Terence J. O'Brien
Monash University
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Featured researches published by Terence J. O'Brien.
Nature | 2013
Andrew S. Allen; Samuel F. Berkovic; Patrick Cossette; Norman Delanty; Dennis J. Dlugos; Evan E. Eichler; Michael P. Epstein; Tracy A. Glauser; David B. Goldstein; Yujun Han; Erin L. Heinzen; Yuki Hitomi; Katherine B. Howell; Michael R. Johnson; Ruben Kuzniecky; Daniel H. Lowenstein; Yi Fan Lu; Maura Madou; Anthony G Marson; Mefford Hc; Sahar Esmaeeli Nieh; Terence J. O'Brien; Ruth Ottman; Slavé Petrovski; Annapurna Poduri; Elizabeth K. Ruzzo; Ingrid E. Scheffer; Elliott H. Sherr; Christopher J. Yuskaitis; Bassel Abou-Khalil
Epileptic encephalopathies are a devastating group of severe childhood epilepsy disorders for which the cause is often unknown. Here we report a screen for de novo mutations in patients with two classical epileptic encephalopathies: infantile spasms (n = 149) and Lennox–Gastaut syndrome (n = 115). We sequenced the exomes of 264 probands, and their parents, and confirmed 329 de novo mutations. A likelihood analysis showed a significant excess of de novo mutations in the ∼4,000 genes that are the most intolerant to functional genetic variation in the human population (P = 2.9 × 10−3). Among these are GABRB3, with de novo mutations in four patients, and ALG13, with the same de novo mutation in two patients; both genes show clear statistical evidence of association with epileptic encephalopathy. Given the relevant site-specific mutation rates, the probabilities of these outcomes occurring by chance are P = 4.1 × 10−10 and P = 7.8 × 10−12, respectively. Other genes with de novo mutations in this cohort include CACNA1A, CHD2, FLNA, GABRA1, GRIN1, GRIN2B, HNRNPU, IQSEC2, MTOR and NEDD4L. Finally, we show that the de novo mutations observed are enriched in specific gene sets including genes regulated by the fragile X protein (P < 10−8), as has been reported previously for autism spectrum disorders.
Epilepsia | 2000
Russell K. Mosewich; Elson L. So; Terence J. O'Brien; Gregory D. Cascino; F. W. Sharbrough; W. R. Marsh; F. B. Meyer; C. R. Jack; Peter C. O'Brien
Summary: Purpose: To identify factors that predict the outcome in seizure control after frontal lobe epilepsy surgery (FLES). FLES is the second most frequent type of epilepsy surgery, but the results are generally not as good as those after anterior temporal lobectomy.
Neurology | 2000
Terence J. O'Brien; Elson L. So; Brian P. Mullan; G. D. Cascino; Mary F. Hauser; B. H. Brinkmann; F. W. Sharbrough; F. B. Meyer
&NA; Article abstract Objectives To determine whether localization of extratemporal epilepsy with subtraction ictal SPECT coregistered with MRI (SISCOM) is predictive of outcome after resective epilepsy surgery, whether SISCOM images provide prognostically important information compared with standard tests, and whether blood flow change on SISCOM images is useful in determining site and extent of excision required. Background The value of SISCOM in predicting surgical outcome for extratemporal epilepsy is unknown, especially if MRI findings are nonlocalizing. Methods SISCOM images in 36 consecutive patients were classified by blinded reviewers as “localizing and concordant with site of surgery,” “localizing but nonconcordant with site of surgery,” or “nonlocalizing.” SISCOM images were coregistered with postoperative MRI, and reviewers visually determined whether cerebral cortex underlying the SISCOM focus had been completely resected, partially resected, or not resected. Results Twenty-four patients (66.7%) had localizing SISCOM, including 13 (76.5%) of those without a focal MRI lesion. Eleven of 19 patients (57.9%) with localizing SISCOM concordant with the surgical site, compared with 3 of 17 (17.6%) with nonlocalizing or nonconcordant SISCOM, had an excellent outcome (p < 0.05). With logistic regression analysis, SISCOM findings were predictive of postsurgical outcome, independently of MRI or scalp ictal EEG findings (p < 0.05). The extent of resection of the cortical region of the SISCOM focus was significantly associated with the rate of excellent outcome (100% with complete resection, 60% with partial resection, and 20% with nonresection, p < 0.05). Conclusion SISCOM images may be useful in guiding the location and extent of resection in extratemporal epilepsy surgery.
Nuclear Medicine Communications | 1998
Terence J. O'Brien; Michael K. O'Connor; Brian P. Mullan; B. H. Brinkmann; Dennis P. Hanson; C. R. Jack; Elson L. So
Computer-aided subtraction of the co-registered and normalized interictal from the ictal single photon emission tomography (SPET) scan, followed by co-registration to the magnetic resonance image, may improve the utility of ictal SPET in the localization of partial epilepsy. This paper describes and technically validates our method. The SPET to SPET co-registration was tested using six sequential 99Tcm brain phantom SPET images of different known positions (15 matches). The registration error was determined by multiplying the calculated match transformation matrix by the inverse of the known transformation matrix. The ‘worst case’ co-registration error was less that one voxel diameter in all cases (median 3.2 mm, range 1.2–4.8 mm). For interictal to ictal SPET registrations in 10 consecutive intractable partial epilepsy patients, a similar root mean square distance (RMSD) between corresponding points on the matched scans was found as for the phantom studies (median 2.2 vs 2.6 mm). The appropriateness of our normalization was studied by comparing the pixel intensity distributions between the matched scans, and by analysing the subtraction pixel intensity distribution. The pixel intensity distribution for both the normalized phantom, and paired normalized patient studies, were closely matched to each other except for the extreme values, which in clinical situations likely represent regions of ictal activation or depression. The subtraction image intensity distributions were symmetrically centred on zero for all values up to at least within the 5th to 95th centile range, confirming good normalization for the ‘non-activated’ pixels. Also, a linear relationship was demonstrated between the measured pixel intensity on the phantom scans and the true changes in 99Tcm activity based on its decay constant. The results of this study demonstrate that our method produces accurate SPET to SPET co-registration, and appropriate SPET normalization, thereby allowing a valid ictal subtraction image to be derived.
Nature Genetics | 2013
Leanne M. Dibbens; Boukje de Vries; Simona Donatello; Sarah E. Heron; Bree L. Hodgson; Satyan Chintawar; Douglas E. Crompton; James N. Hughes; Susannah T. Bellows; Karl Martin Klein; Petra M.C. Callenbach; Mark Corbett; Alison Gardner; Sara Kivity; Xenia Iona; Brigid M. Regan; Claudia M. Weller; Denis Crimmins; Terence J. O'Brien; Rosa Guerrero-López; John C. Mulley; François Dubeau; Laura Licchetta; Francesca Bisulli; Patrick Cossette; Paul Q. Thomas; Jozef Gecz; José M. Serratosa; Oebele F. Brouwer; Frederick Andermann
The majority of epilepsies are focal in origin, with seizures emanating from one brain region. Although focal epilepsies often arise from structural brain lesions, many affected individuals have normal brain imaging. The etiology is unknown in the majority of individuals, although genetic factors are increasingly recognized. Autosomal dominant familial focal epilepsy with variable foci (FFEVF) is notable because family members have seizures originating from different cortical regions. Using exome sequencing, we detected DEPDC5 mutations in two affected families. We subsequently identified mutations in five of six additional published large families with FFEVF. Study of families with focal epilepsy that were too small for conventional clinical diagnosis with FFEVF identified DEPDC5 mutations in approximately 12% of families (10/82). This high frequency establishes DEPDC5 mutations as a common cause of familial focal epilepsies. Shared homology with G protein signaling molecules and localization in human neurons suggest a role of DEPDC5 in neuronal signal transduction.
Lancet Neurology | 2007
Gianpiero L. Cavalleri; Michael E. Weale; Rinki Singh; John Lynch; Bronwyn E. Grinton; Cassandra Szoeke; Kevin Murphy; Peter Kinirons; Deirdre O'Rourke; Dongliang Ge; Chantal Depondt; Kristl G. Claeys; Massimo Pandolfo; Curtis Gumbs; Nicole M. Walley; James O McNamara; John C. Mulley; Kristen N. Linney; Leslie J. Sheffield; Rodney A. Radtke; Sarah K. Tate; Stephanie L. Chissoe; Rachel A. Gibson; David A. Hosford; Alice Stanton; Td Graves; Michael G. Hanna; Kai Eriksson; Anne-Mari Kantanen; Reetta Kälviäinen
BACKGROUND The Epilepsy Genetics (EPIGEN) Consortium was established to undertake genetic mapping analyses with augmented statistical power to detect variants that influence the development and treatment of common forms of epilepsy. METHODS We examined common variations across 279 prime candidate genes in 2717 case and 1118 control samples collected at four independent research centres (in the UK, Ireland, Finland, and Australia). Single nucleotide polymorphism (SNP) and combined set-association analyses were used to examine the contribution of genetic variation in the candidate genes to various forms of epilepsy. FINDINGS We did not identify clear, indisputable common genetic risk factors that contribute to selected epilepsy subphenotypes across multiple populations. Nor did we identify risk factors for the general all-epilepsy phenotype. However, set-association analysis on the most significant p values, assessed under permutation, suggested the contribution of numerous SNPs to disease predisposition in an apparent population-specific manner. Variations in the genes KCNAB1, GABRR2, KCNMB4, SYN2, and ALDH5A1 were most notable. INTERPRETATION The underlying genetic component to sporadic epilepsy is clearly complex. Results suggest that many SNPs contribute to disease predisposition in an apparently population-specific manner. However, subtle differences in phenotyping across cohorts, combined with a poor understanding of how the underlying genetic component to epilepsy aligns with current phenotypic classifications, might also account for apparent population-specific genetic risk factors. Variations across five genes warrant further study in independent cohorts to clarify the tentative association.
Journal of Clinical Neuroscience | 2004
F. J. E. Vajda; Terence J. O'Brien; Alison Hitchcock; J. Graham; Mark J. Cook; C. M. Lander; M. J. Eadie
UNLABELLED To compare the incidence of foetal malformations (FMs) in pregnant women with epilepsy treated with different anti-epileptic drugs (AED) and doses, and the influence of seizures, family and personal history, and environmental factors. A prospective, observational, community-based cohort study. METHODS A voluntary, Australia-wide, telephone-interview-based register prospectively enrolling three groups of pregnant women: taking AEDs for epilepsy; with epilepsy not taking AEDs; taking AEDs for a non-epileptic indication. Four hundred and fifty eligible women were enrolled over 40 months. Three hundred and ninety six pregnancies had been completed, with 7 sets of twins, for a total of 403 pregnancy outcomes. RESULTS 354 (87.8%) pregnancy outcomes resulted in a healthy live birth, 26 (6.5%) had a FM, 4 (1%) a death in utero, 1 (0.2%) a premature labour with stillbirth, 14 (3.5%) a spontaneous abortion and 4 lost to follow-up. The FM rate was greater in pregnancies exposed to sodium valproate (VPA) in the first trimester (16.0%) compared with those exposed to all other AEDs (16.0% vs. 2.4%, P < 0.01) or no AEDs (16.0% vs. 3.1%, [Formula: see text] ). The mean daily dose of VPA taken in pregnancy with FMs was significantly greater than in those without (1,975 vs. 1,128 mg, P < 0.01). The incidence of FM with VPA doses >or= 1,100 mg was 30.2% vs. 3.2% with doses <1,100 mg (P <0.01). CONCLUSIONS There is a dose-effect relationship for FM and exposure to VPA during the first trimester of pregnancy, with higher doses of VPA associated with a significantly greater risk than with lower doses or with other AEDs. These results highlight the need to limit, where possible, the dose of VPA in pregnancy.
