The laboratory of neuro imaging: what it is, why it is, and how it came to be

Toga, Arthur W.

doi:10.1109/tmi.2002.806432

Cited by 6 publications

(6 citation statements)

References 81 publications

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“…Speaking from our own experience, the Laboratory of Neuro Imaging (LONI), formerly based at the University of California Los Angeles (UCLA) and now based at the University of Southern California (USC), has been serving as a repository for single and multi-site neuroimaging research studies for many years (Toga 2002b). The LONI Image and Data Archive (IDA) provides a comprehensive and interactive environment for safely archiving, querying, visualizing and sharing neuroimaging clinical and neurocognitive data.…”

Section: Examples Of Big Neuroimaging Databasesmentioning

confidence: 99%

Human neuroimaging as a “Big Data” science

Horn

Toga

2013

Brain Imaging and Behavior

130

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The maturation of in vivo neuroimaging has lead to incredible quantities of digital information about the human brain. While much is made of the data deluge in science, neuroimaging represents the leading edge of this onslaught of “big data”. A range of neuroimaging databasing approaches has streamlined the transmission, storage, and dissemination of data from such brain imaging studies. Yet few, if any, common solutions exist to support the science of neuroimaging. In this article, we discuss how modern neuroimaging research represents a mutifactorial and broad ranging data challenge, involving the growing size of the data being acquired; sociologial and logistical sharing issues; infrastructural challenges for multi-site, multi-datatype archiving; and the means by which to explore and mine these data. As neuroimaging advances further, e.g. aging, genetics, and age-related disease, new vision is needed to manage and process this information while marshalling of these resources into novel results. Thus, “big data” can become “big” brain science.

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Section: Examples Of Big Neuroimaging Databasesmentioning

confidence: 99%

Human neuroimaging as a “Big Data” science

Horn

Toga

2013

Brain Imaging and Behavior

130

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“…The Laboratory of Neuro Imaging (LONI) has long had a strategy of combining collaborative research with robust computational resources to foster and environment in which the exchange of ideas, data, and techniques may flow freely (Toga 2002). An initial component of this strategy was to develop an infrastructure for storing collaborator data such that the lab’s computational resources could be leveraged in performing image analysis.…”

Section: The Loni Image Data Archive (Ida)mentioning

confidence: 99%

Is it time to re-prioritize neuroimaging databases and digital repositories?

Horn

Toga

2009

NeuroImage

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The development of in vivo brain imaging has lead to the collection of large quantities of digital information. In any individual research article, several tens of gigabytes-worth of data may be represented – collected across normal and patient samples. With the ease of collecting such data, there is increased desire for brain imaging datasets to be openly shared through sophisticated databases. However, very often the raw and pre-processed versions of these data are not available to researchers outside of the team that collected them. A range of neuroimaging databasing approaches has streamlined the transmission, storage, and dissemination of data from such brain imaging studies. Though early sociological and technical concerns have been addressed, they have not been ameliorated altogether for many in the field. In this article, we review the progress made in neuroimaging databases, their role in data sharing, data management, potential for the construction of brain atlases, recording data provenance, and value for re-analysis, new publication, and training. We feature the LONI IDA as an example of an archive being used as a source for brain atlas workflow construction, list several instances of other successful uses of image databases, and comment on archive sustainability. Finally, we suggest that, given these developments, now is the time for the neuroimaging community to re-prioritize large-scale databases as a valuable component of brain imaging science.

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“…LONI has been serving as a repository for single-site and multisite neuroimaging research studies for many years (Toga, 2002a). LONI has been serving as a repository for single-site and multisite neuroimaging research studies for many years (Toga, 2002a).…”

Section: Neuroimaging Databasing: a Particular Examplementioning

confidence: 99%

Databases

Horn¹

2015

Brain Mapping

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The laboratory of neuro imaging: what it is, why it is, and how it came to be

Cited by 6 publications

References 81 publications

Human neuroimaging as a “Big Data” science

Human neuroimaging as a “Big Data” science

Is it time to re-prioritize neuroimaging databases and digital repositories?

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