Evidence map›Paper›PMID 42207334›Full record

ArticleBrain structure & function2026

Inside the frontal face network: multimodal evidence for distinct emotional and motor resonance circuits.

Beatrice De Negri, Luciano Simone, Fausto Caruana, Marzio Gerbella

Abstract read
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Article in Brain structure & function, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Beatrice De NegriDepartment of Medicine and Surgery (DIMEC), University of Parma, Parma, Italy.
Luciano SimoneDepartment of Medicine and Surgery (DIMEC), University of Parma, Parma, Italy.
Fausto CaruanaInstitute of Neuroscience, National Research Council of Italy (CNR), Parma, Italy. fausto.caruana@in.cnr.it.
Marzio GerbellaDepartment of Medicine and Surgery (DIMEC), University of Parma, Parma, Italy. marzio.gerbella@unipr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The perception of emotional facial expressions engages widespread cortical networks, extending beyond occipito-temporal visual areas to multiple frontal and perisylvian regions. While the connectivity of the occipito-temporal territories involved in visual processing of faces has been extensively mapped, the frontal and perisylvian pathways, comprising motor, emotional, and cognitive-attentional components, remain less understood. Building on intracranial recordings, electrical stimulation, and cortico-cortical evoked potentials, our previous work identified two frontal-perisylvian clusters: a premotor cluster (constituted by Rolandic operculum and a region between the frontal eye fields and the ventral premotor cortex) supporting motor resonance, and a limbic/prefrontal cluster (composed by prefrontal and cingulate territories) supporting emotional resonance. Here, combining diffusion tractography (DTI) and resting-state fMRI (rsfMRI), we provide a detailed anatomical and functional connectivity framework for these regions. DTI revealed seven principal fiber tracts organizing the clusters into three coherent networks, while rsfMRI demonstrated shared and dissociable connectivity patterns among them partially consistent with Default Mode, Ventral Attention, Dorsal Attention, Frontoparietal, and Sensorimotor networks. The first two networks here identified largely correspond to the limbic/prefrontal and premotor clusters described in our previous study, while the third appears to serve as a nexus between the first two and as a source of visual information for them. These findings outline a tripartite architecture-emotional, premotor, and cognitive networks-through which facial emotion recognition may operates via parallel, functionally specialized streams, enabling both motor and emotional resonance and supporting adaptive social behavior.

Indexed as

EmotionsFacial ExpressionFacial RecognitionFrontal LobeAdultBrain MappingDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysYoung AdultCingulateInsulaMirror systemPrefrontal

Identifiers

PMID42207334
PMCPMC13219183

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.