PLOS ONE | 2009
Tahir Mohammed Hadi Brohi Hakami; Nigel C. Jones; Elena Tolmacheva; Julien Gaudias; Jospeh Chaumont; Michael R. Salzberg; Terence J. O'Brien; Didier Pinault
Background The psychotomimetics ketamine and MK-801, non-competitive NMDA receptor (NMDAr) antagonists, induce cognitive impairment and aggravate schizophrenia symptoms. In conscious rats, they produce an abnormal behavior associated with a peculiar brain state characterized by increased synchronization in ongoing γ (30–80 Hz) oscillations in the frontoparietal (sensorimotor) electrocorticogram (ECoG). This study investigated whether NMDAr antagonists-induced aberrant γ oscillations are correlated with locomotion and dependent on hyperlocomotion-related sensorimotor processing. This also implied to explore the contribution of intracortical and subcortical networks in the generation of these pathophysiological ECoG γ oscillations. Methodology/Principal Findings Quantitative locomotion data collected with a computer-assisted video tracking system in combination with ECoG revealed that ketamine and MK-801 induce highly correlated hyperlocomotion and aberrant γ oscillations. This abnormal γ hyperactivity was recorded over the frontal, parietal and occipital cortices. ECoG conducted under diverse consciousness states (with diverse anesthetics) revealed that NMDAr antagonists dramatically increase the power of basal γ oscillations. Paired ECoG and intracortical local field potential recordings showed that the ECoG mainly reflects γ oscillations recorded in underlying intracortical networks. In addition, multisite recordings revealed that NMDAr antagonists dramatically enhance the amount of ongoing γ oscillations in multiple cortical and subcortical structures, including the prefrontal cortex, accumbens, amygdala, basalis, hippocampus, striatum and thalamus. Conclusions/Significance NMDAr antagonists acutely produces, in the rodent CNS, generalized aberrant γ oscillations, which are not dependent on hyperlocomotion-related brain state or conscious sensorimotor processing. These findings suggest that NMDAr hypofunction-related generalized γ hypersynchronies represent an aberrant diffuse network noise, a potential electrophysiological correlate of a psychotic-like state. Such generalized noise might cause dysfunction of brain operations, including the impairments in cognition and sensorimotor integration seen in schizophrenia.
The Journal of Neuroscience | 2009
Kim L. Powell; Stuart M. Cain; Caroline Ng; Sirdesai S; David Ls; Mervyn Kyi; Garcia E; Tyson; Christopher A. Reid; Melanie Bahlo; Simon J. Foote; Terrance P. Snutch; Terence J. O'Brien
Low-voltage-activated, or T-type, calcium (Ca2+) channels are believed to play an essential role in the generation of absence seizures in the idiopathic generalized epilepsies (IGEs). We describe a homozygous, missense, single nucleotide (G to C) mutation in the Cav3.2 T-type Ca2+ channel gene (Cacna1h) in the genetic absence epilepsy rats from Strasbourg (GAERS) model of IGE. The GAERS Cav3.2 mutation (gcm) produces an arginine to proline (R1584P) substitution in exon 24 of Cacna1h, encoding a portion of the III–IV linker region in Cav3.2. gcm segregates codominantly with the number of seizures and time in seizure activity in progeny of an F1 intercross. We have further identified two major thalamic Cacna1h splice variants, either with or without exon 25. gcm introduced into the splice variants acts “epistatically,” requiring the presence of exon 25 to produce significantly faster recovery from channel inactivation and greater charge transference during high-frequency bursts. This gain-of-function mutation, the first reported in the GAERS polygenic animal model, has a novel mechanism of action, being dependent on exonic splicing for its functional consequences to be expressed.
Experimental Neurology | 2008
Nigel C. Jones; Michael R. Salzberg; Gaurav Kumar; Abbie Couper; Margaret J. Morris; Terence J. O'Brien
The explanation for the increased prevalence of neuropsychiatric disorders in epilepsy patients is uncertain, with both biological and psychosocial factors proposed. Increasing evidence supports the idea of shared neurobiological processes leading both to seizures and to behavioral, emotional and cognitive disturbance. This study addresses this using Genetic Absence Epilepsy Rats from Strasbourg (GAERS), a model of human generalized epilepsy. We subjected GAERS (n=47) and Non-Epileptic Control rats (NEC; n=73) to behavioral measures of depression and anxiety at 7 and 13 weeks of age, ages prior to and after seizure onset. We employed the Sucrose-Preference Test (SPT), the Elevated Plus Maze (EPM), and the Open Field Arena (OFA). GAERS exhibited significantly greater levels of both depression- and anxiety-like behaviors on all measures, including reduced consumption of sucrose solution in the SPT; lower percentage of time in the open arms of the EPM; and reduced exploratory activity and less time spent in the inner area of the OFA. These differences were evident at both 7 and 13 weeks of age, before and after the onset of epilepsy. Increased anxiety- and depressive-like behaviors are observed in GAERS. These behavioral differences exist before the onset of seizures indicating that they are not secondary consequences of seizures, and suggest shared factors in the biological diathesis underlying the two kinds of disorder. Studying affective disturbance in animal models of epilepsy may illuminate the pathogenesis of affective disorder more generally, as well as modeling psychiatric comorbidities common in epilepsy patients.