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Role of Hippocampus in Memory

Role of Hippocampus in Memory

The hippocampus, a critical brain structure, plays an essential role in memory processing, particularly in the formation and retrieval of memory. This small, seahorse-shaped region is located within the medial temporal lobe, with one hippocampus in each brain hemisphere. Experimental studies involving lesions in the hippocampi of rats have demonstrated significant impairments in tasks such as object recognition and maze navigation, indicating the hippocampus involvement in both recognition and...

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High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging

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Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data.

Yanrong Guo¹, Guorong Wu¹, Pew-Thian Yap¹

¹Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC, USA.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

|March 29, 2016

Summary

This study introduces a new method for segmenting the infant hippocampus using multimodal MRI scans. The approach improves accuracy in analyzing early brain development linked to conditions like ADHD.

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Last Updated: Mar 23, 2026

High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging

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Published on: November 10, 2015

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Area of Science:

Neuroimaging
Developmental Neuroscience
Medical Image Analysis

Background:

Aberrant early brain development, particularly in the hippocampus, is linked to later-life neuropsychiatric disorders such as ADHD.
Studying the infant hippocampus is challenging due to small size, variable image contrast, and inter-subject variability.

Purpose of the Study:

To develop an effective method for hippocampus segmentation in infants using longitudinal multimodal MRI data.
To address the challenges of analyzing heterogeneous infant brain imaging data.

Main Methods:

A multi-atlas approach integrating longitudinal T1 and T2 MR images.
Hierarchical multi-set kernel canonical correlation analysis (CCA) to learn common feature representations.
Learning within-time-point and across-time-point common features for improved segmentation via label propagation and fusion.

Main Results:

The proposed method demonstrates improved hippocampus segmentation performance compared to existing state-of-the-art techniques.
Effective integration of complementary multimodal and longitudinal information was achieved.

Conclusions:

The novel multi-atlas method offers enhanced hippocampus segmentation in infants.
This technique has potential implications for understanding early brain development and associated disorders.