUI.

voxbo
Обробка, статистичний аналіз та перегляд знімків головного мозку
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Це інструмент для аналізу даних, отриманих у функціональних нейровізуалізаційних експериментах (головним чином ФМРТ), та аналізу просторових зв’язків патологій. VoxBo підтримує модифіковані узагальнені лінійні моделі (GLM) для автокорельованих даних, окрім стандартних. Є можливість обміну даними з AFNI, FSL, SPM та іншими інструментами.

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xmedcon
Medical Image (DICOM, ECAT, ...) conversion tool (GUI)
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This project stands for Medical Image Conversion. Released under the (L)GPL, it comes with the full C-source code of the library, a flexible command line utility and a neat graphical front-end using the GTK+ toolkit. The currently supported formats are: Acr/Nema 2.0, Analyze (SPM), DICOM 3.0, InterFile 3.3 and PNG.

The program also allows one to read unsupported files without compression, to print pixel values or to extract/reorder specified images. It is possible to retrieve the raw binary/ascii image arrays or to write PNG for desktop applications.

This is the program version for X based on GTK+. Processes only one file at a time.

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Official Debian packages with lower relevance

connectomeviewer
Interactive Analysis and Visualization for MR Connectomics
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The Connectome Viewer is a extensible, scriptable, pythonic research environment for visualization and (network) analysis in neuroimaging and connectomics.

Employing the Connectome File Format, diverse data types such as networks, surfaces, volumes, tracks and metadata are handled and integrated. The Connectome Viewer is part of the MR Connectome Toolkit.

Please cite: Gerhard S, Daducci A, Lemkaddem A, Meuli R, Thiran J-P and Hagmann P: The Connectome Viewer Toolkit: An open source framework to manage, analyze, and visualize connectomes. (2011)
python-mvpa2
??? missing short description for package python-mvpa2 :-(
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The package is enhanced by the following packages: python-mdp python-sklearn
python3-bioxtasraw
process biological small angle scattering data
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BioXTAS RAW is a GUI based, Python program for reduction and analysis of small-angle X-ray solution scattering (SAXS) data. The package is designed for biological SAXS data.

BioXTAS RAW provides an alternative to closed source programs such as Primus and Scatter for primary data analysis. Because it can calibrate, mask, and integrate images it also provides an alternative to synchrotron beamline pipelines that scientists can install on their own computers and use both at home and at the beamline.

science-psychophysics
Debian Science packages for Psychophysics
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This metapackage will install Debian packages which might be useful for carrying out any experiment relating physical stimuli and their psychological effects.

The selection of packages is targeting software for stimuli delivery. For additional software related to the analysis of the acquired data refer to science-neuroscience-cognitive, med-imaging depending on the domain of application. Additionally look into science-bci since those often provide a complete loop frameworks including stimuli delivery.

science-typesetting
Науковий набір Debian — пакунки з верстання
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Цей збірний пакунок встановить усі пакунки з Наукового набору Debian, що стосуються верстання та набору текстів. Вас також зацікавить поле use::typesetting у debtag.

Debian packages in contrib or non-free

fsl
transitional dummy package
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The only purpose of this package is to enable upgrades to the new 'fsl-core' package which replaces 'fsl'. This package can safely be removed.

Users aiming to perform a complete FSL installation (including all data components) are advised to install the 'fsl-complete' package from NeuroDebian.

Please cite: Mark Jenkinson, Christian F. Beckmann, Timothy E. J. Behrens, Mark W. Woolrich and Stephen M. Smith: FSL. (PubMed) NeuroImage 62(2):782-790 (2012)

Packaging has started and developers might try the packaging code in VCS

bioimagesuite
integrated image analysis software suite
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Version: 2.0-1

BioImage Suite has extensive capabilities for both neuro/cardiac and abdominal image analysis and state of the art visualization. Many packages are available that are highly extensible, and provide functionality for image visualization and registration, surface editing, cardiac 4D multi-slice editing, diffusion tensor image processing, mouse segmentation and registration, and much more. It can be integrated with other biomedical image processing software, such as FSL and SPM. This site provides information, downloads, documentation, and other resources for users of the software.

BioImage Suite was developed at Yale University and has been extensively used at different labs at Yale since 2004.

