Evidence map›Paper›PMID 25287597›Full record

ReviewNature reviews. Neurology2014

Brain connectivity in neurodegenerative diseases--from phenotype to proteinopathy.

Michela Pievani, Nicola Filippini, Martijn P van den Heuvel, Stefano F Cappa, Giovanni B Frisoni

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04265482 (GERO Cohort Protocol, Chile, 2017 - 2019), which is not on this map. Cited by 161 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
161citing papers in PubMed, 3 pooled it
–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.

NCT04265482 unknown statusnot on this mapstarted 2017, after this paper: background citation

GERO Cohort Protocol, Chile, 2017 - 2019: Community-based Cohort of Functional Decline in Subjective Cognitive Complaint Elderly

TypeobservationalSponsorGeroscience Center for Brain Health and Metabolism (Gero)Ran2017 to 2023Enrolled300ConditionsSubjective Cognitive Complaint, Activities Daily Living, Dementia, Alzheimer Disease
3 · Its place in the literature

Who cites it

161 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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101 more citing papers are in PubMed but not listed here.

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.

Michela PievaniLaboratory of Epidemiology, Neuroimaging and Telemedicine (LENITEM), Istituto Centro San Giovanni di Dio, Fatebenefratelli, via Pilastroni 4, 25125 Brescia, Italy.
Nicola FilippiniUniversity Department of Psychiatry, Warneford Hospital, Warneford Lane, Oxford OX3 7JX, UK.
Martijn P van den HeuvelBrain Center Rudolf Magnus, University Medical Center, Heidelberglaan 100, 85500 3908 GA Utrecht, Netherlands.
Stefano F CappaIstituto Universitario di Studi Superiori (IUSS), Piazza della Vittoria 15, 27100 Pavia, Italy.
Giovanni B FrisoniMemory Clinic and LANVIE-Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Chemin du Petit Bel-Air 2 (Bâtiment Voirons), CH-1225 Chêne-Bourg, Genève, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional and structural connectivity measures, as assessed by means of functional and diffusion MRI, are emerging as potential intermediate biomarkers for Alzheimer disease (AD) and other disorders. This Review aims to summarize current evidence that connectivity biomarkers are associated with upstream and downstream disease processes (molecular pathology and clinical symptoms, respectively) in the major neurodegenerative diseases. The vast majority of studies have addressed functional and structural connectivity correlates of clinical phenotypes, confirming the predictable correlation with topography and disease severity in AD and frontotemporal dementia. In neurodegenerative diseases with motor symptoms, structural--but, to date, not functional--connectivity has been consistently found to be associated with clinical phenotype and disease severity. In the latest studies, the focus has moved towards the investigation of connectivity correlates of molecular pathology. Studies in cognitively healthy individuals with brain amyloidosis or genetic risk factors for AD have shown functional connectivity abnormalities in preclinical disease stages that are reminiscent of abnormalities observed in symptomatic AD. This shift in approach is promising, and may aid identification of early disease markers, establish a paradigm for other neurodegenerative disorders, shed light on the molecular neurobiology of connectivity disruption and, ultimately, clarify the pathophysiology of neurodegenerative diseases.

Indexed as

Alzheimer DiseaseBrainDiffusion Magnetic Resonance ImagingFrontotemporal DementiaFunctional NeuroimagingHumansMagnetic Resonance ImagingNeural PathwaysNeurodegenerative DiseasesPhenotypeProdromal Symptoms

Identifiers

What OpenQuestion holds

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Registered trials

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.