Lost in translation [version 2; referees: 2 approved]
Translation in cognitive neuroscience remains beyond the horizon, brought no closer by supposed major advances in our understanding of the brain. Unless our explanatory models descend to the individual level—a cardinal requirement for any intervention—their real-world applications will always be lim...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2019-01-01
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| Series: | F1000Research |
| Online Access: | https://f1000research.com/articles/7-620/v2 |
| _version_ | 1818262140352462848 |
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| author | Parashkev Nachev Geraint Rees Richard Frackowiak |
| author_facet | Parashkev Nachev Geraint Rees Richard Frackowiak |
| author_sort | Parashkev Nachev |
| collection | DOAJ |
| description | Translation in cognitive neuroscience remains beyond the horizon, brought no closer by supposed major advances in our understanding of the brain. Unless our explanatory models descend to the individual level—a cardinal requirement for any intervention—their real-world applications will always be limited. Drawing on an analysis of the informational properties of the brain, here we argue that adequate individualisation needs models of far greater dimensionality than has been usual in the field. This necessity arises from the widely distributed causality of neural systems, a consequence of the fundamentally adaptive nature of their developmental and physiological mechanisms. We discuss how recent advances in high-performance computing, combined with collections of large-scale data, enable the high-dimensional modelling we argue is critical to successful translation, and urge its adoption if the ultimate goal of impact on the lives of patients is to be achieved. |
| first_indexed | 2024-12-12T18:58:23Z |
| format | Article |
| id | doaj.art-6b1f1b3983e04d00b18927fcb160d785 |
| institution | Directory Open Access Journal |
| issn | 2046-1402 |
| language | English |
| last_indexed | 2024-12-12T18:58:23Z |
| publishDate | 2019-01-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | F1000Research |
| spelling | doaj.art-6b1f1b3983e04d00b18927fcb160d7852022-12-22T00:15:10ZengF1000 Research LtdF1000Research2046-14022019-01-01710.12688/f1000research.15020.219366Lost in translation [version 2; referees: 2 approved]Parashkev Nachev0Geraint Rees1Richard Frackowiak2Institute of Neurology, University College London, London, WC1N 3BG, UKInstitute of Neurology, University College London, London, WC1N 3BG, UKInstitute of Neurology, University College London, London, WC1N 3BG, UKTranslation in cognitive neuroscience remains beyond the horizon, brought no closer by supposed major advances in our understanding of the brain. Unless our explanatory models descend to the individual level—a cardinal requirement for any intervention—their real-world applications will always be limited. Drawing on an analysis of the informational properties of the brain, here we argue that adequate individualisation needs models of far greater dimensionality than has been usual in the field. This necessity arises from the widely distributed causality of neural systems, a consequence of the fundamentally adaptive nature of their developmental and physiological mechanisms. We discuss how recent advances in high-performance computing, combined with collections of large-scale data, enable the high-dimensional modelling we argue is critical to successful translation, and urge its adoption if the ultimate goal of impact on the lives of patients is to be achieved.https://f1000research.com/articles/7-620/v2 |
| spellingShingle | Parashkev Nachev Geraint Rees Richard Frackowiak Lost in translation [version 2; referees: 2 approved] F1000Research |
| title | Lost in translation [version 2; referees: 2 approved] |
| title_full | Lost in translation [version 2; referees: 2 approved] |
| title_fullStr | Lost in translation [version 2; referees: 2 approved] |
| title_full_unstemmed | Lost in translation [version 2; referees: 2 approved] |
| title_short | Lost in translation [version 2; referees: 2 approved] |
| title_sort | lost in translation version 2 referees 2 approved |
| url | https://f1000research.com/articles/7-620/v2 |
| work_keys_str_mv | AT parashkevnachev lostintranslationversion2referees2approved AT geraintrees lostintranslationversion2referees2approved AT richardfrackowiak lostintranslationversion2referees2approved |