Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations

Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations

Brain activity flow models estimate the movement of task-evoked activity over brain connections to help explain network-generated task functionality. Activity flow models have been shown to accurately generate task-evoked brain activations across a wide variety of brain regions and task conditions....

Full description

Bibliographic Details
Main Authors:	Ruben Sanchez-Romero, Takuya Ito, Ravi D. Mill, Stephen José Hanson, Michael W. Cole
Format:	Article
Language:	English
Published:	Elsevier 2023-09-01
Series:	NeuroImage
Subjects:	Predictive models Causal inference Brain networks Functional connectivity Network neuroscience Activity flow
Online Access:	http://www.sciencedirect.com/science/article/pii/S1053811923004512

Similar Items

A review of causal discovery methods for molecular network analysis
by: Jack Kelly, et al.
Published: (2022-10-01)

Prior Knowledge-Based Causal Inference Algorithms and Their Applications for China COVID-19 Analysis
by: Haifeng Li, et al.
Published: (2022-09-01)

Construction of coherence in the comprehension of narratives: Studies on the importance of the establishment of causal connections, gaps in current research and future directions
by: Jazmín Cevasco, et al.
Published: (2023-01-01)

Contributions of Causality Processing Models to the Study of Discourse Comprehension and the Facilitation of Student Learning
by: Jazmín Cevasco, et al.
Published: (2019-05-01)

eQTLs as causal instruments for the reconstruction of hormone linked gene networks
by: Sean Bankier, et al.
Published: (2022-08-01)

Algorithms of causal inference for the analysis of effective connectivity among brain regions
by: Daniel eChicharro, et al.
Published: (2014-07-01)

The effect of temporal information among events on Bayesian causal inference in rats
by: Kosuke eSawa, et al.
Published: (2014-10-01)

Context modulates the contribution of time and space in causal inference
by: Adam J Woods, et al.
Published: (2012-10-01)

Causal ML: Python package for causal inference machine learning
by: Yang Zhao, et al.
Published: (2023-02-01)

Identify the characteristic in the evolution of the causality between the gold and dollar
by: Ping Wang, et al.
Published: (2022-07-01)

Causal modeling in a multi-omic setting: insights from GAW20
by: Jonathan Auerbach, et al.
Published: (2018-09-01)

Accurate determination of causalities in gene regulatory networks by dissecting downstream target genes
by: Zhigang Jia, et al.
Published: (2022-12-01)

Applying causal discovery to single-cell analyses using CausalCell
by: Yujian Wen, et al.
Published: (2023-05-01)

Supervised Estimation of Granger-Based Causality between Time Series
by: Danilo Benozzo, et al.
Published: (2017-11-01)

Confirmation of the superior performance of the causal Graphical Analysis Using Genetics (cGAUGE) pipeline in comparison to various competing alternatives [version 1; peer review: 2 approved]
by: Heather J. Cordell, et al.
Published: (2022-07-01)

Key Influencing Factors Identification in Complex Systems Based on Heuristic Causal Inference
by: Jianping Wu, et al.
Published: (2023-09-01)

Learning Causal Biological Networks With the Principle of Mendelian Randomization
by: Md. Bahadur Badsha, et al.
Published: (2019-05-01)

Causal inference as an emerging statistical approach in neurology: an example for epilepsy in the elderly
by: Moura LMVR, et al.
Published: (2016-12-01)

A Combinatorial Solution to Causal Compatibility
by: Fraser Thomas C.
Published: (2020-07-01)

Causal Inference via Algebraic Geometry: Feasibility Tests for Functional Causal Structures with Two Binary Observed Variables
by: Lee Ciarán M., et al.
Published: (2017-03-01)

Disentangling causal webs in the brain using functional magnetic resonance imaging: A review of current approaches
by: Natalia Z. Bielczyk, et al.
Published: (2019-02-01)

Explicit representation of protein activity states significantly improves causal discovery of protein phosphorylation networks
by: Jinling Liu, et al.
Published: (2020-09-01)

Trend Analysis of Civil Aviation Incidents Based on Causal Inference and Statistical Inference
by: Peng He, et al.
Published: (2023-09-01)

Causal Inference for a Population of Causally Connected Units
by: van der Laan Mark J.
Published: (2014-03-01)

Causal Diagrams: Pitfalls and Tips
by: Etsuji Suzuki, et al.
Published: (2020-04-01)

Research on Evaluation Elements of Urban Agricultural Green Bases: A Causal Inference-Based Approach
by: Yuchong Long, et al.
Published: (2023-08-01)

MRPC: An R Package for Inference of Causal Graphs
by: Md. Bahadur Badsha, et al.
Published: (2021-04-01)

The Paradox of Time in Dynamic Causal Systems
by: Bob Rehder, et al.
Published: (2022-06-01)

Privileged (Default) Causal Cognition: A Mathematical Analysis
by: David Danks
Published: (2018-04-01)

Inference of Factors for Labor Productivity Growth Used Randomized Experiment and Statistical Causality
by: Ekaterina V. Orlova
Published: (2023-02-01)

Quantitative probing: Validating causal models with quantitative domain knowledge
by: Grünbaum Daniel, et al.
Published: (2023-07-01)

Causal explanations within weak and incomplete theories
by: Nikolai eAxmacher
Published: (2015-11-01)

Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo
by: Diego Carvalho do Nascimento, et al.
Published: (2023-07-01)

Statistical Perspective on Functional and Causal Neural Connectomics: A Comparative Study
by: Rahul Biswas, et al.
Published: (2022-03-01)

On Storks and Babies: Correlation, Causality and Field Experiments
by: Lambrecht Anja, et al.
Published: (2016-11-01)

Learning latent functions for causal discovery
by: Emiliano Díaz, et al.
Published: (2023-01-01)

Causal microeconometrics in accounting research
by: Marek Gruszczyński
Published: (2023-12-01)

Which causal structures might support a quantum–classical gap?
by: Jacques Pienaar
Published: (2017-01-01)

The MR-Base platform supports systematic causal inference across the human phenome
by: Gibran Hemani, et al.
Published: (2018-05-01)

Time and Causality: Editorial
by: Marc J Buehner
Published: (2014-03-01)