ArticleAperture neuro2021
BrainIAK: The Brain Imaging Analysis Kit.
Article in Aperture neuro, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 41 citations in OpenAlex.
- A machine learning approach towards the differentiation between interoceptive and exteroceptive attention.The European journal of neuroscience · 2023Trial
- Meta-awareness, mind-wandering, and the control of automatic external and internal orientations of attention.Communications biology · 2026Article
- Large-scale functional overlap between dorsal and ventral object-responsive networks.Research square · 2026Article
- Multisensory coding of audiovisual movies in the human hippocampus.bioRxiv : the preprint server for biology · 2026Article
- Spontaneous reinstatement of episodic memories in the developing human brain.bioRxiv : the preprint server for biology · 2025Article
- Awe is characterized as an ambivalent affect in the human behavior and cortex.Communications psychology · 2025Article
- Conceptual Knowledge Shapes the Neural Representations of Learned Faces in Non-Visual Regions of the Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Shared orbitofrontal dynamics to a drug-themed movie track craving and recovery in heroin addiction.Brain : a journal of neurology · 2025Article
- The Voxelwise Encoding Model framework: A tutorial introduction to fitting encoding models to fMRI data.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Early Neural Development of Social Interaction Perception: Evidence from Voxel-Wise Encoding in Young Children and Adults.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Neural Representations of Concreteness and Concrete Concepts Are Specific to the Individual.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Auditory areas are recruited for naturalistic visual meaning in early deaf people.Nature communications · 2024Article
- High-level cognition is supported by information-rich but compressible brain activity patterns.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Infant neuroscience: how to measure brain activity in the youngest minds.Trends in neurosciences · 2024Review
- Naturalistic drug cue reactivity in heroin use disorder: orbitofrontal synchronization as a marker of craving and recovery.medRxiv : the preprint server for health sciences · 2024Article
- Unconscious Manipulation of Conceptual Representations with Decoded Neurofeedback Impacts Search Behavior.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Incidental learning of predictive temporal context within cortical representations of visual shape.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Gradual change of cortical representations with growing visual expertise for synthetic shapes.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- An In-depth Exploration of the Interplay between fMRI Methods and Theory in Cognitive Neuroscience.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2024Article
- Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity.NeuroImage · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
38 authors at 10 institutions in 4 countries.
Funding
Abstract
Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the neural basis of cognition. Here, we describe the Brain Imaging Analysis Kit (BrainIAK), an open-source, free Python package that provides computationally optimized solutions to key problems in advanced fMRI analysis. A variety of techniques are presently included in BrainIAK: intersubject correlation (ISC) and intersubject functional connectivity (ISFC), functional alignment via the shared response model (SRM), full correlation matrix analysis (FCMA), a Bayesian version of representational similarity analysis (BRSA), event segmentation using hidden Markov models, topographic factor analysis (TFA), inverted encoding models (IEMs), an fMRI data simulator that uses noise characteristics from real data (fmrisim), and some emerging methods. These techniques have been optimized to leverage the efficiencies of high-performance compute (HPC) clusters, and the same code can be se amlessly transferred from a laptop to a cluster. For each of the aforementioned techniques, we describe the data analysis problem that the technique is meant to solve and how it solves that problem; we also include an example Jupyter notebook for each technique and an annotated bibliography of papers that have used and/or described that technique. In addition to the sections describing various analysis techniques in BrainIAK, we have included sections describing the future applications of BrainIAK to real-time fMRI, tutorials that we have developed and shared online to facilitate learning the techniques in BrainIAK, computational innovations in BrainIAK, and how to contribute to BrainIAK. We hope that this manuscript helps readers to understand how BrainIAK might be useful in their research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.