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Dive into the research topics where Peter C. Williamson is active.

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Featured researches published by Peter C. Williamson.


Biological Psychiatry | 2002

Brain activation during script-driven imagery induced dissociative responses in PTSD: a functional magnetic resonance imaging investigation

Ruth A. Lanius; Peter C. Williamson; Kristine Boksman; Maria Densmore; Madhulika A. Gupta; Richard W. J. Neufeld; Joseph S. Gati; Ravi S. Menon

BACKGROUND The goal of this study was to examine the neuronal circuitry underlying dissociative responses to traumatic script-driven imagery in sexual-abuse-related posttraumatic stress disorder (PTSD). Pilot studies in our laboratory have shown that PTSD patients had very different responses to traumatic script-driven imagery. Approximately 70% of patients relived their traumatic experience and showed an increase in heart rate while recalling the traumatic memory. The other 30% of patients had a dissociative response with no concomitant increase in heart rate. This article focuses on the latter group. METHODS The neuronal circuitry underlying dissociative responses in PTSD was studied using the traumatic script-driven symptom provocation paradigm adapted to functional magnetic resonance imaging (fMRI) at a 4 Tesla field strength in 7 subjects with sexual-abuse-related PTSD and 10 control subjects. RESULTS Compared with control subjects, PTSD patients in a dissociative state showed more activation in the superior and middle temporal gyri (BA 38), the inferior frontal gyrus (BA 47), the occipital lobe (BA 19), the parietal lobe (BA 7), the medial frontal gyrus (BA 10), the medial cortex (BA 9), and the anterior cingulate gyrus (BA 24 and 32). CONCLUSIONS These findings suggest that prefrontal and limbic structures underlie dissociative responses in PTSD. Differences observed clinically, psychophysiologically, and neurobiologically between patients who respond to traumatic script-driven imagery with dissociative versus nondissociative responses may suggest different neuronal mechanisms underlying these two distinct reactions.


Biological Psychiatry | 2003

Recall of emotional states in posttraumatic stress disorder: an fMRI investigation

Ruth A. Lanius; Peter C. Williamson; James W. Hopper; Maria Densmore; Kristine Boksman; Madhulika A. Gupta; Robert W.J Neufeld; Joseph S. Gati; Ravi S. Menon

BACKGROUND The goal of this study was to examine the neuronal circuitry underlying different emotional states (neutral, sad, anxious, and traumatic) in posttraumatic stress disorder (PTSD) in traumatized subjects versus traumatized subjects without PTSD. METHODS Traumatized subjects with (n = 10) and without (n = 10) PTSD were studied using the script-driven symptom provocation paradigm adapted to functional magnetic resonance imaging (fMRI) at a 4 Tesla field strength. RESULTS Compared to the trauma-exposed comparison group, PTSD subjects showed significantly less activation of the thalamus and the anterior cingulate gyrus (area 32) in all three emotional states (sad, anxious, and traumatic). CONCLUSION These findings suggest thalamic and anterior cingulate dysfunction in the recollection of traumatic as well as other negative events. Thalamic and anterior cingulate dysfunction may underlie emotion dysregulation often observed clinically in PTSD.


Biological Psychiatry | 2006

Mapping Corpus Callosum Deficits in Autism: An Index of Aberrant Cortical Connectivity

Christine N. Vidal; Rob Nicolson; Timothy J. DeVito; Kiralee M. Hayashi; Jennifer A. Geaga; Dick J. Drost; Peter C. Williamson; Nagalingam Rajakumar; Yihong Sui; Rebecca A. Dutton; Arthur W. Toga; Paul M. Thompson

BACKGROUND Volumetric studies have reported reductions in the size of the corpus callosum (CC) in autism, but the callosal regions contributing to this deficit have differed among studies. In this study, a computational method was used to detect and map the spatial pattern of CC abnormalities in male patients with autism. METHODS Twenty-four boys with autism (aged 10.0 +/- 3.3 years) and 26 control boys (aged 11.0 +/- 2.5 years) underwent a magnetic resonance imaging (MRI) scan at 3 Tesla. Total and regional areas of the CC were determined using traditional morphometric methods. Three-dimensional (3D) surface models of the CC were also created from the MRI scans. Statistical maps were created to visualize morphologic variability of the CC and to localize regions of callosal thinning in autism. RESULTS Traditional morphometric methods detected a significant reduction in the total callosal area and in the anterior third of the CC in patients with autism; however, 3D maps revealed significant reductions in both the splenium and genu of the CC in patients. CONCLUSIONS Statistical maps of the CC revealed callosal deficits in autism with greater precision than traditional morphometric methods. These abnormalities suggest aberrant connections between cortical regions, which is consistent with the hypothesis of abnormal cortical connectivity in autism.


Psychiatry and Clinical Neurosciences | 2009

Resting state default-mode network connectivity in early depression using a seed region-of-interest analysis : Decreased connectivity with caudate nucleus

Robyn Bluhm; Peter C. Williamson; Ruth A. Lanius; Jean Théberge; Maria Densmore; Robert Bartha; Richard W. J. Neufeld; Elizabeth A. Osuch

Aim:  Reports on resting brain activity in healthy controls have described a default‐mode network (DMN) and important differences in DMN connectivity have emerged for several psychiatric conditions. No study to date, however, has investigated resting‐state DMN in relatively early depression before years of medication treatment. The objective of the present study was, therefore, to investigate the DMN in patients seeking help from specialized mental health services for the first time for symptoms of depression.


Acta Psychiatrica Scandinavica | 2010

Default mode network connectivity as a predictor of post-traumatic stress disorder symptom severity in acutely traumatized subjects

Ruth A. Lanius; Robyn Bluhm; Nicholas J. Coupland; Kathy Hegadoren; Brian H. Rowe; Jean Théberge; R. W. J. Neufeld; Peter C. Williamson; M. Brimson

Objective:  The goal of this study was to investigate the relationship between default mode network connectivity and the severity of post‐traumatic stress disorder (PTSD) symptoms in a sample of eleven acutely traumatized subjects.


Schizophrenia Research | 1993

Three syndrome concept of schizophrenia: A factor analytic study

Ashok Malla; Ross Norman; Peter C. Williamson; Leonard Cortese; Fernando Diaz

One hundred and fifty-five DSM-IIIR schizophrenic patients were assessed for positive and negative symptoms using Andreasens Scale for Assessment of Positive Symptoms (SAPS) and the Scale for Assessment of Negative Symptoms (SANS). Interrelationships of individual positive and negative symptoms were examined using a factor analysis. Results of the factor analysis are consistent with Liddles proposition that there are three syndromes underlying symptomatology in schizophrenia: disorganization; psychomotor poverty and reality distortion.


Magnetic Resonance in Medicine | 2000

Comparison of the quantification precision of human short echo time 1H spectroscopy at 1.5 and 4.0 Tesla

Robert Bartha; Dick J. Drost; Ravi S. Menon; Peter C. Williamson

Precise quantification of human in vivo short echo time 1H spectra remains problematic at clinical field strengths due to broad peak linewidths and low signal‐to‐noise ratio (SNR). In this study, multiple STEAM spectra (TE = 20 ms, volume = 8 cm3) were acquired in a single individual at 1.5 T and 4 T to compare quantification precision. Test–retest STEAM spectra (volume = 1.5 cm3) were also acquired from the anterior cingulate and thalamus of 10 individuals at 4.0 T. Metabolite levels were quantified using automated software that incorporated field strength‐specific prior knowledge. With the distinct methods of data acquisition, processing, and fitting used in this study, peak height SNR increased ∼80% while peak linewidth increased by ∼50% in the 8 cm3 volumes at 4.0 T compared to 1.5 T, resulting in an average increase in quantification precision of 39%. Metabolite levels from test–retest data (1.5 cm3 voxels at 4.0 T) were quantified with similar inter‐ and intraindividual variability. Magn Reson Med 44:185–192, 2000. Published 2000 Wiley‐Liss, Inc.


