Bharat B. Biswal

The paper examines how autism and ADHD comorbidity affects resting-state pupillary and oculomotor traits using dimensional and categorical frameworks in a large pediatric cohort.

The paper identifies transdiagnostic eye-tracking biomarkers of ASD and ADHD during naturalistic viewing, revealing domain-general vulnerabilities and context-specific interactions between the disorders.

This study uses naturalistic fMRI to explore social brain differences in ASD, finding unique amygdala signatures and shared prefrontal deficits linked to symptom severity.

This study evaluates a pre-trained model's ability to predict eye gaze from fMRI data during movie watching, finding limited individual accuracy but reliable group-level results for brain activity related to eye movements.

This study shows that using a flexible temporal model instead of the standard HRF improves the alignment of brain activity with naturalistic stimuli features.

This study examines disrupted dynamic structure-function connectivity coupling in euthymic bipolar disorder patients compared to healthy controls, identifying regional and network-level abnormalities.

This paper examines limitations in interpreting resting-state fMRI correlations, distinguishing measurement distortion from causal non-identifiability and their implications for biological interpretation.

The paper develops a multimodal white matter atlas using 7-Tesla MRI to improve functional understanding of brain white matter, showing high consistency and reliability.

This study compares intra- and inter-individual brain connectivity patterns using longitudinal neuroimaging data, finding that intra-individual correlations better reflect resting-state functional connectivity and are influenced by aging and state-like variability.

The paper examines how different tasks affect inter-individual functional brain connectivity estimates using regional homogeneity from fMRI data across seven tasks and a resting state.

This study examines how intelligence and cognitive flexibility influence working memory through brain connectomic gradients and task performance in healthy adults.

The paper introduces a standardized nomenclature for PET-based molecular connectivity and covariance to improve reproducibility and interpretation across imaging modalities and radiotracers.

This study uses fNIRS to examine brain activation during an N-back task in individuals with spinal cord injury compared to able-bodied controls, finding hemodynamic differences despite similar task performance.

This study maps serotonergic dynamics using drug-modulated molecular connectivity to show changes in serotonin transporter occupancy and functional brain network after MDMA exposure.

This study examines the relationship between cerebrovascular reactivity and age/sex effects in brain activity, finding limited impact of correcting for reactivity on these effects.

This study shows that cerebrovascular reactivity increases with age across multiple brain networks using longitudinal fMRI data from children.

This study uses a pre-trained CNN to link video content to brain activations during movie watching, finding associations between CNN layers and specific brain regions.

This paper introduces a biophysical, connectivity-based generative model for rs-fMRI that integrates spectral and structural information to quantify structure-function relationships.

This paper estimates individual coactivation patterns from resting-state fMRI data to improve subject identification, finding that longer scan durations enhance reliability.

The paper examines time-varying and stationary brain connectivity during movie watching across childhood to early adulthood, finding age and sex effects are stronger in time-varying connectivity, while stationary connectivity predicts intelligence.

The paper examines the relationship between ALFF and learning through feedback in individuals with multiple sclerosis, finding differences in brain activation patterns compared to healthy participants.

The paper examines dynamic and stationary brain connectivity during movie watching using fMRI, finding that dynamic connectivity varies with movie content while stationary connectivity remains consistent across clips.

The paper uses PCA to identify multiple consistent brain responses to naturalistic stimuli in children and adults, revealing age-related differences in response timing.

This study shows that weather effects on brain functions cannot be reliably detected using fMRI, as prediction accuracies are due to MRI scanner baseline signals rather than actual brain responses.

This study maps structural and functional connectivity of the insular cortex using DTI and RSFC data, revealing associations with brain networks and subregion-specific profiles.

This study examines frequency-specific coactivation patterns in resting-state fMRI and finds altered patterns in schizophrenia, improving classification accuracy when combining slow-4 and slow-5 bands.

This study identifies common and distinct brain networks for core and social disgust using meta-analyses, showing shared and specialized regions.

This study assesses brain functional connectivity and work-related fatigue in PCR-negative COVID-19 survivors compared to healthy controls using resting-state fMRI.

The paper examines the relationship between dopamine D2 receptor and serotonin transporter availabilities in rats and their correlation with resting-state functional connectivity networks.

This study evaluates the reproducibility and generalizability of coactivation patterns (CAPs) in brain networks across multiple cohorts and finds altered dynamic states in schizophrenia.