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Dive into the research topics where Thomas Foltynie is active.

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Featured researches published by Thomas Foltynie.


Brain | 2009

The distinct cognitive syndromes of Parkinson's disease: 5 year follow-up of the CamPaIGN cohort

Caroline H. Williams-Gray; Jonathan R. Evans; An Goris; Thomas Foltynie; Maria Ban; Trevor W. Robbins; Carol Brayne; Bhaskar Kolachana; Daniel R. Weinberger; Stephen Sawcer; Roger A. Barker

Cognitive abnormalities are common in Parkinsons disease, with important social and economic implications. Factors influencing their evolution remain unclear but are crucial to the development of targeted therapeutic strategies. We have investigated the development of cognitive impairment and dementia in Parkinsons disease using a longitudinal approach in a population-representative incident cohort (CamPaIGN study, n = 126) and here present the 5-year follow-up data from this study. Our previous work has implicated two genetic factors in the development of cognitive dysfunction in Parkinsons disease, namely the genes for catechol-O-methyltransferase (COMT Val(158)Met) and microtubule-associated protein tau (MAPT) H1/H2. Here, we have explored the influence of these genes in our incident cohort and an additional cross-sectional prevalent cohort (n = 386), and investigated the effect of MAPT H1/H2 haplotypes on tau transcription in post-mortem brain samples from patients with Lewy body disease and controls. Seventeen percent of incident patients developed dementia over 5 years [incidence 38.7 (23.9-59.3) per 1000 person-years]. We have demonstrated that three baseline measures, namely, age >or=72 years, semantic fluency less than 20 words in 90 s and inability to copy an intersecting pentagons figure, are significant predictors of dementia risk, thus validating our previous findings. In combination, these factors had an odds ratio of 88 for dementia within the first 5 years from diagnosis and may reflect the syndrome of mild cognitive impairment of Parkinsons disease. Phonemic fluency and other frontally based tasks were not associated with dementia risk. MAPT H1/H1 genotype was an independent predictor of dementia risk (odds ratio = 12.1) and the H1 versus H2 haplotype was associated with a 20% increase in transcription of 4-repeat tau in Lewy body disease brains. In contrast, COMT genotype had no effect on dementia, but a significant impact on Tower of London performance, a frontostriatally based executive task, which was dynamic, such that the ability to solve this task changed with disease progression. Hence, we have identified three highly informative predictors of dementia in Parkinsons disease, which can be easily translated into the clinic, and established that MAPT H1/H1 genotype is an important risk factor with functional effects on tau transcription. Our work suggests that the dementing process in Parkinsons disease is predictable and related to tau while frontal-executive dysfunction evolves independently with a more dopaminergic basis and better prognosis.


Neurology | 2010

Mild cognitive impairment in Parkinson disease: A multicenter pooled analysis

D. Aarsland; Kolbjørn Brønnick; Caroline H. Williams-Gray; Daniel Weintraub; Karen Marder; J. Kulisevsky; David J. Burn; Paolo Barone; J. Pagonabarraga; Liesl M. Allcock; G. Santangelo; Thomas Foltynie; Carmen Janvin; Jan Petter Larsen; Roger A. Barker; Murat Emre

Background: In studies of mild cognitive impairment (MCI) in Parkinson disease (PD), patients without dementia have reported variable prevalences and profiles of MCI, likely to be due to methodologic differences between the studies. Objective: The objective of this study was to determine frequency and the profile of MCI in a large, multicenter cohort of well-defined patients with PD using a standardized analytic method and a common definition of MCI. Methods: A total of 1,346 patients with PD from 8 different cohorts were included. Standardized analysis of verbal memory, visuospatial, and attentional/executive abilities was performed. Subjects were classified as having MCI if their age- and education-corrected z score on one or more cognitive domains was at least 1.5 standard deviations below the mean of either control subjects or normative data. Results: A total of 25.8% of subjects (95% confidence interval [CI] 23.5–28.2) were classified as having MCI. Memory impairment was most common (13.3%; 11.6–15.3), followed by visuospatial (11.0%; 9.4–13.0) and attention/executive ability impairment (10.1%; 8.6–11.9). Regarding cognitive profiles, 11.3% (9.7–13.1) were classified as nonamnestic single-domain MCI, 8.9% (7.0–9.9) as amnestic single-domain, 4.8% (3.8–6.1) as amnestic multiple-domain, and 1.3% (0.9–2.1) as nonamnestic multiple-domain MCI. Having MCI was associated with older age at assessment and at disease onset, male gender, depression, more severe motor symptoms, and advanced disease stage. Conclusions: MCI is common in patients with PD without dementia, affecting a range of cognitive domains, including memory, visual-spatial, and attention/executive abilities. Future studies of patients with PD with MCI need to determine risk factors for ongoing cognitive decline and assess interventions at a predementia stage.


