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{bio,medical} informatics

Monday, September 26, 2005

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find related articles. powered by google. news.telegraph Brain image lie detector could trap terrorists

"Brain-imaging techniques are now reliable enough to detect whether a person is lying, scientists report today. They could provide a valuable tool in questioning criminals and terrorists."

""We can't predict if someone will one day use a bomb," Dr Daniel Langleben tells the journal Nature. "But we can use fMRI to distinguish true and false responses and detect concealed information about past events. Either approach or a combination of both could tell us whether X is in terrorist organisation Y.""

find related articles. powered by google. Paul Thompson Bioinformatics and Brain Imaging: Recent Advances and Neuroscience Applications

"Medical imaging and brain research are among the most challenging and fascinating topics of contemporary science. Exciting possibilities exist to improve both the state of the art in medicine and our understanding of the human brain. These opportunities have motivated many researchers to use powerful computational methods to analyze images of brain structure and function, applying them to key questions in medicine and neuroscience. Algorithms can now uncover disease-specific patterns of brain structure and function in whole populations. These tools now chart how the brain grows in childhood, detect abnormalities in disease, and visualize how genes, medication, and demographic factors affect the brain. Image analysis methods can also identify and monitor systematic patterns of altered anatomy in diseases such as Alzheimer's, tumor growth, epilepsy, and multiple sclerosis, and psychiatric disorders such as schizophrenia, autism, and dyslexia.

We briefly review recent developments in brain image analysis, focusing on (1) some of the main concepts and tools used when analyzing brain images, and (2) how to apply these tools to study key neuroscience questions relating to disease, development, and genetic influences on the brain. We describe a range of new tools that compare, contrast, and average imaging data in large human populations. We describe our construction of statistical brain atlases that store detailed information on how the brain varies across age and gender, across time, in health and disease, and over time. We also discuss some common mathematical methods that are currently being used to analyze variations in brain organization, cortical patterning, asymmetry and tissue distribution in several collaborative studies of brain development and disease (N=1000 scans)."

[ rhetoric ]

Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.


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