2021-01-012024-05-18https://scholars.lib.ntu.edu.tw/handle/123456789/707609心理韌性係指個體面對重大逆境的復原力，個體經歷人生創傷並捲土重來，安適如常的能力，對於因身心壓力誘發之精神疾病成因、預防及治療扮演著至關重要的角色。本計畫試圖找尋多變項指標並利用基因神經影像技術，剖析心理韌性與大腦功能及行為之間的連結。我們將整合基因體學、表觀遺傳學、蛋白質組學、基因神經影像學、以及神經心理學的方法，開發高度準確的機器學習模型，來區分或預測不同程度、乃至於精神病理狀態的心理韌性。透過結合數位智慧科技(智慧應用程式和虛擬實境)和非侵入性腦刺激(經顱直流電刺激，經顱磁刺激，光生物調節療法)，來達到解構心理韌性及相關障礙成因之目的。這些系統性的方法使我們能夠更深入探討基因、大腦、人口特徵、文化環境、以及社會經濟的相互作用，以對現有的心理韌性假說進行信效度之檢驗，並基於台灣已建立不同群體的大規模韌性腦數據庫，進而提出一個完整的理論，並制訂有效方法干預介入計畫，破譯心理韌性的機制及其干預的有效方法。本計畫針對人類生命過程中走出低潮逆境的應對機制，並釐清壓力與相關心理疾病之因果關係，進一步結合最先進的智慧科技應用程式，結合機器人訓練和大腦電與光之非侵入性刺激介入，提出雙盲臨床試驗之實證證據，兼顧心理健康及精神病理為導向的腦科學研究。了解韌性腦、情緒反應和精神疾病的關係是科學和醫學上最複雜、最困難的挑戰，心理韌性與文化和基因息息相關，因此亟需本土化的原始資料與研究，台灣在腦疾病的研究成果若能有所突破，其應用可以造福到所有華人、乃至於全世界的社會，未來也不容易被歐美超越，因此本整合型計畫屬於國際性且極具前瞻性和影響力的議題。 Psychological resilience refers to the ability to mentally recover from adverse experiences. This ability plays a crucial role in prognosis for stress-related psychiatric disorders as well as the maintenance of mental health amidst societal globalization. In this proposal, we will evaluate multivariate markers including genetic, neuroimaging, and behavioral measures to investigate relationships between psychological resilience traits and brain-gene-behavior interactions. Specifically, we will use machine learning and other computational approaches to integrate these multivariate data and develop predictive models of psychological resilience. In addition, psychiatric disorders are also strongly modulated by social, cultural, and linguistic diversity. Thus, we will obtain a large-scale multi-ethnic Taiwanese database of the above variables. Using this database, we can then deconstruct complex mental resilience into key substrate components. Fundamentally, the derived model(s) will enable enhance our understanding of the mechanics underlying interactions between genes, brains, mental functioning, and sociodemographic backgrounds. This in turn facilitates specific application of information communication and wearable technology (e.g. smartphone application and virtual reality) for monitoring as well as non-invasive brain stimulation (transcranial direct current stimulation, transcranial magnetic stimulation, and photobiomodulation) and personalized (or precision) interventions. Understanding the relationship between brain resilience, cognitive- emotional responses, and psychiatric illness is currently one of the most difficult challenges in science and medicine. In addition, there is a compelling need to empirically evaluate state-of-the-art smart technology applications combining use of robot training and non-invasive brain stimulation interventions for both healthy and clinical populations. We expect our research on resilience in Taiwan to be a frontier research topic and have application not only to the local population but also to the diverse global community.韌性大腦憂鬱表現型非侵入式腦刺激光生物調節療法心理病理主動推理心智健康統計基因影像神經資訊認知虛擬實境智慧應用程式機器學習決策結構與功能連結樂高機器人訓練學習ResilienceBrainDepressionPhenotypeNon-invasive brain stimulationPhotobiomodulationPsychopathologyActive inferenceMental healthStatistical imaging geneticsNeuroinformaticCognitionVirtual RealitySmartphone application development