Large-Scale Meta-Analysis of Human Medial Frontal Cortex Reveals Tripartite Functional Organization.
The functional organization of human medial frontal cortex (MFC) is a subject of intense study. Using fMRI, the MFC has been associated with diverse psychological processes, including motor function, cognitive control, affect, and social cognition. However, there have been few large-scale efforts to comprehensively map specific psychological functions to subregions of medial frontal anatomy. Here we applied a meta-analytic data-driven approach to nearly 10,000 fMRI studies to identify putatively separable regions of MFC and determine which psychological states preferentially recruit their activation. We identified regions at several spatial scales on the basis of meta-analytic coactivation, revealing three broad functional zones along a rostrocaudal axis composed of 2-4 smaller subregions each. Multivariate classification analyses aimed at identifying the psychological functions most strongly predictive of activity in each region revealed a tripartite division within MFC, with each zone displaying a relatively distinct functional signature. The posterior zone was associated preferentially with motor function, the middle zone with cognitive control, pain, and affect, and the anterior with reward, social processing, and episodic memory. Within each zone, the more fine-grained subregions showed distinct, but subtler, variations in psychological function. These results provide hypotheses about the functional organization of medial prefrontal cortex that can be tested explicitly in future studies.



Activation of medial frontal cortex in fMRI studies is associated with a wide range of psychological states ranging from cognitive control to pain. However, this high rate of activation makes it challenging to determine how these various processes are topologically organized across medial frontal anatomy. We conducted a meta-analysis across nearly 10,000 studies to comprehensively map psychological states to discrete subregions in medial frontal cortex using relatively unbiased data-driven methods. This approach revealed three distinct zones that differed substantially in function, each of which were further subdivided into 2-4 smaller subregions that showed additional functional variation. Each individual region was recruited by multiple psychological states, suggesting subregions of medial frontal cortex are functionally heterogeneous.
Department of Psychology and Neuroscience and Institute of Cognitive Science, University of Colorado, Boulder, Colorado 80309, delavega@colorado.edu.
Alejandro
A
de la Vega
Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755, and.
Luke J
0000-0002-6621-8120
LJ
Chang
Department of Psychology and Neuroscience and Institute of Cognitive Science, University of Colorado, Boulder, Colorado 80309.
Marie T
MT
Banich
Department of Psychology and Neuroscience and Institute of Cognitive Science, University of Colorado, Boulder, Colorado 80309.
Tor D
0000-0002-1936-5574
TD
Wager
Department of Psychology, University of Texas, Austin, Texas 78712.
Tal
0000-0002-6558-5113
T
Yarkoni
D001931:Brain Mapping; D005625:Frontal Lobe / Q000000981:diagnostic imaging / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D009434:Neural Pathways / Q000502:physiology*; D010100:Oxygen / Q000097:blood
D010100:Oxygen
cognitive control; medial frontal cortex; meta-analysis; pain