An fNIRS dataset for multimodal speech comprehension in normal hearing individuals and cochlear implant users

Understanding cortical processing in cochlear implant (CI) users is crucial for improving speech rehabilitation outcomes. Functional near-infrared spectroscopy (fNIRS) provides a non-invasive, implant-compatible method for assessing cortical activity during speech comprehension. This is a multimodal fNIRS dataset collected from 46 CI users and 26 normal hearing (NH) controls. Participants completed a clinically relevant speech comprehension task using the German Matrix Sentence Test (OLSA) under speech-in-quiet, speech-in-noise, audiovisual speech, and visual speech (i.e., lipreading) conditions. fNIRS recordings covered key cortical regions involved in speech processing, including the prefrontal, auditory, and visual cortices. In addition to fNIRS data, we provide detailed metadata, including patient history, hearing test results, behavioral measures, and spatially registered probe positions. The dataset represents a comprehensive fNIRS resource for investigating multimodal speech unde..., , # An fNIRS dataset for multimodal speech comprehension in normal hearing individuals and cochlear implant users

Dataset DOI: [10.5061/dryad.crjdfn3g9](10.5061/dryad.crjdfn3g9)

## Description of the data and file structure

The dataset is organized according to the Brain Imaging Data Structure v1.10.0 (BIDS) with extensions for NIRS data [1,2].

The main data files are in Shared Near Infrared Spectroscopy Format (SNIRF), stored in (**snirf_local-bids.zip**). Each participant has an individual SNIRF file, and also fields from the BIDS specification. The BIDS fields are replicated from the SNIRF file, which allows relevant behavioral, event, or channel-related data to be parsed without using an SNIRF reader.

Participant-level information is stored in the root directory of the dataset (**participants.tsv**) file, along with an accompanying sidecar (**participants.json**) that provides descriptions of each column. These are top-level files summarizing relevant demographic and audiometric ..., This study adhered to the Declaration of Helsinki and received approval from the local institutional review board (KEK-Bern, BASED-ID 2020-02978). All participants provided written informed consent before their participation. The data does not include information that can be used to identify an individual.

解析人工耳蜗（Cochlear Implant, CI）使用者的皮层加工机制，对提升言语康复效果至关重要。功能近红外光谱（Functional Near-Infrared Spectroscopy, fNIRS）作为一种非侵入性、与植入物兼容的检测技术，可用于评估言语理解过程中的皮层活动。本数据集为多模态功能近红外光谱数据集，采集自46名人工耳蜗使用者与26名正常听力（Normal Hearing, NH）对照者。受试者完成了一项符合临床需求的言语理解任务：采用德语矩阵句子测试（German Matrix Sentence Test, OLSA），分别在安静言语、噪声言语、视听言语及视觉言语（即唇读）四种条件下进行。功能近红外光谱采集覆盖了言语加工相关的关键皮层区域，包括前额叶皮层、听觉皮层与视觉皮层。除功能近红外光谱数据外，本数据集还提供了详细的元数据，包括受试者病史、听力检测结果、行为学指标及空间配准后的探头位置信息。本数据集为探究多模态言语理解（原文此处存在截断）提供了全面的功能近红外光谱资源——# 面向正常听力个体与人工耳蜗使用者的多模态言语理解功能近红外光谱数据集

数据集DOI：[10.5061/dryad.crjdfn3g9](10.5061/dryad.crjdfn3g9)

## 数据与文件结构说明

本数据集遵循脑成像数据结构（Brain Imaging Data Structure, BIDS）v1.10.0标准，并针对近红外光谱数据进行了扩展[1,2]。

核心数据文件采用共享近红外光谱格式（Shared Near Infrared Spectroscopy Format, SNIRF），存储于**snirf_local-bids.zip**压缩包中。每名受试者对应独立的SNIRF文件，同时包含脑成像数据结构规范中的相关字段。这些脑成像数据结构字段从SNIRF文件中复制而来，无需使用SNIRF阅读器即可解析相关行为学、事件或通道相关数据。

受试者层面的信息存储于数据集根目录下的**participants.tsv**文件中，同时附带配套的附属文件**participants.json**，用于说明各列字段的含义。这些顶层文件用于汇总相关人口统计学与听力学（原文此处截断）……本研究遵循《赫尔辛基宣言》，并获得当地伦理审查委员会（KEK-Bern，BASED-ID 2020-02978）的批准。所有受试者在参与研究前均签署了书面知情同意书。本数据集不包含可用于识别个人身份的信息。