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Dive into the research topics where Danielle Mathersul is active.

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Featured researches published by Danielle Mathersul.


Journal of Clinical and Experimental Neuropsychology | 2009

Explicit identification and implicit recognition of facial emotions: I. Age effects in males and females across 10 decades.

Leanne M. Williams; Danielle Mathersul; Donna M. Palmer; Ruben C. Gur; Raquel E. Gur; Evian Gordon

A number of psychiatric and neurological disorders are characterized by impairments in facial emotion recognition. Recognition of individual emotions has implicated limbic, basal ganglionic, and frontal brain regions. Since these regions are also implicated in age-related decline and sex differences in emotion processing, an understanding of normative variation is important for assessing deficits in clinical groups. An internet-based test (“WebNeuro”) was administered to 1,000 healthy participants (6 to 91 years, 53% female) to assess explicit identification of basic expressions of emotion (happiness, sadness, fear, anger, disgust, neutral). A subsequent implicit recognition condition was based on a priming protocol, in which explicit identification provided the “study” phase. Responses were most accurate for happiness and slowest for fear in the explicit condition, but least accurate for happiness and fastest for fear in the implicit condition. The effects of age, by contrast, showed a similar pattern for both explicit and implicit conditions, following a nonlinear distribution in which performance improved from childhood through adolescence and early adulthood and declined in later adulthood. Females were better than males at explicit identification of fear in particular. These findings are consistent with the priority of threat-related signals, but indicate opposing biases depending on whether emotion processing is conscious or nonconscious. The lifespan trends in emotion processing over 10 decades point to an interaction of brain-based (maturation, stability, and then atrophy of cortical and subcortical systems) and experiential contributing factors. These findings provide a robust normative platform for assessing clinical groups.


Emotion | 2008

Investigating models of affect: relationships among EEG alpha asymmetry, depression, and anxiety

Danielle Mathersul; Leanne M. Williams; Patrick J. Hopkinson; Andrew H. Kemp

The approach-withdrawal and valence-arousal models both predict that depressive and anxious profiles will be associated with relatively reduced left frontal and increased right frontal activity respectively, while the valence-arousal model also proposes a dissociation by lower and higher right parietotemporal activity, respectively. Recent work further suggests that subtypes of anxiety disorders may be characterized by distinctive patterns of activity depending on their type of arousal (anxious arousal/apprehension). The aim of this study was to investigate the relationships among nonclinical depression/anxiety and lateralized frontal/parietotemporal activity by categorizing participants (N=428) on the basis of both negative mood and alpha EEG. Key findings include: (i) greater right frontal lateralization in anxious participants, symmetrical frontal activity in depressed/comorbid, and left frontal lateralization in healthy controls; (ii) right frontal lateralization in anxious arousal participants, left frontal and right parietotemporal lateralization in anxious apprehension; (iii) bilateral increase in frontal and increased right parietotemporal activity in depressed/comorbid participants. Findings support predictions for frontal but not posterior regions. Grouping on the basis of EEG may not be reciprocally predictive of negative mood groupings, suggesting involvement of additional factors.


Journal of Clinical and Experimental Neuropsychology | 2009

Explicit identification and implicit recognition of facial emotions: II. Core domains and relationships with general cognition

Danielle Mathersul; Donna M. Palmer; Ruben C. Gur; Raquel E. Gur; Nicholas R. Cooper; Evian Gordon; Leanne M. Williams

Both general and social cognition are important in providing endophenotypic markers and predicting real-world functional outcomes of clinical psychiatric disorders. However, to date, focus has been on general cognition, rather than on core domains of social/emotional cognition. This study sought to determine core domains of emotion processing for both explicit identification and implicit recognition and their relationships with core domains of general cognition. Age effects and sex differences were also investigated. A sample of 1,000 healthy individuals (6 to 91 years, 53.5% female) undertook the WebNeuro tests of emotion identification and recognition and tests of general cognitive function. Factor analysis revealed seven core domains of emotion processing: speed of explicit emotion identification, speed of implicit emotion recognition, implicit emotion recognition accuracy, “threat” processing, sadness–disgust identification, “positive emotion” processing, and general “face perception.” Seven corresponding core domains of general cognition were identified: information-processing speed, executive function, sustained attention/vigilance, verbal memory, working-memory capacity, inhibition/impulsivity, and sensorimotor function. Factors of emotion processing generally showed positive associations with those of general cognitive function, suggesting commonality in processing speed in particular. Moreover, age had a consistent nonlinear impact on both emotion processing and general cognitive factors, while sex differences were more specific. These findings contribute to a normative and standardized structure for assessment of emotional and general cognition in clinical groups.


Journal of Clinical and Experimental Neuropsychology | 2013

Understanding advanced theory of mind and empathy in high-functioning adults with autism spectrum disorder

Danielle Mathersul; Skye McDonald; Jacqueline A. Rushby

It has been argued that higher functioning individuals with autism spectrum disorders (ASDs) have specific deficits in advanced but not simple theory of mind (ToM), yet the questionable ecological validity of some tasks reduces the strength of this assumption. The present study employed The Awareness of Social Inference Test (TASIT), which uses video vignettes to assess comprehension of subtle conversational inferences (sarcasm, lies/deception). Given the proposed relationships between advanced ToM and cognitive and affective empathy, these associations were also investigated. As expected, the high-functioning adults with ASDs demonstrated specific deficits in comprehending the beliefs, intentions, and meaning of nonliteral expressions. They also had significantly lower cognitive and affective empathy. Cognitive empathy was related to ToM and group membership whereas affective empathy was only related to group membership.


Physiology & Behavior | 2013

Automatic facial responses to affective stimuli in high-functioning adults with autism spectrum disorder

Danielle Mathersul; Skye McDonald; Jacqueline A. Rushby

Individuals with autism spectrum disorder (ASD) demonstrate atypical behavioural responses to affective stimuli, although the underlying mechanisms remain unclear. Investigating automatic responses to these stimuli may help elucidate these mechanisms. 18 high-functioning adults with ASDs and 18 typically developing controls viewed 54 extreme pleasant (erotica), extreme unpleasant (mutilations), and non-social neutral images from the International Affective Picture System (IAPS). Two-thirds of images received an acoustic startle probe 3s post-picture onset. Facial electromyography (EMG) activity (orbicularis, zygomaticus, corrugator), skin conductance (SCR) and cardiac responses were recorded. The adults with ASDs demonstrated typical affective startle modulation and automatic facial EMG responses but atypical autonomic (SCRs and cardiac) responses, suggesting a failure to orient to, or a deliberate effort to disconnect from, socially relevant stimuli (erotica, mutilations). These results have implications for neural systems known to underlie affective processes, including the orbitofrontal cortex and amygdala.


International Journal of Psychophysiology | 2013

Autonomic arousal explains social cognitive abilities in high-functioning adults with autism spectrum disorder.

Danielle Mathersul; Skye McDonald; Jacqueline A. Rushby

Empirical research into behavioural profiles and autonomic responsivity in individuals with autism spectrum disorders (ASDs) is highly variable and inconsistent. Two preliminary studies of children with ASDs suggest that there may be subgroups of ASDs depending on their resting arousal levels, and that these subgroups show different profiles of autonomic responsivity. The aim of the present study was to determine whether (i) adults with high-functioning ASDs may be separated into subgroups according to variation in resting arousal; and (ii) these ASD arousal subgroups differ in their behavioural profiles for basic emotion recognition, judgements of trustworthiness, and cognitive and affective empathy. Thirty high-functioning adults with ASDs and 34 non-clinical controls participated. Resting arousal was determined as the average skin conductance (SCL) across a 2 min resting period. There was a subgroup of ASD adults with significantly lower resting SCL. These individuals demonstrated poorer emotion recognition, tended to judge faces more negatively, and had atypical relationships between SCL and affective empathy. In contrast, low cognitive empathy was a feature of all ASD adults. These findings have important implications for clinical interventions and future studies investigating autonomic functioning in ASDs.


Evidence-based Complementary and Alternative Medicine | 2016

The Roles of Exercise and Yoga in Ameliorating Depression as a Risk Factor for Cognitive Decline

Danielle Mathersul; Simon Rosenbaum

Currently, there are no effective pharmaceutical treatments to reduce cognitive decline or prevent dementia. At the same time, the global population is aging, and rates of dementia and mild cognitive impairment (MCI) are on the rise. As such, there is an increasing interest in complementary and alternative interventions to treat or reduce the risk of cognitive decline. Depression is one potentially modifiable risk factor for cognitive decline and dementia. Notably, exercise and yoga are two interventions known to both reduce symptoms of depression and improve cognitive function. The current review discusses the efficacy of exercise and yoga to ameliorate depression and thereby reduce the risk of cognitive decline and potentially prevent dementia. Potential mechanisms of change, treatment implications, and future directions are discussed.


