Statistical limitations in functional neuroimaging II. Signal detection and statistical inference

KM Petersson, TE Nichols… - … transactions of the …, 1999 - royalsocietypublishing.org
The field of functional neuroimaging (FNI) methodology has developed into a mature but
evolving area of knowledge and its applications have been extensive. A general problem in …

DPARSF: a MATLAB toolbox for" pipeline" data analysis of resting-state fMRI

C Yan, Y Zang - Frontiers in systems neuroscience, 2010 - frontiersin.org
Resting-state functional magnetic resonance imaging (fMRI) has attracted more and more
attention because of its effectiveness, simplicity and non-invasiveness in exploration of the …

Reproducibility of R‐fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes

X Chen, B Lu, CG Yan - Human brain mapping, 2018 - Wiley Online Library
Concerns regarding reproducibility of resting‐state functional magnetic resonance imaging
(R‐fMRI) findings have been raised. Little is known about how to operationally define R …

Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm

V Alluri, P Toiviainen, IP Jääskeläinen, E Glerean… - Neuroimage, 2012 - Elsevier
We investigated the neural underpinnings of timbral, tonal, and rhythmic features of a
naturalistic musical stimulus. Participants were scanned with functional Magnetic …

Identifying and mapping connectivity patterns of brain network hubs in Alzheimer's disease

Z Dai, C Yan, K Li, Z Wang, J Wang, M Cao… - Cerebral …, 2015 - academic.oup.com
Alzheimer's disease (AD) is associated not only with regional gray matter damages, but also
with abnormalities in functional integration between brain regions. Here, we employed …

Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: a resting-state fMRI study

Y Han, J Wang, Z Zhao, B Min, J Lu, K Li, Y He, J Jia - Neuroimage, 2011 - Elsevier
Here we utilized resting-state functional magnetic resonance imaging (R-fMRI) to measure
the amplitude of low-frequency fluctuations (ALFF) and fractional ALFF (fALFF) in 24 patients …

Nonstationary cluster-size inference with random field and permutation methods

S Hayasaka, KL Phan, I Liberzon, KJ Worsley… - Neuroimage, 2004 - Elsevier
Because of their increased sensitivity to spatially extended signals, cluster-size tests are
widely used to detect changes and activations in brain images. However, when images are …

Validating cluster size inference: random field and permutation methods

S Hayasaka, TE Nichols - Neuroimage, 2003 - Elsevier
Cluster size tests used in analyses of brain images can have more sensitivity compared to
intensity based tests. The random field (RF) theory has been widely used in implementation …

Altered resting-state functional connectivity patterns of anterior cingulate cortex in adolescents with attention deficit hyperactivity disorder

L Tian, T Jiang, Y Wang, Y Zang, Y He, M Liang… - Neuroscience …, 2006 - Elsevier
Dorsal anterior cingulate cortex (dACC) has been found to function abnormally in attention
deficit hyperactivity disorder (ADHD) patients in several former functional MRI (fMRI) studies …

Cognitive functions correlate with white matter architecture in a normal pediatric population: a diffusion tensor MRI study

VJ Schmithorst, M Wilke, BJ Dardzinski… - Human brain …, 2005 - Wiley Online Library
A possible relationship between cognitive abilities and white matter structure as assessed
by magnetic resonance diffusion tensor imaging (DTI) was investigated in the pediatric …