Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Alan J. Thompson is active.

Publication


Featured researches published by Alan J. Thompson.


Annals of Neurology | 2005

Diagnostic criteria for multiple sclerosis: 2010 Revisions to the McDonald criteria

Chris H. Polman; Stephen C. Reingold; Brenda Banwell; Michel Clanet; Jeffrey Cohen; Massimo Filippi; Kazuo Fujihara; Eva Havrdova; Michael Hutchinson; Ludwig Kappos; Fred D. Lublin; Xavier Montalban; Paul O'Connor; Magnhild Sandberg-Wollheim; Alan J. Thompson; Emmanuelle Waubant; Brian G. Weinshenker; Jerry S. Wolinsky

New evidence and consensus has led to further revision of the McDonald Criteria for diagnosis of multiple sclerosis. The use of imaging for demonstration of dissemination of central nervous system lesions in space and time has been simplified, and in some circumstances dissemination in space and time can be established by a single scan. These revisions simplify the Criteria, preserve their diagnostic sensitivity and specificity, address their applicability across populations, and may allow earlier diagnosis and more uniform and widespread use. Ann Neurol 2011


Annals of Neurology | 2001

Recommended diagnostic criteria for multiple sclerosis: Guidelines from the International Panel on the Diagnosis of Multiple Sclerosis

W. Ian McDonald; A. Compston; Gilles Edan; Donald E. Goodkin; Hans-Peter Hartung; Fred D. Lublin; Henry F. McFarland; Donald W. Paty; Chris H. Polman; Stephen C. Reingold; Magnhild Sandberg-Wollheim; William A. Sibley; Alan J. Thompson; Stanley van den Noort; Brian Y. Weinshenker; Jerry S. Wolinsky

The International Panel on MS Diagnosis presents revised diagnostic criteria for multiple sclerosis (MS). The focus remains on the objective demonstration of dissemination of lesions in both time and space. Magnetic resonance imaging is integrated with clinical and other paraclinical diagnostic methods. The revised criteria facilitate the diagnosis of MS in patients with a variety of presentations, including “monosymptomatic” disease suggestive of MS, disease with a typical relapsing‐remitting course, and disease with insidious progression, without clear attacks and remissions. Previously used terms such as “clinically definite” and “probable MS” are no longer recommended. The outcome of a diagnostic evaluation is either MS, “possible MS” (for those at risk for MS, but for whom diagnostic evaluation is equivocal), or “not MS.”


Nature Neuroscience | 2003

Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging

Timothy E. J. Behrens; Heidi Johansen-Berg; Mark W. Woolrich; Shubulade Smith; Claudia A.M. Wheeler-Kingshott; P A Boulby; G J Barker; E L Sillery; K Sheehan; Olga Ciccarelli; Alan J. Thompson; J M Brady; Paul M. Matthews

Evidence concerning anatomical connectivities in the human brain is sparse and based largely on limited post-mortem observations. Diffusion tensor imaging has previously been used to define large white-matter tracts in the living human brain, but this technique has had limited success in tracing pathways into gray matter. Here we identified specific connections between human thalamus and cortex using a novel probabilistic tractography algorithm with diffusion imaging data. Classification of thalamic gray matter based on cortical connectivity patterns revealed distinct subregions whose locations correspond to nuclei described previously in histological studies. The connections that we found between thalamus and cortex were similar to those reported for non-human primates and were reproducible between individuals. Our results provide the first quantitative demonstration of reliable inference of anatomical connectivity between human gray matter structures using diffusion data and the first connectivity-based segmentation of gray matter.


Neurology | 2014

Defining the clinical course of multiple sclerosis The 2013 revisions

Fred D. Lublin; Stephen C. Reingold; Jeffrey Cohen; Gary Cutter; Per Soelberg Sørensen; Alan J. Thompson; Jerry S. Wolinsky; Laura J. Balcer; Brenda Banwell; Frederik Barkhof; Bruce F Bebo; Peter A. Calabresi; Michel Clanet; Giancarlo Comi; Robert J. Fox; Mark Freedman; Andrew D. Goodman; Matilde Inglese; Ludwig Kappos; Bernd C. Kieseier; John A. Lincoln; Catherine Lubetzki; Aaron E. Miller; Xavier Montalban; Paul O'Connor; John Petkau; Carlo Pozzilli; Richard A. Rudick; Maria Pia Sormani; Olaf Stüve

Accurate clinical course descriptions (phenotypes) of multiple sclerosis (MS) are important for communication, prognostication, design and recruitment of clinical trials, and treatment decision-making. Standardized descriptions published in 1996 based on a survey of international MS experts provided purely clinical phenotypes based on data and consensus at that time, but imaging and biological correlates were lacking. Increased understanding of MS and its pathology, coupled with general concern that the original descriptors may not adequately reflect more recently identified clinical aspects of the disease, prompted a re-examination of MS disease phenotypes by the International Advisory Committee on Clinical Trials of MS. While imaging and biological markers that might provide objective criteria for separating clinical phenotypes are lacking, we propose refined descriptors that include consideration of disease activity (based on clinical relapse rate and imaging findings) and disease progression. Strategies for future research to better define phenotypes are also outlined.


Annals of Neurology | 2005

Retinal nerve fiber layer axonal loss and visual dysfunction in optic neuritis.

