Brain Graph Interface
We will analyze variations in brain anatomy and create the first integrated software environment to extract patterns from brains and target differences related to inter-individual variability, pathology, development, or degeneration. We will evaluate how well these differences can help diagnose a...
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| Format: | Article |
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Pensoft Publishers
2016-04-01
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| Series: | Research Ideas and Outcomes |
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| Online Access: | https://riojournal.com/article/8817/ |
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doaj-281877c92fcd4af3bee73d9e2bff7211 |
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doaj-281877c92fcd4af3bee73d9e2bff72112020-11-25T01:58:14ZengPensoft PublishersResearch Ideas and Outcomes2367-71632016-04-01211610.3897/rio.2.e88178817Brain Graph InterfaceArno Klein0Columbia Unversity We will analyze variations in brain anatomy and create the first integrated software environment to extract patterns from brains and target differences related to inter-individual variability, pathology, development, or degeneration. We will evaluate how well these differences can help diagnose and predict treatment outcome for major depressive disorder, which affects millions of Americans, but our work is intended to be applied to any mental illness, such as Alzheimer’s disease, bipolar disorder, schizophrenia – indeed to analyze differences in brain anatomy between any two populations. https://riojournal.com/article/8817/brain imaginggraphical displayinterfacein |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Arno Klein |
| spellingShingle |
Arno Klein Brain Graph Interface Research Ideas and Outcomes brain imaging graphical display interface in |
| author_facet |
Arno Klein |
| author_sort |
Arno Klein |
| title |
Brain Graph Interface |
| title_short |
Brain Graph Interface |
| title_full |
Brain Graph Interface |
| title_fullStr |
Brain Graph Interface |
| title_full_unstemmed |
Brain Graph Interface |
| title_sort |
brain graph interface |
| publisher |
Pensoft Publishers |
| series |
Research Ideas and Outcomes |
| issn |
2367-7163 |
| publishDate |
2016-04-01 |
| description |
We will analyze variations in brain anatomy and create the first integrated software environment to extract patterns from brains and target differences related to inter-individual variability, pathology, development, or degeneration. We will evaluate how well these differences can help diagnose and predict treatment outcome for major depressive disorder, which affects millions of Americans, but our work is intended to be applied to any mental illness, such as Alzheimer’s disease, bipolar disorder, schizophrenia – indeed to analyze differences in brain anatomy between any two populations.
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| topic |
brain imaging graphical display interface in |
| url |
https://riojournal.com/article/8817/ |
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AT arnoklein braingraphinterface |
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1724970780425453568 |