Linden Parkes

Task-evoked flexibility of intrinsic neural timescales is hierarchically organized, behaviorally relevant, and refined across two developmental stages

The paper shows that neural timescale flexibility adapts to task demands, is hierarchically organized, and develops through two stages in youth.

Hemispheric Complementarity is Associated with Distinct Functional and Structural Brain Profiles

The paper identifies attentional lateralization phenotypes and multidomain brain organization profiles linked to heritable structural and functional connectivity patterns.

Intrinsic timescale develops hierarchically from sensorimotor to association cortex in youth and stabilizes in adulthood

Resting-state fMRI intrinsic timescale lengthens with age in association, not sensorimotor, cortex during ages 8-22, following the sensorimotor-association axis in two cohorts; it is largely age-stable in young adults.

Spurious model comparisons are widespread in biomedical artificial intelligence

97% of 184 high-impact biomedical AI studies compare cross-validated models with tests assuming fold independence; in 69% of re-analyzable studies a significant comparison does not survive correction.

Geometric constraints and cognitive inputs jointly shape emergent brain dynamics and topology

This study shows that bioRNNs, which incorporate brain geometry, better predict fMRI activity and replicate brain hierarchy than other RNNs.

Hierarchical Community Structure of the Adult Drosophila Connectome Reveals Conserved Circuit Archetypes

The paper analyzes the Drosophila connectome to reveal hierarchical community structures and identifies functional circuit archetypes.

Controlling the human connectome with spatially diffuse input signals

This paper adapts network control theory to model spatially diffuse input signals in the human brain, showing reduced energy for state transitions and matching existing neurobiological maps.

Aberrant E-I Balance and Brain Criticality in Major Depressive Disorder

This study identifies disruptions in brain criticality and excitation-inhibition balance in Major Depressive Disorder using resting-state EEG data.

Inferring macroscopic intrinsic neural timescales using optimal control theory

The paper develops a framework using optimal control theory to estimate brain structure-function interactions from MRI data, showing correlations between self-inhibition parameters and neural timescales across species.

Multiscale heterogeneity of white matter morphometry in psychiatric disorders

The paper examines white matter volume deviations in psychiatric disorders using normative modeling, finding heterogeneous patterns with some aggregation in autism and schizophrenia.

Extracting interpretable signatures of whole-brain dynamics through systematic comparison

This paper systematically compares interpretable features of fMRI dynamics to identify effective signatures for neuropsychiatric disorder classification.

Altered structural connectivity and functional brain dynamics in individuals with heavy alcohol use

This study examines brain dynamics and structural connectivity in individuals with heavy alcohol use using multimodal imaging and finds reduced brain complexity and increased control energy.

Using network control theory to study the dynamics of the structural connectome

This paper introduces a framework for applying network control theory to the human structural connectome to study neural dynamics and control energy, controllability, and their correlations with behavior and mental health.

Alprazolam modulates persistence energy during emotion processing in first-degree relatives of individuals with schizophrenia: a network control study

This study uses network control theory to examine how alprazolam affects persistence energy during emotion processing in schizophrenia relatives, revealing compensatory mechanisms and neuromodulatory relationships.

Asymmetric Signaling Across the Hierarchy of Cytoarchitecture within the Human Connectome

The paper uses network control theory to show that bottom-up signaling across the sensory-fugal axis of the human connectome requires less energy than top-down signaling.

Dissociable Multi-scale Patterns of Development in Personalized Brain Networks

The paper analyzes multi-scale functional brain networks in youths to identify developmental patterns of network re-organization and their cognitive implications.

On the intersection between data quality and dynamical modelling of large-scale fMRI signals

This paper shows that fMRI preprocessing choices significantly affect dynamical models of brain activity, highlighting the importance of data quality in model accuracy.

Network controllability mediates the relationship between rigid structure and flexible dynamics

The paper investigates how structural brain networks influence functional dynamics through network controllability, finding that boundary controllability mediates the relationship between structural participation and functional flexibility.

Pathological and metabolic underpinnings of energetic inefficiency in temporal lobe epilepsy

This study uses network control theory to analyze energy dynamics in temporal lobe epilepsy, finding increased control energy requirements and metabolic asymmetry in affected brain regions.

Association between Neighborhood Socioeconomic Status and Executive System Activation in Youth

This study examines how neighborhood socioeconomic status affects executive system activation during a working memory task in youth and identifies mediating brain activity patterns.

Transdiagnostic dimensions of psychopathology explain individuals' unique deviations from normative neurodevelopment in brain structure

The paper models cortical brain deviations from normative neurodevelopment to predict psychiatric symptoms, finding that transdiagnostic psychopathology dimensions better predict symptoms than specific disorder measures.

Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem.

The paper introduces DiCER, an alternative to global signal regression for removing signal deflections in fMRI data, showing improved performance in reducing artifacts and improving functional connectivity analysis.

Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain

The paper shows that fMRI timescales correlate with structural connectivity strength in humans, mirroring findings in mice.

Transdiagnostic variations in impulsivity and compulsivity in obsessive-compulsive disorder and gambling disorder correlate with effective connectivity in cortical-striatal-thalamic-cortical circuits.

The paper examines how impulsivity and compulsivity dimensions in OCD and GD correlate with CSTC circuit connectivity, finding continuous distributions and shared connectivity patterns across disorders.

Constant Infusion Radiotracer Administration for High Temporal Resolution Positron Emission Tomography (PET) of the Human Brain: Application to -Fluorodexoyglucose PET (FDG-PET)

The paper compares continuous infusion and bolus plus infusion radiotracer protocols for PET to improve temporal resolution, achieving 16-second glucose response mapping in the human brain.

Fractionation of impulsive and compulsive trans-diagnostic phenotypes and their longitudinal associations

This study identifies a bi-factor model to fractionate impulsive and compulsive problem behaviors in young adults and finds distinct antecedents for each phenotype.

Functional Connectivity of Corticostriatal Circuitry and Psychosis-Like Experiences in the General Community

The paper examines the relationship between functional connectivity of corticostriatal circuits and subclinical psychosis-like experiences in a community sample.

An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI

This paper evaluates motion correction strategies for resting-state fMRI, finding that no single method is optimal and that preprocessing significantly affects results.

Transcriptional signatures of connectomic subregions of the human striatum

The paper identifies distinct transcriptional signatures in connectomically-defined subregions of the human striatum using diffusion MRI and transcriptomic data.