Data warehousing methods and processing infrastructure for brain recovery research.
Arch Ital Biol
; 148(3): 207-17, 2010 Sep.
Article
em En
| MEDLINE
| ID: mdl-21175009
ABSTRACT
In order to accelerate translational neuroscience with the goal of improving clinical care it has become important to support rapid accumulation and analysis of large, heterogeneous neuroimaging samples and their metadata from both normal control and patient groups. We propose a multi-centre, multinational approach to accelerate the data mining of large samples and facilitate data-led clinical translation of neuroimaging results in stroke. Such data-driven approaches are likely to have an early impact on clinically relevant brain recovery while we simultaneously pursue the much more challenging model-based approaches that depend on a deep understanding of the complex neural circuitry and physiological processes that support brain function and recovery. We present a brief overview of three (potentially converging) approaches to neuroimaging data warehousing and processing that aim to support these diverse methods for facilitating prediction of cognitive and behavioral recovery after stroke, or other types of brain injury or disease.
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Base de dados:
MEDLINE
Assunto principal:
Sistemas de Gerenciamento de Base de Dados
/
Lesões Encefálicas
/
Biologia Computacional
/
Recuperação de Função Fisiológica
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2010
Tipo de documento:
Article