Teresa Burke
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Teresa Burke has a total of 105 co-authors. Here are the top co-authors by number of shared publications:
- Michael Hutchinson
St Vincent’s University Hospital
5 shared publications - Richard B. Reilly
The University of Dublin
5 shared publications - Robert Whelan
School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
5 shared publications - Hanni S. M. Kiiski
Affiliations: Neural Engineering Group, Trinity Centre for Bioengineering, Trinity College Dublin, Dublin, Ireland, School of Engineering, Trinity College Dublin, Dublin, Ireland
4 shared publications - Jessica Bramham
School of Psychology, University College Dublin, Dublin, Ireland
4 shared publications Katie Kinsella
Department of Neurology, St. Vincent's University Hospital, Dublin, Ireland
4 shared publications
Latest Publications
- Open Access
- 15 June 2021
- Published by F1000 Research Ltd in HRB Open Research
- Vol. 4, 66
Traumatic brain injury epidemiology and rehabilitation in Ireland: a protocol paper
Background: Traumatic brain injury (TBI) is a leading cause of death and disability worldwide. In Ireland, a dearth of research on TBI means that we neither know the number of people affected by this injury, nor have the information required to improve neuro-rehabilitation services. Aims: This is the protocol for a study that will examine pathways through rehabilitation for survivors of TBI in the Republic of Ireland. The experiences of family members providing care or support to a person with TBI will also be explored. Additionally, the study will estimate the incidence and prevalence of TBI in Ireland. Epidemiological data and information on how people with TBI access rehabilitation and health services will support advocacy efforts towards the redevelopment of neuro-rehabilitation services. Methods: The research is a mixed method, observational cohort study design. Participants with moderate to severe TBI will be recruited through two brain injury service providers, two acute hospitals that provide neurosurgical services, and the National Rehabilitation Hospital. Questionnaires will be administered to participants with TBI on two separate occasions, six months apart, and to family members providing care or support to an individual with TBI, on one occasion. Data from the medical records of participants will be abstracted to capture key information about their brain injury. TBI survivor participants’ use of health care will be followed prospectively for six months. Expected outcomes: The study will outline participants’ pathways through rehabilitation in Ireland, to understand how rehabilitation services are accessed, and the barriers to accessing these services. The incidence and prevalence of TBI in Ireland will be estimated. Experiences of family members providing care or support to an individual with TBI will be detailed. The outcomes of the study will support ongoing efforts to improve care for TBI survivors in Ireland and to redevelop neuro-rehabilitation services.
- 15 June 2021
- Published by F1000 Research Ltd in HRB Open Research
- Vol. 4, 66
Open AccessTraumatic brain injury epidemiology and rehabilitation in Ireland: a protocol paper
Background: Traumatic brain injury (TBI) is a leading cause of death and disability worldwide. In Ireland, a dearth of research on TBI means that we neither know the number of people affected by this injury, nor have the information required to improve neuro-rehabilitation services. Aims: This is the protocol for a study that will examine pathways through rehabilitation for survivors of TBI in the Republic of Ireland. The experiences of family members providing care or support to a person with TBI will also be explored. Additionally, the study will estimate the incidence and prevalence of TBI in Ireland. Epidemiological data and information on how people with TBI access rehabilitation and health services will support advocacy efforts towards the redevelopment of neuro-rehabilitation services. Methods: The research is a mixed method, observational cohort study design. Participants with moderate to severe TBI will be recruited through two brain injury service providers, two acute hospitals that provide neurosurgical services, and the National Rehabilitation Hospital. Questionnaires will be administered to participants with TBI on two separate occasions, six months apart, and to family members providing care or support to an individual with TBI, on one occasion. Data from the medical records of participants will be abstracted to capture key information about their brain injury. TBI survivor participants’ use of health care will be followed prospectively for six months. Expected outcomes: The study will outline participants’ pathways through rehabilitation in Ireland, to understand how rehabilitation services are accessed, and the barriers to accessing these services. The incidence and prevalence of TBI in Ireland will be estimated. Experiences of family members providing care or support to an individual with TBI will be detailed. The outcomes of the study will support ongoing efforts to improve care for TBI survivors in Ireland and to redevelop neuro-rehabilitation services.
