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      Re-imagining fMRI for awake behaving infants

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          Abstract

          Thousands of functional magnetic resonance imaging (fMRI) studies have provided important insight into the human brain. However, only a handful of these studies tested infants while they were awake, because of the significant and unique methodological challenges involved. We report our efforts to address these challenges, with the goal of creating methods for awake infant fMRI that can reveal the inner workings of the developing, preverbal mind. We use these methods to collect and analyze two fMRI datasets obtained from infants during cognitive tasks, released publicly with this paper. In these datasets, we explore and evaluate data quantity and quality, task-evoked activity, and preprocessing decisions. We disseminate these methods by sharing two software packages that integrate infant-friendly cognitive tasks and eye-gaze monitoring with fMRI acquisition and analysis. These resources make fMRI a feasible and accessible technique for cognitive neuroscience in awake and behaving human infants.

          Abstract

          Using fMRI on awake infants could help us understand the contents of a baby’s mind, long before they can speak. Here, the authors report advances in how to collect, preprocess, and analyze task-based fMRI data from infants, and they share the resulting datasets and software.

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          Most cited references33

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          Unconscious determinants of free decisions in the human brain.

          There has been a long controversy as to whether subjectively 'free' decisions are determined by brain activity ahead of time. We found that the outcome of a decision can be encoded in brain activity of prefrontal and parietal cortex up to 10 s before it enters awareness. This delay presumably reflects the operation of a network of high-level control areas that begin to prepare an upcoming decision long before it enters awareness.
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            Optimal experimental design for event-related fMRI

            An important challenge in the design and analysis of event‐related or single‐trial functional magnetic resonance imaging (fMRI) experiments is to optimize statistical efficiency, i.e., the accuracy with which the event‐related hemodynamic response to different stimuli can be estimated for a given amount of imaging time. Several studies have suggested that using a fixed inter‐stimulus‐interval (ISI) of at least 15 sec results in optimal statistical efficiency or power and that using shorter ISIs results in a severe loss of power. In contrast, recent studies have demonstrated the feasibility of using ISIs as short as 500 ms while still maintaining considerable efficiency or power. Here, we attempt to resolve this apparent contradiction by a quantitative analysis of the relative efficiency afforded by different event‐related experimental designs. This analysis shows that statistical efficiency falls off dramatically as the ISI gets sufficiently short, if the ISI is kept fixed for all trials. However, if the ISI is properly jittered or randomized from trial to trial, the efficiency improves monotonically with decreasing mean ISI. Importantly, the efficiency afforded by such variable ISI designs can be more than 10 times greater than that which can be achieved by fixed ISI designs. These results further demonstrate the feasibility of using identical experimental designs with fMRI and electro‐/magnetoencephalography (EEG/MEG) without sacrificing statistical power or efficiency of either technique, thereby facilitating comparison and integration across imaging modalities. Hum. Brain Mapping 8:109–114, 1999. © 1999 Wiley‐Liss, Inc.
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              What's in a look?

              The most common behavioral technique used to study infant perception, cognition, language, and social development is some variant of looking time. Since its inception as a reliable method in the late 1950s, a tremendous increase in knowledge about infant competencies has been gained by inferences made from measures of looking time. Here we examine the logic, utility, and future prospects for further gains in our understanding of infant cognition from the use of looking time measures.
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                Author and article information

                Contributors
                nicholas.turk-browne@yale.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                9 September 2020
                9 September 2020
                2020
                : 11
                : 4523
                Affiliations
                [1 ]GRID grid.47100.32, ISNI 0000000419368710, Department of Psychology, , Yale University, ; New Haven, CT 06511 USA
                [2 ]GRID grid.256766.6, ISNI 0000 0004 1936 7881, Department of Psychology, , Hamilton College, ; Clinton, NY 13323 USA
                Author information
                http://orcid.org/0000-0002-3254-5940
                http://orcid.org/0000-0001-7176-3636
                http://orcid.org/0000-0001-7519-3001
                Article
                18286
                10.1038/s41467-020-18286-y
                7481790
                32908125
                a1296e7b-4542-43f3-8c7e-09cdf83f0d5a
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 April 2020
                : 10 August 2020
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                © The Author(s) 2020

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                cognitive neuroscience,psychology
                Uncategorized
                cognitive neuroscience, psychology

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