Annals of Neurology | 2013

Adaptive Deep Brain Stimulation In Advanced Parkinson Disease

Simon Little; A Pogosyan; Spencer Neal; Baltazar Zavala; Ludvic Zrinzo; Marwan Hariz; Thomas Foltynie; Patricia Limousin; Keyoumars Ashkan; James J. FitzGerald; Alexander L. Green; Tipu Z. Aziz; Peter Brown

Brain–computer interfaces (BCIs) could potentially be used to interact with pathological brain signals to intervene and ameliorate their effects in disease states. Here, we provide proof‐of‐principle of this approach by using a BCI to interpret pathological brain activity in patients with advanced Parkinson disease (PD) and to use this feedback to control when therapeutic deep brain stimulation (DBS) is delivered. Our goal was to demonstrate that by personalizing and optimizing stimulation in real time, we could improve on both the efficacy and efficiency of conventional continuous DBS.


Journal of Neurology, Neurosurgery, and Psychiatry | 2005

Heterogeneity of Parkinson's disease in the early clinical stages using a data driven approach

Simon J.G. Lewis; Thomas Foltynie; Andrew D. Blackwell; Trevor W. Robbins; Adrian M. Owen; Roger A. Barker

Objective: To investigate the heterogeneity of idiopathic Parkinson’s disease (PD) in a data driven manner among a cohort of patients in the early clinical stages of the disease meeting established diagnostic criteria. Methods: Data on demographic, motor, mood, and cognitive measures were collected from 120 consecutive patients in the early stages of PD (Hoehn and Yahr I–III) attending a specialist PD research clinic. Statistical cluster analysis of the data allowed the existence of the patient subgroups generated to be explored. Results: The analysis revealed four main subgroups: (a) patients with a younger disease onset; (b) a tremor dominant subgroup of patients; (c) a non-tremor dominant subgroup with significant levels of cognitive impairment and mild depression; and (d) a subgroup with rapid disease progression but no cognitive impairment. Conclusions: This study complements and extends previous research by using a data driven approach to define the clinical heterogeneity of early PD. The approach adopted in this study for the identification of subgroups of patients within Parkinson’s disease has important implications for generating testable hypotheses on defining the heterogeneity of this common condition and its aetiopathological basis and thus its treatment.


Annals of Neurology | 2007

Tau and α-synuclein in susceptibility to, and dementia in, Parkinson's disease

An Goris; Caroline H. Williams-Gray; Graeme R. Clark; Thomas Foltynie; Simon J.G. Lewis; Joanne Brown; Maria Ban; Maria Grazia Spillantini; Alastair Compston; David J. Burn; Patrick F. Chinnery; Roger A. Barker; Stephen Sawcer

Parkinsons disease (PD) is a neurodegenerative condition that typically presents as a movement disorder but is known to be associated with variable degrees of cognitive impairment including dementia. We investigated the genetic basis of susceptibility to and cognitive heterogeneity of this disease.


Journal of Neurology, Neurosurgery, and Psychiatry | 2013

The CamPaIGN study of Parkinson's disease: 10-year outlook in an incident population-based cohort

Caroline H. Williams-Gray; Sarah Mason; Jonathan R. Evans; Thomas Foltynie; Carol Brayne; Trevor W. Robbins; Roger A. Barker

