Meeting Banner
Abstract #2678

Multimodal neuroimaging data reveal intelligence-specific neurobiological correlates

Dafa Shi1, Haoran Zhang1, Guangsong Wang1, and Ke Ren1
1Department of Radiology, Xiang’an Hospital of Xiamen Uneversity,School of Medicine, Xiamen University, Xiamen, China

Synopsis

Keywords: Brain Connectivity, fMRI (resting state)We used Brainnetome 246 atlas to construct FC matrices and extract image features from ALFF, DC, ReHo and VMHC maps.The classical CPM method using FC data and the combination model using multimodal data were constructed to predict FIQ scores. We found the combination model outperformed either classical models. Similar results were found with the Shen 268 atlas. The functional networks and regions related to intelligence mainly included intrafrontal, frontoparietal, frontotemporal and temporoparietal networks.The models constructed with the intelligence-related networks and regions could predict PIQ, VIQ, and CRT scores well, but not BDI, SAT, and TAT scores.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords