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Dive into the research topics where Matthew Howard is active.

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Featured researches published by Matthew Howard.


Neuroreport | 2000

Convergent neuroanatomical and behavioural evidence of an amygdala hypothesis of autism

Matthew Howard; Patricia E. Cowell; Jill Boucher; Paul Broks; Andrew R. Mayes; Annette Farrant; Nick S. Roberts

In this study we report a convergence of behavioural and neuroanatomical evidence in support of an amygdala hypothesis of autism. We find that people with high-functioning autism (HFA) show neuropsychological profiles characteristic of the effects of amygdala damage, in particular selective impairment in the recognition of facial expressions of fear, perception of eye-gaze direction, and recognition memory for faces. Using quantitative magnetic resonance (MR) image analysis techniques, we find that the same individuals also show abnormalities of medial temporal lobe (MTL) brain structure, notably bilaterally enlarged amygdala volumes. These results combine to suggest that developmental malformation of the amygdala may underlie the social-cognitive impairments characteristic of HFA. This malformation may reflect incomplete neuronal pruning in early development.


NeuroImage | 2002

Voxel-Based Morphometry Reveals Increased Gray Matter Density in Broca's Area in Male Symphony Orchestra Musicians

Vanessa Sluming; T R Barrick; Matthew Howard; Enis Cezayirli; Andrew R. Mayes; Neil Roberts

Brocas area is a major neuroanatomical substrate for spoken language and various musically relevant abilities, including visuospatial and audiospatial localization. Sight reading is a musician-specific visuospatial analysis task, and spatial ability is known to be amenable to training effects. Musicians have been reported to perform significantly better than nonmusicians on spatial ability tests, which is supported by our findings with the Benton judgement of line orientation (JOL) test (P < 0.001). We hypothesised that use-dependent adaptation would lead to increased gray matter density in Brocas area in musicians. Voxel-based morphometry (VBM) and stereological analyses were applied to high-resolution 3D MR images in male orchestral musicians (n = 26) and sex, handedness, and IQ-matched nonmusicians (n = 26). The wide age range (26 to 66 years) of volunteers permitted a secondary analysis of age-related effects. VBM with small volume correction (SVC) revealed a significant (P = 0.002) region of increased gray matter in Brocas area in the left inferior frontal gyrus in musicians. We observed significant age-related volume reductions in cerebral hemispheres, dorsolateral prefrontal cortex subfields bilaterally and gray matter density in the left inferior frontal gyrus in controls but not musicians; a positive correlation between JOL test score and age in musicians but not controls; a positive correlation between years of playing and the volume of gray matter in a significant region identified by VBM in under-50-year-old musicians. We suggest that orchestral musical performance promotes use-dependent retention, and possibly expansion, of gray matter involving Brocas area and that this provides further support for shared neural substrates underpinning expressive output in music and language.


NeuroImage | 2002

Voxel-based morphometric comparison of hippocampal and extrahippocampal abnormalities in patients with left and right hippocampal atrophy.

Simon S. Keller; Clare E. Mackay; T R Barrick; Udo Wieshmann; Matthew Howard; Neil Roberts

We used voxel-based morphometry (VBM), an automatic whole-brain MR image analysis technique, to investigate gray matter abnormalities in patients with temporal lobe epilepsy (TLE), in whom hippocampal atrophy (HA) was demonstrated by application of the Cavalieri method of modern design stereology. VBM results (P < 0.05, corrected) indicated preferential gray matter concentration (GMC) reduction in anterior hippocampus in patients with left HA and posterior hippocampus in patients with right HA. GMC reduction was also found in right dorsal prefrontal cortex in left and right HA patients. Prefrontal atrophy may be due to epileptiform excitotoxic discharges from the reciprocally connected pathological hippocampus, and may be the underlying biological cause for executive dysfunction in patients with TLE. GMC excess in ipsilateral parahippocampal, cerebellar, and pericallosal regions was common to both left and right HA groups relative to controls, and is hypothesized to reflect diminished gray-white matter demarcation, underlying white matter atrophy, or structural displacement due to cerebrospinal fluid expansion. However, bilateral temporal lobe GMC excess was observed in left HA patients, while ipsilateral temporal lobe GMC excess was observed in right HA patients. This work demonstrates methodological consistency between automated VBM and manual stereological analysis of the hippocampus in group comparisons, indicates widespread extrahippocampal gray matter abnormalities in unilateral HA, and suggests that there may be inherent differences in the effect of TLE on temporal lobe structures depending on the side of HA.


