Details

Autor(en) / Beteiligte

• Wang, Danhong
• Buckner, Randy L
• Fox, Michael D
• Holt, Daphne J
• Holmes, Avram J
• Stoecklein, Sophia
• Langs, Georg
• Pan, Ruiqi
• Qian, Tianyi
• Li, Kuncheng
• Baker, Justin T
• Stufflebeam, Steven M
• Wang, Kai
• Wang, Xiaomin
• Hong, Bo
• Liu, Hesheng

Titel

Parcellating cortical functional networks in individuals

Ist Teil von

• Nature neuroscience, 2015-12, Vol.18 (12), p.1853

Ort / Verlag

United States

Erscheinungsjahr

2015

Quelle

MEDLINE

Beschreibungen/Notizen

• The capacity to identify the unique functional architecture of an individual's brain is a crucial step toward personalized medicine and understanding the neural basis of variation in human cognition and behavior. Here we developed a cortical parcellation approach to accurately map functional organization at the individual level using resting-state functional magnetic resonance imaging (fMRI). A population-based functional atlas and a map of inter-individual variability were employed to guide the iterative search for functional networks in individual subjects. Functional networks mapped by this approach were highly reproducible within subjects and effectively captured the variability across subjects, including individual differences in brain lateralization. The algorithm performed well across different subject populations and data types, including task fMRI data. The approach was then validated by invasive cortical stimulation mapping in surgical patients, suggesting potential for use in clinical applications.