ArticleThe International journal of eating disorders2018
Cortical thickness patterns as state biomarker of anorexia nervosa.
Article in The International journal of eating disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.
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Who cites it
36 citing papers in PubMed, 3 syntheses or guidelines pooled it, 60 citations in OpenAlex.
- Neuroimaging and machine learning in eating disorders: a systematic review.Eating and weight disorders : EWD · 2025Pooled it
- Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review.JAMA network open · 2023Pooled it
- A meta-analytic investigation of grey matter differences in anorexia nervosa and autism spectrum disorder.European eating disorders review : the journal of the Eating Disorders Association · 2022Pooled it
- Predicting progression-free survival in glioblastoma with neuroimaging and machine learning.Journal of neuro-oncology · 2026Article
- Recovery From Anorexia Nervosa: A Concept Analysis.Journal of advanced nursing · 2026Review
- Brain morphology in Anorexia Nervosa and its subtypes: A multi-cohort study of individual participant data.PLoS medicine · 2026Article
- Body Mass Index Impacts on Gray Matter Volume in Developmental Restrictive Anorexia Nervosa: A Voxel-Based Morphometry Study.Nutrients · 2025Article
- Does restrictive anorexia nervosa impact brain aging? A machine learning approach to estimate age based on brain structure.Computers in biology and medicine · 2025Article
- Neuroanatomical associations with autistic characteristics in those with acute anorexia nervosa and weight-restored individuals.Psychological medicine · 2025Article
- Shared Genetic Architecture Between Schizophrenia and Anorexia Nervosa: A Cross-trait Genome-Wide Analysis.Schizophrenia bulletin · 2024Article
- Individual Differences in Bodily Self-Consciousness and Its Neural Basis.Brain sciences · 2024Review
- Lower region-specific gray matter volume in females with atypical anorexia nervosa and anorexia nervosa.The International journal of eating disorders · 2024Article
- Predicting long-term outcome in anorexia nervosa: a machine learning analysis of brain structure at different stages of weight recovery.Psychological medicine · 2023Article
- Predicting survival in glioblastoma with multimodal neuroimaging and machine learning.Journal of neuro-oncology · 2023Article
- Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry.BMC medicine · 2023Article
- Potential benefits and limitations of machine learning in the field of eating disorders: current research and future directions.Journal of eating disorders · 2022Review
- Individual differences in the experience of body ownership are related to cortical thickness.Scientific reports · 2022Article
- Neural Representations of Food-Related Attributes in the Human Orbitofrontal Cortex during Choice Deliberation in Anorexia Nervosa.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Harmonization of Multicenter Cortical Thickness Data by Linear Mixed Effect Model.Frontiers in aging neuroscience · 2022Article
- Glial cells in anorexia.Frontiers in cellular neuroscience · 2022Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveOnly few studies have investigated cortical thickness in anorexia nervosa (AN), and it is unclear whether patterns of altered cortical thickness can be identified as biomarkers for AN.
methodCortical thickness was measured in 19 adult women with restricting-type AN, 24 individuals recovered from restricting-type AN (REC-AN) and 24 healthy controls. Those individuals with current or recovered from AN had previously shown altered regional cortical volumes across orbitofrontal cortex and insula. A linear relevance vector machine-learning algorithm estimated patterns of regional thickness across 24 subdivisions of those regions.
resultsRegion-based analysis showed higher cortical thickness in AN and REC-AN, compared to controls, in the right medial orbital (olfactory) sulcus, and greater cortical thickness for short insular gyri in REC-AN versus controls bilaterally. The machine-learning algorithm identified a pattern of relatively higher right orbital, right insular and left middle frontal cortical thickness, but lower left orbital, right middle and inferior frontal, and bilateral superior frontal cortical thickness specific to AN versus controls (74% specificity and 74% sensitivity, χ
conclusionsHigher cortical thickness in medial orbitofrontal cortex and insula probably contributes to higher gray matter volume in AN in those regions. The machine-learning algorithm identified a mixed pattern of mostly higher orbital and insular, but relatively lower superior frontal cortical thickness in individuals with current AN. These novel results suggest that regional cortical thickness patterns could be state markers for AN.
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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.