Dr Patrick Skippen

Dr Patrick Skippen

Conjoint Lecturer

School of Medicine and Public Health (Data Science and Statistics)

Career Summary

Biography

Dr. Patrick Skippen is the Head of Data Management and Health Informatics in the Data Sciences unit at the Hunter Medical Research Institute. Patrick has a Bachelor of Psychology (Honours I) and a PhD in Neuroscience. Patrick completed a Postdoctoral Research Fellowship at Neuroscience Research Australia in the Centre for Pain IMPACT in 2022. Patrick gained further experience in clinical trials as a Trial Coordinator at the Mater Oncology Research unit.

Patrick has been involved in clinical trials at various levels, ensuring accurate, secure, and adherent data capture is undertaken. He understands the needs of excellent Data Management principles at all levels, from site level data capture, through to whole study data monitoring and beyond. Patrick is an advisor to the Australian Clinical Trials Education Centre and is currently developing a Data Management training course. Patrick holds Good Clinical Practice certification.

Patrick provides advice and support on a consultancy basis in Data Management to several national and international research groups. As an HMRI REDCap administrator, Patrick oversees some 1,500+ research studies. He is ranked 8th in Australia in REDCap and 93rd worldwide. As Head of Data Management and Health Informatics, Patrick oversees a team of skills staff to design, build, and maintain research databases across a wide variety of therapeutic areas. The Data Management team at HMRI have experience in dozens of registry designs, including several national registries. Patrick also provides and manages Clinical Data Management support for a wide variety of studies, including several large multi-national studies. In this role, Patrick and the larger Data Management unit overseas data quality checks, actions data requests, maintains the integrity and security of patient data, and provides expert advice and assistance on Data Management needs.

He is a member of the Society for Clinical Research Sites, Australian Clinical Trials Education Centre (A-CTEC), NSW Regional Health Partners, Australasian Brain Stimulation Society, and the Australasian Cognitive Neuroscience Society.


Qualifications

  • Doctor of Philosophy, University of Newcastle
  • Bachelor Psychology Honours, University of Newcastle

Keywords

  • Clinical Trials
  • Data Linkage
  • Data Management
  • Health Informatics

Fields of Research

Code Description Percentage
460599 Data management and data science not elsewhere classified 30
460501 Data engineering and data science 30
460505 Database systems 40

Professional Experience

Academic appointment

Dates Title Organisation / Department
1/1/2020 - 31/12/2022 Postdoctoral Research Fellow Neuroscience Research Australia

Professional appointment

Dates Title Organisation / Department
8/7/2024 -  Head of Data Management and Health Informatics Hunter Medical Research Institute
Data Sciences
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Conference (1 outputs)

Year Citation Altmetrics Link
2018 Karayanidis F, Skippen P, McKewen M, Wong A, Michie P, Lenroot R, Cooper P, 'VARIABILITY IN COGNITIVE CONTROL AND REWARD DRIVE IN ADOLESCENCE AND YOUNG ADULTHOOD: IMPACT ON RISK BEHAVIOURS', PSYCHOPHYSIOLOGY, Quebec City, CANADA (2018)
Co-authors Aaron Wong, Pat Michie, Frini Karayanidis

Journal article (7 outputs)

Year Citation Altmetrics Link
2024 Millard SK, Speis DB, Skippen P, Chiang AKI, Chang W-J, Lin AJ, Furman AJ, Mazaheri A, Seminowicz DA, Schabrun SM, 'Can non-invasive brain stimulation modulate peak alpha frequency in the human brain? A systematic review and meta-analysis', EUROPEAN JOURNAL OF NEUROSCIENCE, 60, 4182-4200 (2024) [C1]

Peak alpha frequency (PAF), the dominant oscillatory frequency within the alpha range (8¿12 Hz), is associated with cognitive function and several neurological conditio... [more]