- Open Access
- 1 May 2018
- Published by Elsevier in International Psychogeriatrics
- Vol. 30 (5) , 663-672
Rapid review of cognitive screening instruments in MCI: proposal for a process-based approach modification of overlapping tasks in select widely used instruments
- 1 May 2018
- Published by Elsevier in International Psychogeriatrics
- Vol. 30 (5) , 663-672
Open AccessRapid review of cognitive screening instruments in MCI: proposal for a process-based approach modification of overlapping tasks in select widely used instruments
- 29 January 2018
- Published by Springer Nature in Brain Topography
- Vol. 31 (3) , 346-363
Machine Learning EEG to Predict Cognitive Functioning and Processing Speed Over a 2-Year Period in Multiple Sclerosis Patients and Controls
Event-related potentials (ERPs) show promise to be objective indicators of cognitive functioning. The aim of the study was to examine if ERPs recorded during an oddball task would predict cognitive functioning and information processing speed in Multiple Sclerosis (MS) patients and controls at the individual level. Seventy-eight participants (35 MS patients, 43 healthy age-matched controls) completed visual and auditory 2- and 3-stimulus oddball tasks with 128-channel EEG, and a neuropsychological battery, at baseline (month 0) and at Months 13 and 26. ERPs from 0 to 700 ms and across the whole scalp were transformed into 1728 individual spatio-temporal datapoints per participant. A machine learning method that included penalized linear regression used the entire spatio-temporal ERP to predict composite scores of both cognitive functioning and processing speed at baseline (month 0), and months 13 and 26. The results showed ERPs during the visual oddball tasks could predict cognitive functioning and information processing speed at baseline and a year later in a sample of MS patients and healthy controls. In contrast, ERPs during auditory tasks were not predictive of cognitive performance. These objective neurophysiological indicators of cognitive functioning and processing speed, and machine learning methods that can interrogate high-dimensional data, show promise in outcome prediction.
- 29 January 2018
- Published by Springer Nature in Brain Topography
- Vol. 31 (3) , 346-363
Machine Learning EEG to Predict Cognitive Functioning and Processing Speed Over a 2-Year Period in Multiple Sclerosis Patients and Controls
Event-related potentials (ERPs) show promise to be objective indicators of cognitive functioning. The aim of the study was to examine if ERPs recorded during an oddball task would predict cognitive functioning and information processing speed in Multiple Sclerosis (MS) patients and controls at the individual level. Seventy-eight participants (35 MS patients, 43 healthy age-matched controls) completed visual and auditory 2- and 3-stimulus oddball tasks with 128-channel EEG, and a neuropsychological battery, at baseline (month 0) and at Months 13 and 26. ERPs from 0 to 700 ms and across the whole scalp were transformed into 1728 individual spatio-temporal datapoints per participant. A machine learning method that included penalized linear regression used the entire spatio-temporal ERP to predict composite scores of both cognitive functioning and processing speed at baseline (month 0), and months 13 and 26. The results showed ERPs during the visual oddball tasks could predict cognitive functioning and information processing speed at baseline and a year later in a sample of MS patients and healthy controls. In contrast, ERPs during auditory tasks were not predictive of cognitive performance. These objective neurophysiological indicators of cognitive functioning and processing speed, and machine learning methods that can interrogate high-dimensional data, show promise in outcome prediction.
