| --- |
| dataset_info: |
| features: |
| - name: volume_id |
| dtype: int32 |
| - name: slice_id |
| dtype: int32 |
| - name: age |
| dtype: int32 |
| - name: sex |
| dtype: string |
| - name: iq |
| dtype: float32 |
| - name: diagnosis |
| dtype: string |
| - name: with_auditory_hallucinations |
| dtype: bool |
| - name: image |
| dtype: image |
| splits: |
| - name: train |
| num_bytes: 93925657.16 |
| num_examples: 12780 |
| download_size: 90962829 |
| dataset_size: 93925657.16 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc0-1.0 |
| language: |
| - en |
| task_categories: |
| - image-classification |
| tags: |
| - mri |
| - medical |
| pretty_name: Brain Correlates of Speech Perception in Schizophrenia |
| size_categories: |
| - 10K<n<100K |
| --- |
| # Brain Correlates of Speech Perception in Schizophrenia |
|
|
| This dataset contains materials from the study *"Brain correlates of speech perception in schizophrenia patients with and without auditory hallucinations"* by Soler-Vidal et al. (2022), aimed at studying the neural activation patterns associated with speech perception in healthy participants and individuals with schizophrenia, with and without auditory hallucinations. |
|
|
|
|
| ## 🧠 Dataset Description |
|
|
| This repository provides a **2D slice-based version** of the original t1w dataset, designed for efficient deep learning and representation learning workflows. |
|
|
| Each entry corresponds to a **single 2D t1w slice** extracted from a volume and includes both imaging metadata and participant-level clinical information. |
|
|
|
|
| ## 📦 Dataset Structure |
|
|
| Each dataset entry contains: |
|
|
| - `volume_id` → Unique identifier for the t1w volume/participant |
| - `slice_id` → Index of the slice within the volume |
| - `image` → 2D fMRI slice |
| - `age` → Participant age |
| - `sex` → Participant sex |
| - `iq` → Intelligence quotient score |
| - `diagnosis` → Clinical diagnosis (`healthy` or `schizophrenia`) |
| - `with_auditory_hallucinations` → Boolean indicating whether the participant experiences auditory hallucinations |
|
|
| ## Use |
|
|
| ```python |
| from datasets import load_dataset |
| import matplotlib.pyplot as plt |
| |
| dataset = load_dataset("chehablaborg/schizophrenia_speech_perception", split="train") |
| |
| sample_id = 314 |
| |
| image = dataset[sample_id]["image"] |
| diagnosis = dataset[sample_id]["diagnosis"] |
| |
| plt.imshow(image, cmap="gray") |
| plt.title(diagnosis) |
| plt.show() |
| ``` |
|
|
| ## 📚 Citation |
|
|
| If you use this dataset, please mention us https://chehablab.com in an acknowledgement and cite the original publication: |
|
|
| ```bibtex |
| @article{solervidal2022speechperception, |
| title={Brain correlates of speech perception in schizophrenia patients with and without auditory hallucinations}, |
| author={Soler-Vidal, J. and Fuentes-Claramonte, P. and Salgado-Pineda, P. and Ramiro, N. and García-León, M. Á. and Torres, M. L. and Arévalo, A. and Guerrero-Pedraza, A. and Munuera, J. and Sarró, S. and Salvador, R. and Hinzen, W. and McKenna, P. and Pomarol-Clotet, E.}, |
| journal={PLOS ONE}, |
| volume={17}, |
| number={12}, |
| pages={e0276975}, |
| year={2022}, |
| doi={10.1371/journal.pone.0276975}, |
| url={https://doi.org/10.1371/journal.pone.0276975} |
| } |
| ``` |
|
|
| ## 📜 License |
| This dataset is released under the **Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication**. |
| You may copy, modify, distribute, and use the data, even for commercial purposes, without asking permission. |
| [](https://creativecommons.org/publicdomain/zero/1.0/) |
|
|
| [Chehab Lab](https://chehablab.com) @ 2026 |
