Individual-specific features of brain systems identified with resting state functional correlations

Area of Science:

• Neuroscience
• Cognitive Neuroscience
• Brain Imaging

Background:

• Group-averaged functional magnetic resonance imaging (fMRI) data has advanced understanding of human cortical organization.
• Individual cortical systems exhibit complex topological features not apparent in group averages due to positional variability.
• Previous studies identified only isolated examples of individual-specific cortical features.

Purpose of the Study:

• To comprehensively identify and describe previously uncharacterized, individual-specific cortical system features.
• To determine the reliability and cross-individual consistency of these unique brain features.
• To explore the implications of individual-specific features for understanding brain connectivity.

Main Methods:

• Utilized fMRI data from three large cross-subject datasets and one intensive within-subject dataset.
• Identified cortical system features reliably detected within individuals across multiple sessions.
• Matched these individual features across different subjects and datasets.

Main Results:

• Discovered forty-three novel cortical system features not present in group-average data, replicated across independent datasets.
• Characterized the size and spatial distribution of these individual-specific features.
• Observed individual differences in the presence of specific system features, suggesting variations in cortical region membership.

Conclusions:

• This study provides a catalog of previously unobserved, individual-specific human brain system features.
• Individual-specific features enhance subject-to-subject similarity in brain data.
• Findings lay the groundwork for detailed investigations of brain connectivity at the individual level.