- 11 May 2016
- Published by Wiley in Journal of Viral Hepatitis
- Vol. 23 (8) , 584-595
Is psychosocial and cognitive dysfunction misattributed to the virus in hepatitis C infection? Select psychosocial contributors identified
Summary: Chronic hepatitis C is associated with health‐related quality of life and cognitive impairments, even in mild disease. Recent evidence demonstrating hepatitis C virus (HCV) neurotropism has strengthened a neuropathophysiological hypothesis. However, sample heterogeneity confounds study outcomes. A uniquely homogeneous cohort of Irish women, following an iatrogenic HCV outbreak, offers a rare opportunity to control for HCV chronicity and the virus’ purported impact on quality of life and cognition. A multi site, three‐group, cross‐sectional design was employed. Noncirrhotic, iatrogenically infected women, developing either acute or chronic infection, were recruited from prospective tertiary‐care liver clinics and the community. Well‐matched healthy controls were also recruited. All participants completed a psychosocial survey and were invited to undergo a comprehensive neuropsychological test battery. Significantly distressed psychosocial symptom profiles were observed in those with an iatrogenic HCV exposure history, which was independent of viral chronicity. Chronic and cleared HCV cohorts were not differentiated from each other. Two distinct subgroups, demarcated along ‘impaired’ vs ‘nonimpaired’ quality‐of‐life reports, were clearly identified and logistic regression analysis identified depressed mood and cognitive fatigue, rather than viral status, as statistically significant predictors of group membership. Compared with matched controls, significant cognitive impairments were not observed in either HCV cohort. Our findings provide strong evidence of nonviral factors accounting for quality of life impairment in chronic HCV and they also appear to question existing reports of cognitive dysfunction in mild disease. Depressed mood and cognitive fatigue appear to be critical psychosocial mediators of reduced quality‐of‐life and we hypothesize that metabolite abnormalities reported in HCV samples may also be confounded by these factors, given the associated literature.
- 11 May 2016
- Published by Wiley in Journal of Viral Hepatitis
- Vol. 23 (8) , 584-595
Is psychosocial and cognitive dysfunction misattributed to the virus in hepatitis C infection? Select psychosocial contributors identified
Summary: Chronic hepatitis C is associated with health‐related quality of life and cognitive impairments, even in mild disease. Recent evidence demonstrating hepatitis C virus (HCV) neurotropism has strengthened a neuropathophysiological hypothesis. However, sample heterogeneity confounds study outcomes. A uniquely homogeneous cohort of Irish women, following an iatrogenic HCV outbreak, offers a rare opportunity to control for HCV chronicity and the virus’ purported impact on quality of life and cognition. A multi site, three‐group, cross‐sectional design was employed. Noncirrhotic, iatrogenically infected women, developing either acute or chronic infection, were recruited from prospective tertiary‐care liver clinics and the community. Well‐matched healthy controls were also recruited. All participants completed a psychosocial survey and were invited to undergo a comprehensive neuropsychological test battery. Significantly distressed psychosocial symptom profiles were observed in those with an iatrogenic HCV exposure history, which was independent of viral chronicity. Chronic and cleared HCV cohorts were not differentiated from each other. Two distinct subgroups, demarcated along ‘impaired’ vs ‘nonimpaired’ quality‐of‐life reports, were clearly identified and logistic regression analysis identified depressed mood and cognitive fatigue, rather than viral status, as statistically significant predictors of group membership. Compared with matched controls, significant cognitive impairments were not observed in either HCV cohort. Our findings provide strong evidence of nonviral factors accounting for quality of life impairment in chronic HCV and they also appear to question existing reports of cognitive dysfunction in mild disease. Depressed mood and cognitive fatigue appear to be critical psychosocial mediators of reduced quality‐of‐life and we hypothesize that metabolite abnormalities reported in HCV samples may also be confounded by these factors, given the associated literature.
