Datasets:

chehablab
/

BCSP_t1w

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

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:

@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.

Chehab Lab @ 2026