Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
9
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Neural mechanisms of background and velocity effects in smooth pursuit eye movements

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Smooth pursuit eye movements (SPEM) are essential to guide behaviour in complex visual environments. SPEM accuracy is known to be degraded by the presence of a structured visual background and at higher target velocities. The aim of this preregistered study was to investigate the neural mechanisms of these robust behavioural effects. N = 33 participants performed a SPEM task with two background conditions (present and absent) at two target velocities (0.4 and 0.6 Hz). Eye movement and BOLD data were collected simultaneously. Both the presence of a structured background and faster target velocity decreased pursuit gain and increased catch‐up saccade rate. Faster targets additionally increased position error. Higher BOLD response with background was found in extensive clusters in visual, parietal, and frontal areas (including the medial frontal eye fields; FEF) partially overlapping with the known SPEM network. Faster targets were associated with higher BOLD response in visual cortex and left lateral FEF. Task‐based functional connectivity analyses (psychophysiological interactions; PPI) largely replicated previous results in the basic SPEM network but did not yield additional information regarding the neural underpinnings of the background and velocity effects. The results show that the presentation of visual background stimuli during SPEM induces activity in a widespread visuo‐parieto‐frontal network including areas contributing to cognitive aspects of oculomotor control such as medial FEF, whereas the response to higher target velocity involves visual and motor areas such as lateral FEF. Therefore, we were able to propose for the first time different functions of the medial and lateral FEF during SPEM.

          Abstract

          Visual background stimuli reduce smooth pursuit accuracy and are associated with enhanced brain activity in a widespread occipito‐parieto‐frontal brain network. Faster targets similarly reduce smooth pursuit performance but yield enhanced BOLD response only in visual cortex and lateral frontal eye fields. Functional connectivity analyses confirmed the interactions amongst components of the SPEM network but did not yield differences between task conditions.

          Related collections

          Most cited references90

          • Record: found
          • Abstract: found
          • Article: not found

          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data.

            Correlating the activation foci identified in functional imaging studies of the human brain with structural (e.g., cytoarchitectonic) information on the activated areas is a major methodological challenge for neuroscience research. We here present a new approach to make use of three-dimensional probabilistic cytoarchitectonic maps, as obtained from the analysis of human post-mortem brains, for correlating microscopical, anatomical and functional imaging data of the cerebral cortex. We introduce a new, MATLAB based toolbox for the SPM2 software package which enables the integration of probabilistic cytoarchitectonic maps and results of functional imaging studies. The toolbox includes the functionality for the construction of summary maps combining probability of several cortical areas by finding the most probable assignment of each voxel to one of these areas. Its main feature is to provide several measures defining the degree of correspondence between architectonic areas and functional foci. The software, together with the presently available probability maps, is available as open source software to the neuroimaging community. This new toolbox provides an easy-to-use tool for the integrated analysis of functional and anatomical data in a common reference space.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              The Angular Gyrus

              There is considerable interest in the structural and functional properties of the angular gyrus (AG). Located in the posterior part of the inferior parietal lobule, the AG has been shown in numerous meta-analysis reviews to be consistently activated in a variety of tasks. This review discusses the involvement of the AG in semantic processing, word reading and comprehension, number processing, default mode network, memory retrieval, attention and spatial cognition, reasoning, and social cognition. This large functional neuroimaging literature depicts a major role for the AG in processing concepts rather than percepts when interfacing perception-to-recognition-to-action. More specifically, the AG emerges as a cross-modal hub where converging multisensory information is combined and integrated to comprehend and give sense to events, manipulate mental representations, solve familiar problems, and reorient attention to relevant information. In addition, this review discusses recent findings that point to the existence of multiple subdivisions in the AG. This spatial parcellation can serve as a framework for reporting AG activations with greater definition. This review also acknowledges that the role of the AG cannot comprehensibly be identified in isolation but needs to be understood in parallel with the influence from other regions. Several interesting questions that warrant further investigations are finally emphasized.
                Bookmark

                Author and article information

                Contributors
                ulrich.ettinger@uni-bonn.de
                Journal
                Hum Brain Mapp
                Hum Brain Mapp
                10.1002/(ISSN)1097-0193
                HBM
                Human Brain Mapping
                John Wiley & Sons, Inc. (Hoboken, USA )
                1065-9471
                1097-0193
                04 November 2022
                15 February 2023
                : 44
                : 3 ( doiID: 10.1002/hbm.v44.3 )
                : 1002-1018
                Affiliations
                [ 1 ] Department of Psychology University of Bonn Bonn Germany
                [ 2 ] Department of Finance The University of Melbourne Australia
                [ 3 ] Institute for Experimental Epileptology and Cognition Research University of Bonn Bonn Germany
                [ 4 ] Clinic of Neuroradiology University Hospital Bonn Germany
                [ 5 ] Clinical Neuroimaging German Center for Neurodegenerative Diseases (DZNE) Bonn Germany
                Author notes
                [*] [* ] Correspondence

                Ulrich Ettinger, Department of Psychology, University of Bonn, Kaiser‐Karl‐Ring 9, D‐53111 Bonn, Germany.

                Email: ulrich.ettinger@ 123456uni-bonn.de

                Author information
                https://orcid.org/0000-0002-0206-4484
                Article
                HBM26127
                10.1002/hbm.26127
                9875926
                36331125
                fe9035ba-5d95-4101-bf77-6f609d570d78
                © 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 30 August 2022
                : 17 June 2022
                : 30 September 2022
                Page count
                Figures: 4, Tables: 4, Pages: 17, Words: 14066
                Funding
                Funded by: Rebekka Schröder was funded by Studienstiftung des Deutschen Volkes
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                February 15, 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.4 mode:remove_FC converted:25.01.2023

                Neurology
                background,distractor,fmri,frontal eye fields,functional connectivity,smooth pursuit
                Neurology
                background, distractor, fmri, frontal eye fields, functional connectivity, smooth pursuit

                Comments

                Comment on this article