Functional Brain Connectivity Studies

CD-PSIICOS improves functional connectivity estimation by reducing task-related power leakage artifacts in MEG data, outperforming the original PSIICOS method.

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

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.

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.

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.

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.

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.

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

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.

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

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.

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.

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

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.

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

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.

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

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.

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

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.

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

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.

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

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.

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.

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

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.

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.