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http://www.brainimmune.com/

BrainImmune is a free web-based reference that provides comprehensive and up-to-date information on the broad spectrum of medical research related to brain-immune interactions and their impact on health and disease. BrainImmune is written collaboratively by experts in the field from all around the world. Here, concise summaries of basic and clinical research describe how the brain and the immune system ''talk'' to each other in order to maintain homeostasis. BrainImmune is continually updated, with articles and opinions on history, the present state of the art, and new ideas and conceptual frameworks for the neurohormonal- and stress-immune interactions and their implications for common human diseases. Our goal in developing BrainImmune is to facilitate and advance neuroendocrine-immunology research, and the communication and collaborations in this vast interdisciplinary area.

Proper citation: BrainImmune (RRID:SCR_005418) Copy   

•   Source: SciCrunch Registry

http://www.psychologytoday.com/blog/the-compass-pleasure

A blog written by David J. Linden, Ph.D., professor of Neuroscience at the Johns Hopkins University School of Medicine, focusing on the brain''s pleasure circuits. Topics covered include exercise, pleasure and the brain; and understanding the biology of runners high. The Compass of Pleasure: How Our Brains Make Fatty Foods, Orgasm, Exercise, Marijuana, Generosity, Vodka, Learning, and Gambling Feel So Good is also a book and available for purchase. David J. Linden, Ph.D., is a professor in the Department of Neuroscience at the Johns Hopkins University School of Medicine. His laboratory has worked for many years on the cellular substrates of memory storage in the brain and a few other topics. He has a longstanding interest in scientific communication and serves as the Chief Editor of the Journal of Neurophysiology. He has written two books for a general audience about the biological basis of mental function: The Compass of Pleasure (Viking Press, 2011) and The Accidental Mind (Harvard/Belknap, 2007).

Proper citation: Compass of Pleasure (RRID:SCR_004756) Copy   

•   Source: SciCrunch Registry

http://www.neuroanatomy.wisc.edu/

Training materials including Web edition modules of the neuroanatomy coursebooks used by first-year medical students at the University of Wisconsin Medical School (UWMS), videos, and images. Topics include spinal cord, brain stem, Cerebellum, Thalamus, Cranial Nerves and National Board Review practice questions.

Proper citation: UW-Madison Neuroscience Resources (RRID:SCR_001649) Copy   

•   Source: SciCrunch Registry

http://www.med.unc.edu/bric/ideagroup/free-softwares/abeat-a-toolbox-for-consistent-analysis-of-longitudinal-adult-brain-mri

A 4D adult brain extraction and analysis toolbox with graphical user interfaces to consistently analyze 4D adult brain MR images. Single-time-point images can also be analyzed. Main functions of the software include image preprocessing, 4D brain extraction, 4D tissue segmentation, 4D brain labeling, ROI analysis. Linux operating system (64 bit) is required. A computer with 8G memory (or more) is recommended for processing many images simultaneously. The graphical user interfaces and overall framework of the software are implemented in MATLAB. The image processing functions are implemented with the combination of C/C++, MATLAB, Perl and Shell languages. Parallelization technologies are used in the software to speed up image processing.

Proper citation: aBEAT (RRID:SCR_002238) Copy   

•   Source: SciCrunch Registry

http://www.utdallas.edu/bbs/

Mission of the School of Behavioral and Brain Sciences is to understand the intersection of mind, brain and behavior; enhance the health, education, and quality of life of children and families; and create and implement technologies and therapies that repair and strengthen human abilities. The School is housed in Green Hall on the main UT Dallas campus in Richardson. It also has satellite research centers and facilities in downtown Dallas.

Proper citation: University of Texas at Dallas School of Behavioral and Brain Sciences (RRID:SCR_004645) Copy   

•   Source: SciCrunch Registry

https://www.bminds.brain.riken.jp/

Web-accessible digital brain atlas of the common marmoset (Callithrix jacchus), prepared from histological sections of the marmoset brain using various staining techniques.

