Dataset of whole-brain resting-state fMRI of 227 young and elderly adults acquired at 3T
To investigate the impact of adult age on the brain functional connectivity, whole-brain resting-state functional magnetic resonance imaging (R-fMRI) data were acquired on a 3T clinical MRI scanner in a cohort of 227, right-handed, native Swedish-speaking, healthy adult volunteers (N=227, aged 18-74...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-10-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235234092100617X |
| _version_ | 1818838028156665856 |
|---|---|
| author | Xia Li Håkan Fischer Amirhossein Manzouri Kristoffer N.T. Månsson Tie-Qiang Li |
| author_facet | Xia Li Håkan Fischer Amirhossein Manzouri Kristoffer N.T. Månsson Tie-Qiang Li |
| author_sort | Xia Li |
| collection | DOAJ |
| description | To investigate the impact of adult age on the brain functional connectivity, whole-brain resting-state functional magnetic resonance imaging (R-fMRI) data were acquired on a 3T clinical MRI scanner in a cohort of 227, right-handed, native Swedish-speaking, healthy adult volunteers (N=227, aged 18-74 years old, male/female=99/128). The dataset is mainly consisted of a younger (18-30 years old n=124, males/females=51/73) and elderly adult (n=76, 60-76 years old, males/females=35/41) subgroups. The dataset was analyzed using a new data-driven analysis (QDA) framework. With QDA two types of threshold-free voxel-wise resting-state functional connectivity (RFC) metrics were derived: the connectivity strength index (CSI) and connectivity density index (CDI), which can be utilized to assess the brain changes in functional connectivity associated with adult age. The dataset can also be useful as a reference to identify abnormal changes in brain functional connectivity resulted from neurodegenerative or neuropsychiatric disorders. |
| first_indexed | 2024-12-19T03:31:53Z |
| format | Article |
| id | doaj.art-98299ca4b0bd49a486922cdf52794113 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-19T03:31:53Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-98299ca4b0bd49a486922cdf527941132022-12-21T20:37:29ZengElsevierData in Brief2352-34092021-10-0138107333Dataset of whole-brain resting-state fMRI of 227 young and elderly adults acquired at 3TXia Li0Håkan Fischer1Amirhossein Manzouri2Kristoffer N.T. Månsson3Tie-Qiang Li4Institute of Informatics Engineering, China Jiliang University, Hangzhou, ChinaDepartment of Psychology, Stockholm University, Sweden; Stockholm University Brain Imaging Centre, SwedenDepartment of Psychology, Stockholm University, SwedenDepartment of Psychology, Stockholm University, SwedenInstitute of Informatics Engineering, China Jiliang University, Hangzhou, China; Department of Clinical Science, Intervention, and Technology, Karolinska Institute, Sweden; Department of Medical Radiation and Nuclear Medicine, Karolinska University Hospital, Sweden; Corresponding author at: Department of Clinical Science, Intervention, and Technology, Karolinska Institutet, SwedenTo investigate the impact of adult age on the brain functional connectivity, whole-brain resting-state functional magnetic resonance imaging (R-fMRI) data were acquired on a 3T clinical MRI scanner in a cohort of 227, right-handed, native Swedish-speaking, healthy adult volunteers (N=227, aged 18-74 years old, male/female=99/128). The dataset is mainly consisted of a younger (18-30 years old n=124, males/females=51/73) and elderly adult (n=76, 60-76 years old, males/females=35/41) subgroups. The dataset was analyzed using a new data-driven analysis (QDA) framework. With QDA two types of threshold-free voxel-wise resting-state functional connectivity (RFC) metrics were derived: the connectivity strength index (CSI) and connectivity density index (CDI), which can be utilized to assess the brain changes in functional connectivity associated with adult age. The dataset can also be useful as a reference to identify abnormal changes in brain functional connectivity resulted from neurodegenerative or neuropsychiatric disorders.http://www.sciencedirect.com/science/article/pii/S235234092100617XQuantitative data-driven analysis (QDA)Resting-state functional magnetic resonance imaging (R-fMRI)Resting-state functional connectivity (RFC)Connectivity strength index (CSI)Connectivity density index (CDI)Adult age |
| spellingShingle | Xia Li Håkan Fischer Amirhossein Manzouri Kristoffer N.T. Månsson Tie-Qiang Li Dataset of whole-brain resting-state fMRI of 227 young and elderly adults acquired at 3T Data in Brief Quantitative data-driven analysis (QDA) Resting-state functional magnetic resonance imaging (R-fMRI) Resting-state functional connectivity (RFC) Connectivity strength index (CSI) Connectivity density index (CDI) Adult age |
| title | Dataset of whole-brain resting-state fMRI of 227 young and elderly adults acquired at 3T |
| title_full | Dataset of whole-brain resting-state fMRI of 227 young and elderly adults acquired at 3T |
| title_fullStr | Dataset of whole-brain resting-state fMRI of 227 young and elderly adults acquired at 3T |
| title_full_unstemmed | Dataset of whole-brain resting-state fMRI of 227 young and elderly adults acquired at 3T |
| title_short | Dataset of whole-brain resting-state fMRI of 227 young and elderly adults acquired at 3T |
| title_sort | dataset of whole brain resting state fmri of 227 young and elderly adults acquired at 3t |
| topic | Quantitative data-driven analysis (QDA) Resting-state functional magnetic resonance imaging (R-fMRI) Resting-state functional connectivity (RFC) Connectivity strength index (CSI) Connectivity density index (CDI) Adult age |
| url | http://www.sciencedirect.com/science/article/pii/S235234092100617X |
| work_keys_str_mv | AT xiali datasetofwholebrainrestingstatefmriof227youngandelderlyadultsacquiredat3t AT hakanfischer datasetofwholebrainrestingstatefmriof227youngandelderlyadultsacquiredat3t AT amirhosseinmanzouri datasetofwholebrainrestingstatefmriof227youngandelderlyadultsacquiredat3t AT kristofferntmansson datasetofwholebrainrestingstatefmriof227youngandelderlyadultsacquiredat3t AT tieqiangli datasetofwholebrainrestingstatefmriof227youngandelderlyadultsacquiredat3t |