Martin P. Paulus

Dose-Dependent Effects of Low-Intensity Focused Ultrasound on Human Deep White Matter Tracts

This study examines dose-dependent functional connectivity changes in healthy adults after low-intensity focused ultrasound (LIFU) targeting deep white matter tracts.

Closing the loop between brain and electrical stimulation: A proof-of-concept randomized trial of real-time fMRI-guided tACS optimization

This study demonstrates that real-time fMRI-guided tACS can optimize brain stimulation to modulate frontoparietal connectivity and improve working memory accuracy.

Neuroticism Heterogeneity Through Item-Level Associations in Resting-State Functional Connectivity

The paper identifies neuroticism-related resting-state functional connectivity patterns using UK Biobank data, revealing genetically and psychometrically defined clusters.

Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression

This study links medication use to distinct gut microbial features in anxiety and depression, showing antidepressants have a larger effect on microbiota than diagnoses.

Aging increases the distinctiveness of emotional brain states across rumination, worry, and positive thinking

This study finds that aging increases the distinctiveness of rumination and worry brain states while reducing anxiety responses, potentially improving emotional well-being.

Whole-brain Mechanism of Neurofeedback Therapy: Predictive Modeling of Neurofeedback Outcomes on Repetitive Negative Thinking in Depression

This study uses predictive modeling to show that the interaction between brain regulation and feedback response predicts neurofeedback outcomes for repetitive negative thinking in depression.

The unique face of anxious depression: Increased sustained threat circuitry response during fear acquisition

The paper examines fear learning in individuals with major depressive disorder (MDD) and anxiety disorder plus MDD (AD+MDD), finding increased sustained threat circuitry response in AD+MDD during fear acquisition.

Neural indicators of human gut feelings

This study investigates neural responses to gastrointestinal sensations using a vibrating capsule, showing improved perceptual accuracy and correlated neural activity.

Trait repetitive negative thinking in depression is associated with functional connectivity in negative thinking state rather than resting state

The paper investigates whether resting-state functional connectivity (RSFC) or induced negative-thinking state functional connectivity (NTFC) better predicts repetitive negative thinking (RNT) traits in depression, finding that NTFC is more predictive.

A library for fMRI real-time processing systems in python (RTPSpy) with comprehensive online noise reduction, fast and accurate anatomical image processing, and online processing simulation

The propensity to sign-track is associated with externalizing behaviour and distinct patterns of reward-related brain activation in youth

The paper links sign-tracking behavior in youth to externalizing behaviors and specific reward-related brain activation patterns.

The pitfalls of using Gaussian Process Regression for normative modeling

This paper shows that Gaussian Process Regression uncertainty is not relevant for quantifying cohort heterogeneity in normative modeling.

Characterising the Photoplethysmography Pulse Waveform for Use in Human Neuroscience: The Hybrid Excess and Decay (HED) Model

The paper introduces the HED model to characterize PPG waveforms, showing it captures physiological changes with high precision in a pharmacological study.

Meaningful Effects in the Adolescent Brain Cognitive Development Study

The paper describes the design and aims of the ABCD Study, discussing challenges in estimating meaningful associations and recommending best practices for research using its data.

It is Never as Good the Second Time Around: Brain Areas Involved in Salience Processing Habituate During Repeated Drug Cue Exposure in Methamphetamine and Opioid Users

The paper investigates habituation of brain regions in response to drug cues in addiction patients, finding consistent habituation in VMPFC, amygdala, and ventral striatum across populations.

fMRI Informed Montage Selection for Transcranial Electrical Stimulation: Frontoparietal Synchronization for Drug Cue Reactivity

This paper develops a method to select electrode montages for transcranial electrical stimulation using fMRI and computational head models, showing improved connectivity and craving reduction in a specific montage.

Online Closed-Loop Real-Time tES-fMRI for Brain Modulation: Feasibility, Noise/Safety and Pilot Study

This paper describes a closed-loop tES-fMRI protocol for brain modulation, demonstrating feasibility, safety, and the ability to distinguish physiological changes from artifacts.

Electrophysiological investigation of reward anticipation and outcome evaluation during slot machine play

This study uses EEG to examine reward anticipation and outcome processing during slot machine play, finding distinct neural responses to winning, near misses, and total misses.

Predicting Sex from Resting-State fMRI Across Multiple Independent Acquired Datasets

This paper predicts sex from resting-state fMRI using machine learning across multiple datasets, achieving high accuracy with low-frequency BOLD signal features.

Canonical EEG Microstate Dynamic Properties and Their Associations with fMRI Signals at Resting Brain

This study examines the relationship between EEG microstate dynamics and fMRI signals, finding that activity regressors are mostly anticorrelated with fMRI in specific brain networks.

LIBR Methamphetamine and Opioid Cue Database (LIBR MOCD): Development and Validation

The paper develops and validates a database of pictorial cues for methamphetamine and opioids, showing drug images elicit higher arousal and lower valence than neutral images.

Consensus Features Nested Cross-Validation

The paper introduces cnCV, a feature selection method combining nested cross-validation with differential privacy's feature stability, showing it is efficient and effective for classification with fewer false positives.

Connectome-wide search for functional connectivity locus associated with pathological rumination as a target for real-time fMRI neurofeedback intervention

The paper identifies a functional connectivity locus associated with rumination symptoms and optimizes a neurofeedback signal for real-time fMRI intervention.

Reward processing electrophysiology in schizophrenia: Effects of age and illness phase

The paper examines reward processing in schizophrenia using ERPs, finding altered later reward outcome evaluation in early-stage patients and a link between brain age and depressive symptoms.

An Active Inference Approach to Dissecting Reasons for Non-Adherence to Antidepressants

This paper develops a computational model to understand factors influencing antidepressant non-adherence by simulating decision-making processes.

Image processing and analysis methods for the Adolescent Brain Cognitive Development Study

The paper describes neuroimaging processing methods for the ABCD Study to extract brain phenotypes from multimodal imaging data.

Dimensions of neighborhood tracts and their associations with mental health problems

This study uses factor analysis on ACS data to identify neighborhood dimensions associated with poor mental health, finding affluence and African-American proportion strongly linked to mental health issues.

A nonlinear simulation framework supports adjusting for age when analyzing BrainAGE.

The paper proposes adjusting for chronological age in BrainAGE analysis to improve the detection of variable effects on brain aging.

Cerebral blood flow predicts differential neurotransmitter activity

The paper investigates how cerebral blood flow changes in response to drugs targeting different neurotransmitter systems and finds a reliable spatial link between blood flow changes and receptor densities.