- Open Access
- 4 January 2016
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 11 (1) , e0146084
Delayed P100-Like Latencies in Multiple Sclerosis: A Preliminary Investigation Using Visual Evoked Spread Spectrum Analysis
Conduction along the optic nerve is often slowed in multiple sclerosis (MS). This is typically assessed by measuring the latency of the P100 component of the Visual Evoked Potential (VEP) using electroencephalography. The Visual Evoked Spread Spectrum Analysis (VESPA) method, which involves modulating the contrast of a continuous visual stimulus over time, can produce a visually evoked response analogous to the P100 but with a higher signal-to-noise ratio and potentially higher sensitivity to individual differences in comparison to the VEP. The main objective of the study was to conduct a preliminary investigation into the utility of the VESPA method for probing and monitoring visual dysfunction in multiple sclerosis. The latencies and amplitudes of the P100-like VESPA component were compared between healthy controls and multiple sclerosis patients, and multiple sclerosis subgroups. The P100-like VESPA component activations were examined at baseline and over a 3-year period. The study included 43 multiple sclerosis patients (23 relapsing-remitting MS, 20 secondary-progressive MS) and 42 healthy controls who completed the VESPA at baseline. The follow-up sessions were conducted 12 months after baseline with 24 MS patients (15 relapsing-remitting MS, 9 secondary-progressive MS) and 23 controls, and again at 24 months post-baseline with 19 MS patients (13 relapsing-remitting MS, 6 secondary-progressive MS) and 14 controls. The results showed P100-like VESPA latencies to be delayed in multiple sclerosis compared to healthy controls over the 24-month period. Secondary-progressive MS patients had most pronounced delay in P100-like VESPA latency relative to relapsing-remitting MS and controls. There were no longitudinal P100-like VESPA response differences. These findings suggest that the VESPA method is a reproducible electrophysiological method that may have potential utility in the assessment of visual dysfunction in multiple sclerosis.
- 4 January 2016
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 11 (1) , e0146084
Open AccessDelayed P100-Like Latencies in Multiple Sclerosis: A Preliminary Investigation Using Visual Evoked Spread Spectrum Analysis
Conduction along the optic nerve is often slowed in multiple sclerosis (MS). This is typically assessed by measuring the latency of the P100 component of the Visual Evoked Potential (VEP) using electroencephalography. The Visual Evoked Spread Spectrum Analysis (VESPA) method, which involves modulating the contrast of a continuous visual stimulus over time, can produce a visually evoked response analogous to the P100 but with a higher signal-to-noise ratio and potentially higher sensitivity to individual differences in comparison to the VEP. The main objective of the study was to conduct a preliminary investigation into the utility of the VESPA method for probing and monitoring visual dysfunction in multiple sclerosis. The latencies and amplitudes of the P100-like VESPA component were compared between healthy controls and multiple sclerosis patients, and multiple sclerosis subgroups. The P100-like VESPA component activations were examined at baseline and over a 3-year period. The study included 43 multiple sclerosis patients (23 relapsing-remitting MS, 20 secondary-progressive MS) and 42 healthy controls who completed the VESPA at baseline. The follow-up sessions were conducted 12 months after baseline with 24 MS patients (15 relapsing-remitting MS, 9 secondary-progressive MS) and 23 controls, and again at 24 months post-baseline with 19 MS patients (13 relapsing-remitting MS, 6 secondary-progressive MS) and 14 controls. The results showed P100-like VESPA latencies to be delayed in multiple sclerosis compared to healthy controls over the 24-month period. Secondary-progressive MS patients had most pronounced delay in P100-like VESPA latency relative to relapsing-remitting MS and controls. There were no longitudinal P100-like VESPA response differences. These findings suggest that the VESPA method is a reproducible electrophysiological method that may have potential utility in the assessment of visual dysfunction in multiple sclerosis.
- 1 April 2014
- Published by Elsevier in Epilepsy & Behavior
- Vol. 33, 45-48
The economic cost of nonepileptic attack disorder in Ireland
- 1 April 2014
- Published by Elsevier in Epilepsy & Behavior
- Vol. 33, 45-48
The economic cost of nonepileptic attack disorder in Ireland
- 2 December 2013
- Published by Taylor & Francis in Brain Injury
- Vol. 28 (1) , 27-37
A qualitative exploration of how individuals reconstruct their sense of self following acquired brain injury in comparison with spinal cord injury
Primary objective: The present study aimed to investigate the specific ways in which individuals reconstruct their sense of self following injury to the nervous system, by comparing individuals with acquired brain injury (ABI) and individuals with spinal cord injury (SCI), two groups that have experienced a sudden-onset injury with life-changing repercussions. Research design: Phenomenological qualitative research. Methods and procedures: Nine individuals with ABI and 10 individuals with SCI took part in an interview exploring the ways in which individuals reconstruct their sense of self following injury. Data were analysed using interpretative thematic analysis. Main outcomes and results: Findings showed similar themes identified within the interview data of the ABI and SCI groups. Both groups developed positive and negative self-narratives. Individuals employed strategies that facilitated the reconstruction of positive self-narratives. In addition, individuals described their sense of self as simultaneously continuous and changing. Discussion: Findings are discussed in relation to proposed models of self-reconstruction post-injury to the nervous system.
