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Causal inference in cognitive neuroscience

https://doi.org/10.1002/wcs.1650
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The creative brain: Investigation of brain activity during creative problem solving by means of EEG and FMRI
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Pattern classification using functional magnetic resonance imaging
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Methods and tools for causal discovery and causal inference
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A network theory of mental disorders
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Combining Spatial Extent and Peak Intensity to Test for Activations in Functional Imaging
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Causation, Prediction, and Search
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Testing for causality
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Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium
inferredcites →https://doi.org/10.1016/j.cell.2018.05.046openalex-snapshot
Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes
inferredcites →https://doi.org/10.1016/j.neuroimage.2004.05.020openalex-snapshot
Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a “face” area?
inferredcites →https://doi.org/10.1016/j.neuroimage.2004.11.017openalex-snapshot
Mapping directed influence over the brain using Granger causality and fMRI
inferredcites →https://doi.org/10.1016/j.neuroimage.2009.08.065openalex-snapshot
Six problems for causal inference from fMRI
inferredcites →https://doi.org/10.1016/j.neuroimage.2009.09.036openalex-snapshot
The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution
inferredcites →https://doi.org/10.1016/j.neuroimage.2010.07.065openalex-snapshot
On meta-analyses of imaging data and the mixture of records
inferredcites →https://doi.org/10.1016/j.neuroimage.2011.10.018openalex-snapshot
Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion
inferredcites →https://doi.org/10.1016/j.neuroimage.2012.09.049openalex-snapshot
Granger causality analysis of fMRI BOLD signals is invariant to hemodynamic convolution but not downsampling
inferredcites →https://doi.org/10.1016/j.neuroimage.2014.06.062openalex-snapshot
Granger causality revisited
inferredcites →https://doi.org/10.1016/j.neuroimage.2016.04.051openalex-snapshot
Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity
inferredcites →https://doi.org/10.1016/j.neuroimage.2017.03.057openalex-snapshot
A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages
inferredcites →https://doi.org/10.1016/j.tics.2006.07.005openalex-snapshot
Beyond mind-reading: multi-voxel pattern analysis of fMRI data
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Neural computations that underlie decisions about sensory stimuli
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Causality
inferredcites →https://doi.org/10.1017/cbo9780511895029openalex-snapshot
Handbook of Functional MRI Data Analysis
inferredcites →https://doi.org/10.1023/b:mach.0000035475.85309.1bopenalex-snapshot
Learning to Decode Cognitive States from Brain Images
inferredcites →https://doi.org/10.1038/mp.2017.73openalex-snapshot
Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group
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Network neuroscience
inferredcites →https://doi.org/10.1038/nrn1931openalex-snapshot
Decoding mental states from brain activity in humans
inferredcites →https://doi.org/10.1038/s41597-019-0113-7openalex-snapshot
fMRI data of mixed gambles from the Neuroimaging Analysis Replication and Prediction Study
inferredcites →https://doi.org/10.1073/pnas.0600244103openalex-snapshot
Information-based functional brain mapping
inferredcites →https://doi.org/10.1073/pnas.1619385114openalex-snapshot
Predicting the knowledge–recklessness distinction in the human brain
inferredcites →https://doi.org/10.1080/00401706.1979.10489788openalex-snapshot
Statistics for Experimenters
inferredcites →https://doi.org/10.1093/bjps/axx053openalex-snapshot
Mixtures and Psychological Inference with Resting State fMRI
inferredcites →https://doi.org/10.1093/schbul/sbt092openalex-snapshot
Resting-State fMRI Connectivity Impairment in Schizophrenia and Bipolar Disorder
inferredcites →https://doi.org/10.1111/j.1467-9280.1994.tb00651.xopenalex-snapshot
On the Dangers of Averaging Across Subjects When Using Multidimensional Scaling or the Similarity-Choice Model
inferredcites →https://doi.org/10.1111/j.1467-9280.2009.02460.xopenalex-snapshot
