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Douglass H, Lowman J, Mirakhur Z. Unlocking Insights: Exploring the Profiles of School-Based Telefacilitators. Lang Speech Hear Serv Sch 2024; 55:1167-1178. [PMID: 39366009 DOI: 10.1044/2024_lshss-23-00193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2024] Open
Abstract
PURPOSE School-based telefacilitators are critical yet underresearched members of telepractice programs. They are the face of the telepractice program and are often telepractice champions in their communities. However, we have little research explaining the typical profile of telefacilitators, making it more difficult to identify personnel characteristics that contribute to the implementation of sustainable telepractice programs. The purpose of this study was to describe the typical profile and preparation of school-based telefacilitators for physical, occupational, and speech therapy in the United States. METHOD A cross-sectional survey gathered 21 telefacilitator responses about their primary job title, preparation, confidence, and basic demographics. Survey recruitment followed an adaptive sampling method with three phases: stratified random sampling, purposive sampling, and targeted convenience sampling. Results were analyzed using frequency counts and descriptive statistics where appropriate. RESULTS Most respondents held the primary job title of paraprofessional, but a diverse range of titles were reported, including superintendents and directors of special education. Half of the respondents received various methods of formal training for the role, whereas the other half were self-taught. Overall levels of confidence in job performance were high, yet self-taught telefacilitators felt that lack of training negatively impacted their performance. Most respondents had a bachelor's degree or higher. CONCLUSIONS There is a high degree of variability in the profile and preparation of telefacilitators. Inconsistency in terminology and lack of agreed-upon job responsibilities are significant barriers to studying the role of telefacilitators and the ability to plan telepractice staffing needs adequately. Clinical implications and opportunities for future investigation are highlighted. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.27115216.
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Affiliation(s)
- Hannah Douglass
- Department of Rehabilitation Sciences, University of Kentucky, Lexington
- Department of Educational Policy Studies & Evaluation, University of Kentucky, Lexington
| | - Joneen Lowman
- Department of Rehabilitation Sciences, University of Kentucky, Lexington
| | - Zitsi Mirakhur
- Department of Educational Policy Studies & Evaluation, University of Kentucky, Lexington
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Tan H, Zeng X, Ni J, Liang K, Xu C, Zhang Y, Wang J, Li Z, Yang J, Han C, Gao Y, Yu X, Han S, Meng F, Ma Y. Intracranial EEG signals disentangle multi-areal neural dynamics of vicarious pain perception. Nat Commun 2024; 15:5203. [PMID: 38890380 PMCID: PMC11189531 DOI: 10.1038/s41467-024-49541-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 06/07/2024] [Indexed: 06/20/2024] Open
Abstract
Empathy enables understanding and sharing of others' feelings. Human neuroimaging studies have identified critical brain regions supporting empathy for pain, including the anterior insula (AI), anterior cingulate (ACC), amygdala, and inferior frontal gyrus (IFG). However, to date, the precise spatio-temporal profiles of empathic neural responses and inter-regional communications remain elusive. Here, using intracranial electroencephalography, we investigated electrophysiological signatures of vicarious pain perception. Others' pain perception induced early increases in high-gamma activity in IFG, beta power increases in ACC, but decreased beta power in AI and amygdala. Vicarious pain perception also altered the beta-band-coordinated coupling between ACC, AI, and amygdala, as well as increased modulation of IFG high-gamma amplitudes by beta phases of amygdala/AI/ACC. We identified a necessary combination of neural features for decoding vicarious pain perception. These spatio-temporally specific regional activities and inter-regional interactions within the empathy network suggest a neurodynamic model of human pain empathy.
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Affiliation(s)
- Huixin Tan
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Xiaoyu Zeng
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Jun Ni
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Kun Liang
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Cuiping Xu
- Department of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yanyang Zhang
- Department of Neurosurgery, Chinese PLA General Hospital, Beijing, China
| | - Jiaxin Wang
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Zizhou Li
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Jiaxin Yang
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Chunlei Han
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuan Gao
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xinguang Yu
- Department of Neurosurgery, Chinese PLA General Hospital, Beijing, China
| | - Shihui Han
- School of Psychological and Cognitive Sciences, PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Fangang Meng
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- Chinese Institute for Brain Research, Beijing, China.
| | - Yina Ma
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing, China.
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China.
- Chinese Institute for Brain Research, Beijing, China.
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