Mesoscopic in vivo human T2* dataset acquired using quantitative MRI at 7 Tesla
Mesoscopic (0.1-0.5 mm) interrogation of the living human brain is critical for advancing neuroscience and bridging the resolution gap with animal models. Despite the variety of MRI contrasts measured in recent years at the mesoscopic scale, in vivo quantitative imaging of T2* has not been performed...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
|
| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811922008540 |
| _version_ | 1828269865775923200 |
|---|---|
| author | Omer Faruk Gulban Saskia Bollmann Laurentius (Renzo) Huber Konrad Wagstyl Rainer Goebel Benedikt A. Poser Kendrick Kay Dimo Ivanov |
| author_facet | Omer Faruk Gulban Saskia Bollmann Laurentius (Renzo) Huber Konrad Wagstyl Rainer Goebel Benedikt A. Poser Kendrick Kay Dimo Ivanov |
| author_sort | Omer Faruk Gulban |
| collection | DOAJ |
| description | Mesoscopic (0.1-0.5 mm) interrogation of the living human brain is critical for advancing neuroscience and bridging the resolution gap with animal models. Despite the variety of MRI contrasts measured in recent years at the mesoscopic scale, in vivo quantitative imaging of T2* has not been performed. Here we provide a dataset containing empirical T2* measurements acquired at 0.35 × 0.35 × 0.35 mm3 voxel resolution using 7 Tesla MRI. To demonstrate unique features and high quality of this dataset, we generate flat map visualizations that reveal fine-scale cortical substructures such as layers and vessels, and we report quantitative depth-dependent T2* (as well as R2*) values in primary visual cortex and auditory cortex that are highly consistent across subjects. This dataset is freely available at https://doi.org/10.17605/OSF.IO/N5BJ7, and may prove useful for anatomical investigations of the human brain, as well as for improving our understanding of the basis of the T2*-weighted (f)MRI signal. |
| first_indexed | 2024-04-13T05:34:32Z |
| format | Article |
| id | doaj.art-0a897b443ef64c0799c4fc7bd9a3ce35 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-13T05:34:32Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-0a897b443ef64c0799c4fc7bd9a3ce352022-12-22T03:00:19ZengElsevierNeuroImage1095-95722022-12-01264119733Mesoscopic in vivo human T2* dataset acquired using quantitative MRI at 7 TeslaOmer Faruk Gulban0Saskia Bollmann1Laurentius (Renzo) Huber2Konrad Wagstyl3Rainer Goebel4Benedikt A. Poser5Kendrick Kay6Dimo Ivanov7Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands; Corresponding author.Centre for Advanced Imaging, The University of Queensland, St Lucia QLD 4072, AustraliaDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, NetherlandsWellcome Centre for Human Neuroimaging, University College London, London, United KingdomDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, NetherlandsDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, NetherlandsCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USADepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, NetherlandsMesoscopic (0.1-0.5 mm) interrogation of the living human brain is critical for advancing neuroscience and bridging the resolution gap with animal models. Despite the variety of MRI contrasts measured in recent years at the mesoscopic scale, in vivo quantitative imaging of T2* has not been performed. Here we provide a dataset containing empirical T2* measurements acquired at 0.35 × 0.35 × 0.35 mm3 voxel resolution using 7 Tesla MRI. To demonstrate unique features and high quality of this dataset, we generate flat map visualizations that reveal fine-scale cortical substructures such as layers and vessels, and we report quantitative depth-dependent T2* (as well as R2*) values in primary visual cortex and auditory cortex that are highly consistent across subjects. This dataset is freely available at https://doi.org/10.17605/OSF.IO/N5BJ7, and may prove useful for anatomical investigations of the human brain, as well as for improving our understanding of the basis of the T2*-weighted (f)MRI signal.http://www.sciencedirect.com/science/article/pii/S1053811922008540In vivoHumanBrainMesoscopicLayersVessels |
| spellingShingle | Omer Faruk Gulban Saskia Bollmann Laurentius (Renzo) Huber Konrad Wagstyl Rainer Goebel Benedikt A. Poser Kendrick Kay Dimo Ivanov Mesoscopic in vivo human T2* dataset acquired using quantitative MRI at 7 Tesla NeuroImage In vivo Human Brain Mesoscopic Layers Vessels |
| title | Mesoscopic in vivo human T2* dataset acquired using quantitative MRI at 7 Tesla |
| title_full | Mesoscopic in vivo human T2* dataset acquired using quantitative MRI at 7 Tesla |
| title_fullStr | Mesoscopic in vivo human T2* dataset acquired using quantitative MRI at 7 Tesla |
| title_full_unstemmed | Mesoscopic in vivo human T2* dataset acquired using quantitative MRI at 7 Tesla |
| title_short | Mesoscopic in vivo human T2* dataset acquired using quantitative MRI at 7 Tesla |
| title_sort | mesoscopic in vivo human t2 dataset acquired using quantitative mri at 7 tesla |
| topic | In vivo Human Brain Mesoscopic Layers Vessels |
| url | http://www.sciencedirect.com/science/article/pii/S1053811922008540 |
| work_keys_str_mv | AT omerfarukgulban mesoscopicinvivohumant2datasetacquiredusingquantitativemriat7tesla AT saskiabollmann mesoscopicinvivohumant2datasetacquiredusingquantitativemriat7tesla AT laurentiusrenzohuber mesoscopicinvivohumant2datasetacquiredusingquantitativemriat7tesla AT konradwagstyl mesoscopicinvivohumant2datasetacquiredusingquantitativemriat7tesla AT rainergoebel mesoscopicinvivohumant2datasetacquiredusingquantitativemriat7tesla AT benediktaposer mesoscopicinvivohumant2datasetacquiredusingquantitativemriat7tesla AT kendrickkay mesoscopicinvivohumant2datasetacquiredusingquantitativemriat7tesla AT dimoivanov mesoscopicinvivohumant2datasetacquiredusingquantitativemriat7tesla |