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Nat Neurosci. 2015 Dec;18(12):1853-60. doi: 10.1038/nn.4164. Epub 2015 Nov 9.

Parcellating cortical functional networks in individuals.

Wang D1,2, Buckner RL1,2,3, Fox MD1,4,5, Holt DJ1,2, Holmes AJ2,6, Stoecklein S1,7, Langs G8,9, Pan R1, Qian T1,10,11, Li K12, Baker JT2,13, Stufflebeam SM1,14, Wang K15, Wang X16, Hong B10, Liu H1,2.

Author information

1
Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, USA.
2
Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
3
Department of Psychology, Center for Brain Science, Harvard University, Cambridge, Massachusetts, USA.
4
Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
5
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
6
Department of Psychology, Yale University, New Haven, Connecticut, USA.
7
Ludwig Maximilians University Munich, Institute of Clinical Radiology, Munich, Germany.
8
Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
9
Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
10
Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
11
Siemens Healthcare, MR Collaboration Nebraska Asia, Beijing, China.
12
Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.
13
Psychotic Disorders Division, McLean Hospital, Belmont, Massachusetts, USA.
14
Harvard-MIT Health Sciences and Technology, Institute for Medical Engineering and Science, Cambridge, Massachusetts, USA.
15
Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.
16
Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China.

Abstract

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.

PMID:
26551545
PMCID:
PMC4661084
DOI:
10.1038/nn.4164
[Indexed for MEDLINE]
Free PMC Article

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