目標(biāo)和宗旨

彭玉佳研究員領(lǐng)導(dǎo)的抑郁與焦慮障礙計(jì)算神經(jīng)實(shí)驗(yàn)室（Depression & Anxiety Computational Neuroscience Lab，DACN）主要聚焦于臨床心理學(xué)的基礎(chǔ)研究，并結(jié)合認(rèn)知神經(jīng)和人工智能的交叉研究，致力于探究抑郁和焦慮障礙的心理與神經(jīng)機(jī)制以及治療方法。

研究方法

  1. 行為學(xué)手段，包括心理物理學(xué)，眼動(dòng)技術(shù)
  2. 腦成像，包括腦電，核磁共振成像，腦磁圖和近紅外成像
  3. 問(wèn)卷量表，線(xiàn)上調(diào)查和實(shí)驗(yàn)
  4. 計(jì)算建模，機(jī)器學(xué)習(xí)

研究?jī)?nèi)容

  1. 抑郁與焦慮障礙的認(rèn)知神經(jīng)機(jī)制。當(dāng)前科學(xué)界對(duì)于抑郁癥和焦慮癥的發(fā)展機(jī)制還存在很多未知，難以實(shí)現(xiàn)精神疾病的早期診斷和預(yù)測(cè)。社交恐懼癥是焦慮癥中一個(gè)重要的分支，體現(xiàn)為對(duì)于社交行為和場(chǎng)合的極度焦慮和回避，嚴(yán)重影響了病人的正常工作和生活，且為病人就醫(yī)和尋求治療帶來(lái)了極大的阻礙，從而形成一個(gè)惡性循環(huán)。社交恐懼癥處于多種疾病交叉的中心，具有復(fù)雜的認(rèn)知、情緒和行為的個(gè)體差異。然而，對(duì)于社交恐懼的理解還存在很多未知，并忽視了同樣重要的且包含大量社會(huì)信息的身體運(yùn)動(dòng)和社交運(yùn)動(dòng)。實(shí)驗(yàn)室結(jié)合心理物理學(xué)、眼動(dòng)捕捉、腦成像以及生理信號(hào)記錄，從縱向的時(shí)間維度和橫向的多數(shù)據(jù)維度，研究社交恐懼病人對(duì)于運(yùn)動(dòng)中社會(huì)信息的加工特異性。
  2. 抑郁與焦慮障礙的縱向發(fā)展機(jī)制。從青春期至成年的過(guò)渡時(shí)期，該人生階段伴隨著前所未有的挑戰(zhàn)、生活壓力及人際關(guān)系，同時(shí)處于情緒和焦慮障礙發(fā)病的高峰時(shí)期。實(shí)驗(yàn)室主要關(guān)注大腦活動(dòng)和情緒障礙癥狀維度隨時(shí)間變化的關(guān)系。注重時(shí)間維度上的縱向追蹤，探究從青春期至成年期的發(fā)病誘因和神經(jīng)發(fā)展機(jī)制，以及環(huán)境和家庭因素對(duì)于情緒、認(rèn)知和神經(jīng)網(wǎng)絡(luò)的調(diào)節(jié)。
  3. 跨精神疾病的認(rèn)知及情緒加工研究。目前對(duì)于精神疾病的研究大多局限于離散的DSM-V診斷類(lèi)別，而該分類(lèi)診斷系統(tǒng)導(dǎo)致了精神疾病間的共病性和異質(zhì)性，為研究的進(jìn)一步推進(jìn)帶來(lái)困難。以孤獨(dú)癥舉例，病人常常并發(fā)抑郁癥和焦慮癥的癥狀，這對(duì)臨床診斷和開(kāi)發(fā)有效的治療方案帶來(lái)了很多挑戰(zhàn)。聚焦于孤獨(dú)癥和社交恐懼癥群體，實(shí)驗(yàn)室目標(biāo)深入推進(jìn)跨診斷類(lèi)別的認(rèn)知和情緒加工層面的比較，推進(jìn)個(gè)體差異的理論研究和個(gè)性化治療的應(yīng)用研究，系統(tǒng)探究孤獨(dú)癥和社交恐懼癥在運(yùn)動(dòng)加工和社會(huì)認(rèn)知方面的交叉和差異。
  4. 計(jì)算建模在臨床心理學(xué)研究中的應(yīng)用。通過(guò)計(jì)算模型和數(shù)據(jù)挖掘，來(lái)建模臨床病人的認(rèn)知特點(diǎn)，比較病人與常人的認(rèn)知行為差異，理解精神疾病背后的機(jī)制，預(yù)期實(shí)現(xiàn)基于多維度數(shù)據(jù)的診斷和分類(lèi)，以及發(fā)病的早期預(yù)測(cè)。

