Functional Brain Connectivity Studies

Contrastive functional connectivity defines neurophysiology-informed symptom dimensions in major depression

This paper identifies two neurophysiology-informed symptom dimensions in MDD using contrastive functional connectivity analysis of fMRI data.

Genetic and environmental contributions to ReHo and fALFF in early adolescence vary across brain regions

The paper examines genetic and environmental influences on local brain function measures (ReHo and fALFF) in adolescents, finding region-specific effects and temporal stability across two time points.

Comparing Brain-Behavior Relationships Across Dimensional, Tail-Sampled, and Propensity-Matched Models

The paper compares brain-behavior associations across different sampling models using ABCD Study data, finding increased effect sizes with tail-sampled groups but mixed results with propensity-matched models.

An information theory framework for capturing multi-connectivity via spatial network encoding reveals reduced population count (Hamming weight) localized to auditory, visual, and motor networks

The paper introduces a voxel-centric framework using information theory to analyze multi-way brain network interactions, revealing reduced Hamming weights in auditory, visual, and motor networks in schizophrenia.

Multiscale Entropy of Resting-State fMRI Signals Reveals Differences in Brain Complexity in Autism

This study uses multiscale entropy to analyze resting-state fMRI data and identifies differences in brain signal complexity between individuals with ASD and neurotypical controls.

Differential age effects on functional network development link to contextual memory disruption in APOE4 versus APOE3 homozygous mice

This study examines how APOE4 and APOE3 homozygosity affect functional brain networks and contextual memory in mice across age, showing differential network development and memory disruption in APOE4 adults.

Instantaneous Frequency: A New Functional Biomarker for Dynamic Brain Causal Networks

This paper introduces instantaneous frequency as a biomarker for dynamic brain networks, showing it can distinguish clinical and demographic groups in neurodegenerative conditions.

Brain State Convergence and Divergence as Resting State FMRI Biomarkers: A Large-Scale Study of Continuous, Overlapping, Time-resolved States Differentiates Four Psychiatric Disorders

This study introduces a method to identify dynamic brain states from resting-state fMRI data, revealing distinct convergence and divergence patterns in four psychiatric disorders.

Intersecting effects of social circumstances and transcendent thinking on mid-adolescents' longitudinal functional connectome development

This study examines how social factors and transcendent thinking affect functional connectome development in mid-adolescents over two years.

Anchoring functional connectivity to individual sulcal morphology yields insights in a pediatric study of reasoning

The paper investigates functional connectivity among sulci in lateral prefrontal and parietal cortex using individual sulcal morphology to link anatomy to cognition in children and adolescents.

Perivascular space mediated the interaction between sleep, and brain functional connectivity in the healthy aging population

This study examines the relationship between perivascular space characteristics, sleep, and brain functional connectivity in healthy aging individuals, finding correlations between PVS volume fraction and specific brain regions.

Evidence-based guidelines for improving network detectability in rodent fMRI

This study develops guidelines for improving rs-fMRI data quality in rodents by identifying optimal anesthetic protocols and physiological parameters.

Dynamic functional connectivity is modulated by the amount of p-Tau231 in blood in cognitively intact participants

The paper examines the relationship between dynamic functional connectivity measured by magnetoencephalography and plasma p-tau231 levels in cognitively intact participants, finding a positive association between frontotemporal connectivity and p-tau231.

The striatal compartments, striosome and matrix, are embedded in largely distinct resting state functional networks

This study identifies distinct resting state functional networks associated with striosome and matrix compartments in the human striatum using diffusion and functional MRI data.

Multimodal cortical connectome in the default mode network across the adult lifespan

The paper examines age-related changes in multimodal connectivity within the default mode network using MRI and MEG data from adults aged 18 to 88.

Change point based dynamic functional connectivity estimation outperforms sliding window and static estimation for classification of early mild cognitive impairment in resting-state fMRI

This study compares static, sliding window, and change point dynamic functional connectivity methods for classifying early mild cognitive impairment using resting-state fMRI, finding cpDFC outperforms others with 91.17% accuracy.

The brain's "dark energy" puzzle upgraded: FDG uptake, delivery and phosphorylation, and their coupling with resting-state brain activity

The paper predicts [18F]FDG PET parameters using rs-fMRI and 15O PET data, showing rs-fMRI and CMRO2 explain 45% of Ki variance.

Deviations from normative functioning underlying emotional episodic memory revealed cross-scale neurodiverse alterations linked to affective symptoms in distinct psychiatric disorders

The paper identifies cross-scale neural alterations linked to affective symptoms in psychiatric disorders by comparing normative brain function with clinical data and linking these to specific cell types.

fMRIPrep Lifespan: Extending A Robust Pipeline for Functional MRI Preprocessing to Developmental Neuroimaging

The paper extends fMRIPrep to handle MRI data from infancy to old age, demonstrating high-quality preprocessing across a wide age range.

Functional connectivity of thalamic nuclei during sensorimotor task-based fMRI at 9.4 Tesla

This study examines functional connectivity of thalamic nuclei during sensorimotor tasks using fMRI at 9.4 Tesla, finding that thalamic nuclei exhibit task-specific connectivity patterns rather than fixed roles.

Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures

This study uses fMRI to analyze cognitive task representations across 25 tasks, finding subject-specific and subject-invariant structures in cortical regions.

Lifespan trajectories, metabolic associations, and links to fluid intelligence of brain temporal dynamics characterized by Multiscale Entropy

This study uses multiscale entropy to analyze brain dynamics across aging, showing age-related changes in entropy and its links to metabolism and fluid intelligence.

Modulatory Effect of Levodopa on the Basal Ganglia-Cerebellum Connectivity in Parkinson's Disease

This study examines how levodopa affects brain connectivity in Parkinson's patients using resting-state functional connectivity analysis across cross-sectional and longitudinal datasets.

NeuroMark-HiFi: A Data-Driven Method for Detecting High-Spatial-Frequency Functional Brain Networks

NeuroMark-HiFi detects high-spatial-frequency functional brain networks, revealing additional group differences in schizophrenia and healthy controls.

Magnetoencephalography dimensionality reduction informed by dynamic brain states

This study uses PHATE to reduce the dimensionality of resting-state MEG data, revealing dynamic brain states and their transitions in a low-dimensional space.

The Generalizability of Cortical Area Parcellations Across Early Childhood

This study parcellates the cerebral cortex in toddlers using functional connectivity and shows high reproducibility across ages, with area boundaries more similar to adults than neonates.

Somatomotor disconnection links sleep duration with socioeconomic context, screen time, cognition, and psychopathology

The paper links shorter sleep duration in adolescents to somatomotor network disconnection, socioeconomic factors, screen time, cognition, and psychopathology using network neuroscience methods.

Direct comparison of EEG resting state and task functional connectivity patterns for predicting working memory performance using connectome-based predictive modeling

This study compares EEG resting state and task-based functional connectivity for predicting working memory performance using connectome-based predictive modeling, finding task data slightly better overall but resting state better under high load.

Network Neuroscience of Human Multitasking: Local Features Matter

This study investigates the neural basis of multitasking costs by analyzing functional connectivity in the brain, finding that local connectivity changes, not global network differences, are linked to modality-based crosstalk.

Automatic Individual Cortical Parcellation for the Human Connectome Project

This paper introduces an automated individual cortical parcellation method using a novel weakly supervised classifier, improving performance over previous models and identifying new atypical language-related brain areas.