Evidence map›Paper›PMID 30994310›Full record

SynthesisJournal of psychiatry & neuroscience : JPN2019

Altered thalamo–cortical and occipital–parietal– temporal–frontal white matter connections in patients with anorexia and bulimia nervosa: a systematic review of diffusion tensor imaging studies

Santino Gaudio, Filippo Carducci, Claudia Piervincenzi, Gaia Olivo, Helgi B. Schiöth

Registry-linked trialOpen access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Journal of psychiatry & neuroscience : JPN, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01882023 (Comparing Neural Responses to Explicit and Subliminal Food Images in EDNOS Patients and Healthy Controls Using fMRI), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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.

NCT01882023 suspendednot on this map

Comparing Neural Responses to Explicit and Subliminal Food Images in EDNOS Patients and Healthy Controls Using fMRI

TypeobservationalSponsorUppsala UniversityRan2011 to 2031Enrolled150ConditionsEating Disorders
3 · Its place in the literature

Who cites it

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

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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

5 authors at 3 institutions in 3 countries.

Santino GaudioFrom the Department of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden (Gaudio, Olivo, Schiöth); the Centre for Integrated Research, Area of Diagnostic Imaging, Universita Campus Bio-Medico di Roma, Rome, Italy (Gaudio); the Department of Physiology and Pharmacology, Neuroimaging Laboratory, Sapienza University, Rome, Italy (Carducci, Piervincenzi); and the Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University, Moscow, Russia (Schiöth).
Filippo CarducciFrom the Department of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden (Gaudio, Olivo, Schiöth); the Centre for Integrated Research, Area of Diagnostic Imaging, Universita Campus Bio-Medico di Roma, Rome, Italy (Gaudio); the Department of Physiology and Pharmacology, Neuroimaging Laboratory, Sapienza University, Rome, Italy (Carducci, Piervincenzi); and the Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University, Moscow, Russia (Schiöth).
Claudia PiervincenziFrom the Department of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden (Gaudio, Olivo, Schiöth); the Centre for Integrated Research, Area of Diagnostic Imaging, Universita Campus Bio-Medico di Roma, Rome, Italy (Gaudio); the Department of Physiology and Pharmacology, Neuroimaging Laboratory, Sapienza University, Rome, Italy (Carducci, Piervincenzi); and the Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University, Moscow, Russia (Schiöth).
Gaia OlivoFrom the Department of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden (Gaudio, Olivo, Schiöth); the Centre for Integrated Research, Area of Diagnostic Imaging, Universita Campus Bio-Medico di Roma, Rome, Italy (Gaudio); the Department of Physiology and Pharmacology, Neuroimaging Laboratory, Sapienza University, Rome, Italy (Carducci, Piervincenzi); and the Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University, Moscow, Russia (Schiöth).
Helgi B. SchiöthFrom the Department of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden (Gaudio, Olivo, Schiöth); the Centre for Integrated Research, Area of Diagnostic Imaging, Universita Campus Bio-Medico di Roma, Rome, Italy (Gaudio); the Department of Physiology and Pharmacology, Neuroimaging Laboratory, Sapienza University, Rome, Italy (Carducci, Piervincenzi); and the Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University, Moscow, Russia (Schiöth).
Sechenov University · RUSapienza University of Rome · ITUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anorexia nervosa and bulimia nervosa are complex mental disorders, and their etiology is still not fully understood. This paper reviews the literature on diffusion tensor imaging studies in patients with anorexia nervosa and bulimia nervosa to explore the usefulness of white matter microstructural analysis in understanding the pathophysiology of eating disorders. Methods: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify diffusion tensor imaging studies that compared patients with an eating disorder to control groups. We searched relevant databases for studies published from database inception to August 2018, using combinations of select keywords. We categorized white matter tracts according to their 3 main classes: projection (i.e., thalamo–cortical), association (i.e., occipital–parietal–temporal–frontal) and commissural (e.g., corpus callosum). Results: We included 19 papers that investigated a total of 427 participants with current or previous eating disorders and 444 controls. Overall, the studies used different diffusion tensor imaging approaches and showed widespread white matter abnormalities in patients with eating disorders. Despite differences among the studies, patients with anorexia nervosa showed mainly white matter microstructural abnormalities of thalamo–cortical tracts (i.e., corona radiata, thalamic radiations) and occipital–parietal–temporal–frontal tracts (i.e., left superior longitudinal and inferior fronto-occipital fasciculi). It was less clear whether white matter alterations persist after recovery from anorexia nervosa. Available data on bulimia nervosa were partially similar to those for anorexia nervosa. Limitations: Study sample composition and diffusion tensor imaging analysis techniques were heterogeneous. The number of studies on bulimia nervosa was too limited to be conclusive. Conclusion: White matter microstructure appears to be affected in anorexia nervosa, and these alterations may play a role in the pathophysiology of this eating disorder. Although we found white matter alterations in bulimia nervosa that were similar to those in anorexia nervosa, white matter changes in bulimia nervosa remain poorly investigated, and these findings were less conclusive. Further studies with longitudinal designs and multi-approach analyses are needed to better understand the role of white matter changes in eating disorders.

Indexed as

Anorexia NervosaBulimia NervosaCerebral CortexDiffusion Tensor ImagingHumansNeural PathwaysOccipital LobeParietal LobeTemporal LobeThalamusWhite Matter

Identifiers

PMID30994310
PMCPMC6710091
OpenAlexW2971053482

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.