Raw data for the study 'Influence of frontal-to-parietal connectivity in pseudoneglect: A cortico-cortical paired associative stimulation study' by Guidali G, Bagattini C, De Matola M & Brignani D (2023)

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Guidali_et_al_ccPAS_rawdata

Raw data for the study 'Influence of frontal-to-parietal connectivity in pseudoneglect: A cortico-cortical paired associative stimulation study' by Guidali G, Bagattini C, De Matola M & Brignani D (2023)

Folders contain raw data of each subject. Dataset, scripts and analysis files can be found on Open Science Framework: https://osf.io/6mypr/ (Guidali, G., Bagattini, C., De Matola, M., & Brignani, D. (2023, June 18). Influence of frontal-to-parietal connectivity in pseudoneglect: A cortico-cortical paired associative stimulation study . https://doi.org/10.17605/OSF.IO/6MYPR)

datacite.yml
Title Raw data of 'Influence of frontal-to-parietal connectivity in pseudoneglect: A cortico-cortical paired associative stimulation study'
Authors Guidali,Giacomo;Department of Psychology, University of Milano-Bicocca, Milan, Italy;ORCID: 0000-0002-3741-0404
Bagattini,Chiara;Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy;ORCID: 0000-0002-9193-3345
Matteo,De Matola;Center for Mind/Brain Sciences – CIMeC, University of Trento, Rovereto (TN), Italy
Debora,Brignani;Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy;ORCID: 0000-0003-0848-5164
Description Pseudoneglect is a set of visuospatial biases that entails a behavioral advantage for stimuli appearing in the left hemifield compared to the right one. Although right hemisphere dominance for visuospatial processing has been invoked to explain this phenomenon, its neurophysiological mechanisms are still debated, and the role of intra- and inter-hemispheric connectivity is yet to be defined. The present study explored the possibility of modulating pseudoneglect in healthy participants through a cortico-cortical paired associative stimulation protocol (ccPAS): a non-invasive brain stimulation protocol that manipulates the interplay between brain regions through the repeated, time-locked coupling of two transcranial magnetic stimulation (TMS) pulses. In the first experiment, healthy participants were administered a frontal-to-parietal (FP) and a parietal-to-frontal (PF) ccPAS. In the FP protocol, the first TMS pulse targeted the right frontal eye field (FEF), and the second pulse the right inferior parietal lobule (IPL), two critical areas for visuospatial and attentional processing. In the PF condition, the order of the pulses was reversed. In both protocols, the inter-stimulus interval (ISI) was 10 ms. Before and after stimulation, visuospatial bias was assessed with a landmark task and a manual line bisection task. A second experiment controlled for ccPAS timing dependency by testing FP-ccPAS with a longer ISI of 100 ms. Results showed that after administering the FP-ccPAS with the ISI of 10 ms, participants’ leftward bias in the landmark task increased significantly, with no effects in the manual line bisection task. The other two protocols tested were ineffective. Our findings showed that ccPAS could be used to modulate pseudoneglect by exploiting frontal-to-parietal connectivity, possibly through increased top-down attentional control. FP-ccPAS could represent a promising tool to investigate connectivity properties within visuospatial and attentional networks in the healthy and as a potential rehabilitation protocol in patients suffering from severe visuospatial pathologies.
License Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References Guidali, G., Bagattini, C., De Matola, M., & Brignani, D. (2023, June 18). Influence of frontal-to-parietal connectivity in pseudoneglect: A cortico-cortical paired associative stimulation study . https://doi.org/10.17605/OSF.IO/6MYPR [DOI: 10.17605/OSF.IO/6MYPR] (IsSupplementTo)
Funding
Keywords visuospatial bias
ccPAS
transcranial magnetic stimulation
connectivity
plasticity
Resource Type Dataset