Parcellation‐based tractographic modeling of the dorsal attention network
Abstract Introduction The dorsal attention network (DAN) is an important mediator of goal‐directed attentional processing. Multiple cortical areas, such as the frontal eye fields, intraparietal sulcus, superior parietal lobule, and visual cortex, have been linked in this processing. However, knowled...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-10-01
|
| Series: | Brain and Behavior |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/brb3.1365 |
| _version_ | 1819092950674571264 |
|---|---|
| author | Parker G. Allan Robert G. Briggs Andrew K. Conner Christen M. O'Neal Phillip A. Bonney Brian D. Maxwell Cordell M. Baker Joshua D. Burks Goksel Sali Chad A. Glenn Michael E. Sughrue |
| author_facet | Parker G. Allan Robert G. Briggs Andrew K. Conner Christen M. O'Neal Phillip A. Bonney Brian D. Maxwell Cordell M. Baker Joshua D. Burks Goksel Sali Chad A. Glenn Michael E. Sughrue |
| author_sort | Parker G. Allan |
| collection | DOAJ |
| description | Abstract Introduction The dorsal attention network (DAN) is an important mediator of goal‐directed attentional processing. Multiple cortical areas, such as the frontal eye fields, intraparietal sulcus, superior parietal lobule, and visual cortex, have been linked in this processing. However, knowledge of network connectivity has been devoid of structural specificity. Methods Using attention‐related task‐based fMRI studies, an anatomic likelihood estimation (ALE) of the DAN was generated. Regions of interest corresponding to the cortical parcellation scheme previously published under the Human Connectome Project were co‐registered onto the ALE in MNI coordinate space and visually assessed for inclusion in the network. DSI‐based fiber tractography was performed to determine the structural connections between relevant cortical areas comprising the network. Results Twelve cortical regions were found to be part of the DAN: 6a, 7AM, 7PC, AIP, FEF, LIPd, LIPv, MST, MT, PH, V4t, VIP. All regions demonstrated consistent u‐shaped interconnections between adjacent parcellations. The superior longitudinal fasciculus connects the frontal, parietal, and occipital areas of the network. Conclusions We present a tractographic model of the DAN. This model comprises parcellations within the frontal, parietal, and occipital cortices principally linked through the superior longitudinal fasciculus. Future studies may refine this model with the ultimate goal of clinical application. |
| first_indexed | 2024-12-21T23:03:46Z |
| format | Article |
| id | doaj.art-7a85a10fa9454c128080b517f2957c41 |
| institution | Directory Open Access Journal |
| issn | 2162-3279 |
| language | English |
| last_indexed | 2024-12-21T23:03:46Z |
| publishDate | 2019-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Brain and Behavior |
| spelling | doaj.art-7a85a10fa9454c128080b517f2957c412022-12-21T18:47:14ZengWileyBrain and Behavior2162-32792019-10-01910n/an/a10.1002/brb3.1365Parcellation‐based tractographic modeling of the dorsal attention networkParker G. Allan0Robert G. Briggs1Andrew K. Conner2Christen M. O'Neal3Phillip A. Bonney4Brian D. Maxwell5Cordell M. Baker6Joshua D. Burks7Goksel Sali8Chad A. Glenn9Michael E. Sughrue10Department of Neurosurgery University of Oklahoma Health Science Center Oklahoma City OklahomaDepartment of Neurosurgery University of Oklahoma Health Science Center Oklahoma City OklahomaDepartment of Neurosurgery University of Oklahoma Health Science Center Oklahoma City OklahomaDepartment of Neurosurgery University of Oklahoma Health Science Center Oklahoma City OklahomaDepartment of Neurosurgery University of Southern California Miami FloridaDepartment of Neurosurgery University of Oklahoma Health Science Center Oklahoma City OklahomaDepartment of Neurosurgery University of Oklahoma Health Science Center Oklahoma City OklahomaDepartment of Neurosurgery Miami Miller School of Medicine Los Angeles CaliforniaDepartment of Neurosurgery University of Oklahoma Health Science Center Oklahoma City OklahomaDepartment of Neurosurgery University of Oklahoma Health Science Center Oklahoma City OklahomaCenter for Minimally Invasive Neurosurgery Prince of Wales Private Hospital Sydney NSW AustraliaAbstract Introduction The dorsal attention network (DAN) is an important mediator of goal‐directed attentional processing. Multiple cortical areas, such as the frontal eye fields, intraparietal sulcus, superior parietal lobule, and visual cortex, have been linked in this processing. However, knowledge of network connectivity has been devoid of structural specificity. Methods Using attention‐related task‐based fMRI studies, an anatomic likelihood estimation (ALE) of the DAN was generated. Regions of interest corresponding to the cortical parcellation scheme previously published under the Human Connectome Project were co‐registered onto the ALE in MNI coordinate space and visually assessed for inclusion in the network. DSI‐based fiber tractography was performed to determine the structural connections between relevant cortical areas comprising the network. Results Twelve cortical regions were found to be part of the DAN: 6a, 7AM, 7PC, AIP, FEF, LIPd, LIPv, MST, MT, PH, V4t, VIP. All regions demonstrated consistent u‐shaped interconnections between adjacent parcellations. The superior longitudinal fasciculus connects the frontal, parietal, and occipital areas of the network. Conclusions We present a tractographic model of the DAN. This model comprises parcellations within the frontal, parietal, and occipital cortices principally linked through the superior longitudinal fasciculus. Future studies may refine this model with the ultimate goal of clinical application.https://doi.org/10.1002/brb3.1365anatomyattentionparcellationtractography |
| spellingShingle | Parker G. Allan Robert G. Briggs Andrew K. Conner Christen M. O'Neal Phillip A. Bonney Brian D. Maxwell Cordell M. Baker Joshua D. Burks Goksel Sali Chad A. Glenn Michael E. Sughrue Parcellation‐based tractographic modeling of the dorsal attention network Brain and Behavior anatomy attention parcellation tractography |
| title | Parcellation‐based tractographic modeling of the dorsal attention network |
| title_full | Parcellation‐based tractographic modeling of the dorsal attention network |
| title_fullStr | Parcellation‐based tractographic modeling of the dorsal attention network |
| title_full_unstemmed | Parcellation‐based tractographic modeling of the dorsal attention network |
| title_short | Parcellation‐based tractographic modeling of the dorsal attention network |
| title_sort | parcellation based tractographic modeling of the dorsal attention network |
| topic | anatomy attention parcellation tractography |
| url | https://doi.org/10.1002/brb3.1365 |
| work_keys_str_mv | AT parkergallan parcellationbasedtractographicmodelingofthedorsalattentionnetwork AT robertgbriggs parcellationbasedtractographicmodelingofthedorsalattentionnetwork AT andrewkconner parcellationbasedtractographicmodelingofthedorsalattentionnetwork AT christenmoneal parcellationbasedtractographicmodelingofthedorsalattentionnetwork AT phillipabonney parcellationbasedtractographicmodelingofthedorsalattentionnetwork AT briandmaxwell parcellationbasedtractographicmodelingofthedorsalattentionnetwork AT cordellmbaker parcellationbasedtractographicmodelingofthedorsalattentionnetwork AT joshuadburks parcellationbasedtractographicmodelingofthedorsalattentionnetwork AT gokselsali parcellationbasedtractographicmodelingofthedorsalattentionnetwork AT chadaglenn parcellationbasedtractographicmodelingofthedorsalattentionnetwork AT michaelesughrue parcellationbasedtractographicmodelingofthedorsalattentionnetwork |