Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Dense Phenotyping of Human Brain Network Organization Using Precision fMRI.

Annual review of psychology - 1 Jan 2026

Gratton Caterina, Braga Rodrigo M

Abstract excerpt

The advent of noninvasive imaging methods like functional magnetic resonance imaging (fMRI) transformed cognitive neuroscience, providing insights into large-scale brain networks and their link to cognition. In the decades since, the majority of fMRI studies have employed a group-level approach, which has characterized the average brain-a construct that emphasizes features aligned across individuals but obscures...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Brain
Share to Brain Mapping
Share to Magnetic Resonance Imaging

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Nerve Net

Share to Phenotype

Source

Open in PubMed Open full text

Identifiers

PMID: 41061168
DOI: 10.1146/annurev-psych-032825-032920
PMCID: PMC12680283

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Dense Phenotyping of Human Brain Network Organization Using Precision fMRI.PMID 41061168Read ↗

Precision fMRI reveals densely interdigitated network patches with conserved motifs in the lateral prefrontal cortexSemantic proximity Read ↗

The Individualized Neural Tuning Model: Precise and generalizable cartography of functional architecture in individual brainsSemantic proximity Read ↗

Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality and EmotionSemantic proximity Read ↗

A Precision Functional Atlas of Network Probabilities and Individual-Specific Network TopographySemantic proximity Read ↗

A Guide for Quantifying and Optimizing Measurement Reliability for the Study of Individual DifferencesSemantic proximity Read ↗

The biological role of local and global fMRI BOLD signal variability in human brain organizationSemantic proximity Read ↗

Transcriptomic and macroscopic architectures of intersubject functional variability in human brain white-matterSemantic proximity Read ↗

Individual variability in functional connectivity architecture of the mouse brainSemantic proximity Read ↗

Heritability of individualized cortical network topographySemantic proximity Read ↗

Constructing structural and functional brain networks from regional brain profilesSemantic proximity Read ↗

Infraslow dynamic patterns in human cortical networks track a spectrum of external to internal attentionSemantic proximity Read ↗

Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to ReliabilitySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.