Independent component analysis (ICA) is a promising analysis method that is being
increasingly applied to fMRI data. A principal advantage of this approach is its applicability to …

Spontaneous fluctuations are a hallmark of recordings of neural signals, emergent over time
scales spanning milliseconds and tens of minutes. However, investigations of intrinsic brain …

… Author links open overlay panel Vince D. Calhoun a b , Jingyu Liu a b , Tülay Adalı c … 2d
involves averaging the data prior to performing ICA. This approach is less computationally …

The brain must dynamically integrate, coordinate, and respond to internal and external stimuli
across multiple time scales. Non-invasive measurements of brain activity with fMRI have …

As the size of functional and structural MRI datasets expands, it becomes increasingly
important to establish a baseline from which diagnostic relevance may be determined, a …

Recent years have witnessed a rapid growth of interest in moving functional magnetic resonance
imaging (fMRI) beyond simple scan-length averages and into approaches that capture …

The profile of brain structural abnormalities in schizophrenia is still not fully understood,
despite decades of research using brain scans. To validate a prospective meta-analysis …

Objective: The “default mode” has been defined as a baseline condition of brain function
and is of interest because its component brain regions are believed to be abnormal in …

The development of magnetic resonance imaging (MRI) techniques has defined modern
neuroimaging. Since its inception, tens of thousands of studies using techniques such as …

Alzheimer's disease (AD) is a neurodegenerative disorder that prominently affects cerebral
connectivity. Assessing the functional connectivity at rest, recent functional MRI (fMRI) studies …