The effects of torture‐related stressors on long‐term complex post‐traumatic symptoms in South Korean torture survivors

This study explored whether perceived distress from specific stressors during and after torture explain long‐term complex post‐traumatic symptoms of South Korean torture survivors. We conducted a cross‐sectional survey of survivors who had been tortured by the homeland regime from the 1970s to the 2000s. Data from 206 survivors were gathered by key informants using target sampling and snowballing techniques. Project staff designed scales to encompass the specific types of stressors related to torture techniques used in Korea. Frequencies and distress ratings of exposure to torture, post‐torture psychosocial stressors and physical damage related to torture were gathered. Psychological symptoms were assessed by the Impact of Event Scale‐Revised‐Korean version and subscales of the Symptom Checklist 90‐Revised‐Korean version. Perceived distress from torture stressors was mainly divided into factors representing physical, psychological and deprivation torture by adapting a principal axis factor analysis. Hierarchical regression analyses showed that distress from psychological torture explained post‐traumatic stress disorder (PTSD) and that distress from deprivation explained PTSD and anxiety after controlling for demographic variables, psychological preparedness, time span since torture and distress from trauma other than torture. Among post‐torture stressors, distress from physical damage related to torture and social exclusion were strong indicators of complex symptoms.     

影响群体道歉有效性的因素

影响群体道歉有效性的因素是多方面的。对侵犯群体而言, 有效的群体道歉需要在言语表达中包含承认错误、承担责任、表达懊悔、做出承诺等内容, 需要讲究群体道歉的行为策略, 同时还应该关注道歉的内部动机对语言表达与行为方式的影响。对受害群体来讲, 侵犯群体道歉的有效性在于道歉本身缓解了其愤怒情绪, 满足了其自尊和期望等心理需求, 同时还要受到他们对道歉真诚性知觉程度的影响。除此之外, 群体道歉还会受到群际关系质量、冲突程度、文化信念等外部因素的影响。在今后的研究中, 应该继续尝试整合群体道歉的过程机制, 丰富群体道歉有效性的考察指标, 发挥道歉在社会生活领域中的积极作用。     

Ethics,Brain Injuries,and Sports: Prohibition,Reform, and Prudence

Abstract

In this paper, we explore the issue of the elimination of sports, or elements of sports, that present a high risk of brain injury. In particular, we critically examine two elements of Angelo Corlett’s and Pam Sailors’ arguments for the prohibition of football and Nicholas Dixon’s claim for the reformation of boxing to eliminate blows to the head based on (a) the empirical assumption of an essential or causal connection between brain injuries incurred in football and the development of a degenerative brain disease known as chronic traumatic encephalopathy (CTE); and (b) John Stuart Mill’s rejection of consensual domination (ie voluntary enslavement). We present four arguments to contest the validity of Corlett, Dixon’s and Sailor’s positions. Specifically, we argue that (i) certain autonomy-based arguments undermine paternalist arguments for reform; (ii) the nature of the goods people pursue in their lives might justify their foregoing (degrees of) future autonomy; (iii) Mill’s argument against consensual domination draws on ambiguous and arbitrary distinctions; (iv) the lack of consensus and empirical evidence regarding CTE arising from brain injuries in sport underdetermines calls for reform. We conclude that these proposals for reforming or eliminating sports with high risks of brain injuries are not well founded.     

Two Kinds of Brain Injury in Sport

Abstract

After years of skepticism and denials regarding the significance of concussions in sport, the issue is now front and center. This is fitting, given that the impact of concussions in sport is profound. Thus, it is with trepidation that one ventures to direct some attention onto brain injuries other than concussions incurred through sport. Given a closer look, however, it may be that considering various kinds of brain injuries, with different causes, will help us better understand the range and seriousness of brain injuries in sport. My focus is on emotional trauma in sport. I argue that severe emotional pathology is evidence of underlying brain injury. Any attempt to minimize the significance of emotional disturbance that results from emotional trauma as ‘merely’ psychological in nature is thus misguided.     

Cognitive and emotional processes during dreaming: a neuroimaging view

Dream is a state of consciousness characterized by internally-generated sensory, cognitive and emotional experiences occurring during sleep. Dream reports tend to be particularly abundant, with complex, emotional, and perceptually vivid experiences after awakenings from rapid eye movement (REM) sleep. This is why our current knowledge of the cerebral correlates of dreaming, mainly derives from studies of REM sleep. Neuroimaging results show that REM sleep is characterized by a specific pattern of regional brain activity. We demonstrate that this heterogeneous distribution of brain activity during sleep explains many typical features in dreams. Reciprocally, specific dream characteristics suggest the activation of selective brain regions during sleep. Such an integration of neuroimaging data of human sleep, mental imagery, and the content of dreams is critical for current models of dreaming; it also provides neurobiological support for an implication of sleep and dreaming in some important functions such as emotional regulation.     

