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Updated: Feb 15, 2026
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Acute Mouse Brain Slicing to Investigate Spontaneous Hippocampal Network Activity
Published on: August 28, 2020
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The hippocampal network model: A transdiagnostic metaconnectomic approach
Eithan Kotkowski1, Larry R Price2, P Mickle Fox1
1Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Neuroimage. Clinical
|February 2, 2018
Summary
Researchers identified a hippocampal network model using MRI data. This model reveals consistent structural and functional connections, aiding in understanding neurodegenerative diseases.
Area of Science:
- Neuroscience
- Neuroimaging
- Systems Neuroscience
Background:
- The hippocampus is crucial for cognition and emotion, and frequently affected in neurodegenerative diseases.
- Understanding hippocampal network alterations is key to studying these conditions.
Purpose of the Study:
- To develop a hippocampal network model (HNM) using trans-diagnostic MRI data.
- To test the network degeneration hypothesis (NDH) by examining structural and functional covariance within the hippocampal network.
Main Methods:
- Utilized BrainMap® database for a region-to-whole-brain (RtWB) meta-analysis of 269 VBM experiments.
- Identified 11 significant gray matter foci (nodes) related to hippocampal alterations.
- Employed meta-analytic connectivity modeling (MACM) for structural and functional covariance analysis.
Main Results:
- The RtWB meta-analysis revealed 11 key regions with significant structural covariance.
- Structural and functional MACMs demonstrated a strong correlation between HNM nodes.
- A significant structural-functional covariance correlation (r=0.377, p=0.000049) was observed.
Conclusions:
- This novel meta-analytic approach effectively identifies generalizable patterns of hippocampal abnormalities.
- The developed HNM framework supports the NDH and has implications for predicting disease patterns.
- Network-based assays of hippocampal structure and function can advance neurodegenerative disease research.
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