{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["65"],"submitter":["Figueroa-Vargas A"],"pubmed_abstract":["In daily life, we often face decisions where potential outcomes are unclear, creating uncertainty. The complete or partial lack of knowledge regarding outcome probabilities-referred to as ambiguity-poses significant challenges for individuals. While recent studies have linked ambiguity in decision-making to neural activity in the parietal cortex, the precise role of this region and its interactions with other brain areas remain poorly understood. Here, we present a comprehensive dataset on human decision-making under conditions of risk and ambiguity. The dataset includes two experimental sessions. The first one corresponds to the MRI setting, which includes structural MRI (T1- and T2-weighted images, <i>n</i> = 52), diffusion-weighted imaging (<i>n</i> = 45), and task-based functional MRI (<i>n</i> = 38). The second session corresponds to the EEG setting combined with inhibitory transcranial magnetic stimulation (TMS), targeting two parietal regions and the vertex (<i>n</i> = 24). TMS targets were defined from group-level fMRI activations obtained in the first session and then transformed to individual anatomy. Ten participants completed both fMRI and EEG-TMS recordings. This dataset, partially analyzed in previous work, now includes newly acquired and previously unexamined data-such as diffusion-weighted imaging, T2-weighted images-and is fully organized according to the Brain Imaging Data Structure (BIDS) standard. It provides valuable opportunities to investigate the neurobiological decision-making mechanisms under ambiguity, focusing on the parietal cortex."],"journal":["Data in brief"],"pagination":["112535"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12907683"],"repository":["biostudies-literature"],"pubmed_title":["A comprehensive multimodal MRI and EEG-TMS dataset on the impact of parietal cortex inhibition on decision-making under ambiguity."],"pmcid":["PMC12907683"],"pubmed_authors":["Figueroa-Vargas A","Valdebenito-Oyarzo G","Martinez-Molina MP","Billeke P","Zamorano F"],"additional_accession":[]},"is_claimable":false,"name":"A comprehensive multimodal MRI and EEG-TMS dataset on the impact of parietal cortex inhibition on decision-making under ambiguity.","description":"In daily life, we often face decisions where potential outcomes are unclear, creating uncertainty. The complete or partial lack of knowledge regarding outcome probabilities-referred to as ambiguity-poses significant challenges for individuals. While recent studies have linked ambiguity in decision-making to neural activity in the parietal cortex, the precise role of this region and its interactions with other brain areas remain poorly understood. Here, we present a comprehensive dataset on human decision-making under conditions of risk and ambiguity. The dataset includes two experimental sessions. The first one corresponds to the MRI setting, which includes structural MRI (T1- and T2-weighted images, <i>n</i> = 52), diffusion-weighted imaging (<i>n</i> = 45), and task-based functional MRI (<i>n</i> = 38). The second session corresponds to the EEG setting combined with inhibitory transcranial magnetic stimulation (TMS), targeting two parietal regions and the vertex (<i>n</i> = 24). TMS targets were defined from group-level fMRI activations obtained in the first session and then transformed to individual anatomy. Ten participants completed both fMRI and EEG-TMS recordings. This dataset, partially analyzed in previous work, now includes newly acquired and previously unexamined data-such as diffusion-weighted imaging, T2-weighted images-and is fully organized according to the Brain Imaging Data Structure (BIDS) standard. It provides valuable opportunities to investigate the neurobiological decision-making mechanisms under ambiguity, focusing on the parietal cortex.","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Apr","modification":"2026-07-10T03:11:33.745Z","creation":"2026-07-10T03:08:38.994Z"},"accession":"S-EPMC12907683","cross_references":{"pubmed":["41704500"],"doi":["10.1016/j.dib.2026.112535"]}}