Schizophrenia Research | 2005

A 4.0-T fMRI study of brain connectivity during word fluency in first-episode schizophrenia

Kristine Boksman; Jean Théberge; Peter C. Williamson; Dick J. Drost; Ashok Malla; Maria Densmore; Jatinder Takhar; William Pavlosky; Ravi S. Menon; Richard W. J. Neufeld

OBJECTIVE To use functional magnetic resonance imaging (fMRI) to investigate functional connectivity, and hence, underlying neural networks, in never-treated, first-episode patients with schizophrenia using a word fluency paradigm known to activate prefrontal, anterior cingulate, and thalamic regions. Abnormal connectivity between the prefrontal cortex (PFC) and other brain regions has been demonstrated in chronic, medicated patients in previous positron emission tomography (PET) studies, but has not to our knowledge, previously been demonstrated using both first-episode, drug-naïve patients and fMRI technology. METHODS A 4.0-Tesla (T) fMRI was used to examine activation and functional connectivity [psychophysiological interactions (PPIs)] during a word fluency task compared to silent reading in 10 never-treated, first-episode patients with schizophrenia and 10 healthy volunteers of comparable age, sex, handedness, and parental education. RESULTS Compared to healthy volunteers, the schizophrenia patient group exhibited less activation during the word fluency task, mostly in the right anterior cingulate and prefrontal regions. Psychophysiological interactions between right anterior cingulate and other parts of the brain revealed a localized interaction with the left temporal lobe in healthy volunteers during the task and a widespread unfocussed interaction in patients. CONCLUSION These findings suggest anterior cingulate involvement in the neuronal circuitry underlying schizophrenia.


Neuroreport | 2008

Default mode network connectivity : effects of age, sex, and analytic approach

Robyn Bluhm; Elizabeth A. Osuch; Ruth A. Lanius; Kristine Boksman; Richard W. J. Neufeld; Jean Théberge; Peter C. Williamson

The ‘default mode network’ is a set of brain regions showing correlated, low-frequency activity during rest. It includes the posterior cingulate/precuneus, medial prefrontal cortex, and bilateral inferior parietal cortex. Earlier studies have characterized this network using either region of interest-based correlation analyses or data-driven techniques; however, there is some disagreement over which method is superior. We conducted both types of analysis on a large (N=40) data set and also investigated age and sex differences in the network. Both region of interest-based analyses and independent component analysis identified the default mode network. Age and sex differences were small and there was less agreement between analytic techniques regarding age and sex effects than regarding default mode network structure.


Biological Psychiatry | 2007

Evidence for Cortical Dysfunction in Autism: A Proton Magnetic Resonance Spectroscopic Imaging Study

Timothy J. DeVito; Dick J. Drost; Richard W. J. Neufeld; Nagalingam Rajakumar; William Pavlosky; Peter C. Williamson; Rob Nicolson

BACKGROUND Although brain imaging studies have reported neurobiological abnormalities in autism, the nature and distribution of the underlying neurochemical irregularities are unknown. The purpose of this study was to examine cerebral gray and white matter cellular neurochemistry in autism with proton magnetic resonance spectroscopic imaging (MRSI). METHODS Proton MRSI examinations were conducted in 26 males with autism (age 9.8 +/- 3.2 years) and 29 male comparison subjects (age 11.1 +/- 2.4 years). Estimates of cerebral gray and white matter concentrations of N-acetylaspartate (NAA), creatine + phosphocreatine, choline-containing compounds, myo-inositol, and glutamate + glutamine (Glx) were made by linear regression analysis of multi-slice MRSI data and compared between groups. Regional estimates of metabolite concentration were also made with multivariate linear regression, allowing for comparisons of frontal, temporal, and occipital gray matter, cerebral white matter, and the cerebellum. RESULTS Patients with autism exhibited significantly lower levels of gray matter NAA and Glx than control subjects. Deficits were widespread, affecting most cerebral lobes and the cerebellum. No significant differences were detected in cerebral white matter or cerebellar metabolite levels. CONCLUSIONS These results suggest widespread reductions in gray matter neuronal integrity and dysfunction of cortical and cerebellar glutamatergic neurons in patients with autism.

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Dick J. Drost

University of Western Ontario

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Richard W. J. Neufeld

University of Western Ontario

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Maria Densmore

University of Western Ontario

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Jean Théberge

Lawson Health Research Institute

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Ravi S. Menon

University of Western Ontario

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Betsy Schaefer

University of Western Ontario

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Nagalingam Rajakumar

University of Western Ontario

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Thomas J. Carr

University of Western Ontario

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Elizabeth A. Osuch

University of Western Ontario

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