NeuroImage | 2010

Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes.

Andre F. Marquand; Matthew Howard; Michael Brammer; Carlton Chu; Steven J. Coen; Janaina Mourão-Miranda

Supervised machine learning (ML) algorithms are increasingly popular tools for fMRI decoding due to their predictive capability and their ability to capture information encoded by spatially correlated voxels. In addition, an important secondary outcome is a multivariate representation of the pattern underlying the prediction. Despite an impressive array of applications, most fMRI applications are framed as classification problems and predictions are limited to categorical class decisions. For many applications, quantitative predictions are desirable that more accurately represent variability within subject groups and that can be correlated with behavioural variables. We evaluate the predictive capability of Gaussian process (GP) models for two types of quantitative prediction (multivariate regression and probabilistic classification) using whole-brain fMRI volumes. As a proof of concept, we apply GP models to an fMRI experiment investigating subjective responses to thermal pain and show GP models predict subjective pain ratings without requiring anatomical hypotheses about functional localisation of relevant brain processes. Even in the case of pain perception, where strong hypotheses do exist, GP predictions were more accurate than any region previously demonstrated to encode pain intensity. We demonstrate two brain mapping methods suitable for GP models and we show that GP regression models outperform state of the art support vector- and relevance vector regression. For classification, GP models perform categorical prediction as accurately as a support vector machine classifier and furnish probabilistic class predictions.


Frontiers in Aging Neuroscience | 2015

Bone mineral density, adiposity, and cognitive functions

Hamid R. Sohrabi; Kristyn A. Bates; Michael Weinborn; Romola S. Bucks; Stephanie R. Rainey-Smith; Mark Rodrigues; Sabine M. Bird; Belinda M. Brown; John Beilby; Matthew Howard; Arthur Criddle; Megan Wraith; Kevin Taddei; Georgia Martins; Athena Paton; Tejal Shah; Satvinder S. Dhaliwal; Pankaj D. Mehta; Jonathan K. Foster; Ian James Martins; Nicola T. Lautenschlager; F.L. Mastaglia; Simon M. Laws; Ralph N. Martins

Cognitive decline and dementia due to Alzheimers disease (AD) have been associated with genetic, lifestyle, and environmental factors. A number of potentially modifiable risk factors should be taken into account when preventive or ameliorative interventions targeting dementia and its preclinical stages are investigated. Bone mineral density (BMD) and body composition are two such potentially modifiable risk factors, and their association with cognitive decline was investigated in this study. 164 participants, aged 34–87 years old (62.78 ± 9.27), were recruited for this longitudinal study and underwent cognitive and clinical examinations at baseline and after 3 years. Blood samples were collected for apolipoprotein E (APOE) genotyping and dual energy x-ray absorptiometry (DXA) was conducted at the same day as cognitive assessment. Using hierarchical regression analysis, we found that BMD and lean body mass, as measured using DXA were significant predictors of episodic memory. Age, gender, APOE status, and premorbid IQ were controlled for. Specifically, the List A learning from California Verbal Learning Test was significantly associated with BMD and lean mass both at baseline and at follow up assessment. Our findings indicate that there is a significant association between BMD and lean body mass and episodic verbal learning. While the involvement of modifiable lifestyle factors in human cognitive function has been examined in different studies, there is a need for further research to understand the potential underlying mechanisms.


