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, 20 (2), 133-140

The Frontoparietal Network: Function, Electrophysiology, and Importance of Individual Precision Mapping


The Frontoparietal Network: Function, Electrophysiology, and Importance of Individual Precision Mapping

Scott Marek et al. Dialogues Clin Neurosci.


The frontoparietal network is critical for our ability to coordinate behavior in a rapid, accurate, and flexible goal-driven manner. In this review, we outline support for the framing of the frontoparietal network as a distinct control network, in part functioning to flexibly interact with and alter other functional brain networks. This network coordination likely occurs in a 4 Hz to 73 Hz θ/α rhythm, both during resting state and task state. Precision mapping of individual human brains has revealed that the functional topography of the frontoparietal network is variable between individuals, underscoring the notion that group-average studies of the frontoparietal network may be obscuring important typical and atypical features. Many forms of psychopathology implicate the frontoparietal network, such as schizophrenia and attention-deficit/hyperactivity disorder. Given the interindividual variability in frontoparietal network organization, clinical studies will likely benefit greatly from acquiring more individual subject data to accurately characterize resting-state networks compromised in psychopathology.

Keywords: cognitive control; cognitive flexibility; frontoparietal; intraparietal sulcus; lateral prefrontal cortex; psychopathology.


Figure 1.
Figure 1.. Individual frontoparietal network assignments (yellow patches) displayed on the left hemisphere cortical surface from the Midnight Scan Club (outer ring). The central montage depicts the number of subjects having a frontoparietal network assignment on the left and right lateral and medial cortical surface. Yellow arrows indicate exemplar patches where there is a high degree of overlap in frontoparietal assignment across subjects. Conversely, red arrows show exemplar areas where a minority of subjects contains frontoparietal network patches, highlighting the relatively large degree of heterogeneity in frontoparietal network topography. Only 52 vertices out of the 19 074 (0.3%) vertices had overlap across all 10 subjects, and 1171 of 19 074 vertices (6.1%) had overlap across eight subjects. This high degree of heterogeneity is especially prominent across large swaths of the lateral prefrontal cortex.

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