ReviewFrontiers in neural circuits2021
A Canonical Scheme of Bottom-Up and Top-Down Information Flows in the Frontoparietal Network.
Review in Frontiers in neural circuits, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 14 citations in OpenAlex.
- Independence and coherence in temporal sequence computation across the fronto-parietal network.Nature communications · 2026Article
- Cortex-wide characterization of decision-making neural dynamics during spatial navigation.Nature communications · 2026Article
- The impact of chronic heroin addiction on creative cognition: an EEG study based on divergent thinking.Translational psychiatry · 2025Article
- Localizing Synergies of Hidden Factors in Complex Systems: Resting Brain Networks and HeLa GeneExpression Profile as Case Studies.Entropy (Basel, Switzerland) · 2025Article
- Modeling intentionality in the human brain.Frontiers in psychiatry · 2023Article
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Authors and funding
3 authors at 2 institutions in 3 countries.
Funding
Abstract
Goal-directed behavior often involves temporal separation and flexible context-dependent association between sensory input and motor output. The control of goal-directed behavior is proposed to lie in the frontoparietal network, but the computational architecture of this network remains elusive. Based on recent rodent studies that measured and manipulated projection neurons in the frontoparietal network together with findings from earlier primate studies, we propose a canonical scheme of information flows in this network. The parietofrontal pathway transmits the spatial information of a sensory stimulus or internal motor bias to drive motor programs in the frontal areas. This pathway might consist of multiple parallel connections, each controlling distinct motor effectors. The frontoparietal pathway sends the spatial information of cognitively processed motor plans through multiple parallel connections. Each of these connections could support distinct spatial functions that use the motor target information, including attention allocation, multi-body part coordination, and forward estimation of movement state (i.e., forward models). The parallel pathways in the frontoparietal network enable dynamic interactions between regions that are tuned for specific goal-directed behaviors. This scheme offers a promising framework within which the computational architecture of the frontoparietal network and the underlying circuit mechanisms can be delineated in a systematic way, providing a holistic understanding of information processing in this network. Clarifying this network may also improve the diagnosis and treatment of behavioral deficits associated with dysfunctional frontoparietal connectivity in various neurological disorders including Alzheimer's disease.
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