公眾號(hào)

科研隊(duì)伍

負(fù)責(zé)人

彭玉佳 ([email protected], www.yujiapeng.com)

博士生

王愉茜 ([email protected])

科研助理

路迪 ([email protected])

碩士生

李自立 ([email protected])

江欣 ([email protected])

彭旱雨 ([email protected])

代表性論文

Peng, Y. *, Knotts, J. D. *, Young, K. S., Bookheimer, S. Y., Nusslock, R., Zinbarg, R. E., ... & Craske, M. G. # (2022). Threat neurocircuitry predicts the development of anxiety and depression symptoms in a longitudinal study. Biological psychiatry: cognitive neuroscience and neuroimaging. https://doi.org/10.1016/j.bpsc.2021.12.013

Peng, Y.*, Knotts, J.D.*#, Taylor, C.T., Craske, M.G., Stein, M.B., Bookheimer, S., Young, K.S., Simmons, A.N., Yeh, H., Ruiz, J., Paulus, P.M. (2021). Failure to identify robust latent variables of positive or negative valence processing across units of analysis. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 6(5), 518-526.

Shu, T.#, Peng, Y., Zhu, S., & Lu, H. (2021). A unified psychological space for human perception of physical and social events. Cognitive Psychology. 128. 101398.

Peng, Y. #, Lu, H., & Johnson, S. P. (2021). Infant perception of causal motion produced by humans and inanimate objects. Infant Behavior and Development, 64, 101615.

Peng, Y. #, Lee, H., Shu, T., & Lu, H. (2020). Exploring biological motion perception in two-stream convolutional neural networks. Vision Research, 178, 28-40.

Chiang J.N. #, Peng, Y., Lu, H., Holyoak, K.J., & Monti, M.M. (2020). Distributed code for semantic relations predicts neural activity during analogical reasoning. Journal of Cognitive Neuroscience, 1-13.

Peng, Y. #, Ichien, N., & Lu, H. (2020). Causal actions enhance perception of continuous body movements. Cognition, 194, 104060,

Ogren, M.#, Kaplan, B., Peng, Y., Johnson, K. L., & Johnson, S. P. (2019). Motion or emotion: Infants discriminate emotional biological motion based on low-level visual information. Infant Behavior and Development, 57, 101324.

Tsang, T., Ogren, M., Peng, Y., Nguyen, B., Johnson, K.L. & Johnson S.P. # (2018). Infant perception of sex differences in biological motion displays. Journal of Experimental Child Psychology, 173, 338–350.

Keane, B. P.*, Peng, Y.*, Demmin, D., Silverstein, S. M., & Lu, L. (2018). Intact perception of coherent motion, dynamic rigid form, and biological motion in chronic schizophrenia. Psychiatry Research, 268, 53-59.

Shu, T.*#, Peng, Y.*, Fan, L., Zhu, S., & Lu, H. (2017). Perception of human interaction based on motion trajectories: from aerial videos to decontextualized animations. Topics in Cognitive Science, 10(1), 225-241.

Peng, Y. #, Thurman, S., & Lu, H. (2017). Causal action: A fundamental constraint on perception and inference about body movements. Psychological Science, 28(6), 798-807.

van Boxtel, J. #, Peng, Y., Su, J., & Lu, H. (2016). Individual differences in high-level biological motion tasks correlate with autistic traits. Vision Research, 141, 136-144.

Chen, J., Yu, Q., Zhu, Z., Peng, Y., & Fang, F.# (2016). Spatial summation revealed in the earliest visual evoked component C1 and the effect of attention on its linearity. Journal of Neurophysiology, 115(1), 500-509.

Chen, J., He, Y., Zhu, Z., Zhou, T., Peng, Y., Zhang, X., & Fang, F.# (2014). Attention-dependent early cortical suppression contributes to crowding. The Journal of Neuroscience, 34(32), 10465-10474.

Lu, J. *, & Peng, Y.*# (2014). Brain-computer interface for cyberpsychology: components, methods, and applications. International Journal of Cyber Behavior, Psychology and Learning (IJCBPL), 4(1), 1-14.