Proper citation: Digital Brain Atlas of the Common Marmoset (RRID:SCR_005069) Copy   

•   Source: SciCrunch Registry

http://penglab.janelia.org/proj/v3d/V3D/About_V3D.html

V3D is a handy, fast, and versatile 3D/4D/5D Image Visualization & Analysis System for Bioimages & Surface Objects. It also provides many unique functions, is Open Source, supports a very simple and powerful plugin interface and thus can be extended & enhanced easily. V3D-Neuron is a powerful 3D neuron reconstruction, visualization, and editing software built on top of V3D. Both V3D and V3D-Neuron have recently been published in Nature Biotechnology (April, 2010), and Highlighted in Nature Methods (May, 2010), and Science News (April, 2010), etc. V3D is a cross-platform (Mac, Linux, and Windows) tool for visualizing large-scale (gigabytes, and 64-bit data) 3D image stacks and various surface data. It is also a container of powerful modules for 3D image analysis (cell segmentation, neuron tracing, brain registration, annotation, quantitative measurement and statistics, etc) and data management. This makes V3D suitable for various bioimage informatics applications, and a nice platform to develop new 3D image analysis algorithms for high-throughput processing. In short, V3D streamlines the workflow of visualization-assisted analysis. In the latest V3D development, it can render 5D (spatial-temporal) data directly in 3D volume-rendering mode; it supports convenient and interactive local and global 3D views at different scales. It even has a Matlab file IO toolbox. A user can now write his/her own plugins to take advantage of the V3D platform very easily.

Proper citation: V3D (RRID:SCR_008646) Copy   

•   Source: SciCrunch Registry

http://www.research.va.gov/programs/tissue_banking/als/

A human tissue bank that collects, processes, stores and gives out research specimens for future scientific studies. Presently, the VABBB is obtaining neurologic tissue specimens from Veterans who suffer from amyotrophic lateral sclerosis (ALS) and other illnesses that affect Veterans, along with relevant clinical data, essential for research. Currently, neither the cause nor prevention of ALS is known. Medical researchers are currently examining environmental, toxic, genetic, traumatic, medical, and occupational influences as possible contributors to the development and progression of ALS. Veterans have a higher risk of developing ALS compared with non-Veterans; however, the reasons for this higher risk are currently unknown. Any Veteran with ALS in the U.S. may enroll in the VABBB.

Proper citation: VA Biorepository Brain Bank (RRID:SCR_006546) Copy   

•   Source: SciCrunch Registry

http://www.nimh.nih.gov/labs-at-nimh/research-areas/research-support-services/hbcc/index.shtml

A collection of brain tissue from individuals suffering from schizophrenia, bipolar disorder, depression, anxiety disorders, and substance abuse, as well as healthy individuals. The research mission of the NIMH Brain Bank is to better understand the underlying biological mechanisms and pathways that contribute to schizophrenia and other neuropsychiatric disorders, as well as to study normal human brain development.

Proper citation: NIMH Brain Tissue Collection (RRID:SCR_008726) Copy   

•   Source: SciCrunch Registry

http://crcns.org

Website for brain experimental data and other resources such as stimuli and analysis tools. Provides marketplace and discussion forum for sharing tools and data in neuroscience. Data repository and collaborative tool that supports integration of theoretical and experimental neuroscience through collaborative research projects. CRCNS offers funding for new class of proposals focused on data sharing and other resources.

Proper citation: CRCNS (RRID:SCR_005608) Copy   

•   Source: SciCrunch Registry

http://www.utsouthwestern.edu/education/medical-school/departments/neurology/programs/alzheimers-disease-center/brain-tissue-donation-program.html

Brain tissue donation program at the UT Southwestern Memory Clinic that aims to utilize these contributions for research on Alzheimer's. Diagnosis of Alzheimer's disease or other dementias are made through autopsy, the results of which are available to family members.

Proper citation: UT Southwestern ADC Brain Tissue Donation Program (RRID:SCR_008837) Copy   

•   Source: SciCrunch Registry

http://www.chimpanzeebrain.org/

Collection and distribution of chimpanzee neuroimaging data and postmortem brain tissue. Portal to access chimpanzee brain atlas tools, data repository, bibliography of publications, educational information, and links to other chimpanzee brain resources and datasets on the Internet. Serves as repository for in vivo structural MRI scans of chimpanzee brains, in vivo and postmortem diffusion tensor images (DTI), as well as postmortem fixed and frozen brain specimens.

Proper citation: National Chimpanzee Brain Resource (RRID:SCR_019183) Copy   

•   Source: SciCrunch Registry

http://nif.nimh.nih.gov/

Neurophysiology imaging core facility that provides anatomical and functional MRI scanning for researchers in the National Institute of Mental Health (NIMH), the National Eye Institute (NEI), and the National Institute for Neurological Disorders and Stroke (NINDS). The shared intramural resource centers on a cutting-edge 4.7T vertical bore scanner dedicated to imaging of nonhuman primates.

