NODEAP fMRI dataset

# NODEAP: Distinct contributions of anterior and posterior OFC to outcome-guided behavior **Summary** This dataset includes defaced anatomical T1-weighted MRI and raw multi-echo resting-state fMRI data from a study investigating the distinct roles of the anterior (aOFC) and posterior (pOFC) lateral orbitofrontal cortex in outcome-guided (goal-directed) behavior. Participants underwent odor–reward learning and outcome devaluation across multiple sessions. To probe causal contributions of OFC subregions, network-targeted TMS was applied to either aOFC or pOFC in separate sessions, and its effects on learning versus inference were assessed. - For project code, behavioral data, and full analysis pipelines (including preprocessing of multi-echo resting-state fMRI), see: 👉 [project-nodeap-core](https://github.com/QingfangLiu/project-nodeap-core) - For standalone analyses using functional connectivity derived from this dataset with deep learning methods (e.g., CVAEs), see: 👉 [project-nodeap-fmri-cvae](https://github.com/QingfangLiu/project-nodeap-fmri-cvae) **Participants** - N = 48 healthy adults - See `participants.tsv` for sex, age, stimulation group (aOFC vs. pOFC), and counterbalanced TMS and meal orders **Sessions / tasks** Each subject may have several MRI sessions; session labels match the original collection schedule: - `ses-D0` – baseline/resting-state MRI (no devaluation). - `ses-S1D1`, `ses-S1D2`, `ses-S2D1`, `ses-S2D2`, `ses-S3D1`, `ses-S3D2` – study days spanning learning (Day 1) and post-meal devaluation/choice (Day 2). Some sessions include network-targeted TMS (aOFC or pOFC). - Functional scans are resting-state; multi-echo acquisitions are provided as separate echoes. **What’s included** - `sub-*/anat/` - Defaced T1w MRI: `sub-XX_T1w.nii.gz` (+ JSON sidecar if available). - `sub-*/ses-*/func/` - Raw multi-echo BOLD: `sub-XX_ses-YY_task-rest_run-01_echo-{1,2,3}_bold.nii.gz` (+ matching JSON sidecars when available). - Top-level: `dataset_description.json`, `participants.tsv`, `participants.json`, `README.md`. **Notes on data quality & privacy** - T1w images were defaced prior to sharing. - Functional files are raw (converted with dcm2niix); files with SPM-style prefixes (r/w/y/s*) were excluded. **Folder conventions (BIDS)** ``` nodeap-bids/ sub-01/ anat/sub-01_T1w.nii.gz ses-D0/func/sub-01_ses-D0_task-rest_run-01_echo-1_bold.nii.gz ses-D0/func/sub-01_ses-D0_task-rest_run-01_echo-2_bold.nii.gz ses-D0/func/sub-01_ses-D0_task-rest_run-01_echo-3_bold.nii.gz ses-S1D1/func/... sub-02/ ... ``` **How to cite** Please cite our paper: Liu et al., 'Distinct contributions of anterior and posterior orbitofrontal cortex to outcome-guided behavior', Current Biology (in press). Add DOI when available. **Contacts** - Qingfang Liu — [e-mail] (You may also contact the corresponding author from the manuscript.) **License** This dataset is shared under **CC0**.# NODEAP: 眶额皮层前、后亚区对结果导向行为的独特贡献 **摘要** 本数据集包含经去面部标识的解剖学T1加权磁共振成像（Magnetic Resonance Imaging, MRI）数据与原始多回波静息态功能磁共振成像（functional Magnetic Resonance Imaging, fMRI）数据，其来源研究旨在探究外侧眶额皮层前亚区（anterior OFC, aOFC）与后亚区（posterior OFC, pOFC）在结果导向（目标导向）行为中的独特作用。 受试者在多个实验阶段中完成了气味-奖赏学习与结果贬值任务。为探究眶额皮层亚区的因果性贡献，研究在不同实验阶段分别对aOFC或pOFC实施了网络靶向经颅磁刺激（Transcranial Magnetic Stimulation, TMS），并评估了其对学习与推理过程的影响。 - 如需获取项目代码、行为学数据及完整分析流程（含多回波静息态fMRI预处理），请访问：👉 [project-nodeap-core](https://github.com/QingfangLiu/project-nodeap-core) - 如需使用本数据集衍生的功能连接数据结合深度学习方法（例如变分自编码器（Conditional Variational Autoencoders, CVAEs））开展独立分析，请访问：👉 [project-nodeap-fmri-cvae](https://github.com/QingfangLiu/project-nodeap-fmri-cvae) **受试者** - 共纳入48名健康成年人 - 受试者的性别、年龄、刺激分组（aOFC vs. pOFC）、经颅磁刺激与进餐顺序的平衡设计详情，请参见`participants.tsv`文件。 **实验阶段与任务** 每名受试者可参与多个MRI扫描阶段，阶段标签与原始采集计划一致： - `ses-D0`：基线/静息态MRI扫描（无结果贬值操作）。 - `ses-S1D1`、`ses-S1D2`、`ses-S2D1`、`ses-S2D2`、`ses-S3D1`、`ses-S3D2`：涵盖学习阶段（第1天）与餐后结果贬值/选择阶段（第2天）的实验日。部分阶段包含网络靶向经颅磁刺激（aOFC或pOFC）。 - 功能扫描均为静息态扫描，多回波采集数据以独立回波文件形式提供。 **数据内容** - `sub-*/anat/` 目录： - 去面部标识的T1加权MRI：`sub-XX_T1w.nii.gz`（若有配套文件则包含JSON附属文件）。 - `sub-*/ses-*/func/` 目录： - 原始多回波血氧水平依赖（Blood Oxygen Level Dependent, BOLD）数据：`sub-XX_ses-YY_task-rest_run-01_echo-{1,2,3}_bold.nii.gz`（若有配套文件则包含匹配的JSON附属文件）。 - 根目录文件：`dataset_description.json`、`participants.tsv`、`participants.json`、`README.md`。 **数据质量与隐私说明** - T1加权图像在共享前已完成去面部标识处理。 - 功能文件为原始数据（通过dcm2niix工具转换）；带有SPM风格前缀（r/w/y/s*）的文件已被排除。 **文件夹命名规范（脑成像数据结构（Brain Imaging Data Structure, BIDS）标准）** nodeap-bids/ sub-01/ anat/sub-01_T1w.nii.gz ses-D0/func/sub-01_ses-D0_task-rest_run-01_echo-1_bold.nii.gz ses-D0/func/sub-01_ses-D0_task-rest_run-01_echo-2_bold.nii.gz ses-D0/func/sub-01_ses-D0_task-rest_run-01_echo-3_bold.nii.gz ses-S1D1/func/... sub-02/ ... **引用方式** 请引用我们的论文：Liu等人，《Distinct contributions of anterior and posterior orbitofrontal cortex to outcome-guided behavior》，《Current Biology》（待刊）。待获取DOI后请补充添加。 **联系方式** - 刘晴芳 — [e-mail] （您也可联系论文的通讯作者） **授权协议** 本数据集采用**CC0**协议共享。

搜集汇总

背景与挑战

背景概述

NODEAP fMRI数据集是一个神经影像数据集，包含48名健康成年人的去面部解剖T1加权MRI和原始多回波静息态fMRI数据，用于研究前额叶皮层前部和后部在结果导向行为中的不同作用。数据采集涉及气味-奖励学习、结果贬值任务和网络靶向TMS干预，以BIDS格式组织，总大小为173.46GB，遵循CC0许可协议。