Randy L. Buckner

The paper investigates network competition in the brain using electrophysiology and neuroimaging, finding temporally layered antagonism between default and task-related networks, with distinct patterns in the hippocampus.

The paper identifies two adjacent prefrontal cortex regions with opposing functions linked to distinct large-scale networks using functional MRI in three cohorts.

The paper identifies two nested language networks in the human brain using functional mapping across multiple cohorts, showing distinct roles in phonology and syntax.

The paper uses fMRI data to estimate hierarchical networks in the human cerebral cortex, revealing a global organization with distinct functional properties across different network orders.

The paper investigates hemispheric laterality effects in verbal and nonverbal processing, finding that right hemisphere components of language networks respond more strongly to nonverbal materials, with similar patterns across multiple networks.

This study shows that aperiodic exponents from intracranial EEG can differentiate depression symptom severity and correlate with specific brain regions and networks.

This study identifies structural brain differences associated with cognitive performance in middle and late adulthood using data from the Human Connectome Project.

The paper identifies functionally distinct adjacent regions in the dorsolateral prefrontal cortex (DLPFC) specialized for social and cognitive control tasks using individualized neuroimaging.

This study contrasts brain network responses during old-new recognition and non-mnemonic detection tasks, showing that SAL/PMN responds to task relevance rather than mnemonic familiarity.

This paper shows that brain networks can be precisely mapped within individuals using only task data, producing results similar to resting-state data.

The paper identifies cortical regions linked to the ventral striatum (VS) using functional connectivity MRI, showing its preferential correlation with the Salience network including dorsolateral prefrontal cortex.

The paper investigates functional specialization along the human hippocampal long axis using fMRI and behavioral data, finding distinct roles for anterior and posterior regions in memory and salience processing.

The paper identifies age- and sex-related differences in sleep patterns using UK Biobank data and links sleep duration to self-reported depression and anhedonia.

The paper maps the human cerebellum using functional MRI to show functionally specialized regions within a megacluster, dissociating cognitive control from domain-specific processing.

This paper presents a hierarchical functional atlas of the human cerebellum integrating multiple datasets, improving individual precision mapping and enabling analysis at different levels of granularity.

The paper evaluates factors affecting brain-age prediction models using structural neuroimaging data from 35,683 individuals, finding optimal model performance with no site harmonization, age-binning, and a sample size of over 1,600.

The paper identifies genetically distinct patient subgroups across diseases by analyzing polygenic risk and pathway convergence.

The paper identifies distinct functional zones within the caudate nucleus that correspond to different cerebral association networks, revealing specialized circuits within the basal ganglia.

The paper uses brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia and identifies enriched networks and genes associated with the disease.

The paper benchmarks and optimizes a normative modeling framework for brain morphometry across the lifespan using MFPR, showing excellent accuracy and stability.

The paper identifies two specialized networks, DN-A and DN-B, that support spatial and social processing respectively, using trial-to-trial variation in functional MRI data.

The paper provides direct evidence for a third somatomotor map in the human cerebellar vermis using fMRI scans of body movements.

A genome-wide association study of 69,369 schizophrenia cases and 236,642 controls identifies 270 risk loci, prioritizes 130 genes, and links common and rare risk variants to neuronal synaptic biology.

This study identifies sex-dependent genetic risk loci shared and specific to mood and psychotic disorders using genome-wide interaction analysis.

The paper uses high-resolution myelin mapping to show graded variation in cortical myelination rates along the sensorimotor-association axis during adolescence.

DPSleep infers sleep metrics from accelerometer data and links them to other variables, showing actigraphy-based sleep duration correlates with self-reported quality.

The paper compares ten polygenic score methods for psychiatric disorders across multiple cohorts, finding that some methods significantly improve prediction statistics over the baseline PC+T method.

The paper analyzes cortical thickness trajectories in 17,075 individuals to show peak thickness in childhood, steep decline in early adulthood, and slower decline later, with notable exceptions and significant inter-individual variability.

The paper uses functional connectivity MRI to map the detailed organization of the human cerebellum in two individuals, revealing multiple networks and hierarchical structures.

The paper identifies and situates a language network within broader association networks, showing it is one of multiple specialized distributed networks in human association cortex.