ArticlePloS one2013
Structural brain changes as biomarkers and outcome predictors in patients with late-life depression: a cross-sectional and prospective study.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.
- Structural and functional neuroimaging of late-life depression: a coordinate-based meta-analysis.Brain imaging and behavior · 2022Pooled it
- Volumetric brain differences in clinical depression in association with anxiety: a systematic review with meta-analysis.Journal of psychiatry & neuroscience : JPN · 2020Pooled it
- Trajectories in Cerebral Blood Flow Following Antidepressant Treatment in Late-Life Depression: Support for the Vascular Depression Hypothesis.The Journal of clinical psychiatry · 2018Trial
- The Relationship Between Polygenic Risk of Depression and Regional Brain Atrophy in Older Adults.International journal of geriatric psychiatry · 2026Article
- Moderators of treatment response in late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- The heterogeneity of late-life depression and its pathobiology: a brain network dysfunction disorder.Journal of neural transmission (Vienna, Austria : 1996) · 2023Review
- Structural and functional differences in the brains of patients with MCI with and without depressive symptoms and their relations with Alzheimer's disease: an MRI study.Psychoradiology · 2023Article
- Gut Microbiome Diversity and Abundance Correlate with Gray Matter Volume (GMV) in Older Adults with Depression.International journal of environmental research and public health · 2022Article
- Cortical thickness predicts remission of depression with antidepressants in patients with late-life depression and cognitive impairment.Journal of affective disorders · 2021Article
- Subjective age, depressive symptoms, and cognitive functioning across five domains.Journal of clinical and experimental neuropsychology · 2021Article
- Sexual Dimorphism in the Brain Correlates of Adult-Onset Depression: A Pilot Structural and Functional 3T MRI Study.Frontiers in psychiatry · 2021Article
- Promising Neuroimaging Biomarkers in Depression.Psychiatry investigation · 2019Article
- A population study of Norwegian psychiatric patients referred for clinical brain scanning.BJPsych open · 2018Article
- The C677T variant inBiological psychiatry. Cognitive neuroscience and neuroimaging · 2017Article
- Default mode network deactivation during emotion processing predicts early antidepressant response.Translational psychiatry · 2017Article
- Vascular depression consensus report - a critical update.BMC medicine · 2016Article
- Gray matter increases in fronto-parietal regions of depression patients with aripiprazole monotherapy: An exploratory study.Medicine · 2016Article
- Reconsidering Animal Models of Major Depressive Disorder in the Elderly.Frontiers in aging neuroscience · 2016Article
- Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction.International journal of geriatric psychiatry · 2015Article
- Relationship between Brain Age-Related Reduction in Gray Matter and Educational Attainment.PloS one · 2015Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
The relationship between structural changes in grey matter and treatment response in patients with late-life depression remains an intriguing area of research. This magnetic resonance imaging (MRI) study compares the baseline grey matter volume of elderly people with and without major depression (according to the DSM-IV-TR criteria) and assesses its association with antidepressant treatment response. Brain MRI scans were processed using statistical parametric mapping and voxel-based morphometry. The sample consisted of 30 patients with depression and 22 healthy controls. We found a significant volumetric reduction in the orbitofrontal cortex bilaterally in patients in comparison with controls. According to their remission status after antidepressant treatment, patients were classified as remitted or not remitted. Compared with controls, remitted patients showed a volumetric reduction in the orbitofrontal cortex bilaterally and in another cluster in the right middle temporal pole. Non-remitted patients showed an even greater volumetric reduction in the orbitofrontal cortex bilaterally compared with controls. To investigate predictive factors of remission after antidepressant treatment, we used a logistic regression. Both baseline Mini Mental State Examination score and baseline left superior lateral orbitofrontal cortex volume (standardized to the total grey matter volume) were associated with remission status. Our findings support the use of regional brain atrophy as a potential biomarker for depression. In addition, baseline cognitive impairment and regional grey matter abnormalities predict antidepressant response in patients with late-life depression.
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Registered trials
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