Behavioral and neuroanatomical correlates of facial emotion processing in post-stroke depression

IF 3.4 2区 医学 Q2 NEUROIMAGING Neuroimage-Clinical Pub Date : 2024-01-01 DOI:10.1016/j.nicl.2024.103586
Janusz L Koob , Maximilian Gorski , Sebastian Krick , Maike Mustin , Gereon R. Fink , Christian Grefkes , Anne K. Rehme
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Abstract

Background

Emotion processing deficits are known to accompany depressive symptoms and are often seen in stroke patients. Little is known about the influence of post-stroke depressive (PSD) symptoms and specific brain lesions on altered emotion processing abilities and how these phenomena develop over time. This potential relationship may impact post-stroke rehabilitation of neurological and psychosocial function. To address this scientific gap, we investigated the relationship between PSD symptoms and emotion processing abilities in a longitudinal study design from the first days post-stroke into the early chronic phase.

Methods

Twenty-six ischemic stroke patients performed an emotion processing task on videos with emotional faces ('happy,' 'sad,' 'anger,' 'fear,' and 'neutral') at different intensity levels (20%, 40%, 60%, 80%, 100%). Recognition accuracies and response times were measured, as well as scores of depressive symptoms (Montgomery-Åsberg Depression Rating Scale). Twenty-eight healthy participants matched in age and sex were included as a control group. Whole-brain support-vector regression lesion-symptom mapping (SVR-LSM) analyses were performed to investigate whether specific lesion locations were associated with the recognition accuracy of specific emotion categories.

Results

Stroke patients performed worse in overall recognition accuracy compared to controls, specifically in the recognition of happy, sad, and fearful faces. Notably, more depressed stroke patients showed an increased processing towards specific negative emotions, as they responded significantly faster to angry faces and recognized sad faces of low intensities significantly more accurately. These effects obtained for the first days after stroke partly persisted to follow-up assessment several months later. SVR-LSM analyses revealed that inferior and middle frontal regions (IFG/MFG) and insula and putamen were associated with emotion-recognition deficits in stroke. Specifically, recognizing happy facial expressions was influenced by lesions affecting the anterior insula, putamen, IFG, MFG, orbitofrontal cortex, and rolandic operculum. Lesions in the posterior insula, rolandic operculum, and MFG were also related to reduced recognition accuracy of fearful facial expressions, whereas recognition deficits of sad faces were associated with frontal pole, IFG, and MFG damage.

Conclusion

PSD symptoms facilitate processing negative emotional stimuli, specifically angry and sad facial expressions. The recognition accuracy of different emotional categories was linked to brain lesions in emotion-related processing circuits, including insula, basal ganglia, IFG, and MFG. In summary, our study provides support for psychosocial and neural factors underlying emotional processing after stroke, contributing to the pathophysiology of PSD.

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中风后抑郁症患者面部情绪处理的行为和神经解剖相关性
背景众所周知,情绪处理障碍伴随着抑郁症状,而且经常见于中风患者。关于卒中后抑郁症(PSD)症状和特定脑损伤对情感处理能力改变的影响,以及这些现象如何随时间发展,人们知之甚少。这种潜在的关系可能会影响中风后神经和社会心理功能的康复。为了弥补这一科学空白,我们采用纵向研究设计调查了 PSD 症状与情绪处理能力之间的关系,研究范围从脑卒中后的最初几天到早期慢性期。方法26 名缺血性脑卒中患者在不同强度水平(20%、40%、60%、80%、100%)的情绪面孔("快乐"、"悲伤"、"愤怒"、"恐惧 "和 "中性")视频上进行情绪处理任务。对识别准确率和反应时间以及抑郁症状评分(蒙哥马利-奥斯伯格抑郁评分量表)进行了测量。对照组包括 28 名年龄和性别匹配的健康参与者。结果 与对照组相比,脑卒中患者的总体识别准确率较低,尤其是在识别快乐、悲伤和恐惧的面孔方面。值得注意的是,抑郁程度较高的中风患者对特定负面情绪的处理能力更强,因为他们对愤怒面孔的反应明显更快,对低强度悲伤面孔的识别也明显更准确。这些在中风后最初几天获得的效应部分持续到几个月后的随访评估中。SVR-LSM 分析表明,下额区和中额区(IFG/MFG)以及岛叶和丘脑与中风后的情绪识别障碍有关。具体来说,识别快乐的面部表情受到前脑岛、丘脑、IFG、MFG、眶额皮层和喙突的影响。后脑岛、杏仁核和MFG的病变也与恐惧面部表情识别准确率的降低有关,而悲伤面部表情的识别障碍则与额极、IFG和MFG的损伤有关。不同情绪类别的识别准确性与情绪相关处理回路的脑损伤有关,包括岛叶、基底节、IFG 和 MFG。总之,我们的研究为中风后情绪处理的社会心理和神经因素提供了支持,有助于 PSD 的病理生理学。
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来源期刊
Neuroimage-Clinical
Neuroimage-Clinical NEUROIMAGING-
CiteScore
7.50
自引率
4.80%
发文量
368
审稿时长
52 days
期刊介绍: NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging. The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.
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