Torres-Torres Alma Socorro, Alonso-Valerdi Luz María, Ibarra-Zarate David I, González-Sánchez Andrea
Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Monterrey, N.L., Mexico.
Department of Neurology, University Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Data Brief. 2024 Feb 1;53:110142. doi: 10.1016/j.dib.2024.110142. eCollection 2024 Apr.
The present database contains brain activity of subjective tinnitus sufferers at identifying their sound tinnitus. The main objective of this database is to provide spontaneous Electroencephalographic (EEG) activity at rest, and evoked EEG activity when tinnitus sufferers attempt to identify their sound tinnitus among 54 tinnitus sound examples. For the database, 37 volunteers were recruited: 15 ones without tinnitus (Control Group - CG), and 22 ones with tinnitus (Tinnitus Group - TG). For EEG recording, 30 channels were used to record two conditions: 1) , where the volunteer remained in a state of rest with the open eyes for two minutes; and 2) , where the volunteer must have identified his/her sound stimulus by pressing a key. For the active condition, a sound-tinnitus library was generated in accordance with the most typical acoustic properties of tinnitus. The library consisted in ten pure tones (250 Hz, 500 Hz, 1 kHz, 2 kHz, 3 kHz, 3.5 kHz, 4 kHz, 6 kHz, 8 kHz, 10 kHz), a White Noise (WN), a Narrow Band noise-High frequencies (NBH, 4 kHz-10 kHz), a Narrow Band noise-Medium frequencies (NBM,1 kHz-4 kHz), a Narrow-Band noise Low frequencies (NBL, 250 Hz-1 kHz), ten pure tones combined with WN, ten pure tones superimposed with NBH, ten tones with NBM and ten pure tones combined with NBL. In total, 54 sound-tinnitus were applied for both groups. In the case of CG, volunteers must have identified a sound at 3.5 kHz. In addition to EEG information, a csv-file with audiometric and psychoacoustic information of volunteers is provided. For TG, this information refers to: 1) hearing level, 2) type of tinnitus, 3) tinnitus frequency, 4) tinnitus perception, 5) Hospital Anxiety and Depression Scale (HADS) and 6) Tinnitus Functional Index (TFI). For CG, the information refers to: 1) hearing level, and 2) HADS.
本数据库包含主观性耳鸣患者识别其耳鸣声音时的大脑活动情况。该数据库的主要目的是提供静息状态下的自发脑电图(EEG)活动,以及耳鸣患者在54个耳鸣声音示例中试图识别其耳鸣声音时的诱发EEG活动。为建立该数据库,招募了37名志愿者:15名无耳鸣者(对照组 - CG)和22名有耳鸣者(耳鸣组 - TG)。对于EEG记录,使用30个通道记录两种情况:1)志愿者睁眼静息两分钟的状态;2)志愿者必须通过按键识别出其声音刺激的状态。对于活动状态,根据耳鸣最典型的声学特性生成了一个耳鸣声音库。该库包括十个纯音(分别为250Hz、500Hz、1kHz、2kHz、3kHz、3.5kHz、4kHz、6kHz、8kHz、10kHz)、一个白噪声(WN)、一个高频窄带噪声(NBH,4kHz - 10kHz)、一个中频窄带噪声(NBM,1kHz - 4kHz)、一个低频窄带噪声(NBL,250Hz - 1kHz)、十个与WN组合的纯音、十个与NBH叠加的纯音、十个与NBM组合的纯音以及十个与NBL组合的纯音。两组共应用了54种耳鸣声音。对于CG组,志愿者必须识别出3.5kHz的声音。除了EEG信息外,还提供了一个包含志愿者听力测定和心理声学信息的csv文件。对于TG组,这些信息包括:1)听力水平、2)耳鸣类型、3)耳鸣频率、4)耳鸣感知、5)医院焦虑抑郁量表(HADS)和6)耳鸣功能指数(TFI)。对于CG组,信息包括:1)听力水平和2)HADS。