Background Prognosis in Parkinsons disease (PD) remains poorly understood due to a lack of unbiased data on the natural history of treated PD. The CamPaIGN study has been the first to prospectively track disease evolution from diagnosis in an unselected population-representative incident cohort. We now report the 10-year follow-up data, focusing on three key irreversible milestones: postural instability (Hoehn and Yahr 3), dementia and death. Methods The cohort was collected between December 2000 and 2002. Those meeting diagnostic criteria (n=142) were followed-up until 1 January 2012. Clinical, neuropsychological and genetic testing were performed. Progression to key milestones was evaluated using Kaplan–Meier and Cox regression survival analyses. Results At 10 years, 55% had died, 68% had postural instability and 46% dementia. 23% had a good outcome at 10 years (surviving free of dementia/postural instability). Death rate was comparable with the UK population (standardised mortality ratio 1.29 (0.97–1.61)). Death certificates indicated PD was a substantial contributor in only 20%, with pneumonia being the commonest cause of death. Age, non-tremor-dominant motor phenotype and comorbidity predicted earlier postural instability. Baseline predictors of dementia were age, motor impairment, ‘posterior-cortical’ cognitive deficits and MAPT genotype. Conclusions (1) outlook in PD is heterogeneous, with most dying or developing dementia or postural instability by 10 years from diagnosis, but a quarter still doing well, with preserved mobility and intact cognition; (2) death is not directly related to PD in the majority; (3) baseline clinical and genetic variables are predictive of outcome and may be helpful in selecting patients for clinical trials.


Brain | 2011

Resting oscillatory cortico-subthalamic connectivity in patients with Parkinson’s disease

Vladimir Litvak; Ashwani Jha; Alexandre Eusebio; Robert Oostenveld; Thomas Foltynie; Patricia Limousin; Ludvic Zrinzo; Marwan Hariz; K. J. Friston; Peter Brown

Both phenotype and treatment response vary in patients with Parkinsons disease. Anatomical and functional imaging studies suggest that individual symptoms may represent malfunction of different segregated networks running in parallel through the basal ganglia. In this study, we use a newly described, electrophysiological method to describe cortico-subthalamic networks in humans. We performed combined magnetoencephalographic and subthalamic local field potential recordings in thirteen patients with Parkinsons disease at rest. Two spatially and spectrally separated networks were identified. A temporoparietal-brainstem network was coherent with the subthalamic nucleus in the alpha (7-13 Hz) band, whilst a predominantly frontal network was coherent in the beta (15-35 Hz) band. Dopaminergic medication modulated the resting beta network, by increasing beta coherence between the subthalamic region and prefrontal cortex. Subthalamic activity was predominantly led by activity in the cortex in both frequency bands. The cortical topography and frequencies involved in the alpha and beta networks suggest that these networks may be involved in attentional and executive, particularly motor planning, processes, respectively.


Journal of Clinical Investigation | 2013

Exenatide and the treatment of patients with Parkinson’s disease

Iciar Aviles-Olmos; John Dickson; Zinovia Kefalopoulou; Atbin Djamshidian; Peter J. Ell; Therese A. Söderlund; Peter S. Whitton; Richard Wyse; Tom Isaacs; Andrew J. Lees; Patricia Limousin; Thomas Foltynie

UNLABELLED BACKGROUND. There is increasing interest in methods to more rapidly and cost-efficiently investigate drugs that are approved for clinical use in the treatment of another condition. Exenatide is a type 2 diabetes treatment that has been shown to have neuroprotective/neurorestorative properties in preclinical models of neurodegeneration. METHODS. As a proof of concept, using a single-blind trial design, we evaluated the progress of 45 patients with moderate Parkinsons disease (PD), randomly assigned to receive subcutaneous exenatide injection for 12 months or to act as controls. Their PD was compared after overnight withdrawal of conventional PD medication using blinded video assessment of the Movement Disorders Society Unified Parkinsons Disease Rating Scale (MDS-UPDRS), together with several nonmotor tests, at baseline, 6 months, and 12 months and after a further 2-month washout period (14 months). RESULTS. Exenatide was well tolerated, although weight loss was common and l-dopa dose failures occurred in a single patient. Single-blinded rating of the exenatide group suggested clinically relevant improvements in PD across motor and cognitive measures compared with the control group. Exenatide-treated patients had a mean improvement at 12 months on the MDS-UPDRS of 2.7 points, compared with mean decline of 2.2 points in control patients (P = 0.037). CONCLUSION. These results demonstrate a potential cost-efficient approach through which preliminary clinical data of possible biological effects are obtainable, prior to undertaking the major investment required for double-blind trials of a potential disease-modifying drug in PD. TRIAL REGISTRATION Clinicaltrials.gov NCT01174810. FUNDING Cure Parkinsons Trust.


