Title |
Task-relevant brain networks identified with simultaneous PET/MR imaging of metabolism and connectivity
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Published in |
Brain Structure and Function, November 2017
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DOI | 10.1007/s00429-017-1558-0 |
Pubmed ID | |
Authors |
Andreas Hahn, Gregor Gryglewski, Lukas Nics, Lucas Rischka, Sebastian Ganger, Helen Sigurdardottir, Chrysoula Vraka, Leo Silberbauer, Thomas Vanicek, Alexander Kautzky, Wolfgang Wadsak, Markus Mitterhauser, Markus Hartenbach, Marcus Hacker, Siegfried Kasper, Rupert Lanzenberger |
Abstract |
Except for task-specific functional MRI, the vast majority of imaging studies assessed human brain function at resting conditions. However, tracking task-specific neuronal activity yields important insight how the brain responds to stimulation. We specifically investigated changes in glucose metabolism, functional connectivity and white matter microstructure during task performance using several recent methodological advancements. Opening the eyes and right finger tapping had elicited an increased glucose metabolism in primary visual and motor cortices, respectively. Furthermore, a decreased metabolism was observed in the regions of the default mode network, which allowed absolute quantification of commonly described deactivations during cognitive tasks. These brain regions showed widespread task-specific changes in functional connectivity, which stretched beyond their primary resting-state networks and presumably reflected the level of recruitment of certain brain regions for each task. Finally, the corresponding white matter fiber pathways exhibited changes in axial and radial diffusivity during the tasks, which were regionally distinctive for certain tract groups. These results highlight that even simple task performance leads to substantial changes of entire brain networks. Exploiting the complementary nature of the different imaging modalities may reveal novel insights how the brain processes external stimuli and which networks are involved in certain tasks. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 75 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 21% |
Researcher | 12 | 16% |
Student > Master | 8 | 11% |
Student > Doctoral Student | 8 | 11% |
Professor > Associate Professor | 4 | 5% |
Other | 11 | 15% |
Unknown | 16 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 18 | 24% |
Medicine and Dentistry | 13 | 17% |
Psychology | 6 | 8% |
Engineering | 5 | 7% |
Physics and Astronomy | 2 | 3% |
Other | 5 | 7% |
Unknown | 26 | 35% |