A Hitchhiker's guide to functional magnetic resonance imaging

JM Soares, R Magalhães, PS Moreira… - Frontiers in …, 2016 - frontiersin.org
Functional Magnetic Resonance Imaging (fMRI) studies have become increasingly popular
both with clinicians and researchers as they are capable of providing unique insights into …

Functional connectivity mapping in the animal model: principles and applications of resting-state fMRI

M Gorges, F Roselli, HP Müller, AC Ludolph… - Frontiers in …, 2017 - frontiersin.org
“Resting-state” fMRI has substantially contributed to the understanding of human and non-
human functional brain organization by the analysis of correlated patterns in spontaneous …

Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists

HT Wang, J Smallwood, J Mourao-Miranda, CH Xia… - NeuroImage, 2020 - Elsevier
The 21st century marks the emergence of “big data” with a rapid increase in the availability
of datasets with multiple measurements. In neuroscience, brain-imaging datasets are more …

Ordinary kriging for function-valued spatial data

R Giraldo, P Delicado, J Mateu - Environmental and ecological statistics, 2011 - Springer
In various scientific fields properties are represented by functions varying over space. In this
paper, we present a methodology to make spatial predictions at non-data locations when the …

To rise and to fall: functional connectivity in cognitively normal and cognitively impaired patients with Parkinson's disease

M Gorges, HP Mueller, D Lulé, EH Pinkhardt… - Neurobiology of …, 2015 - Elsevier
Cognitive decline is a burdensome extra-motor symptom associated with Parkinson's
disease (PD). This study aimed at investigating intrinsic functional connectivity (iFC) of the …

[HTML][HTML] Does parametric fMRI analysis with SPM yield valid results?—An empirical study of 1484 rest datasets

A Eklund, M Andersson, C Josephson… - …, 2012 - proceedings.neurips.cc
Q1: Comments to author (s). First provide a summary of the paper, and then address the
following criteria: Quality, clarity, originality and significance.(For detailed reviewing …

A universal kriging approach for spatial functional data

W Caballero, R Giraldo, J Mateu - Stochastic environmental research and …, 2013 - Springer
In a wide range of scientific fields the outputs coming from certain measurements often come
in form of curves. In this paper we give a solution to the problem of spatial prediction of non …

Affect dynamics of facial EMG during continuous emotional experiences

Y Golland, A Hakim, T Aloni, S Schaefer… - Biological …, 2018 - Elsevier
Emotional experiences are complex, multi-component processes that unfold over time.
Accordingly, it is crucial to understand the temporal dynamics of these constituent …

The neurocognitive basis of morphological processing in typical and impaired readers

RA Marks, RL Eggleston, X Sun, CL Yu, K Zhang… - Annals of …, 2022 - Springer
Morphological awareness, or sensitivity to units of meaning, is an essential component of
reading comprehension development. Current neurobiological models of reading and …

[HTML][HTML] Kernel regression for fMRI pattern prediction

C Chu, Y Ni, G Tan, CJ Saunders, J Ashburner - NeuroImage, 2011 - Elsevier
This paper introduces two kernel-based regression schemes to decode or predict brain
states from functional brain scans as part of the Pittsburgh Brain Activity Interpretation …