A study published today in the open access journal BMC Medicine reveals that monitoring changes in grey matter density over time using brain scans could help early detection of individuals who are likely to develop schizophrenia, when used in combination with other prediction methods.
Dominic Job and colleagues from the University of Edinburgh in the UK analysed the brain scans of 65 individuals known to be at risk for schizophrenia because members of their family had suffered from it. The scans were generated using structural magnetic resonance imaging techniques (sMRI). Job et al. analysed changes in grey matter density in the scans, over a period of 18 months. Eight of the individuals studied went on to develop schizophrenia, on average 2.3 years after the brain scans were collected.
Job et al.’s results show that a reduction in grey matter density over time could be used as an indicator that an individual who is at risk will develop schizophrenia. Sixty percent of the individuals who according to Job et al.’s results were likely to develop schizophrenia, because they showed a reduction in grey matter in one part of their brain called the temporal gyrus, did develop the condition. Over 90% of the individuals who according to Job et al.’s predictions would not develop schizophrenia, did not develop it. Job et al.’s predictions could be used to assess possibilities for preventing schizophrenia.
Juliette Savin | alfa
Study tracks inner workings of the brain with new biosensor
16.08.2018 | Rheinische Friedrich-Wilhelms-Universität Bonn
Foods of the future
15.08.2018 | Georg-August-Universität Göttingen
New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference
Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
Proteins must be folded correctly to fulfill their molecular functions in cells. Molecular assistants called chaperones help proteins exploit their inbuilt folding potential and reach the correct three-dimensional structure. Researchers at the Max Planck Institute of Biochemistry (MPIB) have demonstrated that actin, the most abundant protein in higher developed cells, does not have the inbuilt potential to fold and instead requires special assistance to fold into its active state. The chaperone TRiC uses a previously undescribed mechanism to perform actin folding. The study was recently published in the journal Cell.
Actin is the most abundant protein in highly developed cells and has diverse functions in processes like cell stabilization, cell division and muscle...
17.08.2018 | Event News
08.08.2018 | Event News
27.07.2018 | Event News
17.08.2018 | Physics and Astronomy
17.08.2018 | Information Technology
17.08.2018 | Life Sciences