Challenges in measuring individual differences of brain function

With a growing interest in personalized medicine, functional neuroimaging research has recently shifted focus from the evaluation of group-level summaries to associating individual differences in brain function with behaviors. However, this new focus brings forth challenges related to accurately measuring the sources of individual variation in functional signals. In this perspective, we highlight the impact of within-individual variations and discuss the concept of measurement reliability as a critical tool for accounting for within- and between-individual variations when measuring individual differences in brain function.

Authors

Institutions

Publication Details

Journal
Imaging Neuroscience
Published
2024-12-16
DOI
https://doi.org/10.1162/imag_a_00430
Citations
7
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
2.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Challenges in measuring individual differences of brain function

Xi‐Nian Zuo, Ting Xu, Michael Peter Milham, Gregory Kiar et al.
7 citations
Imaging Neuroscience
Functional Brain Connectivity Studies
2.40
article

Challenges in measuring individual differences of brain function

Xi‐Nian Zuo, Ting Xu, Michael Peter Milham, Gregory Kiar, Joshua T. Vogelstein
article en
7 citations

Abstract

With a growing interest in personalized medicine, functional neuroimaging research has recently shifted focus from the evaluation of group-level summaries to associating individual differences in brain function with behaviors. However, this new focus brings forth challenges related to accurately measuring the sources of individual variation in functional signals. In this perspective, we highlight the impact of within-individual variations and discuss the concept of measurement reliability as a critical tool for accounting for within- and between-individual variations when measuring individual differences in brain function.

Imaging NeuroscienceVol. 3
Nathan Kline Institute for Psychiatric Research (US), Johns Hopkins University (US), Beijing Normal University (CN), Child Mind Institute (US), Chinese Institute for Brain Research (CN)
Openalex Percentile: Top 11%
Functional Brain Connectivity Studies
2.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.