- 2 December 2013
- Published by Taylor & Francis in Brain Injury
- Vol. 28 (1) , 27-37
A qualitative exploration of how individuals reconstruct their sense of self following acquired brain injury in comparison with spinal cord injury
Primary objective: The present study aimed to investigate the specific ways in which individuals reconstruct their sense of self following injury to the nervous system, by comparing individuals with acquired brain injury (ABI) and individuals with spinal cord injury (SCI), two groups that have experienced a sudden-onset injury with life-changing repercussions. Research design: Phenomenological qualitative research. Methods and procedures: Nine individuals with ABI and 10 individuals with SCI took part in an interview exploring the ways in which individuals reconstruct their sense of self following injury. Data were analysed using interpretative thematic analysis. Main outcomes and results: Findings showed similar themes identified within the interview data of the ABI and SCI groups. Both groups developed positive and negative self-narratives. Individuals employed strategies that facilitated the reconstruction of positive self-narratives. In addition, individuals described their sense of self as simultaneously continuous and changing. Discussion: Findings are discussed in relation to proposed models of self-reconstruction post-injury to the nervous system.
- 14 February 2013
- Published by SAGE Publications in Multiple Sclerosis Journal
- Vol. 19 (10) , 1349-1354
Symptom overlap in anxiety and multiple sclerosis
Background: The validity of self-rated anxiety inventories in people with multiple sclerosis (pwMS) is unclear. However, the appropriateness of self-reported depression scales has been widely examined. Given somatic symptom overlap between depression and MS, research emphasises caution when using such scales. Objective: This study evaluates symptom overlap between anxiety and MS in a group of 33 individuals with MS, using the Beck Anxiety Inventory (BAI). Methods: Participants underwent a neurological examination and completed the BAI. Results: A novel procedure using hierarchical cluster analysis revealed three distinct symptom clusters. Cluster one (‘wobbliness’ and ‘unsteady’) grouped separately from all other BAI items. These symptoms are well-recognised MS-related symptoms and we question whether their endorsement in pwMS can be considered to reflect anxiety. A modified 19-item BAI (mBAI) was created which excludes cluster one items. This removal reduced the number of MS participants considered ‘anxious’ by 21.21% (low threshold) and altered the level of anxiety severity for a further 27.27%. Conclusion: Based on these data, it is suggested that, as with depression measures, researchers and clinicians should exercise caution when using brief screening measures for anxiety in pwMS.
- 14 February 2013
- Published by SAGE Publications in Multiple Sclerosis Journal
- Vol. 19 (10) , 1349-1354
Symptom overlap in anxiety and multiple sclerosis
Background: The validity of self-rated anxiety inventories in people with multiple sclerosis (pwMS) is unclear. However, the appropriateness of self-reported depression scales has been widely examined. Given somatic symptom overlap between depression and MS, research emphasises caution when using such scales. Objective: This study evaluates symptom overlap between anxiety and MS in a group of 33 individuals with MS, using the Beck Anxiety Inventory (BAI). Methods: Participants underwent a neurological examination and completed the BAI. Results: A novel procedure using hierarchical cluster analysis revealed three distinct symptom clusters. Cluster one (‘wobbliness’ and ‘unsteady’) grouped separately from all other BAI items. These symptoms are well-recognised MS-related symptoms and we question whether their endorsement in pwMS can be considered to reflect anxiety. A modified 19-item BAI (mBAI) was created which excludes cluster one items. This removal reduced the number of MS participants considered ‘anxious’ by 21.21% (low threshold) and altered the level of anxiety severity for a further 27.27%. Conclusion: Based on these data, it is suggested that, as with depression measures, researchers and clinicians should exercise caution when using brief screening measures for anxiety in pwMS.
