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Mission: The purpose of Aperture Neuro is to enable a diverse approach to sharing and communicating high quality, community-based, open neuroscience while bringing transparency and interactivity to the publishing process.
A Stage For Neuroscience and Art: The OHBM BrainArt SIG Perspective
By Borghesani et al.
Science and art have been intertwined for centuries, as both embody means for humans to represent, communicate and interpret our external and internal words. The collective effort to gather and organize knowledge about the brain blends well with a wide array of human creative activities, from visual and performing arts to interactive media...
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An Empirically Driven Guide on Using Bayes Factors for M/EEG Decoding
By Teichmann et al.
Bayes Factors can be used to provide quantifiable evidence for contrasting hypotheses and have thus become increasingly popular in cognitive science. However, Bayes Factors are rarely used to statistically assess the results of neuroimaging experiments. Here we provide an empirically driven guide on implementing...
Electroencephalography Robust Statistical Linear Modelling Using a Single Weight Per Trial
By Pernet et al.
Being able to remove or weigh down the influence of outlier data is desirable for any statistical model. While magnetic and electroencephalographic (MEEG) data are often averaged across trials per condition, it is becoming common practice to use information from all trials to build statistical linear models...
Prenatal and Childhood Adverse Events and Child Brain Morphology: A Population-Based Study
By Cortes Hidalgo et al.
Prenatal and childhood adverse events have been shown to be related to children's cognitive and pyschological development. However, the influence of early-life adversities on child brain morphology is not well understood, and most studies are based on small samples and often examine only one...
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Sources of Information Waste in Neuroimaging: Mishandling Structures, Thinking Dichotomously, and Over-Reducing Data
By Chen et al.
Functional magnetic resonance imaging (fMRI) is a mainstay technique of human neuroscience, which allows the study of the neural correlates of many functions, including perception, emotion, and cognition. The basic spatial unit of FMRI data is a voxel ranging from 1 to 3 mm on each side. As data are collected across time...
BrainIAK: The Brain Imaging Analysis Kit
By Kumar et al.
Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the neural basis of cognition. Here, we describe the Brain Imagining Analysis Kit (BrainIAK), an open-source, free Python package that provides computationally optimized solutions to key problems in advanced fMRI analysis...
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Body Mass Index Moderates Brain Dynamics and Executive Function: A Structural Equation Modeling Approach
By Kupis et al.
Obesity is associated with negative physical and mental health outcomes. Being overweight/obese is also associated with executive functioning impairments and structural changes in the brain. However, the impact of body mass index (BMI) on the relationship between brain dynamics and executive function (EF) is unknown...
Linking Vestibular Function and Subcortical Gray Matter Volume Changes in a Longitudinal Study of Aging Adults
By Padova et al.
Emerging evidence suggest a relationship between impairments of the vestibular (inner ear balance) system and alterations in the function and the structure of the central nervous system (CNS) in older adults. However, it is unclear whether age-related vestibular loss is associated with volume loss in brain regions known to receive vestibular input...
Evaluating the Reliability of Human Brain White Matter Tractometry
By Kruper et al.
The validity of research results depends on the reliability of analysis methods. In recent years, there have been concerns about the validity of research that uses diffusion-weighted MRI (dMRI) to understand human brain white matter connections in vivo, in part based on the reliability of analysis methods used in this field...
