Evidence map›Paper›PMID 41149840›Full record

ReviewJournal of personalized medicine2025

Neuroanatomical and Functional Correlates in Depressive Spectrum: A Narrative Review.

Giulio Perrotta, Anna Sara Liberati, Stefano Eleuteri

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

3 authors.

Giulio PerrottaDepartment of Human and Social Sciences, Universitas Mercatorum, Piazza Mattei 10, 00186 Rome, Italy.ORCID 0000-0003-0229-5562
Anna Sara LiberatiFaculty of Psychology, Università Telematica Internazionale "Uninettuno", 00186 Rome, Italy.ORCID 0000-0003-0208-6322
Stefano EleuteriDepartment of Human and Social Sciences, Universitas Mercatorum, Piazza Mattei 10, 00186 Rome, Italy.ORCID 0000-0002-8416-2845

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depressive spectrum disorders are considered among the most common in the general population. Major depressive disorder and persistent depressive disorder (or dysthymia) are the most recognized, but other depressive disorders exist with varying or no specificity. The main difference between major depressive disorder and dysthymia lies in the duration and intensity of symptoms. Improving our understanding of its etiology and pathogenesis must be a priority for health and safety. Given the complexity of the evidence in the literature, it was deemed useful to provide a comprehensive summary of the neuroanatomical dysfunctions currently identified, with particular attention to the anterior and medial cingulate cortex, dorsolateral and ventromedial prefrontal cortex, posterior parietal cortex, insula, amygdala, and hippocampus. Significant neural network alterations include hyperconnectivity of the default mode network (DMN), impairment of the executive control network (ECN), and dysfunction of the salience network (Salience Network). Neurophysiological markers reveal frontal alpha asymmetries and front-striatal metabolic alterations. Studying neural correlates is essential to deepen our understanding of the depressive spectrum and the development of personalized therapeutic interventions, including noninvasive neurostimulation techniques and target-specific pharmacological therapies, opening new avenues for translational research in neuropsychiatric settings.

Indexed as

amygdalaanterior cingulate cortexatypical depressionbiotypesdefault mode networkdepressive spectrumdysthymiahippocampusmajor depressivemelancholic depressionneuroanatomical correlatesneuroimagingprefrontal cortex

Identifiers

PMID41149840
PMCPMC12565479

What OpenQuestion holds

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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.