Decoding the Large-Scale Structure of Brain Function by Classifying Mental States Across Individuals
inferredcites →https://doi.org/10.1111/j.1747-9991.2009.00243.xopenalex-snapshot
Introduction to the Epistemology of Causation
inferredcites →https://doi.org/10.1111/phc3.12470openalex-snapshot
Causal discovery algorithms: A practical guide
inferredcites →https://doi.org/10.1126/science.1063736openalex-snapshot
Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex
inferredcites →https://doi.org/10.1126/science.1134239openalex-snapshot
The Neural Basis of Loss Aversion in Decision-Making Under Risk
inferredcites →https://doi.org/10.1126/science.abe2629openalex-snapshot
Using large-scale experiments and machine learning to discover theories of human decision-making
inferredcites →https://doi.org/10.1162/jocn.2007.19.11.1735openalex-snapshot
Theoretical, Statistical, and Practical Perspectives on Pattern-based Classification Approaches to the Analysis of Functional Neuroimaging Data
inferredcites →https://doi.org/10.1162/neco.2007.09-06-340openalex-snapshot
Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No “Face” Identification Area
inferredcites →https://doi.org/10.1162/netn_a_00061openalex-snapshot
Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods
inferredcites →https://doi.org/10.1176/appi.neuropsych.17.3.425openalex-snapshot
Functional Magnetic Resonance Imaging
inferredcites →https://doi.org/10.1177/1073858406293182openalex-snapshot
Small-World Brain Networks
inferredcites →https://doi.org/10.1192/bjp.2018.89openalex-snapshot
Use of schizophrenia and bipolar disorder polygenic risk scores to identify psychotic disorders
inferredcites →https://doi.org/10.1198/016214504000001880openalex-snapshot
Causal Inference Using Potential Outcomes
inferredcites →https://doi.org/10.1371/journal.pbio.1000033openalex-snapshot
Causal Modelling and Brain Connectivity in Functional Magnetic Resonance Imaging
inferredcites →https://doi.org/10.1523/jneurosci.0497-13.2013openalex-snapshot
The Functional and Structural Neural Basis of Individual Differences in Loss Aversion
inferredcites →https://doi.org/10.3389/fnhum.2014.00897openalex-snapshot
Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects
inferredcites →https://doi.org/10.3389/fninf.2018.00023openalex-snapshot
Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion
inferredcites →https://doi.org/10.3389/fpsyt.2020.00422openalex-snapshot
Altered Temporal Variability of Local and Large-Scale Resting-State Brain Functional Connectivity Patterns in Schizophrenia and Bipolar Disorder
inferredcites →https://doi.org/10.3389/fpsyt.2022.912600openalex-snapshot
Deep Learning in Neuroimaging: Overcoming Challenges With Emerging Approaches
inferredcites →https://doi.org/10.3758/bf03206893openalex-snapshot
On the dangers of averaging across observers when comparing decision bound models and generalized context models of categorization
inferredcites →https://doi.org/10.5860/choice.41-5840openalex-snapshot
Making things happen: a theory of causal explanation

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Discovering the Causal Structure of Haptic Material Perception
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Causation in neuroscience: keeping mechanism meaningful
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Structural Causal Modeling with Double Machine Learning for Robust Policy Evaluation
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Communication in the Wine Trade: The Case of Special Wines. Contributions to the Programme of Terminological Research in Fields Aided by Life and Technical Sciences. A Scientific Report
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The subcortical brain regions influence the cortical areas during resting-state: an fMRI study
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Causality Analysis with Information Geometry: A Comparison
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Towards Explainable Deep Learning in Computational Neuroscience: Visual and Clinical Applications
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Why do interventions framed within the phonological hypothesis of dyslexia work? A treatment-focused analysis
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What We (Do and Don’t) Mean When We Talk About Computational Implementation
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Identifying distinct ensembles recruited during memory acquisition to form the engram
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