Results 21 to 30 of about 329 (139)

NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

NeuroImage: Clinical, 2020
Many mental illnesses share overlapping or similar clinical symptoms, confounding the diagnosis. It is important to systematically characterize the degree to which unique and similar changing patterns are reflective of brain disorders. Increasing sharing
Jiayu Chen, Jing Sui, Vince D. Calhoun
exaly   +3 more sources

Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6,000) [PDF]

Frontiers in Aging Neuroscience, 2023
IntroductionNumerous studies have shown that aging has important effects on specific functional networks of the brain and leads to brain functional connectivity decline.
Yuhui Du, Yuhui Du, Yating Guo, Vince D. Calhoun   +3 more
doaj   +2 more sources

Dynamic Functional Connectivity, Major Depression, and Suicidal Ideation in Children. [PDF]

Hum Brain Mapp
There is an urgent need to advance understanding of the neural underpinnings of depression, especially early in the life span. Examination of neural dynamics using resting\u2010state functional magnetic resonance imaging (fMRI) data can provide indices ...
Wanger TJ, Fiecas MB, Başgöze Z, Roediger DJ, Island E, Wiglesworth A, Fu Z, Calhoun V, Mueller BA, Klimes-Dougan B, Luciana M, Cullen KR.   +11 more
europepmc   +3 more sources

Fully automated estimation of fMRI-guided SPECT brain networks and their functional network connectivity in schizophrenia patients versus controls: A NeuroMark ICA approach

Aperture Neuro
Single photon emission computerized tomography (SPECT) has emerged as a useful imaging modality that has been explored in the literature for the last 40 years.
Vince D. Calhoun, Amritha Harikumar
exaly   +2 more sources

A Dynamic Entropy Approach Reveals Reduced Functional Network Connectivity Trajectory Complexity in Schizophrenia

Entropy
Over the past decade and a half, dynamic functional imaging has revealed low-dimensional brain connectivity measures, identified potential common human spatial connectivity states, tracked the transition patterns of these states, and demonstrated ...
David Blair, Vince D. Calhoun, Robyn L Miller   +2 more
exaly   +3 more sources

Methodology and Neuromarkers for Cetaceans’ Brains [PDF]

Veterinary Sciences, 2022
Cetacean brain sampling may be an arduous task due to the difficulty of collecting and histologically preparing such rare and large specimens. Thus, one of the main challenges of working with cetaceans’ brains is to establish a valid methodology for an optimal manipulation and fixation of the brain tissue, which allows the samples to be viable for ...
Simona Sacchini, Pedro Herráez, Manuel Arbelo, Antonio Espinosa de los Monteros, Eva Sierra, Miguel Rivero, Cristiano Bombardi, Antonio Fernández   +7 more
openaire   +5 more sources

Fully automated estimation of fMRI guided SPECT brain networks and their functional network connectivity in schizophrenia patients vs controls: a NeuroMark ICA approach

Single photon emission computerized tomography (SPECT) scans have emerged as a useful imaging modality that has been explored in the literature for the last 40 years.
David Keator, Amritha Harikumar, Vince D Calhoun, Maria Misiura, Daniel Amen   +4 more
core   +8 more sources

A Replicable NeuroMark Template for Whole-Brain SPECT Reveals Data-Driven Perfusion Networks and Their Alterations in Schizophrenia. [PDF]

Neuroinformatics
Vince D. Calhoun, Amritha Harikumar, Bradley T Baker   +2 more
exaly   +2 more sources

Group Joint ICA (gjICA): A Method for Multimodal Fusion of Concurrent EEG and fMRI Data. [PDF]

Hum Brain Mapp
This study introduces group joint independent component analysis (gjICA), a multimodal EEG‐fMRI fusion framework that captures spatiotemporal information across modalities. Applied to resting state EEG‐fMRI data, gjICA reveals depression‐related alterations in the triple network and occipital domain, uncovering disrupted EEG‐fMRI coupling and distinct ...
Phadikar S, Fouladivanda M, Eierud C, Iraji A, Wu L, Paulus MP, Kuplicki R, Misaki M, Calhoun VD.   +8 more
europepmc   +2 more sources

Multi-study evaluation of neuroimaging-based prediction of medication class in mood disorders [PDF]

Psychiatry Research - Neuroimaging, 2023
Elizabeth Osuch, Jing Sui, Vince D. Calhoun   +2 more
exaly   +2 more sources