Neuropsychologia | 2006

Neural correlates of imagined and synaesthetic colours

Anina N. Rich; Mark A. Williams; Aina Puce; Ari Syngeniotis; Matthew Howard; Francis McGlone; Jason B. Mattingley

The experience of colour is a core element of human vision. Colours provide important symbolic and contextual information not conveyed by form alone. Moreover, the experience of colour can arise without external stimulation. For many people, visual memories are rich with colour imagery. In the unusual phenomenon of grapheme-colour synaesthesia, achromatic forms such as letters, words and numbers elicit vivid experiences of colour. Few studies, however, have examined the neural correlates of such internally generated colour experiences. We used functional magnetic resonance imaging (fMRI) to compare patterns of cortical activity for the perception of external coloured stimuli and internally generated colours in a group of grapheme-colour synaesthetes and matched non-synaesthetic controls. In a voluntary colour imagery task, both synaesthetes and non-synaesthetes made colour judgements on objects presented as grey scale photographs. In a synaesthetic colour task, we presented letters that elicited synaesthetic colours, and asked participants to perform a localisation task. We assessed the neural activity underpinning these two different forms of colour experience that occur in the absence of chromatic sensory input. In both synaesthetes and non-synaesthetes, voluntary colour imagery activated the colour-selective area, V4, in the right hemisphere. In contrast, the synaesthetic colour task resulted in unique activity for synaesthetes in the left medial lingual gyrus, an area previously implicated in tasks involving colour knowledge. Our data suggest that internally generated colour experiences recruit brain regions specialised for colour perception, with striking differences between voluntary colour imagery and synaesthetically induced colours.


Cognitive Neuropsychiatry | 2005

A combined clinical, neuropsychological, and neuroanatomical study of adults with high functioning autism

Jill Boucher; Patricia E. Cowell; Matthew Howard; Paul Broks; Annette Farrant; Neil Roberts; Andrew R. Mayes

Introduction. Three hypotheses concerning associations between neuroanatomical abnormalities, neuropsychological impairments, and the behavioural manifestations of autism were investigated. The primary hypothesis was that the social interaction impairments diagnostic of autism are associated with deficits of socioemotional perception and abnormalities of the amygdala. One subsidiary hypothesis was that the learning and language impairments that occur in less able individuals with autism are associated with impaired memory, and with abnormalities of hippocampal regions. A second subsidiary hypothesis was that the repetitive behaviour diagnostic of autism is associated with executive deficits and with abnormalities of the prefrontal cortex. Associations between the neuroanatomical regions investigated were also examined.Methods. Ten adult males with high functioning autism (HFA) were compared with 10 healthy controls matched for age, sex, verbal and nonverbal ability. Hypothesis-driven structural MRI and neuropsychological tests were used to collect neuroanatomical and neuropsychological data on all subjects. A version of the Wing Autism Diagnostic Interview Checklist was used to collect clinical data on the HFA subjects.Results. Strong convergent evidence in support of the amygdala hypothesis was obtained, and preliminary support for the hippocampal/parahippocampal hypothesis. No clear evidence was obtained in support of the prefrontal hypothesis. Patterns of associations amongst volume measures within and between medial temporal and prefrontal regions suggest stronger within-region and weaker between-region associations in the HFA group compared with controls.Conclusions. These findings are discussed in terms of a model of autism in which selective abnormalities of the amygdala and hippocampus (in all cases) and of the parahippocampal gyrus (in lower functioning cases) are implicated, and in which a disruption of coordinated limbic and prefrontal activity may be critical.


Memory | 1999

The Hippocampus and Delayed Recall: Bigger is not Necessarily Better?

