The frontoparietal network: function, electrophysiology, and importance of individual precision mapping

• Published in: Dialogues in clinical neuroscience Vol. 20; no. 2; pp. 133 - 140
• Main Authors: Marek, Scott, Dosenbach, Nico U. F.
• Format: Journal Article
• Language: English
• Published: France Taylor & Francis 01.06.2018; Les Laboratoires Servier
• Subjects: Animals; Attention Deficit Disorder with Hyperactivity - physiopathology; Basic Research; Brain - physiology; Brain - physiopathology; Brain Mapping; cognitive control; cognitive flexibility; Electrophysiological Phenomena; frontoparietal; Humans; intraparietal sulcus; lateral prefrontal cortex; Nerve Net - physiology; Nerve Net - physiopathology; Neural Pathways - physiology; Neural Pathways - physiopathology; psychopathology; lateral prefrontal cortex; intraparietal sulcus; cognitive control; cognitive flexibility; psychopathology; frontoparietal
• ISSN: 1958-5969; 1294-8322; 1958-5969
• DOI: 10.31887/DCNS.2018.20.2/smarek

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.