[HTML][HTML] Current status and issues regarding pre-processing of fNIRS neuroimaging data: an investigation of diverse signal filtering methods within a general linear …

P Pinti, F Scholkmann, A Hamilton… - Frontiers in human …, 2019 - frontiersin.org
Functional near-infrared spectroscopy (fNIRS) research articles show a large heterogeneity
in the analysis approaches and pre-processing procedures. Additionally, there is often a …

[HTML][HTML] Don't fear 'fear conditioning': Methodological considerations for the design and analysis of studies on human fear acquisition, extinction, and return of fear

TB Lonsdorf, MM Menz, M Andreatta… - Neuroscience & …, 2017 - Elsevier
The so-called 'replicability crisis' has sparked methodological discussions in many areas of
science in general, and in psychology in particular. This has led to recent endeavours to …

[HTML][HTML] Best practices for fNIRS publications

MA Yücel, A Lühmann, F Scholkmann… - …, 2021 - spiedigitallibrary.org
The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has
been expanding over the last 40 years. Today, it is addressing a wide range of applications …

A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology

F Scholkmann, S Kleiser, AJ Metz, R Zimmermann… - Neuroimage, 2014 - Elsevier
This year marks the 20th anniversary of functional near-infrared spectroscopy and imaging
(fNIRS/fNIRI). As the vast majority of commercial instruments developed until now are based …

[HTML][HTML] Representational similarity analysis-connecting the branches of systems neuroscience

N Kriegeskorte, M Mur, PA Bandettini - Frontiers in systems …, 2008 - frontiersin.org
A fundamental challenge for systems neuroscience is to quantitatively relate its three major
branches of research: brain-activity measurement, behavioral measurement, and …

Circular analysis in systems neuroscience: the dangers of double dipping

N Kriegeskorte, WK Simmons, PSF Bellgowan… - Nature …, 2009 - nature.com
A neuroscientific experiment typically generates a large amount of data, of which only a
small fraction is analyzed in detail and presented in a publication. However, selection …

Nonparametric permutation tests for functional neuroimaging: a primer with examples

TE Nichols, AP Holmes - Human brain mapping, 2002 - Wiley Online Library
Requiring only minimal assumptions for validity, nonparametric permutation testing provides
a flexible and intuitive methodology for the statistical analysis of data from functional …

A component based noise correction method (CompCor) for BOLD and perfusion based fMRI

Y Behzadi, K Restom, J Liau, TT Liu - Neuroimage, 2007 - Elsevier
A component based method (CompCor) for the reduction of noise in both blood oxygenation
level-dependent (BOLD) and perfusion-based functional magnetic resonance imaging …

[图书][B] Statistical parametric mapping: the analysis of functional brain images

WD Penny, KJ Friston, JT Ashburner, SJ Kiebel… - 2011 - books.google.com
In an age where the amount of data collected from brain imaging is increasing constantly, it
is of critical importance to analyse those data within an accepted framework to ensure …

Statistical analysis of fNIRS data: a comprehensive review

S Tak, JC Ye - Neuroimage, 2014 - Elsevier
Functional near-infrared spectroscopy (fNIRS) is a non-invasive method to measure brain
activities using the changes of optical absorption in the brain through the intact skull. fNIRS …