Jonathan K. Foster; Andrew Meikle; Gregory Goodson; Andrew R. Mayes; Matthew Howard; Sandra I. Sunram; Enis Cezayirli; Neil Roberts

Healthy young female participants were tested on a measure of delayed verbal recall and then received volumetric Magnetic Resonance Imaging (MRI) scans. The analysis of the MRI scans focused on the volume of the hippocampus. Left hippocampal volume was negatively associated with the level of delayed verbal recall performance. This relationship was confirmed in further testing. This finding is consistent with a previous report of a similar relationship in healthy elderly individuals, but not in patients with Alzheimers disease, in whom the opposite relationship was observed. An explanation of these findings in terms of impaired neural pruning of the hippocampus is advanced, whereby insufficient pruning of the hippocampus during childhood and adolescence (following adequate growth) may lead to reduced mnemonic efficiency.


Biological Psychiatry | 2016

A Spatiotemporal Profile of In Vivo Cerebral Blood Flow Changes Following Intranasal Oxytocin in Humans

Yannis Paloyelis; Orla M. Doyle; Fernando Zelaya; Stefanos Maltezos; Steven Williams; Aikaterini Fotopoulou; Matthew Howard

BACKGROUND Animal and human studies highlight the role of oxytocin in social cognition and behavior and the potential of intranasal oxytocin (IN-OT) to treat social impairment in individuals with neuropsychiatric disorders such as autism. However, extensive efforts to evaluate the central actions and therapeutic efficacy of IN-OT may be marred by the absence of data regarding its temporal dynamics and sites of action in the living human brain. METHODS In a placebo-controlled study, we used arterial spin labeling to measure IN-OT-induced changes in resting regional cerebral blood flow (rCBF) in 32 healthy men. Volunteers were blinded regarding the nature of the compound they received. The rCBF data were acquired 15 min before and up to 78 min after onset of treatment onset (40 IU of IN-OT or placebo). The data were analyzed using mass univariate and multivariate pattern recognition techniques. RESULTS We obtained robust evidence delineating an oxytocinergic network comprising regions expected to express oxytocin receptors, based on histologic evidence, and including core regions of the brain circuitry underpinning social cognition and emotion processing. Pattern recognition on rCBF maps indicated that IN-OT-induced changes were sustained over the entire posttreatment observation interval (25-78 min) and consistent with a pharmacodynamic profile showing a peak response at 39-51 min. CONCLUSIONS Our study provides the first visualization and quantification of IN-OT-induced changes in rCBF in the living human brain unaffected by cognitive, affective, or social manipulations. Our findings can inform theoretical and mechanistic models regarding IN-OT effects on typical and atypical social behavior and guide future experiments (e.g., regarding the timing of experimental manipulations).


Pain | 2010

Knowing you care: Effects of perceived empathy and attachment style on pain perception

Chiara F. Sambo; Matthew Howard; Michael Kopelman; Steven Williams; Aikaterini Fotopoulou

&NA; Other people can have a significant impact on ones pain. Although correlational data abound, causal relationships between ones pain experience, individual traits of social relating (e.g. attachment style), and social factors (e.g. empathy) have not been investigated. Here, we studied whether the presence of others and ‘perceived empathy’ (defined as participants’ knowledge of the extent to which observers felt they understood and shared their pain) can modulate subjective and autonomic responses to pain; and whether these influences can be explained by individual traits of pain coping and social attachment. Participants received noxious thermal stimuli via a thermode attached to their forearm and were asked to rate their pain. In separate blocks they were witnessed by (a) high‐empathic and (b) low‐empathic unfamiliar observers, and in a third condition (c) no observer was present (alone condition). We found that the effects of social presence and empathy on pain ratings depended on individual differences in attachment style. Higher scores on attachment anxiety predicted higher pain ratings in the low‐empathy than in the high‐empathy condition; and higher scores on attachment avoidance predicted lower pain ratings in the alone condition than with social presence. In addition, social presence decreased autonomic responses to pain irrespective of individual personality traits. To our knowledge this is the first time that adult attachment style has been shown to modulate the effects of social presence and ‘perceived empathy’ on experimentally induced pain. The results are discussed in relation to recent cognitive models of pain coping and attachment theory.

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Nathalie J. Massat

Queen Mary University of London

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Neil Roberts

University of Edinburgh

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