Improved brain stimulation targeting by optimising image acquisition parameters
Functional connectivity analysis from rs-fMRI data has been used for determining cortical targets in therapeutic applications of non-invasive brain stimulation using transcranial magnetic stimulation (TMS). Reliable connectivity measures are therefore essential for every rs-fMRI-based TMS targeting...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-08-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811923003269 |
| _version_ | 1797799069447356416 |
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| author | Maria Vasileiadi Michael Woletz David Linhardt Sarah Grosshagauer Martin Tik Christian Windischberger |
| author_facet | Maria Vasileiadi Michael Woletz David Linhardt Sarah Grosshagauer Martin Tik Christian Windischberger |
| author_sort | Maria Vasileiadi |
| collection | DOAJ |
| description | Functional connectivity analysis from rs-fMRI data has been used for determining cortical targets in therapeutic applications of non-invasive brain stimulation using transcranial magnetic stimulation (TMS). Reliable connectivity measures are therefore essential for every rs-fMRI-based TMS targeting approach. Here, we examine the effect of echo time (TE) on the reproducibility and spatial variability of resting-state connectivity measures. We acquired multiple runs of single-echo fMRI data with either short (TE = 30 ms) or long (TE = 38 ms) echo time to investigate inter-run spatial reproducibility of a clinically relevant functional connectivity map, i.e., originating from the sgACC. We find that connectivity maps obtained from TE = 38 ms rs-fMRI data are significantly more reliable than those obtained from TE = 30 ms data sets. Our results clearly show that optimizing sequence parameters can be beneficial for ensuring high-reliability resting-state acquisition protocols to be used for TMS targeting. The differences between reliability in connectivity measures for different TEs could inform future clinical research in optimising MR sequences. |
| first_indexed | 2024-03-13T04:14:27Z |
| format | Article |
| id | doaj.art-418fb22dfa8f4354acdb110e0af7b6f2 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-03-13T04:14:27Z |
| publishDate | 2023-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-418fb22dfa8f4354acdb110e0af7b6f22023-06-21T06:51:07ZengElsevierNeuroImage1095-95722023-08-01276120175Improved brain stimulation targeting by optimising image acquisition parametersMaria Vasileiadi0Michael Woletz1David Linhardt2Sarah Grosshagauer3Martin Tik4Christian Windischberger5High Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, AustriaHigh Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, AustriaHigh Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, AustriaHigh Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, AustriaHigh Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria; Department of Psyschiatry & Behavioral Sciences, Stanford University, Palo Alto, CA, USAHigh Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria; Corresponding author.Functional connectivity analysis from rs-fMRI data has been used for determining cortical targets in therapeutic applications of non-invasive brain stimulation using transcranial magnetic stimulation (TMS). Reliable connectivity measures are therefore essential for every rs-fMRI-based TMS targeting approach. Here, we examine the effect of echo time (TE) on the reproducibility and spatial variability of resting-state connectivity measures. We acquired multiple runs of single-echo fMRI data with either short (TE = 30 ms) or long (TE = 38 ms) echo time to investigate inter-run spatial reproducibility of a clinically relevant functional connectivity map, i.e., originating from the sgACC. We find that connectivity maps obtained from TE = 38 ms rs-fMRI data are significantly more reliable than those obtained from TE = 30 ms data sets. Our results clearly show that optimizing sequence parameters can be beneficial for ensuring high-reliability resting-state acquisition protocols to be used for TMS targeting. The differences between reliability in connectivity measures for different TEs could inform future clinical research in optimising MR sequences.http://www.sciencedirect.com/science/article/pii/S1053811923003269fMRIResting-stateTMSTargetingBrain stimulation |
| spellingShingle | Maria Vasileiadi Michael Woletz David Linhardt Sarah Grosshagauer Martin Tik Christian Windischberger Improved brain stimulation targeting by optimising image acquisition parameters NeuroImage fMRI Resting-state TMS Targeting Brain stimulation |
| title | Improved brain stimulation targeting by optimising image acquisition parameters |
| title_full | Improved brain stimulation targeting by optimising image acquisition parameters |
| title_fullStr | Improved brain stimulation targeting by optimising image acquisition parameters |
| title_full_unstemmed | Improved brain stimulation targeting by optimising image acquisition parameters |
| title_short | Improved brain stimulation targeting by optimising image acquisition parameters |
| title_sort | improved brain stimulation targeting by optimising image acquisition parameters |
| topic | fMRI Resting-state TMS Targeting Brain stimulation |
| url | http://www.sciencedirect.com/science/article/pii/S1053811923003269 |
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