Literature DB >> 31257145

Naturalistic Stimuli in Neuroscience: Critically Acclaimed.

Saurabh Sonkusare1, Michael Breakspear2, Christine Guo3.   

Abstract

Cognitive neuroscience has traditionally focused on simple tasks, presented sparsely and using abstract stimuli. While this approach has yielded fundamental insights into functional specialisation in the brain, its ecological validity remains uncertain. Do these tasks capture how brains function 'in the wild', where stimuli are dynamic, multimodal, and crowded? Ecologically valid paradigms that approximate real life scenarios, using stimuli such as films, spoken narratives, music, and multiperson games emerged in response to these concerns over a decade ago. We critically appraise whether this approach has delivered on its promise to deliver new insights into brain function. We highlight the challenges, technological innovations, and clinical opportunities that are required should this field meet its full potential.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  critical dynamics; emotion; fMRI analysis; memory; movies; naturalistic stimuli; resting-state fMRI; social cognition

Year:  2019        PMID: 31257145     DOI: 10.1016/j.tics.2019.05.004

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  83 in total

1.  Visual cortical regions show sufficient test-retest reliability while salience regions are unreliable during emotional face processing.

Authors:  Timothy J McDermott; Namik Kirlic; Elisabeth Akeman; James Touthang; Kelly T Cosgrove; Danielle C DeVille; Ashley N Clausen; Evan J White; Rayus Kuplicki; Robin L Aupperle
Journal:  Neuroimage       Date:  2020-06-20       Impact factor: 6.556

2.  Temporal fluctuations in the brain's modular architecture during movie-watching.

Authors:  Richard F Betzel; Lisa Byrge; Farnaz Zamani Esfahlani; Daniel P Kennedy
Journal:  Neuroimage       Date:  2020-02-29       Impact factor: 6.556

3.  Preparatory delta phase response is correlated with naturalistic speech comprehension performance.

Authors:  Jiawei Li; Bo Hong; Guido Nolte; Andreas K Engel; Dan Zhang
Journal:  Cogn Neurodyn       Date:  2021-08-31       Impact factor: 5.082

4.  A naturalistic neuroimaging database for understanding the brain using ecological stimuli.

Authors:  Sarah Aliko; Jiawen Huang; Florin Gheorghiu; Stefanie Meliss; Jeremy I Skipper
Journal:  Sci Data       Date:  2020-10-13       Impact factor: 6.444

5.  Inter-brain synchrony in teams predicts collective performance.

Authors:  Diego A Reinero; Suzanne Dikker; Jay J Van Bavel
Journal:  Soc Cogn Affect Neurosci       Date:  2021-01-18       Impact factor: 3.436

6.  Visual Neuroscience Methods for Marmosets: Efficient Receptive Field Mapping and Head-Free Eye Tracking.

Authors:  Patrick Jendritza; Frederike J Klein; Gustavo Rohenkohl; Pascal Fries
Journal:  eNeuro       Date:  2021-05-17

7.  Data-driven analysis of facial thermal responses and multimodal physiological consistency among subjects.

Authors:  Saurabh Sonkusare; Michael Breakspear; Tianji Pang; Vinh Thai Nguyen; Sascha Frydman; Christine Cong Guo; Matthew J Aburn
Journal:  Sci Rep       Date:  2021-06-08       Impact factor: 4.996

8.  Mapping the artistic brain: Common and distinct neural activations associated with musical, drawing, and literary creativity.

Authors:  Qunlin Chen; Roger E Beaty; Jiang Qiu
Journal:  Hum Brain Mapp       Date:  2020-05-30       Impact factor: 5.038

9.  Using Network Parcels and Resting-State Networks to Estimate Correlates of Mood Disorder and Related Research Domain Criteria Constructs of Reward Responsiveness and Inhibitory Control.

Authors:  Scott A Langenecker; Mindy Westlund Schreiner; Leah R Thomas; Katie L Bessette; Sophia R DelDonno; Lisanne M Jenkins; Rebecca E Easter; Jonathan P Stange; Stephanie L Pocius; Alina Dillahunt; Tiffany M Love; K Luan Phan; Vincent Koppelmans; Martin Paulus; Martin A Lindquist; Brian Caffo; Brian J Mickey; Robert C Welsh
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2021-07-13

10.  Cortical response to naturalistic stimuli is largely predictable with deep neural networks.

Authors:  Meenakshi Khosla; Gia H Ngo; Keith Jamison; Amy Kuceyeski; Mert R Sabuncu
Journal:  Sci Adv       Date:  2021-05-28       Impact factor: 14.136

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