Precision neuroimaging and connectomics: individual human brain at ultra-high fields

Motivation: Traditional MRI methods often includes averaging data from brief scanning sessions, which limits specificity and reliability. Goal(s): Our goal is to improve understanding of brain structure-function relationships in the individual human brain. Approach: We used 7 Tesla MRI to scan 10 healthy participants over three sessions (4.5 h of scan time/subject). We derived measures of anatomy, microstructure and multi-state functional MRI, to capture brain network interactions and reconfigurations during rest, memory tasks and movie-watching. Results: We release the multimodal Precision Neuroimaging and Connectomics (PNI) dataset for open research. Impact: Our PNI dataset offers openly accessible, ultra-high resolution 7T MRI data across multiple sessions, enabling researchers to explore structure-function relationships in the brain with unprecedented detail and supporting reproducible neuroscience research.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/3346
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Precision neuroimaging and connectomics: individual human brain at ultra-high fields

Boris C. Bernhardt, Nicole Eichert, Oualid Benkarim, Sofie Louise Valk et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Functional Brain Connectivity Studies
article

Precision neuroimaging and connectomics: individual human brain at ultra-high fields

Boris C. Bernhardt, Nicole Eichert, Oualid Benkarim, Sofie Louise Valk, Casey Paquola, Raúl Rodríguez‐Cruces, Jessica Royer, Christine Tardif, Jordan DeKraker, Donna Gift Cabalo, Shahin Tavakol, Youngeun Hwang, Yezhou Wang, Valeria Kebets, David A. Rudko, Jonathan Smallwood, Ilana R. Leppert, Risa Thevakumaran
article en

Abstract

Motivation: Traditional MRI methods often includes averaging data from brief scanning sessions, which limits specificity and reliability. Goal(s): Our goal is to improve understanding of brain structure-function relationships in the individual human brain. Approach: We used 7 Tesla MRI to scan 10 healthy participants over three sessions (4.5 h of scan time/subject). We derived measures of anatomy, microstructure and multi-state functional MRI, to capture brain network interactions and reconfigurations during rest, memory tasks and movie-watching. Results: We release the multimodal Precision Neuroimaging and Connectomics (PNI) dataset for open research. Impact: Our PNI dataset offers openly accessible, ultra-high resolution 7T MRI data across multiple sessions, enabling researchers to explore structure-function relationships in the brain with unprecedented detail and supporting reproducible neuroscience research.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 75%
Functional Brain Connectivity Studies
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