6 research outputs found
A behavioral and brain imaging dataset with focus on emotion regulation of women with fibromyalgia
Fibromyalgia is a chronic condition characterized by widespread pain, as well as numerous symptoms related to central sensitization such as: fatigue, cognitive disturbances, constipation/diarrhea and sensory hypersensitivity. Furthermore, depression and anxiety are prevalent comorbidities, accompanied by emotion processing and regulation difficulties. Although fibromyalgia physiopathology is still not fully understood, neuroimaging research methods have shown brain structural and functional alterations as well as neuroinflammation abnormalities. We believe that open access to data may help fibromyalgia research advance more. Here, we present an open dataset of 33 fibromyalgia female patients and 33 paired healthy controls recruited from a Mexican population. Dataset includes demographic, clinical, behavioural and magnetic resonance imaging (MRI) data. The MRI data consists of: structural (T1- and T2- weighted) and functional (task-based and resting state) sequences. The task was an emotion processing and regulation task based on visual stimuli. The MRI data contained in the repository are unprocessed, presented in Brain Imaging Data Structure (BIDS) format and available on the OpenNeuro platform for future analysis
Componente N400 en dos tareas semánticas
El componente N400 es una fluctuación en el voltaje detectada en el cuero cabelludo
mediante el electroencefalograma (Lopes da Silva, 1993) la cual ha sido ampliamente
estudiada a partir de su descubrimiento en 1980 por Kutas y Hillyard, desde entonces
se ha estado investigando mediante distintas tareas. Formándose un debate en torno a
las características de los estímulos que lo desencadenan (Ibáñez et al, 2006), el tipo de
procesamiento que subyace (Castañeda et al, 1999) y su vinculación con la
comprensión del lenguaje (Kutas & Hillyard), en donde se ha relacionado por un lado
con la memoria semántica (Chwilla et al., 1995; Ibáñez et al., 2006; Ryan et al., 2012) y
por otro lado, con el priming semántico (Quiroz, 2003; Lau et al., 2008; Fernández et al,
2014). A partir de estas premisas, se realizaron dos experimentos relacionados a con
memoria semántica y el priming semántico en una muestra de 13 universitarios, el
primero consistió en una adaptación del paradigma de oraciones creado por Kutas y
Hillyard en 1980, y el segundo del paradigma de relacionamiento semántico con
imágenes (Bobes et al, 1996), cada uno en condiciones congruente e incongruente. A
partir de ello, se obtuvieron resultados conductuales que reflejan una facilidad del
procesamiento del segundo experimento en comparación con el primero, y resultados
relacionados a la amplitud del potencial N400 que sugieren una vinculación de dicho
componente con el priming semántico como primera instancia que lleva a la
comprensión del lenguaje.
Palabras clave: Electroencefalograma, Potenciales Relacionados a Eventos,
Componente N400, Memoria Semántica, Priming Semántico
The Mexican magnetic resonance imaging dataset of patients with cocaine use disorder: SUDMEX CONN
Cocaine use disorder (CUD) is a substance use disorder (SUD) characterized by compulsion to seek, use and abuse of cocaine, with severe health and economic consequences for the patients, their families and society. Due to the lack of successful treatments and high relapse rate, more research is needed to understand this and other SUD. Here, we present the SUDMEX CONN dataset, a Mexican open dataset of 74 CUD patients (9 female) and matched 64 healthy controls (6 female) that includes demographic, cognitive, clinical, and magnetic resonance imaging (MRI) data. MRI data includes: 1) structural (T1-weighted), 2) multishell high-angular resolution diffusion-weighted (DWI-HARDI) and 3) functional (resting state fMRI) sequences. The repository contains unprocessed MRI data available in brain imaging data structure (BIDS) format with corresponding metadata available at the OpenNeuro data sharing platform. Researchers can pursue brain variability between these groups or use a single group for a larger population sample
SUDMEX_CONN: The Mexican dataset of cocaine use disorder patients.
The SUDMEX_CONN is a Mexican open dataset of CUD patients and matched healthy controls that includes demographic, cognitive, clinical and magnetic resonance imaging (MRI) data. The study was done at the National Institute of Psychiatry in Mexico City The MRI sequences are available at https://openneuro.org/datasets/ds003346/versions/1.1.1 If you require more information about data or scales, please contact us. LANIREM (National MRI Laboratory), Institute of Neurobiology, Universidad Nacional Autónoma de México (UNAM), Querétaro, México. Diego Angeles Valdez, M. Sc. [email protected] [email protected] Eduardo A. Garza-Villarreal, M.D., Ph.D. [email protected] [email protected] Updates October 11-12, 2022 The MINI PLUS was coded to reflect all the possible answers we had for questions about substance use as columns. For example, if the patient said to use more than 1 hallucinogen, we would mark the first one in Mini.L1.d1, then d2 is the second hallucinogen, then d3 is the third one. We updated the databases of the variables Addiction Severity Index (ASI), Barratt's Impulsivity Scale version 11 (BIS-11). and Clinical Global Impressions (CGI) Scale.
SUDMEX_CONN: The Mexican dataset of cocaine use disorder patients.
The SUDMEX_CONN is a Mexican open dataset of CUD patients and matched healthy controls that includes demographic, cognitive, clinical and magnetic resonance imaging (MRI) data. The study was done at the National Institute of Psychiatry in Mexico City The MRI sequences are available at https://openneuro.org/datasets/ds003346/versions/1.1.1
SUDMEX_CONN: The Mexican dataset of cocaine use disorder patients.
The SUDMEX_CONN is a Mexican open dataset of CUD patients and matched healthy controls that includes demographic, cognitive, clinical and magnetic resonance imaging (MRI) data. The study was done at the National Institute of Psychiatry in Mexico City The MRI sequences are available at https://openneuro.org/datasets/ds003346/versions/1.1.1 If you require more information about data or scales, please contact us. LANIREM (National MRI Laboratory), Institute of Neurobiology, Universidad Nacional Autónoma de México (UNAM), Querétaro, México. Diego Angeles Valdez, M. Sc. [email protected] [email protected] Eduardo A. Garza-Villarreal, M.D., Ph.D. [email protected] [email protected] Updates October 11, 2022 The MINI PLUS was coded to reflect all the possible answers we had for questions about substance use as columns. For example, if the patient said to use more than 1 hallucinogen, we would mark the first one in Mini.L1.d1, then d2 is the second hallucinogen, then d3 is the third one