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Erschienen in: Neuroinformatics 4/2013

01.10.2013 | Editorial

Connecting Connectomes

verfasst von: Maryann E. Martone, Giorgio A. Ascoli

Erschienen in: Neuroinformatics | Ausgabe 4/2013

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New techniques and paradigms in neuroscience have drastically increased the amount and diversity of experimental measurements and simulation results to be handled and processed. This development requires new approaches for data storage, sharing, analysis, co-registration, search, and exchange. As often discussed in the pages of this journal, the design and implementation of broadly accepted and generalizable solutions will critically rely on both community-driven initiatives and standardization. The recent announcements of the Human Brain Project (HBP) by the European Community1 and of the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) initiative by the US government2 are expected to further accelerate the pace of data production in neuroscience and should thus exacerbate the need for neuroinformatics-based integration efforts. Both of these large-scale efforts, in fact, recognized the challenge from the start and promise to address it with somehow complementary strategies. …

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Fußnoten
1
humanbrainproject.eu
 
2
en.wikipedia.org/wiki/BRAIN_Initiative
 
3
De Schutter, E., Ascoli, G. A., & Kennedy, D. N. (2006) On the future of the human brain project. Neuroinformatics. 4(2), 129–30.
 
4
Sporns, O., Tononi, G., & Kötter, R. (2005). The human connectome: a structural description of the human brain. PLoS Comput Biol, 1(4), e42.
 
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Jones, D. K., Knösche, T. R., & Turner, R. (2013). White matter integrity, fiber count, and other fallacies: the do’s and don’ts of diffusion MRI. Neuroimage, 73, 239–54
 
6
Breakspear, M. (2004). “Dynamic” connectivity in neural systems: theoretical and empirical considerations. Neuroinformatics. 2(2), 205–26.
 
7
humanconnectome.org and humanconnectomeproject.org
 
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fcon_1000.projects.nitrc.org – see also Kenned, D. N. (2010). Making connections in the connectome era. Neuroinformatics. 8(2), 61–2.
 
9
brainarchitecture.org
 
10
mouseconnectome.org
 
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connectivity.brain-map.org
 
12
braincusi.org – see also Bota, M., Dong, H. W., & Swanson, L. W. (2005). Brain architecture management system. Neuroinformatics. 3(1), 15–48.
 
13
janelia.org/team-project/fly-em
 
14
connectomes.org
 
15
neuro.mpg.de/connectomics
 
16
Maglione, M., Sigrist, S. J. (2013). Seeing the forest tree by tree: super-resolution light microscopy meets the neurosciences. Nat Neurosci. 16(7), 790–7.
 
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Micheva, K. D., Bruchez, M. P. (2012) The gain in brain: novel imaging techniques and multiplexed proteomic imaging of brain tissue ultrastructure. Curr Opin Neurobiol. 22(1), 94–100.
 
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Kim J., Zhao, T., Petralia, R. S., Yu, Y., Peng, H., Myers, E., Magee, J. C. (2011). mGRASP enables mapping mammalian synaptic connectivity with light microscopy. Nat Methods. 9(1), 96–102.
 
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Kasthuri, N., Lichtman, J. W. (2007). The rise of the ‘projectome’. Nat Methods. 4(4), 307–8.
 
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DeFelipe, J. (2010) From the connectome to the synaptome: an epic love story. Science. 330(6008), 1198–201.
 
24
See e.g. openconnectomeproject.org
 
25
Ascoli, G. A. (2013). The mind-brain relationship as a mathematical problem. ISRN Neuroscience, 2013, Article ID 261364, 13 pages. http://​dx.​doi.​org/​10.​1155/​2013/​261364
 
26
neuinfo.org
 
27
Larson, S. D., Martone, M. E. (2013). NeuroLex.org: an online framework for neuroscience knowledge. Front Neuroinform. 7, 18.
 
28
incf.org
 
29
pons.incf.org
 
30
incf.org/programs/pons/neuron-registry
 
31
Hamilton D. J., Shepherd, G. M., Martone, M. E., & Ascoli, G. A. (2012). An ontological approach to describing neurons and their relationships. Front Neuroinform. 6, 15.
 
32
NeuroMorpho.Org
 
33
neuroelectro.org
 
34
neurolex.org/wiki/Category:Neuron
 
35
neurolex.org/wiki/Neuron_Curation_Home
 
Metadaten
Titel
Connecting Connectomes
verfasst von
Maryann E. Martone
Giorgio A. Ascoli
Publikationsdatum
01.10.2013
Verlag
Springer US
Erschienen in
Neuroinformatics / Ausgabe 4/2013
Print ISSN: 1539-2791
Elektronische ISSN: 1559-0089
DOI
https://doi.org/10.1007/s12021-013-9207-0

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