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Targeted Neuromodulation of the Left Dorsolateral Prefrontal Cortex Alleviates Altered Affective Response Evaluation in Lonely Individuals

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OpenNeuro2025-10-29 更新2026-03-14 收录
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# Emotion Processing and Regulation Task (Static Stimuli) — tDCS‑EEG Dataset This repository provides EEG recordings and behavioral data from the **Emotion Processing and Regulation** task conducted with **transcranial direct current stimulation (tDCS)**. * **Preregistration:** [https://osf.io/qdp3w](https://osf.io/qdp3w) * **Preprint:** [https://osf.io/qtm8r](https://osf.io/qtm8r) --- ## Overview Each participant took part in **two experimental sessions**: * **`ses-1`** — Sham stimulation * **`ses-2`** — Active stimulation The order of sham/active conditions was counterbalanced across participants. --- ## Participants * **N = 120** right‑handed, neurologically healthy adults with normal or corrected‑to‑normal vision. * **Missing data:** Participant `sub-005` completed only `ses-1` due to a recording error during `ses-2`. --- ## Experimental Task Participants completed 120 trials per session, evenly allocated to a 2 (content: social, non-social) × 3 (regulation requirement: watch-neutral, watch-negative, reappraise-negative) factorial design. On each trial, they viewed a static image for 5 s and either watched or reappraised it as instructed. After each image, participants rated its arousal and then valence on separate 9-point scales. --- ## tDCS Stimulation **System:** Starstim 8 (Neuroelectrics, Spain) with **NIC2** software. ### Electrode Montage Stimulation was targeted to the dorsolateral prefrontal cortex (dlPFC) in two alternative montages: * **Right dlPFC stimulation** * *Anode:* **F4** * *Returns:* **FP2, FZ, FC2, FC6** * **Left dlPFC stimulation** * *Anode:* **F3** * *Returns:* **FP1, FZ, FC1, FC5** **Electrode areas** * **Anodal:** 8 cm² * **Return:** π cm² * **Ground:** left earlobe ### Stimulation Protocol * **Active:** 2 mA for 20 min (with 30 s ramp‑up) * **Sham:** only ramp‑up periods at start and end; no sustained current * **Questionnaires:** After each session, participants completed the **tDCS Sensation Questionnaire** (Polish version: [https://osf.io/ufszr](https://osf.io/ufszr)) to evaluate potential side effects. Additionally, after the final session, they indicated whether they believed each session involved *real*, *sham*, or *I don’t know* stimulation to assess **blinding effectiveness**. --- ## EEG Acquisition * **Cap:** 64‑channel QuickCap (32 EEG electrodes used) * **Amplifier:** Neuroscan SynampsRT * **Sampling rate:** 1000 Hz * **Impedance:** kept < 10 kΩ **Active EEG electrodes (32):** FP1, FP2, F7, F3, FZ, F4, F8, FT7, FC3, FCZ, FC4, FT8, T7, C3, CZ, C4, T8, M1, TP7, CP3, CPZ, CP4, TP8, M2, P7, P3, PZ, P4, P8, O1, OZ, O2 **Additional sensors** * **EOG:** Horizontal (HEO) and Vertical (VEO) channels were available on the cap but **were not connected** during recording. * **Physio:** ECG and GSR/EDA were recorded via auxiliary channels. --- ## EEG Preprocessing All preprocessing was performed in **MATLAB R2020b** using **EEGLAB 2023.0** and **ERPLAB 9.10**. The full, commented pipeline is provided in `code/Preprocessing_EEG.m`. ### Steps 1. **Band‑pass filter:** 0.1–30 Hz (zero‑phase Hamming‑windowed FIR) 2. **Downsample** to **250 Hz** 3. **Re‑reference** to average mastoids (M1, M2) 4. **Bad‑channel detection** using *clean_rawdata* (autocorrelation criterion = 0.8) 5. **ICA** with *runica* 6. **Automatic IC rejection** using **ADJUST** and **SASICA** 7. **Spherical interpolation** of removed channels 8. **Epoching:** −200 to 5000 ms relative to stimulus onset 9. **Baseline correction:** −200 ms pre‑stimulus 10. **Artifact rejection:** Step 1 – absolute amplitude on channels 1–30, epochs rejected if amplitude exceeded ±200 µV within −200 to 5000 ms. Step 2 – FASTER epoch_properties on channels 1–30, epochs rejected if any metric exceeded |z| > 2. 11. **Condition‑wise averaging** using ERPLAB --- ## Derivatives & Ancillary Data ### `derivatives/processed_erps/` Averaged ERP files (`.erp`) for each participant and session after preprocessing. ### `derivatives/side_effects_blinding_effectiveness/` * `side_effects_blinding_effectiveness_english.csv` — _blinding effectiveness and side effects questionnaire * `side_effects_blinding_effectiveness_data_dictionary.csv` — data dictionary with variable names and value coding ### `code/` * MATLAB preprocessing script and documentation: `Preprocessing_EEG.m` ---
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2025-10-29
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