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Related Experiment Video

Updated: Jan 10, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Disentangling structure-function relationships between the human hippocampus and the whole brain using track-weighted

Marshall A Dalton^1,2, Jinglei Lv^2,3, Yifei Sun^2,3

¹School of Psychology, Faculty of Science, The University of Sydney, Sydney, New South Wales, Australia, 2050.

Biorxiv : the Preprint Server for Biology

|November 24, 2025

Summary

This study reveals how the hippocampus connects to the brain using advanced MRI. Track-weighted dynamic functional connectivity (TW-dFC) helps map these connections, improving our understanding of memory and cognition.

Keywords:

Diffusion-weighted Imaging Fibre-tracking Functional Connectivity Hippocampal subfields Hippocampus Structural Connectivity Track-weighted dynamic functional connectivity

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Last Updated: Jan 10, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

Published on: February 24, 2021

Area of Science:

Neuroimaging
Cognitive Neuroscience
Connectomics

Background:

Understanding hippocampal connectivity is key to cognitive function.
The hippocampus interacts with widespread brain regions.

Purpose of the Study:

To investigate the relationship between direct anatomical connections and time-varying functional interactions of the human hippocampus.
To develop an anatomically informed functional parcellation of the hippocampus.

Main Methods:

Combined high-resolution diffusion MRI and a novel fiber-tracking pipeline.
Utilized track-weighted dynamic functional connectivity (TW-dFC) analysis.
Employed Independent Component Analysis (ICA) and k-means clustering for hippocampal parcellation.

Main Results:

Identified distinct hippocampal clusters based on structure-function relationships, aligning with subfields.
Each cluster showed unique functional connectivity patterns with cortical, subcortical, and cerebellar regions.
TW-dFC enabled an anatomically informed functional parcellation of the hippocampus.

Conclusions:

TW-dFC is a powerful framework for functional parcellation of the hippocampus.
Provides new insights into hippocampal-(sub)cortical interactions.
Opens avenues for studying memory systems in health, aging, and disease.