Please cite: X. Papademetris, M. Jackowski, N. Rajeevan, R. T. Constable and L. Staib: BioImage Suite: An integrated medical image analysis suite. (eprint) Insight Journal (2005)
Remark of Debian Science team: How to work together with upstream

There is a forum at BioImage Suite site for discussion of compiling it from source and packaging issues at http://research.yale.edu/bioimagesuite/forum/index.php?board=12.0

debruijn
De Bruijn cycle generator
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Version: 1.6-2

Stimulus counter-balance is important for many experimental designs. This command-line software creates De Bruijn cycles, which are pseudo-random sequences with arbitrary levels of counterbalance. "Path-guided" de Bruijn cycles may also be created. These sequences encode a hypothesized neural modulation at specified temporal frequencies, and have enhanced detection power for BOLD fMRI experiments.

freesurfer
analysis and visualization of functional brain imaging data
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FreeSurfer is a set of tools for analysis and visualization of structural and functional brain imaging data. It contains a fully automatic structural stream for processing cross sectional and longitudinal data.

FreeSurfer provides many anatomical analysis tools, including: representation of the cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from the rest of the brain, skull stripping, B1 bias field correction, nonlinear registration of the cortical surface of an individual with an sterotaxic atlas, labeling of regions of the cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures, etc.

This package depends upon the latest version of freesurfer.

Please cite: A. M. Dale, B. Fischl and M. I. Sereno: Cortical surface-based analysis. I. Segmentation and surface reconstruction. (PubMed) Neuroimage 9(2):179-94 (1999)
Remark of Debian Science team: The 'tktools' (tkmedit, tksurfer and tkregister2) under the
 CorTechs license are not readily redistributable thus excluded.
openmeeg-tools
openmeeg library -- command line tools
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Version: 2.4.2-1

OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography).

This package provides command line interface to openmeeg functionality.

Please cite: Alexandre Gramfort, Théodore Papadopoulo, Emmanuel Olivi and Maureen Clerc: OpenMEEG: opensource software for quasistatic bioelectromagnetics. (PubMed,eprint) BioMedical Engineering OnLine 9:45 (2010)
slicer
software package for visualization and image analysis - main application
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License: free
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Version: 4.10.2-1

Slicer is an application for computer scientists and clinical researchers. The platform provides functionality for segmentation, registration and three-dimensional visualization of multi-modal image data, as well as advanced image analysis algorithms for diffusion tensor imaging, functional magnetic resonance imaging and image-guided therapy. Standard image file formats are supported, and the application integrates interface capabilities to biomedical research software and image informatics frameworks.

3D Slicer main application.

Please cite: Steven Pieper, Michael Halle, Ron Kikinis: 3D SLICER. (2004)
xnat
platform for data management and productivity tasks in neuroimaging
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Version: 1.7.5.1-1

The primary functionality of XNAT is to provide a place to store and control access to neuroimaging data. This includes sophisticated user control, search and retrieval, and archiving capabilities. As open-source software, XNAT also supports a wide variety of research-based processing pipelines, and is able to link up with supercomputer processing power to dramatically shorten image processing time.

Please cite: Daniel S. Marcus, Timothy R. Olsen, Mohana Ramaratnam and Randy L. Buckner: The Extensible Neuroimaging Archive Toolkit (XNAT): An informatics platform for managing, exploring, and sharing neuroimaging data.. (PubMed,eprint) Neuroinformatics 5(1):11-34 (2007)

Unofficial packages built by somebody else

eeglab
toolbox for processing and visualization of electrophysiological data
Responsible: NeuroDebian Team
License: GPL-2+
Language: C, Matlab/Octave

EEGLAB is an interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data.

Please register by following this link if you are using eeglab.
Please cite: Delorme A and Makeig S: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics (2004)
mni-autoreg
MNI average brain (305 MRI) stereotaxic registration model
Responsible: Michael Hanke
License: no-free, but GPLed parts

This package provides a version of the MNI Average Brain (an average of 305 T1-weighted MRI scans, linearly transformed to Talairach space) specially adapted for use with the MNI Linear Registration Package.

  • average_305.mnc - a version of the average MRI that covers the whole brain (unlike the original Talairach atlas), sampled with 1mm cubic voxels
  • average_305_mask.mnc - a mask of the brain in average_305.mnc
  • average_305_headmask.mnc - another mask, required for nonlinear mode

Remark: Michael Hanke agreed to take over his stuff from mentors http://mentors.debian.net/cgi-bin/sponsor-pkglist?action=details;package=mni-autoreg and http://mentors.debian.net/cgi-bin/sponsor-pkglist?action=details;package=mni-autoreg-model to Debian Med svn and start group maintenance.

mni-n3
MNI Non-parametric Non-uniformity Normalization
Responsible: Michael Hanke
License: BSDish

MNI Non-parametric Non-uniformity Normalization (N3). This package provides the 'nu_correct' tool for unsupervised correction of radio frequency (RF) field inhomogenities in MR volumes. Two packages are provided:

  • mni-n3 - provides 'nu_correct'
  • libebtks-dev - MNI support library with numerical types and algorithms

Remark: Michael Hanke agreed to take over his stuff from mentors http://mentors.debian.net/cgi-bin/sponsor-pkglist?action=details;package=mni-n3 to Debian Med svn and start group maintenance.

