Human behavior comprises many aspects that stand out by their dynamic nature. To quantify
its neural underpinnings, time-resolved fMRI methods have blossomed over the past …

Abstract Sustainable Development Goals (SDG) are at the forefront of government initiatives
across the world. The SDGs are primarily concerned with promoting sustainable growth via …

Despite the known benefits of data‐driven approaches, the lack of approaches for identifying
functional neuroimaging patterns that capture both individual variations and inter‐subject …

Background Gamma (γ) brain oscillations are dysregulated in Alzheimer's disease (AD) and
can be modulated using transcranial alternating stimulation (tACS). In the present paper, we …

We introduce an extension of independent component analysis (ICA), called multiscale ICA,
and design an approach to capture dynamic functional source interactions within and …

Resting‐state functional network connectivity (rsFNC) has shown utility for identifying
characteristic functional brain patterns in individuals with psychiatric and mood disorders …

Psychosis (including symptoms of delusions, hallucinations, and disorganized
conduct/speech) is a main feature of schizophrenia and is frequently present in other major …

Background This study assesses the relationships between dynamic functional network
connectivity (DFNC) and dementia risk. Methods DFNC of the default mode (DMN), salience …

Our study aimed to verify the possibilities of effectively applying chronnectomics methods to
reconstruct the dynamic processes of network transition between three types of brain states …

The interaction between brain regions changes over time, which can be characterized using
time-varying functional connectivity (tvFC). The common approach to estimate tvFC uses …