Literature DB >> 30988445

Quasi-experimental causality in neuroscience and behavioural research.

Ioana E Marinescu1, Patrick N Lawlor2, Konrad P Kording3,4.   

Abstract

In many scientific domains, causality is the key question. For example, in neuroscience, we might ask whether a medication affects perception, cognition or action. Randomized controlled trials are the gold standard to establish causality, but they are not always practical. The field of empirical economics has developed rigorous methods to establish causality even when randomized controlled trials are not available. Here we review these quasi-experimental methods and highlight how neuroscience and behavioural researchers can use them to do research that can credibly demonstrate causal effects.

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Year:  2018        PMID: 30988445     DOI: 10.1038/s41562-018-0466-5

Source DB:  PubMed          Journal:  Nat Hum Behav        ISSN: 2397-3374


  18 in total

1.  Quantifying causality in data science with quasi-experiments.

Authors:  Tony Liu; Lyle Ungar; Konrad Kording
Journal:  Nat Comput Sci       Date:  2021-01-14

Review 2.  Causal mapping of human brain function.

Authors:  Shan H Siddiqi; Konrad P Kording; Josef Parvizi; Michael D Fox
Journal:  Nat Rev Neurosci       Date:  2022-04-20       Impact factor: 38.755

3.  Granger causality analysis of rat cortical functional connectivity in pain.

Authors:  Xinling Guo; Qiaosheng Zhang; Amrita Singh; Jing Wang; Zhe Sage Chen
Journal:  J Neural Eng       Date:  2020-02-07       Impact factor: 5.379

4.  Advancing functional connectivity research from association to causation.

Authors:  Andrew T Reid; Drew B Headley; Ravi D Mill; Ruben Sanchez-Romero; Lucina Q Uddin; Daniele Marinazzo; Daniel J Lurie; Pedro A Valdés-Sosa; Stephen José Hanson; Bharat B Biswal; Vince Calhoun; Russell A Poldrack; Michael W Cole
Journal:  Nat Neurosci       Date:  2019-10-14       Impact factor: 24.884

Review 5.  Promising vulnerability markers of substance use and misuse: A review of human neurobehavioral studies.

Authors:  Briana Lees; Alexis M Garcia; Jennifer Debenham; Anna E Kirkland; Brittany E Bryant; Louise Mewton; Lindsay M Squeglia
Journal:  Neuropharmacology       Date:  2021-02-16       Impact factor: 5.250

6.  On the Nature of Explanations Offered by Network Science: A Perspective From and for Practicing Neuroscientists.

Authors:  Maxwell A Bertolero; Danielle S Bassett
Journal:  Top Cogn Sci       Date:  2020-05-22

7.  Paranoia and belief updating during a crisis.

Authors:  Praveen Suthaharan; Erin J Reed; Pantelis Leptourgos; Joshua Kenney; Stefan Uddenberg; Christoph D Mathys; Leib Litman; Jonathan Robinson; Aaron J Moss; Jane R Taylor; Stephanie M Groman; Philip R Corlett
Journal:  Res Sq       Date:  2021-01-18

8.  Heterogeneous Graphical Granger Causality by Minimum Message Length.

Authors:  Kateřina Hlaváčková-Schindler; Claudia Plant
Journal:  Entropy (Basel)       Date:  2020-12-11       Impact factor: 2.524

Review 9.  Combining transcranial magnetic stimulation with functional magnetic resonance imaging for probing and modulating neural circuits relevant to affective disorders.

Authors:  Desmond J Oathes; Nicholas L Balderston; Konrad P Kording; Joseph A DeLuisi; Gianna M Perez; John D Medaglia; Yong Fan; Romain J Duprat; Theodore D Satterthwaite; Yvette I Sheline; Kristin A Linn
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2021-01-19

10.  Attenuated reward activations associated with cannabis use in anxious/depressed individuals.

Authors:  Philip A Spechler; Jennifer L Stewart; Rayus Kuplicki; Martin P Paulus
Journal:  Transl Psychiatry       Date:  2020-06-15       Impact factor: 6.222

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