Evidence map›Paper›PMID 36003959›Full record

ArticleFrontiers in neuroscience2022

Metabolic connectivity of resting-state networks in alpha synucleinopathies, from prodromal to dementia phase.

Cecilia Boccalini, Elisa Bortolin, Giulia Carli, Andrea Pilotto, Andrea Galbiati, Alessandro Padovani, Luigi Ferini-Strambi, Daniela Perani

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. A spatial covarianceJournal of neurology · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Insular monoaminergic deficits in prodromal α-synucleinopathies.Annals of clinical and translational neurology · 2024
    Article
  8. Article
  9. 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

8 authors.

Cecilia BoccaliniSchool of Psychology, Vita-Salute San Raffaele University, Milan, Italy.
Elisa BortolinSchool of Psychology, Vita-Salute San Raffaele University, Milan, Italy.
Giulia CarliIn Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Andrea PilottoNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Andrea GalbiatiSchool of Psychology, Vita-Salute San Raffaele University, Milan, Italy.
Alessandro PadovaniNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Luigi Ferini-StrambiSchool of Psychology, Vita-Salute San Raffaele University, Milan, Italy.
Daniela PeraniSchool of Psychology, Vita-Salute San Raffaele University, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous evidence suggests that the derangement of large-scale brain networks reflects structural, molecular, and functional mechanisms underlying neurodegenerative diseases. Although the alterations of multiple large-scale brain networks in Parkinson's disease (PD) and Dementia with Lewy Bodies (DLB) are reported, a comprehensive study on connectivity reconfiguration starting from the preclinical phase is still lacking. We aimed to investigate shared and disease-specific changes in the large-scale networks across the Lewy Bodies (LB) disorders spectrum using a brain metabolic connectivity approach. We included 30 patients with isolated REM sleep behavior disorder (iRBD), 28 with stable PD, 30 with DLB, and 30 healthy controls for comparison. We applied seed-based interregional correlation analyses (IRCA) to evaluate the metabolic connectivity in the large-scale resting-state networks, as assessed by [18F]FDG-PET, in each clinical group compared to controls. We assessed metabolic connectivity changes by applying the IRCA and specific connectivity metrics, such as the weighted and unweighted Dice similarity coefficients (DC), for the topographical similarities. All the investigated large-scale brain resting-state networks showed metabolic connectivity alterations, supporting the widespread involvement of brain connectivity within the alpha-synuclein spectrum. Connectivity alterations were already evident in iRBD, severely affecting the posterior default mode, attentive and limbic networks. Strong similarities emerged in iRBD and DLB that showed comparable connectivity alterations in most large-scale networks, particularly in the posterior default mode and attentive networks. Contrarily, PD showed the main connectivity alterations limited to motor and somatosensory networks. The present findings reveal that metabolic connectivity alterations in the large-scale networks are already present in the early iRBD phase, resembling the DLB metabolic connectivity changes. This suggests and confirms iRBD as a risk condition for progression to the severe LB disease phenotype. Of note, the neurobiology of stable PD supports its more benign phenotype.

Indexed as

[18F]FDG-PETalpha-synuclein spectrumisolated REM sleep behavior disorderlarge-scale brain networksmetabolic connectivity

Identifiers

PMID36003959
PMCPMC9394228

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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.