Journal of Neurosurgery | 2012

Reducing hemorrhagic complications in functional neurosurgery: a large case series and systematic literature review Clinical article

Ludvic Zrinzo; Thomas Foltynie; Patricia Limousin; Marwan Hariz

OBJECT Hemorrhagic complications carry by far the highest risk of devastating neurological outcome in functional neurosurgery. Literature published over the past 10 years suggests that hemorrhage, although relatively rare, remains a significant problem. Estimating the true incidence of and risk factors for hemorrhage in functional neurosurgery is a challenging issue. METHODS The authors analyzed the hemorrhage rate in a consecutive series of 214 patients undergoing image-guided deep brain stimulation (DBS) lead placement without microelectrode recording (MER) and with routine postoperative MR imaging lead verification. They also conducted a systematic review of the literature on stereotactic ablative surgery and DBS over a 10-year period to determine the incidence and risk factors for hemorrhage as a complication of functional neurosurgery. RESULTS The total incidence of hemorrhage in our series of image-guided DBS was 0.9%: asymptomatic in 0.5%, symptomatic in 0.5%, and causing permanent deficit in 0.0% of patients. Weighted means calculated from the literature review suggest that the overall incidence of hemorrhage in functional neurosurgery is 5.0%, with asymptomatic hemorrhage occurring in 1.9% of patients, symptomatic hemorrhage in 2.1% and hemorrhage resulting in permanent deficit or death in 1.1%. Hypertension and age were the most important patient-related factors associated with an increased risk of hemorrhage. Risk factors related to surgical technique included use of MER, number of MER penetrations, as well as sulcal or ventricular involvement by the trajectory. The incidence of hemorrhage in studies adopting an image-guided and image-verified approach without MER was significantly lower than that reported with other operative techniques (p < 0.001 for total number of hemorrhages, p < 0.001 for asymptomatic hemorrhage, p < 0.004 for symptomatic hemorrhage, and p = 0.001 for hemorrhage leading to permanent deficit; Fisher exact test). CONCLUSIONS Age and a history of hypertension are associated with an increased risk of hemorrhage in functional neurosurgery. Surgical factors that increase the risk of hemorrhage include the use of MER and sulcal or ventricular incursion. The meticulous use of neuroimaging-both in planning the trajectory and for target verification-can avoid all of these surgery-related risk factors and appears to carry a significantly lower risk of hemorrhage and associated permanent deficit.


Journal of Neurology, Neurosurgery, and Psychiatry | 2011

Deep brain stimulation can suppress pathological synchronisation in parkinsonian patients

Alexandre Eusebio; Wesley Thevathasan; L Doyle Gaynor; A Pogosyan; E Bye; Thomas Foltynie; Ludvic Zrinzo; Keyoumars Ashkan; Tipu Z. Aziz; Peter Brown

Background Although deep brain stimulation (DBS) of the subthalamic nucleus (STN) is a highly effective therapeutic intervention in severe Parkinsons disease, its mechanism of action remains unclear. One possibility is that DBS suppresses local pathologically synchronised oscillatory activity. Methods To explore this, the authors recorded from DBS electrodes implanted in the STN of 16 patients with Parkinsons disease during simultaneous stimulation (pulse width 60 μs; frequency 130 Hz) of the same target using a specially designed amplifier. The authors analysed data from 25 sides. Results The authors found that DBS progressively suppressed peaks in local field potential activity at frequencies between 11 and 30 Hz as voltage was increased beyond a stimulation threshold of 1.5 V. Median peak power had fallen to 54% of baseline values by a stimulation intensity of 3.0 V. Conclusion The findings suggest that DBS can suppress pathological 11–30 Hz activity in the vicinity of stimulation in patients with Parkinsons disease. This suppression occurs at stimulation voltages that are clinically effective.

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Patricia Limousin

UCL Institute of Neurology

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Ludvic Zrinzo

UCL Institute of Neurology

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Peter Brown

University of Western Ontario

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