Proper citation: Neurophysiology Imaging Facility (RRID:SCR_004080) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-8/search?q=*

A data set of connectivity statements from BAMS, CoCoMac, BrainMaps, Connectome Wiki, the Hippocampal-Parahippocampal Table of Temporal-Lobe.com, and Avian Brain Circuitry Database. The data set lists which brain sites connectivity is to and from, the organism connectivity is mapped in, and journal references.

Proper citation: Integrated Nervous System Connectivity (RRID:SCR_006391) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/projects/bva-io/

Software package for interfacing the Brain Vision Analyser data files (load/save) for ongoing development of Matlab routines . This package is also compatible with the EEGLAB software, and may be uncompressed in the plugin folder of this software.

Proper citation: BVA import/export EEGLAB plugin (RRID:SCR_016333) Copy   

•   Source: SciCrunch Registry

https://github.com/DiedrichsenLab/DCBC/tree/v1.0.0

Software Python toolbox for brain parcellation evaluation.

Proper citation: DCBC toolbox (RRID:SCR_022176) Copy   

•   Source: SciCrunch Registry

https://www.nitrc.org/projects/rshrf

Software toolbox for resting state HRF estimation and deconvolution analysis. Matlab and Python toolbox that implements HRF estimation and deconvolution from resting state BOLD signal. Used to retrieve optimal lag between events and HRF onset, as well as HRF shape. Once that HRF has been retrieved for each voxel/vertex, it can be deconvolved from time series or one can map shape parameters everywhere in brain and use it as pathophysiological indicator. Input can be 2D GIfTI, 3D or 4D NIfTI images, but also on time series matrices/vectors. Output are three HRF shape parameters for each voxel/vertex, plus deconvolved time series, and number of retrieved pseudo events. All can be written back to GIfTI or NIfTI images.

Proper citation: Resting State Hemodynamic Response Function Retrieval and Deconvolution (RRID:SCR_023663) Copy   

•   Source: SciCrunch Registry

http://mindhacks.com/

Mind Hacks: Neuroscience and psychology tricks to find out what's going on inside your brain. Mind Hacks is also a book by Tom Stafford and Matt Webb.

Proper citation: Mind Hacks (RRID:SCR_000170) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/retro/BeijingEOEC.html

Data set of 48 healthy controls from a community (student) sample from Beijing Normal University in China with 3 resting state fMRI scans each. During the first scan participants were instructed to rest with their eyes closed. The second and third resting state scan were randomized between resting with eyes open versus eyes closed. In addition this dataset contains a 64-direction DTI scan for every participant. The following data are released for every participant: * 6-minute resting state fMRI scan (R-fMRI) * MPRAGE anatomical scan, defaced to protect patient confidentiality * 64-direction diffusion tensor imaging scan (2mm isotropic) * Demographic information and information on the counterbalancing of eyes open versus eyes closed.

Proper citation: Beijing: Eyes Open Eyes Closed Study (RRID:SCR_001507) Copy   

•   Source: SciCrunch Registry

http://neurobureau.projects.nitrc.org/ADHD200/Introduction.html

Preprocessed versions of the ADHD-200 Global Competition data including both preprocessed versions of structural and functional datasets previously made available by the ADHD-200 consortium, as well as initial standard subject-level analyses. The ADHD-200 Sample is pleased to announce the unrestricted public release of 776 resting-state fMRI and anatomical datasets aggregated across 8 independent imaging sites, 491 of which were obtained from typically developing individuals and 285 in children and adolescents with ADHD (ages: 7-21 years old). Accompanying phenotypic information includes: diagnostic status, dimensional ADHD symptom measures, age, sex, intelligence quotient (IQ) and lifetime medication status. Preliminary quality control assessments (usable vs. questionable) based upon visual timeseries inspection are included for all resting state fMRI scans. In accordance with HIPAA guidelines and 1000 Functional Connectomes Project protocols, all datasets are anonymous, with no protected health information included. They hope this release will open collaborative possibilities and contributions from researchers not traditionally addressing brain data so for those whose specialties lay outside of MRI and fMRI data processing, the competition is now one step easier to join. The preprocessed data is being made freely available through efforts of The Neuro Bureau as well as the ADHD-200 consortium. They ask that you acknowledge both of these organizations in any publications (conference, journal, etc.) that make use of this data. None of the preprocessing would be possible without the freely available imaging analysis packages, so please also acknowledge the relevant packages and resources as well as any other specific release related acknowledgements. You must be logged into NITRC to download the ADHD-200 datasets, http://www.nitrc.org/projects/neurobureau

Proper citation: ADHD-200 Preprocessed Data (RRID:SCR_000576) Copy   

•   Source: SciCrunch Registry