- Open Access
- 21 September 2012
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 7 (9) , e45536
Only Low Frequency Event-Related EEG Activity Is Compromised in Multiple Sclerosis: Insights from an Independent Component Clustering Analysis
Cognitive impairment (CI), often examined with neuropsychological tests such as the Paced Auditory Serial Addition Test (PASAT), affects approximately 65% of multiple sclerosis (MS) patients. The P3b event-related potential (ERP), evoked when an infrequent target stimulus is presented, indexes cognitive function and is typically compared across subjects' scalp electroencephalography (EEG) data. However, the clustering of independent components (ICs) is superior to scalp-based EEG methods because it can accommodate the spatiotemporal overlap inherent in scalp EEG data. Event-related spectral perturbations (ERSPs; event-related mean power spectral changes) and inter-trial coherence (ITCs; event-related consistency of spectral phase) reveal a more comprehensive overview of EEG activity. Ninety-five subjects (56 MS patients, 39 controls) completed visual and auditory two-stimulus P3b event-related potential tasks and the PASAT. MS patients were also divided into CI and non-CI groups (n = 18 in each) based on PASAT scores. Data were recorded from 128-scalp EEG channels and 4 IC clusters in the visual, and 5 IC clusters in the auditory, modality were identified. In general, MS patients had significantly reduced ERSP theta power versus controls, and a similar pattern was observed for CI vs. non-CI MS patients. The ITC measures were also significantly different in the theta band for some clusters. The finding that MS patients had reduced P3b task-related theta power in both modalities is a reflection of compromised connectivity, likely due to demyelination, that may have disrupted early processes essential to P3b generation, such as orientating and signal detection. However, for posterior sources, MS patients had a greater decrease in alpha power, normally associated with enhanced cognitive function, which may reflect a compensatory mechanism in response to the compromised early cognitive processing.
- 21 September 2012
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 7 (9) , e45536
Open AccessOnly Low Frequency Event-Related EEG Activity Is Compromised in Multiple Sclerosis: Insights from an Independent Component Clustering Analysis
Cognitive impairment (CI), often examined with neuropsychological tests such as the Paced Auditory Serial Addition Test (PASAT), affects approximately 65% of multiple sclerosis (MS) patients. The P3b event-related potential (ERP), evoked when an infrequent target stimulus is presented, indexes cognitive function and is typically compared across subjects' scalp electroencephalography (EEG) data. However, the clustering of independent components (ICs) is superior to scalp-based EEG methods because it can accommodate the spatiotemporal overlap inherent in scalp EEG data. Event-related spectral perturbations (ERSPs; event-related mean power spectral changes) and inter-trial coherence (ITCs; event-related consistency of spectral phase) reveal a more comprehensive overview of EEG activity. Ninety-five subjects (56 MS patients, 39 controls) completed visual and auditory two-stimulus P3b event-related potential tasks and the PASAT. MS patients were also divided into CI and non-CI groups (n = 18 in each) based on PASAT scores. Data were recorded from 128-scalp EEG channels and 4 IC clusters in the visual, and 5 IC clusters in the auditory, modality were identified. In general, MS patients had significantly reduced ERSP theta power versus controls, and a similar pattern was observed for CI vs. non-CI MS patients. The ITC measures were also significantly different in the theta band for some clusters. The finding that MS patients had reduced P3b task-related theta power in both modalities is a reflection of compromised connectivity, likely due to demyelination, that may have disrupted early processes essential to P3b generation, such as orientating and signal detection. However, for posterior sources, MS patients had a greater decrease in alpha power, normally associated with enhanced cognitive function, which may reflect a compensatory mechanism in response to the compromised early cognitive processing.
- 1 June 2011
- Published by Elsevier in Journal of the Neurological Sciences
- Vol. 305 (1-2) , 45-52
Change in PASAT performance correlates with change in P3 ERP amplitude over a 12-month period in multiple sclerosis patients
- 1 June 2011
- Published by Elsevier in Journal of the Neurological Sciences
- Vol. 305 (1-2) , 45-52
Change in PASAT performance correlates with change in P3 ERP amplitude over a 12-month period in multiple sclerosis patients