Detecting alcohol-induced brain damage noninvasively using diffusion tensor imaging
Autor: | Santiago Canals, Wolfgang H. Sommer, Silvia De Santis |
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Přispěvatelé: | European Commission, Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), German Research Foundation, European Research Council |
Rok vydání: | 2019 |
Předmět: |
Physiology
Cognitive Neuroscience media_common.quotation_subject Brain damage Biochemistry White matter 03 medical and health sciences 0302 clinical medicine Animals Humans Medicine Diagnostic marker Gray matter 030304 developmental biology media_common Brain Diseases 0303 health sciences Ethanol business.industry Brain food and beverages Cell Biology General Medicine Abstinence 3. Good health Diffusion Tensor Imaging medicine.anatomical_structure DTI medicine.symptom business Alcohol Neuroscience 030217 neurology & neurosurgery Diffusion MRI |
Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname ACS Chemical Neuroscience |
Popis: | While alcohol’s detrimental effects on the brain are widely acknowledged, diagnostic markers for detection and monitoring alcohol-induced brain damage are lacking. A recent study showed that diffusion tensor imaging can be used to monitor this damage and characterized the progression of the observed changes into early abstinence. Here, we discuss the main findings of that study and highlight current technical limitations which, once addressed, can pave the way to the development of new powerful diagnostic markers for alcohol-induced brain damage. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 668863 (SyBil-AA). S.C. further acknowledges financial support from the Ministerio de Economía y Competitividad and FEDER funds under Grant No. BFU2015-64380-C2-1-R and Ministerio de Ciencia Innovación y Universidades and FEDER funds under Grant No. PGC2018-101055-B-I00. W.H.S. received additional support from the Deutsche Forschungsgemeinschaft Center Grant TRR265-B08. S.D.S. is supported by a NARSAD Young Investigator Grant (Grant #25104) and by the European Research Council through a Marie Skłodowska-Curie Individual Fellowship (Grant #749506). |
Databáze: | OpenAIRE |
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