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A large-scale dataset of pre- and postsurgical MRI data from patients with chronic trigeminal neuralgia. / Filimonova, Elena; Pashkov, Anton; Tiutiunnik, Anastasiia et al.

In: Scientific Data, Vol. 12, No. 1, 2024, 12.12.2025.

Research output: Contribution to journal › Article › peer-review

Harvard

Filimonova, E, Pashkov, A, Tiutiunnik, A, Moysak, G, Martirosyan, A, Kurilov, V, Brak, I & Rzaev, J 2025, 'A large-scale dataset of pre- and postsurgical MRI data from patients with chronic trigeminal neuralgia', Scientific Data, vol. 12, no. 1, 2024. https://doi.org/10.1038/s41597-025-06311-y

APA

Filimonova, E., Pashkov, A., Tiutiunnik, A., Moysak, G., Martirosyan, A., Kurilov, V., Brak, I., & Rzaev, J. (2025). A large-scale dataset of pre- and postsurgical MRI data from patients with chronic trigeminal neuralgia. Scientific Data, 12(1), [2024]. https://doi.org/10.1038/s41597-025-06311-y

Vancouver

Filimonova E, Pashkov A, Tiutiunnik A, Moysak G, Martirosyan A, Kurilov V et al. A large-scale dataset of pre- and postsurgical MRI data from patients with chronic trigeminal neuralgia. Scientific Data. 2025 Dec 12;12(1):2024. doi: 10.1038/s41597-025-06311-y

Author

Filimonova, Elena ; Pashkov, Anton ; Tiutiunnik, Anastasiia et al. / A large-scale dataset of pre- and postsurgical MRI data from patients with chronic trigeminal neuralgia. In: Scientific Data. 2025 ; Vol. 12, No. 1.

BibTeX

@article{5ce73bf03da049ea989200770276373e,
title = "A large-scale dataset of pre- and postsurgical MRI data from patients with chronic trigeminal neuralgia",
abstract = "The study of chronic pain is a priority in contemporary medical science because of its significant social importance. In this article, we present a large dataset of neuroimaging data from patients with chronic trigeminal neuralgia (112 patients and 48 healthy subjects). The majority of patients underwent surgical treatment either in the form of microvascular decompression or percutaneous interventions (radiofrequency rhizotomy and balloon compression). The remaining patients were observed on an outpatient basis at the neurosurgical hospital (n = 9). Follow-up data six months after treatment were available for 58 patients. In addition to the MRI data, the dataset consists of clinical and demographic information about the patients, including the type, intensity, and side of pain; duration of the disease; and data on pharmacological treatment. By utilizing this dataset, researchers have the opportunity to conduct a detailed examination of the morphometric, tractographic, and functional changes in the brains of patients, allowing them to independently define the focus of their specific research interests.",
keywords = "Humans, Trigeminal Neuralgia/surgery, Magnetic Resonance Imaging, Male, Female, Middle Aged, Aged, Adult",
author = "Elena Filimonova and Anton Pashkov and Anastasiia Tiutiunnik and Galina Moysak and Azniv Martirosyan and Vladimir Kurilov and Ivan Brak and Jamil Rzaev",
note = "This publication has been supported by the RUDN University Strategic Academic Leadership Program, project No. 021934-0-000.",
year = "2025",
month = dec,
day = "12",
doi = "10.1038/s41597-025-06311-y",
language = "English",
volume = "12",
journal = "Scientific Data",
issn = "2052-4463",
publisher = "Nature Publishing Group",
number = "1",

}

RIS

TY - JOUR

T1 - A large-scale dataset of pre- and postsurgical MRI data from patients with chronic trigeminal neuralgia

AU - Filimonova, Elena

AU - Pashkov, Anton

AU - Tiutiunnik, Anastasiia

AU - Moysak, Galina

AU - Martirosyan, Azniv

AU - Kurilov, Vladimir

AU - Brak, Ivan

AU - Rzaev, Jamil

N1 - This publication has been supported by the RUDN University Strategic Academic Leadership Program, project No. 021934-0-000.

PY - 2025/12/12

Y1 - 2025/12/12

N2 - The study of chronic pain is a priority in contemporary medical science because of its significant social importance. In this article, we present a large dataset of neuroimaging data from patients with chronic trigeminal neuralgia (112 patients and 48 healthy subjects). The majority of patients underwent surgical treatment either in the form of microvascular decompression or percutaneous interventions (radiofrequency rhizotomy and balloon compression). The remaining patients were observed on an outpatient basis at the neurosurgical hospital (n = 9). Follow-up data six months after treatment were available for 58 patients. In addition to the MRI data, the dataset consists of clinical and demographic information about the patients, including the type, intensity, and side of pain; duration of the disease; and data on pharmacological treatment. By utilizing this dataset, researchers have the opportunity to conduct a detailed examination of the morphometric, tractographic, and functional changes in the brains of patients, allowing them to independently define the focus of their specific research interests.

AB - The study of chronic pain is a priority in contemporary medical science because of its significant social importance. In this article, we present a large dataset of neuroimaging data from patients with chronic trigeminal neuralgia (112 patients and 48 healthy subjects). The majority of patients underwent surgical treatment either in the form of microvascular decompression or percutaneous interventions (radiofrequency rhizotomy and balloon compression). The remaining patients were observed on an outpatient basis at the neurosurgical hospital (n = 9). Follow-up data six months after treatment were available for 58 patients. In addition to the MRI data, the dataset consists of clinical and demographic information about the patients, including the type, intensity, and side of pain; duration of the disease; and data on pharmacological treatment. By utilizing this dataset, researchers have the opportunity to conduct a detailed examination of the morphometric, tractographic, and functional changes in the brains of patients, allowing them to independently define the focus of their specific research interests.

KW - Humans

KW - Trigeminal Neuralgia/surgery

KW - Magnetic Resonance Imaging

KW - Male

KW - Female

KW - Middle Aged

KW - Aged

KW - Adult

UR - https://www.scopus.com/pages/publications/105026215304

U2 - 10.1038/s41597-025-06311-y

DO - 10.1038/s41597-025-06311-y

M3 - Article

C2 - 41387477

VL - 12

JO - Scientific Data

JF - Scientific Data

SN - 2052-4463

IS - 1

M1 - 2024

ER -

ID: 74214135