Bidirectional lexical-gustatory synesthesia

In developmental lexical–gustatory synesthesia, specific words (inducers) can trigger taste perceptions (concurrents) and these synesthetic associations are generally stable. We describe a case of multilingual lexical–gustatory synesthesia for whom some synesthesias were bidirectional as some tastes also triggered auditory word associations. Evoked concurrents could be gustatory but also tactile sensations. In addition to words and pseudowords, many voices were effective inducers, suggesting increased connections between cortical taste areas and both voice-selective and language-selective areas. Lasting changes in some evoked tastes occurred during childhood suggesting that some plasticity can be present after the initial learning of associations. Inducers were often linked to taste concurrents phonologically or semantically, but also through identifiable childhood episodes (persons or events). Several inducers were phonologically linked to episodic inducers suggesting a process of secondary acquisition for many inducers. Implications of these observations are discussed.     

Role of cerebellum in fine speech control in childhood: persistent dysarthria after surgical treatment for posterior fossa tumour

Dysarthria following surgical resection of childhood posterior fossa tumour (PFT) is most commonly documented in a select group of participants with mutism in the acute recovery phase, thus limiting knowledge of post-operative prognosis for this population of children as a whole. Here we report on the speech characteristics of 13 cases seen long-term after surgical treatment for childhood PFT, unselected for the presence of post-operative mutism (mean time post-surgery = 6y10 m, range 1;4-12;6 years, two had post-operative mutism), and examine factors affecting outcome. Twenty-six age- and sex- matched healthy controls were recruited for comparison. Participants in both groups had speech assessments using detailed perceptual and acoustic methods. Over two-thirds of the group (69%) with removal of PFT had a profile of typically mild dysarthria. Prominent speech deficits included consonant imprecision, reduced rate, monopitch and monoloudness. We conclude that speech deficits may persist even up to 10 years post-surgery in participants who have not shown mutism in the acute phase. Of cases with unilateral lesions, poorer outcomes were associated with right cerebellar tumours compared to left, consistent with the notion based on adult data that speech is controlled by reciprocal right cerebellar/left frontal interactions. These results confirm the important role of the cerebellum in the control of fine speech movements in children.     

Conduction aphasia, sensory-motor integration, and phonological short-term memory - an aggregate analysis of lesion and fMRI data

Conduction aphasia is a language disorder characterized by frequent speech errors, impaired verbatim repetition, a deficit in phonological short-term memory, and naming difficulties in the presence of otherwise fluent and grammatical speech output. While traditional models of conduction aphasia have typically implicated white matter pathways, recent advances in lesions reconstruction methodology applied to groups of patients have implicated left temporoparietal zones. Parallel work using functional magnetic resonance imaging (fMRI) has pinpointed a region in the posterior most portion of the left planum temporale, area Spt, which is critical for phonological working memory. Here we show that the region of maximal lesion overlap in a sample of 14 patients with conduction aphasia perfectly circumscribes area Spt, as defined in an aggregate fMRI analysis of 105 subjects performing a phonological working memory task. We provide a review of the evidence supporting the idea that Spt is an interface site for the integration of sensory and vocal tract-related motor representations of complex sound sequences, such as speech and music and show how the symptoms of conduction aphasia can be explained by damage to this system.     

Understanding Motor Awareness Through Normal and Pathological Behavior

ABSTRACT— Data on patients with localized brain damage and on neurologically intact subjects show that normal motor control depends on the functionality of a chain of neurobiological events. These events, through the activation of internal representations of the desired, predicted, and actual condition of one's body with respect to the external world, contribute to the construction of conscious knowledge of voluntary actions and to self-awareness.     

Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images

Alzheimer’s disease, the most common form of dementia is a neurodegenerative brain order that has currently no cure for it. Hence, early diagnosis of such disease using computer-aided systems is a subject of great importance and extensive research amongst researchers. Nowadays, deep learning or particularly convolutional neural network (CNN) is getting more attention due to its state-of-the-art performances in variety of computer vision tasks such as visual object classification, detection and segmentation. Several recent studies, that have used brain MRI scans and deep learning have shown promising results for diagnosis of Alzheimer’s disease. However, most common issue with deep learning architectures such as CNN is that they require large amount of data for training. In this paper, a mathematical model P_FS_EC_TL based on transfer learning is used in which a CNN architecture, VGG-16 trained on ImageNet dataset is used as a feature extractor for the classification task. Experimentation is performed on data collected from Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. The accuracy of the 3-way classification using the described method is 95.73% for the validation set.