ArticleNeuroImage. Clinical2018
The hippocampal network model: A transdiagnostic metaconnectomic approach.
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 9 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- Neurofunctional Correlates of Emotional Dysregulation: Systematic Review and ALE Meta-Analysis.Brain and behavior · 2026Pooled it
- The Neural Blueprint of Novelty: A Meta-Analytic Dissection of Active and Passive Novelty Processing Networks.Brain and behavior · 2026Pooled it
- Neural mechanisms of behavioral addiction: An ALE meta-analysis and MACM analysis.Journal of behavioral addictions · 2025Pooled it
- Meta-analysis of fMRI studies related to mathematical creativity.Frontiers in psychology · 2024Pooled it
- Meta-analytic connectivity modelling of functional magnetic resonance imaging studies in autism spectrum disorders.Brain imaging and behavior · 2023Pooled it
- Co-alteration Network Architecture of Major Depressive Disorder: A Multi-modal Neuroimaging Assessment of Large-scale Disease Effects.Neuroinformatics · 2023Pooled it
- Pooled it
- Localised grey matter atrophy in multiple sclerosis is network-based: a coordinate-based meta-analysis.Clinical radiology · 2019Pooled it
- Functional Neural Architecture of Working Memory in Musicians: An ALE Meta-Analysis and Review.Wiley interdisciplinary reviews. Cognitive sciencePooled it
- Structural and functional covariance architecture of major depressive disorder: A meta-analytic structural equation modeling approach to primary neuroimaging analysis.Brain organoid & systems neuroscience journal · 2025Article
- Brain network of athletes in motor imagery and action anticipation: an ALE meta-analysis and MACM analysis.Frontiers in sports and active living · 2025Review
- Changes in microstructural similarity of hippocampal subfield circuits in pathological cognitive aging.Brain structure & function · 2024Article
- Altered structural hippocampal intra-networks in a general elderly Japanese population with mild cognitive impairment.Scientific reports · 2023Article
- Disturbed hippocampal intra-network in first-episode of drug-naïve major depressive disorder.Brain communications · 2023Article
- Article
- Brain pathology recapitulates physiology: A network meta-analysis.Communications biology · 2021Article
- Hippocampus co-atrophy pattern in dementia deviates from covariance patterns across the lifespan.Brain : a journal of neurology · 2020Article
- Approaches to Defining Common and Dissociable Neurobiological Deficits Associated With Psychopathology in Youth.Biological psychiatry · 2020Review
- Multimodal Parcellations and Extensive Behavioral Profiling Tackling the Hippocampus Gradient.Cerebral cortex (New York, N.Y. : 1991) · 2019Article
- A neural signature of metabolic syndrome.Human brain mapping · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Purpose: The hippocampus plays a central role in cognitive and affective processes and is commonly implicated in neurodegenerative diseases. Our study aimed to identify and describe a hippocampal network model (HNM) using trans-diagnostic MRI data from the BrainMap® database. We used meta-analysis to test the network degeneration hypothesis (NDH) (Seeley et al., 2009) by identifying structural and functional covariance in this hippocampal network. Methods: To generate our network model, we used BrainMap's VBM database to perform a region-to-whole-brain (RtWB) meta-analysis of 269 VBM experiments from 165 published studies across a range of 38 psychiatric and neurological diseases reporting hippocampal gray matter density alterations. This step identified 11 significant gray matter foci, or nodes. We subsequently used meta-analytic connectivity modeling (MACM) to define edges of structural covariance between nodes from VBM data as well as functional covariance using the functional task-activation database, also from BrainMap. Finally, we applied a correlation analysis using Pearson's Key findings: Our hippocampal RtWB meta-analysis reported consistent and significant structural covariance in 11 key regions. The subsequent structural and functional MACMs showed a strong correlation between HNM nodes with a significant structural-functional covariance correlation of Significance: This novel method of studying network covariance using VBM and functional meta-analytic techniques allows for the identification of generalizable patterns of functional and structural abnormalities pertaining to the hippocampus. In accordance with the NDH, this framework could have major implications in studying and predicting spatial disease patterns using network-based assays.
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