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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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Related Experiment Video

Updated: Jul 16, 2026

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

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

Published on: November 10, 2015

Knowledge-based localization of hippocampus in human brain MRI.

Mohammad-Reza Siadat¹, Hamid Soltanian-Zadeh, Kost V Elisevich

¹Radiology Image Analysis Laboratory, Department of Diagnostic Radiology, Henry Ford Health System, One Ford Place, Detroit, MI 48202, USA. siadat@rad.hfh.edu

Computers in Biology and Medicine

|March 7, 2007

Summary

This study introduces an efficient method for locating human brain structures like the hippocampus using anatomical landmarks. The novel approach achieved an 83% success rate in localizing brain structures in MRI scans.

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Last Updated: Jul 16, 2026

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

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

Published on: November 10, 2015

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures

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Published on: July 2, 2014

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Published on: May 12, 2015

Area of Science:

Neuroimaging
Medical Image Analysis
Computational Anatomy

Background:

Accurate localization of brain structures is crucial for neuroimaging tasks such as segmentation and registration.
Existing methods may face challenges in efficiency and precision for complex anatomical structures.

Purpose of the Study:

To develop and validate a novel, efficient method for the precise localization of human brain structures, specifically the hippocampus.
To establish a statistical roadmap utilizing anatomical landmarks for automated structure identification.

Main Methods:

A statistical roadmap approach employing desired and undesired anatomical landmarks was developed.
Gaussian models were estimated from a training set to define optimal search areas for target landmarks.
A rule-based system using statistical models was implemented to evaluate landmarks during the search process.

Main Results:

The method demonstrated high efficiency and accuracy in localizing human brain structures.
An overall success rate of 83% was achieved when applied to 900 MR images from 10 epileptic patients.
The statistical models effectively guided the search and evaluation of anatomical landmarks.

Conclusions:

The proposed method offers a robust and efficient solution for landmark-based localization of brain structures.
This technique has significant potential for improving automated segmentation and registration in neuroimaging.
The statistical roadmap approach provides a reliable framework for analyzing brain anatomy in clinical settings.