No known packages available but some record of interest (WNPP bug)

fieldtrip - wnpp
toolbox for MEG and EEG analysis
License: GPL-2+
Debian package not available
Language: Matlab/Octave

The software includes algorithms for simple and advanced analysis of MEG and EEG data, such as time-frequency analysis, source reconstruction using dipoles, distributed sources and beamformers and non-parametric statistical testing. It supports the data formats of all major MEG systems (CTF, Neuromag, BTi) and of the most popular EEG systems, and new formats can be added easily. FieldTrip contains high-level functions that you can use to construct your own analysis protocols in Matlab. Furthermore, it easily allows developers to incorporate low-level algorithms for new EEG/MEG analysis methods.

Remark of Debian Science team: The NIMH distributes a "port" of fieldtrip to Octave (at

http://kurage.nimh.nih.gov/meglab/Meg/Software). It needs to be figured out whether this port can be incorporated into the official version, and to what degree it is complete. Packaging fieldtrip is required to complete the packaging of SPM8.

pysurfer - wnpp
visualize Freesurfer's data in Python
Responsible: NeuroDebian Team
License: BSD-3
Debian package not available
Language: Python

This is a Python package for visualization and interaction with cortical surface representations of neuroimaging data from Freesurfer. It extends Mayavi’s powerful visualization engine with a high-level interface for working with MRI and MEG data.

PySurfer offers both a command-line interface designed to broadly replicate Freesurfer’s Tksurfer program as well as a Python library for writing scripts to efficiently explore complex datasets.

spm8 - wnpp
analysis of brain imaging data sequences
Responsible: NeuroDebian team
License: GPL-2+
Debian package not available

Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG.

Please register by following this link if you are using spm8.
Please cite: Karl J. Friston, John T. Ashburner, Stephen Kiebel, Thomas E. Nichols and William D. Penny: Statistical Parametric Mapping: The Analysis of Functional Brain Images.. (2007)
Remark of Debian Science team: This software is written for matlab, but initial tests indicate that

some (significant) portion of it might also work with octave. More tests are pending...

No known packages available

brainvisa
image processing factory for MR images
License: Free? (CeCill License)
Debian package not available

BrainVISA is a software, which embodies an image processing factory. A simple control panel allows the user to trigger some sequences of treatments on series of images. These treatments are performed by calls to command lines provided by different laboratories. These command lines, hence, are the building blocks on which are built the assembly lines of the factory. BrainVISA is distributed with a toolbox of building blocks dedicated to the segmentation of T1-weighted MR images. The product of the main assembly line made up from this toolbox is the following: grey/white classification for Voxel Based Morphometry, Meshes of each hemisphere surface for visualization purpose, Spherical meshes of each hemisphere white matter surface, a graph of the cortical folds, a labeling of the cortical folds according to a nomenclature of the main sulci.

hid
database management system for clinical imaging
License: BSD, BIRN
Debian package not available
Language: java

The Human Imaging Database (HID) is an extensible database management system developed to handle the increasingly large and diverse datasets collected as part of the MBIRN and FBIRN collaboratories and throughout clinical imaging communities at large.

Please register by following this link if you are using hid.
Please cite: Keator, D.B.; Grethe, J.S.; Marcus, D.; Ozyurt, B.; Gadde, S.; Murphy, S.; Pieper, S.; Greve, D.;Notestine, R.; Bockholt, H.J.; Papadopoulos, P.: A National Human Neuroimaging Collaboratory Enabled By The Biomedical Informatics Research Network (BIRN) (2008)
iqr
large-scale multi-level neuronal systems simulator
Responsible: NeuroDebian team
License: GPL-3+
Debian package not available

This graphical environment allows for designing large-scale multi-level neuronal systems that can control real-world devices, such as cameras and mobile robots, in real-time. iqr is an extensible framework with the ability to handle new, user-provided, neuron and synapse types, as well as custom interfaces to other hardware systems. iqr employes an XML-based format for system descriptions.

Please cite: Ulysses Bernardet, Paul F.M.J. Verschure: iqr: A tool for the construction of multi-level simulations of brain and behaviour.. (2010)
*Popularitycontest results: number of people who use this package regularly (number of people who upgraded this package recently) out of 247608