Evidence map›Paper›PMID 41565763›Full record

ArticleScientific reports2026

MCI-LB brain networks reorganization in relation to specific cognitive domains deficits.

Valeria Onofrj, Raffaella Franciotti, Kristina Mitterova, Lubos Brabenec, Martin Gajdos, Ivona Moravkova, Antonio Ferretti, Sara Spadone, Caterina Padulo, Antonello Baldassarre and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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. Article
  2. 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

12 authors.

Valeria OnofrjDepartment of Clinical Imaging Hôpital Erasme, Université Libre de Bruxelles, Hôpital Universitaire des Enfants Reine Fabiola, Route de Lennik 808, Avenue Jean-Joseph Crocq 15, Bruxelles, Bruxelles, 1070, 1020, Belgium. valeria.onofrj@hubruxelles.be.
Raffaella FranciottiDepartment of Neuroscience, Imaging and Clinical Sciences, Institute for Advanced Biomedical Technologies, G. d'Annunzio University of Chieti-Pescara, Chieti, Italy.
Kristina MitterovaNeuroscience Programme, Central European Institute of Technology, CEITEC, Masaryk University, Brno, Czech Republic.
Lubos BrabenecNeuroscience Programme, Central European Institute of Technology, CEITEC, Masaryk University, Brno, Czech Republic.
Martin GajdosNeuroscience Programme, Central European Institute of Technology, CEITEC, Masaryk University, Brno, Czech Republic.
Ivona MoravkovaFaculty of Medicine, Masaryk University, Brno, Czech Republic.
Antonio FerrettiDepartment of Neuroscience, Imaging and Clinical Sciences, Institute for Advanced Biomedical Technologies, G. d'Annunzio University of Chieti-Pescara, Chieti, Italy.
Sara SpadoneUniCamillus-Saint Camillus International University of Health Sciences, Rome, Italy.
Caterina PaduloDepartment of Humanities, University of Naples, Federico II, Naples, Italy.
Antonello BaldassarreDepartment of Neuroscience, Imaging and Clinical Sciences, Institute for Advanced Biomedical Technologies, G. d'Annunzio University of Chieti-Pescara, Chieti, Italy.
Stefano L SensiDepartment of Neuroscience, Imaging and Clinical Sciences, Institute for Advanced Biomedical Technologies, G. d'Annunzio University of Chieti-Pescara, Chieti, Italy.
Irena RektorovaNeuroscience Programme, Central European Institute of Technology, CEITEC, Masaryk University, Brno, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To tackle the disease-related process in early pre-dementia Lewy Body Dementia, we investigated the changes of functional brain networks and their cognitive relevance. A cohort of 38 Mild Cognitive Impairment with Lewy Bodies (MCI-LB) subjects and one of 24 healthy controls (HC) underwent neuropsychological assessment and resting state (RS) functional and structural MRI. Functional connectivity (FC) between ROIs belonging to a set of RS networks, including the Salience Network (SN), Fronto-Parietal (FPN), Default Mode (DMN), Dorsal and Ventral Attention (DAN and VAN), Somato-Motor (SMN), Visual (VN) and Language (LN) was estimated and compared between cohorts. Finally, neuropsychological scores were correlated with FC of MCI-LB and HC separately. Compared to HC, MCI-LB exhibited lower FC between DAN, FPN and LN. Higher inter-network FC was found between FPN and SN, FPN and DMN, SN and SMN and DAN and SMN. In MCI-LB the correlational analysis revealed significant positive and negative associations between cognitive performance and FC values between nodes. In conclusion, we found a possible compensation mechanism between nodes in SN and FPN, and FPN and DMN following disconnection between the control system of the FPN and the top down attention system. The complex compensatory mechanisms involving multiple networks may not be efficient to counteract the cognitive impairment in MCI-LB. Overall, in MCI-LB we found an aberrant engagement of the networks that are not primarily involved in the performance of specific tasks.

Indexed as

BrainCognitive DysfunctionLewy Body DiseaseNerve NetAgedBrain MappingCognitionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsFunctional magnetic resonance imaging (fMRI)Large-scale brain networksMild cognitive impairment with lewy bodies (MCI-LB)Resting state functional connectivity

Identifiers

PMID41565763
PMCPMC12894966

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.