MARC

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001 3185249513
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022 |a 2472-1751 
024 7 |a 10.1162/netn_a_00435  |2 doi 
035 |a 3185249513 
045 2 |b d20250101  |b d20250331 
100 1 |a Fekonja, Lucius S 
245 1 |a Translational network neuroscience: Nine roadblocks and possible solutions 
260 |b MIT Press Journals, The  |c 2025 
513 |a Journal Article 
520 3 |a Translational network neuroscience aims to integrate advanced neuroimaging and data analysis techniques into clinical practice to better understand and treat neurological disorders. Despite the promise of technologies such as functional MRI and diffusion MRI combined with network analysis tools, the field faces several challenges that hinder its swift clinical translation. We have identified nine key roadblocks that impede this process: (a) theoretical and basic science foundations; (b) network construction, data interpretation, and validation; (c) MRI access, data variability, and protocol standardization; (d) data sharing; (e) computational resources and expertise; (f) interdisciplinary collaboration; (g) industry collaboration and commercialization; (h) operational efficiency, integration, and training; and (i) ethical and legal considerations. To address these challenges, we propose several possible solution strategies. By aligning scientific goals with clinical realities and establishing a sound ethical framework, translational network neuroscience can achieve meaningful advances in personalized medicine and ultimately improve patient care. We advocate for an interdisciplinary commitment to overcoming translational hurdles in network neuroscience and integrating advanced technologies into routine clinical practice. 
610 4 |a Tsinghua University 
651 4 |a Beijing China 
651 4 |a Denmark 
651 4 |a United Kingdom--UK 
651 4 |a Netherlands 
651 4 |a Germany 
651 4 |a China 
651 4 |a Berlin Germany 
651 4 |a Finland 
653 |a Commercialization 
653 |a Data analysis 
653 |a Neurological diseases 
653 |a Translation 
653 |a Functional magnetic resonance imaging 
653 |a Precision medicine 
653 |a Medical imaging 
653 |a Ethics 
653 |a Magnetic resonance imaging 
653 |a Image processing 
653 |a Collaboration 
653 |a Network analysis 
653 |a Nervous system 
653 |a Neuroimaging 
653 |a Convulsions & seizures 
653 |a Science 
653 |a Brain cancer 
653 |a Clinical medicine 
653 |a Transcranial magnetic stimulation 
653 |a Neurosurgery 
653 |a Interdisciplinary aspects 
653 |a Biomedical engineering 
653 |a Neurosciences 
653 |a Hospitals 
653 |a Engineering 
700 1 |a Forkel, Stephanie J 
700 1 |a Dogu Baran Aydogan 
700 1 |a Lioumis, Pantelis 
700 1 |a Cacciola, Alberto 
700 1 |a Carolin Weiß Lucas 
700 1 |a Jacques-Donald Tournier 
700 1 |a Vergani, Francesco 
700 1 |a Ritter, Petra 
700 1 |a Schenk, Robert 
700 1 |a Boshra Shams 
700 1 |a Engelhardt, Melina Julia 
700 1 |a Picht, Thomas 
773 0 |t Network Neuroscience  |g vol. 9, no. 1 (2025), p. 352 
786 0 |d ProQuest  |t Biological Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3185249513/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3185249513/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch