Cargando…
Reassessing associations between white matter and behaviour with multimodal microstructural imaging
Several studies have established specific relationships between White Matter (WM) and behaviour. However, these studies have typically focussed on fractional anisotropy (FA), a neuroimaging metric that is sensitive to multiple tissue properties, making it difficult to identify what biological aspect...
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Masson
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8940642/ https://www.ncbi.nlm.nih.gov/pubmed/34742100 http://dx.doi.org/10.1016/j.cortex.2021.08.017 |
_version_ | 1784672964227104768 |
---|---|
author | Lazari, Alberto Salvan, Piergiorgio Cottaar, Michiel Papp, Daniel Jens van der Werf, Olof Johnstone, Ainslie Sanders, Zeena-Britt Sampaio-Baptista, Cassandra Eichert, Nicole Miyamoto, Kentaro Winkler, Anderson Callaghan, Martina F. Nichols, Thomas E. Stagg, Charlotte J. Rushworth, Matthew F.S. Verhagen, Lennart Johansen-Berg, Heidi |
author_facet | Lazari, Alberto Salvan, Piergiorgio Cottaar, Michiel Papp, Daniel Jens van der Werf, Olof Johnstone, Ainslie Sanders, Zeena-Britt Sampaio-Baptista, Cassandra Eichert, Nicole Miyamoto, Kentaro Winkler, Anderson Callaghan, Martina F. Nichols, Thomas E. Stagg, Charlotte J. Rushworth, Matthew F.S. Verhagen, Lennart Johansen-Berg, Heidi |
author_sort | Lazari, Alberto |
collection | PubMed |
description | Several studies have established specific relationships between White Matter (WM) and behaviour. However, these studies have typically focussed on fractional anisotropy (FA), a neuroimaging metric that is sensitive to multiple tissue properties, making it difficult to identify what biological aspects of WM may drive such relationships. Here, we carry out a pre-registered assessment of WM-behaviour relationships in 50 healthy individuals across multiple behavioural and anatomical domains, and complementing FA with myelin-sensitive quantitative MR modalities (MT, R1, R2∗). Surprisingly, we only find support for predicted relationships between FA and behaviour in one of three pre-registered tests. For one behavioural domain, where we failed to detect an FA-behaviour correlation, we instead find evidence for a correlation between behaviour and R1. This hints that multimodal approaches are able to identify a wider range of WM-behaviour relationships than focusing on FA alone. To test whether a common biological substrate such as myelin underlies WM-behaviour relationships, we then ran joint multimodal analyses, combining across all MRI parameters considered. No significant multimodal signatures were found and power analyses suggested that sample sizes of 40–200 may be required to detect such joint multimodal effects, depending on the task being considered. These results demonstrate that FA-behaviour relationships from the literature can be replicated, but may not be easily generalisable across domains. Instead, multimodal microstructural imaging may be best placed to detect a wider range of WM-behaviour relationships, as different MRI modalities provide distinct biological sensitivities. Our findings highlight a broad heterogeneity in WM's relationship with behaviour, suggesting that variable biological effects may be shaping their interaction. |
format | Online Article Text |
id | pubmed-8940642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Masson |
record_format | MEDLINE/PubMed |
spelling | pubmed-89406422022-03-31 Reassessing associations between white matter and behaviour with multimodal microstructural imaging Lazari, Alberto Salvan, Piergiorgio Cottaar, Michiel Papp, Daniel Jens van der Werf, Olof Johnstone, Ainslie Sanders, Zeena-Britt Sampaio-Baptista, Cassandra Eichert, Nicole Miyamoto, Kentaro Winkler, Anderson Callaghan, Martina F. Nichols, Thomas E. Stagg, Charlotte J. Rushworth, Matthew F.S. Verhagen, Lennart Johansen-Berg, Heidi Cortex Research Report Several studies have established specific relationships between White Matter (WM) and behaviour. However, these studies have typically focussed on fractional anisotropy (FA), a neuroimaging metric that is sensitive to multiple tissue properties, making it difficult to identify what biological aspects of WM may drive such relationships. Here, we carry out a pre-registered assessment of WM-behaviour relationships in 50 healthy individuals across multiple behavioural and anatomical domains, and complementing FA with myelin-sensitive quantitative MR modalities (MT, R1, R2∗). Surprisingly, we only find support for predicted relationships between FA and behaviour in one of three pre-registered tests. For one behavioural domain, where we failed to detect an FA-behaviour correlation, we instead find evidence for a correlation between behaviour and R1. This hints that multimodal approaches are able to identify a wider range of WM-behaviour relationships than focusing on FA alone. To test whether a common biological substrate such as myelin underlies WM-behaviour relationships, we then ran joint multimodal analyses, combining across all MRI parameters considered. No significant multimodal signatures were found and power analyses suggested that sample sizes of 40–200 may be required to detect such joint multimodal effects, depending on the task being considered. These results demonstrate that FA-behaviour relationships from the literature can be replicated, but may not be easily generalisable across domains. Instead, multimodal microstructural imaging may be best placed to detect a wider range of WM-behaviour relationships, as different MRI modalities provide distinct biological sensitivities. Our findings highlight a broad heterogeneity in WM's relationship with behaviour, suggesting that variable biological effects may be shaping their interaction. Masson 2021-12 /pmc/articles/PMC8940642/ /pubmed/34742100 http://dx.doi.org/10.1016/j.cortex.2021.08.017 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Report Lazari, Alberto Salvan, Piergiorgio Cottaar, Michiel Papp, Daniel Jens van der Werf, Olof Johnstone, Ainslie Sanders, Zeena-Britt Sampaio-Baptista, Cassandra Eichert, Nicole Miyamoto, Kentaro Winkler, Anderson Callaghan, Martina F. Nichols, Thomas E. Stagg, Charlotte J. Rushworth, Matthew F.S. Verhagen, Lennart Johansen-Berg, Heidi Reassessing associations between white matter and behaviour with multimodal microstructural imaging |
title | Reassessing associations between white matter and behaviour with multimodal microstructural imaging |
title_full | Reassessing associations between white matter and behaviour with multimodal microstructural imaging |
title_fullStr | Reassessing associations between white matter and behaviour with multimodal microstructural imaging |
title_full_unstemmed | Reassessing associations between white matter and behaviour with multimodal microstructural imaging |
title_short | Reassessing associations between white matter and behaviour with multimodal microstructural imaging |
title_sort | reassessing associations between white matter and behaviour with multimodal microstructural imaging |
topic | Research Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8940642/ https://www.ncbi.nlm.nih.gov/pubmed/34742100 http://dx.doi.org/10.1016/j.cortex.2021.08.017 |
work_keys_str_mv | AT lazarialberto reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT salvanpiergiorgio reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT cottaarmichiel reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT pappdaniel reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT jensvanderwerfolof reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT johnstoneainslie reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT sanderszeenabritt reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT sampaiobaptistacassandra reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT eichertnicole reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT miyamotokentaro reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT winkleranderson reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT callaghanmartinaf reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT nicholsthomase reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT staggcharlottej reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT rushworthmatthewfs reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT verhagenlennart reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging AT johansenbergheidi reassessingassociationsbetweenwhitematterandbehaviourwithmultimodalmicrostructuralimaging |