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Mapping Dorsal and Ventral Caudate in Older Adults: Method and Validation
The caudate nucleus plays important roles in cognition and affect. Depending on associated connectivity and function, the caudate can be further divided into dorsal and ventral aspects. Dorsal caudate, highly connected to dorsolateral prefrontal cortex (DLPFC), is implicated in executive function an...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378713/ https://www.ncbi.nlm.nih.gov/pubmed/28420985 http://dx.doi.org/10.3389/fnagi.2017.00091 |
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author | Huang, Haiqing Nguyen, Peter T. Schwab, Nadine A. Tanner, Jared J. Price, Catherine C. Ding, Mingzhou |
author_facet | Huang, Haiqing Nguyen, Peter T. Schwab, Nadine A. Tanner, Jared J. Price, Catherine C. Ding, Mingzhou |
author_sort | Huang, Haiqing |
collection | PubMed |
description | The caudate nucleus plays important roles in cognition and affect. Depending on associated connectivity and function, the caudate can be further divided into dorsal and ventral aspects. Dorsal caudate, highly connected to dorsolateral prefrontal cortex (DLPFC), is implicated in executive function and working memory; ventral caudate, more interconnected with the limbic system, is implicated in affective functions such as pain processing. Clinically, certain brain disorders are known to differentially impact dorsal and ventral caudate. Thus, precise parcellation of caudate has both basic and clinical neuroscience significance. In young adults, past work has combined resting-state fMRI functional connectivity with clustering algorithms to define dorsal and ventral caudate. Whether the same approach is effective in older adults and how to validate the parcellation results have not been considered. We addressed these problems by obtaining resting-state fMRI data from 56 older non-demented adults (age: 69.07 ± 5.92 years and MOCA: 25.71 ± 2.46) along with a battery of cognitive and clinical assessments. Connectivity from each voxel of caudate to the rest of the brain was computed using cross correlation. Applying the K-means clustering algorithm to the connectivity patterns with K = 2 yielded two substructures within caudate, which agree well with previously reported dorsal and ventral divisions of caudate. Furthermore, dorsal-caudate-seeded functional connectivity was shown to be more strongly associated with working memory and fluid reasoning composite scores, whereas ventral-caudate-seeded functional connectivity more strongly associated with pain and fatigue severity. These results demonstrate that dorsal and ventral caudate can be reliably identified by combining resting-state fMRI and clustering algorithms in older adults. |
format | Online Article Text |
id | pubmed-5378713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-53787132017-04-18 Mapping Dorsal and Ventral Caudate in Older Adults: Method and Validation Huang, Haiqing Nguyen, Peter T. Schwab, Nadine A. Tanner, Jared J. Price, Catherine C. Ding, Mingzhou Front Aging Neurosci Neuroscience The caudate nucleus plays important roles in cognition and affect. Depending on associated connectivity and function, the caudate can be further divided into dorsal and ventral aspects. Dorsal caudate, highly connected to dorsolateral prefrontal cortex (DLPFC), is implicated in executive function and working memory; ventral caudate, more interconnected with the limbic system, is implicated in affective functions such as pain processing. Clinically, certain brain disorders are known to differentially impact dorsal and ventral caudate. Thus, precise parcellation of caudate has both basic and clinical neuroscience significance. In young adults, past work has combined resting-state fMRI functional connectivity with clustering algorithms to define dorsal and ventral caudate. Whether the same approach is effective in older adults and how to validate the parcellation results have not been considered. We addressed these problems by obtaining resting-state fMRI data from 56 older non-demented adults (age: 69.07 ± 5.92 years and MOCA: 25.71 ± 2.46) along with a battery of cognitive and clinical assessments. Connectivity from each voxel of caudate to the rest of the brain was computed using cross correlation. Applying the K-means clustering algorithm to the connectivity patterns with K = 2 yielded two substructures within caudate, which agree well with previously reported dorsal and ventral divisions of caudate. Furthermore, dorsal-caudate-seeded functional connectivity was shown to be more strongly associated with working memory and fluid reasoning composite scores, whereas ventral-caudate-seeded functional connectivity more strongly associated with pain and fatigue severity. These results demonstrate that dorsal and ventral caudate can be reliably identified by combining resting-state fMRI and clustering algorithms in older adults. Frontiers Media S.A. 2017-04-04 /pmc/articles/PMC5378713/ /pubmed/28420985 http://dx.doi.org/10.3389/fnagi.2017.00091 Text en Copyright © 2017 Huang, Nguyen, Schwab, Tanner, Price and Ding. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Huang, Haiqing Nguyen, Peter T. Schwab, Nadine A. Tanner, Jared J. Price, Catherine C. Ding, Mingzhou Mapping Dorsal and Ventral Caudate in Older Adults: Method and Validation |
title | Mapping Dorsal and Ventral Caudate in Older Adults: Method and Validation |
title_full | Mapping Dorsal and Ventral Caudate in Older Adults: Method and Validation |
title_fullStr | Mapping Dorsal and Ventral Caudate in Older Adults: Method and Validation |
title_full_unstemmed | Mapping Dorsal and Ventral Caudate in Older Adults: Method and Validation |
title_short | Mapping Dorsal and Ventral Caudate in Older Adults: Method and Validation |
title_sort | mapping dorsal and ventral caudate in older adults: method and validation |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378713/ https://www.ncbi.nlm.nih.gov/pubmed/28420985 http://dx.doi.org/10.3389/fnagi.2017.00091 |
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