S. Anand Trip; Patricio G. Schlottmann; Stephen J. Jones; Daniel R. Altmann; David F. Garway-Heath; Alan J. Thompson; Gordon T. Plant; David H. Miller

Axonal loss is thought to be a likely cause of persistent disability after a multiple sclerosis relapse; therefore, noninvasive in vivo markers specific for axonal loss are needed. We used optic neuritis as a model of multiple sclerosis relapse to quantify axonal loss of the retinal nerve fiber layer (RNFL) and secondary retinal ganglion cell loss in the macula with optical coherence tomography. We studied 25 patients who had a previous single episode of optic neuritis with a recruitment bias to those with incomplete recovery and 15 control subjects. Optical coherence tomography measurement of RNFL thickness and macular volume, quantitative visual testing, and electrophysiological examination were performed. There were highly significant reductions (p < 0.001) of RNFL thickness and macular volume in affected patient eyes compared with control eyes and clinically unaffected fellow eyes. There were significant relationships among RNFL thickness and visual acuity, visual field, color vision, and visual‐evoked potential amplitude. This study has demonstrated functionally relevant changes indicative of axonal loss and retinal ganglion cell loss in the RNFL and macula, respectively, after optic neuritis. This noninvasive RNFL imaging technique could be used in trials of experimental treatments that aim to protect optic nerves from axonal loss. Ann Neurol 2005


Lancet Neurology | 2005

Clinically isolated syndromes suggestive of multiple sclerosis, part I: natural history, pathogenesis, diagnosis, and prognosis

David Miller; Frederik Barkhof; Xavier Montalban; Alan J. Thompson; Massimo Filippi

In 85% of young adults with multiple sclerosis (MS), onset is a subacute clinically isolated syndrome (CIS) of the optic nerves, brainstem, or spinal cord. Methods of assessing the prognosis for patients who present with a CIS have been sought, because only 30-70% of patients with a CIS develop MS. When clinically silent brain lesions are seen on MRI, the likelihood of developing MS is high. MS can be diagnosed within 3 months of CIS presentation with certain MRI and CSF criteria. Disability from MS is less likely in patients with a CIS of optic neuritis or sensory symptoms only, few or no MRI lesions, a long period to the first relapse, and no disability after the first 5 years. Development of more reliable prognostic markers will enable new treatments to be targeted for those who are most likely to benefit. We encourage continued clinical and laboratory assessment of patients with a CIS.


Annals of Neurology | 2008

Gray matter atrophy is related to long‐term disability in multiple sclerosis

L Fisniku; Declan Chard; Jonathan S. Jackson; Vm Anderson; Daniel R. Altmann; Katherine A. Miszkiel; Alan J. Thompson; David H. Miller

To determine the relation of gray matter (GM) and white matter (WM) brain volumes, and WM lesion load, with clinical outcomes 20 years after first presentation with clinically isolated syndrome suggestive of multiple sclerosis (MS).


Lancet Neurology | 2007

Rating scales as outcome measures for clinical trials in neurology: problems, solutions, and recommendations

Jeremy Hobart; Stefan J. Cano; John Zajicek; Alan J. Thompson

Have state-of-the-art clinical trials failed to deliver treatments for neurodegenerative diseases because of shortcomings in the rating scales used? This Review assesses two methodological limitations of rating scales that might help to answer this question. First, the numbers generated by most rating scales do not satisfy the criteria for rigorous measurements. Second, we do not really know which variables most rating scales measure. We use clinical examples to highlight concerns about the limitations of rating scales, examine their underlying rationales, clarify their implications, explore potential solutions, and make some recommendations for future research. We show that improvements in the scientific rigour of rating scales can improve the chances of reaching the correct conclusions about the effectiveness of treatments.


Journal of Neurology, Neurosurgery, and Psychiatry | 2000

Diffusion tensor imaging can detect and quantify corticospinal tract degeneration after stroke

David J. Werring; Ahmed T. Toosy; Chris A. Clark; Geoffrey J. M. Parker; Gareth J. Barker; David H. Miller; Alan J. Thompson

Diffusion tensor imaging (DTI) fully characterises water molecule mobility in vivo, allowing an exploration of fibre tract integrity and orientation in the human brain. Using DTI this study demonstrates reduced fibre coherence (anisotropy) associated with cerebral infarction and in the corticospinal tract remote from the lesion, in five patients 2 to 6 months after ischaemic stroke. The study highlights the potential of DTI to detect and monitor the structural degeneration of fibre pathways, which may provide a better understanding of the pattern of clinical evolution after stroke.


Disability and Rehabilitation | 1995

The Functional Independence Measure: A comparative validity and reliability study

D. Kidd; G. Stewart; J. Baldry; J. Johnson; D. Rossiter; A. Petruckevitch; Alan J. Thompson

The majority of measurement scales used to evaluate outcome in rehabilitation are ordinal in nature and consequently statistically valid assessments of change are difficult to make. The Functional Independence Measure (FIM) can be weighted to possess interval properties, potentially allowing more accurate analysis of change. In this study the FIM was compared to the Barthel Index (BI) to determine its validity, reliability and ease of use in two groups of 25 patients undergoing neurorehabilitation. The FIM was considered to be more valid than the BI, and equally reliable in the assessment of disability. When the two disability scores were compared using subjective and objective assessment the agreement between them was comparable, although neither was high.

Collaboration


Dive into the Alan J. Thompson's collaboration.

Top Co-Authors

Avatar

David H. Miller

UCL Institute of Neurology

View shared research outputs
Top Co-Authors

Avatar

Olga Ciccarelli

University College London

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

O Ciccarelli

UCL Institute of Neurology

View shared research outputs
Top Co-Authors

Avatar

Ahmed T. Toosy

UCL Institute of Neurology

View shared research outputs
Top Co-Authors

Avatar

Declan Chard

National Institute for Health Research

View shared research outputs
Top Co-Authors

Avatar

Jeremy Hobart

Plymouth State University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Giancarlo Comi

Vita-Salute San Raffaele University

View shared research outputs
Top Co-Authors

Avatar

Massimo Filippi

Vita-Salute San Raffaele University

View shared research outputs
Researchain Logo
Decentralizing Knowledge