Evidence-based Complementary and Alternative Medicine | 2017

A Systematic Review of Intervention Studies Examining Nutritional and Herbal Therapies for Mild Cognitive Impairment and Dementia Using Neuroimaging Methods: Study Characteristics and Intervention Efficacy

Genevieve Z. Steiner; Danielle Mathersul; Freya MacMillan; David Camfield; Nerida L. Klupp; Sai W. Seto; Yong Huang; Mark I. Hohenberg; Dennis Hsu-Tung Chang

Neuroimaging facilitates the assessment of complementary medicines (CMs) by providing a noninvasive insight into their mechanisms of action in the human brain. This is important for identifying the potential treatment options for target disease cohorts with complex pathophysiologies. The aim of this systematic review was to evaluate study characteristics, intervention efficacy, and the structural and functional neuroimaging methods used in research assessing nutritional and herbal medicines for mild cognitive impairment (MCI) and dementia. Six databases were searched for articles reporting on CMs, dementia, and neuroimaging methods. Data were extracted from 21/2,742 eligible full text articles and risk of bias was assessed. Nine studies examined people with Alzheimers disease, 7 MCI, 4 vascular dementia, and 1 all-cause dementia. Ten studies tested herbal medicines, 8 vitamins and supplements, and 3 nootropics. Ten studies used electroencephalography (EEG), 5 structural magnetic resonance imaging (MRI), 2 functional MRI (fMRI), 3 cerebral blood flow (CBF), 1 single photon emission tomography (SPECT), and 1 positron emission tomography (PET). Four studies had a low risk of bias, with the majority consistently demonstrating inadequate reporting on randomisation, allocation concealment, blinding, and power calculations. A narrative synthesis approach was assumed due to heterogeneity in study methods, interventions, target cohorts, and quality. Eleven key recommendations are suggested to advance future work in this area.


Global Advances in Health and Medicine | 2018

Tele-yoga for Chronic Pain: Current Status and Future Directions:

Danielle Mathersul; Louise Mahoney; Peter J. Bayley

Pain is a pervasive, debilitating disorder that is resistant to long-term pharmacological interventions. Although psychological therapies such as cognitive behavior therapy demonstrate moderate efficacy, many individuals continue to have ongoing difficulties following treatment. There is a current trend to establish complementary and integrative health interventions for chronic pain, for which yoga has been found to have exciting potential. Nevertheless, an important consideration within the field is accessibility to adequate care. Telehealth can be used to provide real-time interactive video conferencing leading to increased access to health care for individuals located remotely or who otherwise have difficulty accessing services, perhaps through issues of mobility or proximity of adequate services. This article assesses the current status and feasibility of implementing tele-yoga for chronic pain. Methodological limitations and recommendations for future research are discussed.


Acta Neuropsychiatrica | 2006

11-02 Identifying affective markers within an integrative neuroscience model of depression.

Danielle Mathersul; Andrew H. Kemp; Patrick J. Hopkinson; Evian Gordon

Multidisciplinary efforts have begun to encourage a freer exchange of information – resulting in a more ‘integrative neuroscience’ across disciplines and theoretical models in psychiatry. This symposium outlines the potential insights into major psychiatric disorders from the fi rst entirely standardized and centralized database, which brings together cognitive, affective, brain function and genetic measures. It contains 5000 healthy subjects (6–100 years) and growing psychiatric groups. With these multimodal and standardized data sets, we have identifi ed objective markers that distinguish each disorder and that predict real-life functional outcomes. In this symposium, we outline markers for fi rst-episode schizophrenia, attention defi cit hyperactivity disorder, depression and Alzheimer’s dementia.

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Jacqueline A. Rushby

University of New South Wales

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Skye McDonald

University of New South Wales

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Raquel E. Gur

University of Pennsylvania

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Ruben C. Gur

University of Pennsylvania

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Alana Fisher

University of New South Wales

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