Evidence map›Paper›PMID 40962558›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2025

Switching Patterns of Cortical-Subcortical Interaction in the Human Brain.

Alessandro Nazzi, Chiara Favaretto, Antonino Vallesi, Maurizio Corbetta, Michele Allegra

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alessandro NazziPadova Neuroscience Center, University of Padova, Padova 35129, Italy.ORCID 0009-0008-1286-9092
Chiara FavarettoDepartment of Neuroscience, University of Padova, Padova 35121, Italy.ORCID 0000-0002-4338-2008
Antonino VallesiPadova Neuroscience Center, University of Padova, Padova 35129, Italy.
Maurizio CorbettaPadova Neuroscience Center, University of Padova, Padova 35129, Italy.
Michele AllegraPadova Neuroscience Center, University of Padova, Padova 35129, Italy michele.allegra@unipd.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is still poorly understood how subcortical structures contribute to spontaneous infraslow brain activity. In fact, cortical spontaneous activity is often analyzed in isolation, possibly a result of a long-standing "corticocentric bias". Here, we consider a large cohort of healthy human subjects of either sex (Human Connectome Project database), and we perform a dynamic functional connectivity (FC) analysis to investigate fluctuations of cortical-subcortical interactions. Our analysis shows that FC shifts in the cortex and the subcortex are synchronized. Two core subcortical "clusters" comprising, respectively, limbic regions (hippocampus and amygdala) and subcortical nuclei (thalamus and basal ganglia) show a temporally flexible coupling with cortical regions. Correspondingly, we consistently observe two recurring FC patterns (states). In State 1, limbic regions couple with the default mode network, and in State 2, they couple with sensorimotor networks. An opposite pattern is observed for the thalamus/basal ganglia. Our findings suggest that cortical-subcortical interactions contribute to shaping whole-brain spontaneous FC patterns and underline the relevance of including the subcortex in descriptions of large-scale spontaneous brain activity.

Indexed as

Cerebral CortexConnectomeNerve NetNeural PathwaysBasal GangliaFemaleHealthy VolunteersHumansLimbic SystemMagnetic Resonance ImagingMaleThalamusdynamic functional connectivityfMRIHuman Connectome Projectsubcortical regions

Identifiers

PMID40962558
PMCPMC12572929

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.