Evidence map›Paper›PMID 26697999›Full record

ArticleBrain, behavior, and immunity2016

Interferon-α acutely impairs whole-brain functional connectivity network architecture - A preliminary study.

Ottavia Dipasquale, Ella A Cooper, Jeremy Tibble, Valerie Voon, Francesca Baglio, Giuseppe Baselli, Mara Cercignani, Neil A Harrison

Open access · hybridAbstract read
In one paragraph

Article in Brain, behavior, and immunity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% of its field
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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

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  14. Metabolic underpinnings of cancer-related fatigue.American journal of physiology. Endocrinology and metabolism · 2024
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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 at 4 institutions in 2 countries.

Ottavia DipasqualeDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy; IRCCS, Fondazione don Carlo Gnocchi, Milan, Italy; Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, UK.
Ella A CooperClinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, UK.
Jeremy TibbleDepartment of Gastroenterology, Brighton & Sussex University Hospitals, Brighton, UK.
Valerie VoonDepartment of Psychiatry, University of Cambridge, Cambridge, UK; Cambridge and Peterborough NHS Foundation Trust, Cambridge, UK.
Francesca BaglioIRCCS, Fondazione don Carlo Gnocchi, Milan, Italy.
Giuseppe BaselliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Mara CercignaniClinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, UK; Neuroimaging Laboratory, Santa Lucia Foundation, Rome, Italy.
Neil A HarrisonClinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, UK; Sackler Centre for Consciousness Science, University of Sussex, Falmer, UK; Sussex Partnership NHS Foundation Trust, Brighton, UK. Electronic address: n.harrison@bsms.ac.uk.
Brighton and Sussex Medical School · GBDon Carlo Gnocchi Foundation · ITPolitecnico di Milano · ITUniversity of Cambridge · GB

Funding

Wellcome Trust 093875
6 · The paper itself

Abstract

Interferon-alpha (IFN-α) is a key mediator of antiviral immune responses used to treat Hepatitis C infection. Though clinically effective, IFN-α rapidly impairs mood, motivation and cognition, effects that can appear indistinguishable from major depression and provide powerful empirical support for the inflammation theory of depression. Though inflammation has been shown to modulate activity within discrete brain regions, how it affects distributed information processing and the architecture of whole brain functional connectivity networks have not previously been investigated. Here we use a graph theoretic analysis of resting state functional magnetic resonance imaging (rfMRI) to investigate acute effects of systemic interferon-alpha (IFN-α) on whole brain functional connectivity architecture and its relationship to IFN-α-induced mood change. Twenty-two patients with Hepatitis-C infection, initiating IFN-α-based therapy were scanned at baseline and 4h after their first IFN-α dose. The whole brain network was parcellated into 110 cortical and sub-cortical nodes based on the Oxford-Harvard Atlas and effects assessed on higher-level graph metrics, including node degree, betweenness centrality, global and local efficiency. IFN-α was associated with a significant reduction in global network connectivity (node degree) (p=0.033) and efficiency (p=0.013), indicating a global reduction of information transfer among the nodes forming the whole brain network. Effects were similar for highly connected (hub) and non-hub nodes, with no effect on betweenness centrality (p>0.1). At a local level, we identified regions with reduced efficiency of information exchange and a sub-network with decreased functional connectivity after IFN-α. Changes in local and particularly global functional connectivity correlated with associated changes in mood measured on the Profile of Mood States (POMS) questionnaire. IFN-α rapidly induced a profound shift in whole brain network structure, impairing global functional connectivity and the efficiency of parallel information exchange. Correlations with multiple indices of mood change support a role for global changes in brain functional connectivity architecture in coordinated behavioral responses to IFN-α.

Indexed as

AdultBrainBrain MappingFemaleHumansInterferon-alphaMagnetic Resonance ImagingMaleMiddle AgedInterferon-alphaBrain networkCytokineFunctional connectivityGraph theoryInflammationInterferon-αResting state fMRI

Identifiers

PMID26697999
PMCPMC5074446
OpenAlexW2199553413

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.