Peak alpha frequency (PAF), the dominant oscillatory frequency within the alpha range (8¿12 Hz), is associated with cognitive function and several neurological conditions, including chronic pain. Manipulating PAF could offer valuable insight into the relationship between PAF and various functions and conditions, potentially providing new treatment avenues. This systematic review aimed to comprehensively synthesise effects of non-invasive brain stimulation (NIBS) on PAF speed. Relevant studies assessing PAF pre- and post-NIBS in healthy adults were identified through systematic searches of electronic databases (Embase, PubMed, PsychINFO, Scopus, The Cochrane Library) and trial registers. The Cochrane risk-of-bias tool was employed for assessing study quality. Quantitative analysis was conducted through pairwise meta-analysis when possible; otherwise, qualitative synthesis was performed. The review protocol was registered with PROSPERO (CRD42020190512) and the Open Science Framework (https://osf.io/2yaxz/). Eleven NIBS studies were included, all with a low risk-of-bias, comprising seven transcranial alternating current stimulation (tACS), three repetitive transcranial magnetic stimulation (rTMS), and one transcranial direct current stimulation (tDCS) study. Meta-analysis of active tACS conditions (eight conditions from five studies) revealed no significant effects on PAF (mean difference [MD] = -0.12, 95% CI = -0.32 to 0.08, p = 0.24). Qualitative synthesis provided no evidence that tDCS altered PAF and moderate evidence for transient increases in PAF with 10¿Hz rTMS. However, it is crucial to note that small sample sizes were used, there was substantial variation in stimulation protocols, and most studies did not specifically target PAF alteration. Further studies are needed to determine NIBS's potential for modulating PAF.

DOI 10.1111/ejn.16424
Citations Scopus - 7Web of Science - 1
Co-authors Weiju Chang
2024 Singh M, Skippen P, He J, Thomson P, Fuelscher I, Caeyenberghs K, Anderson V, Hyde C, Silk TJ, 'Developmental patterns of inhibition and fronto-basal-ganglia white matter organisation in healthy children and children with attention-deficit/hyperactivity disorder', HUMAN BRAIN MAPPING, 45 (2024) [C1]
DOI 10.1002/hbm.70010
2021 McKewen M, Cooper PS, Skippen P, Wong ASW, Michie PT, Karayanidis F, 'Dissociable theta networks underlie the switch and mixing costs during task switching', HUMAN BRAIN MAPPING, 42, 4643-4657 (2021) [C1]

During task-switching paradigms, both event-related potentials and time-frequency analyses show switch and mixing effects at frontal and parietal sites. Switch and mixi... [more]

During task-switching paradigms, both event-related potentials and time-frequency analyses show switch and mixing effects at frontal and parietal sites. Switch and mixing effects are associated with increased power in broad frontoparietal networks, typically stronger in the theta band (~4¿8¿Hz). However, it is not yet known whether mixing and switch costs rely upon common or distinct networks. In this study, we examine proactive and reactive control networks linked to task switching and mixing effects, and whether strength of connectivity in these networks is associated with behavioural outcomes. Participants (n¿= 197) completed a cued-trials task-switching paradigm with concurrent electroencephalography, after substantial task practice to establish strong cue-stimulus¿response representations. We used inter-site phase clustering, a measure of functional connectivity across electrode sites, to establish cross-site connectivity from a frontal and a parietal seed. Distinct theta networks were activated during proactive and reactive control periods. During the preparation interval, mixing effects were associated with connectivity from the frontal seed to parietal sites, and switch effects with connectivity from the parietal seed to occipital sites. Lateralised occipital connectivity was common to both switch and mixing effects. After target onset, frontal and parietal seeds showed a similar pattern of connectivity across trial types. These findings are consistent with distinct and common proactive control networks and common reactive networks in highly practised task-switching performers.

DOI 10.1002/hbm.25573
Citations Scopus - 1Web of Science - 13
Co-authors Frini Karayanidis, Aaron Wong, Pat Michie
2020 Skippen P, Fulham WR, Michie PT, Matzke D, Heathcote A, Karayanidis F, 'Reconsidering electrophysiological markers of response inhibition in light of trigger failures in the stop-signal task', Psychophysiology, 57 (2020) [C1]
DOI 10.1111/psyp.13619
Citations Scopus - 2Web of Science - 1
Co-authors Pat Michie, Frini Karayanidis, Ajheathcote
2019 Cooper PS, Karayanidis F, McKewen M, McLellan-Hall S, Wong ASW, Skippen P, Cavanagh JF, 'Frontal theta predicts specific cognitive control-induced behavioural changes beyond general reaction time slowing', NEUROIMAGE, 189, 130-140 (2019) [C1]

Investigations into the neurophysiological underpinnings of control suggest that frontal theta activity is increased with the need for control. However, these studies t... [more]

Investigations into the neurophysiological underpinnings of control suggest that frontal theta activity is increased with the need for control. However, these studies typically show this link by reporting associations between increased theta and RT slowing ¿ a process that is contemporaneous with cognitive control but does not strictly reflect the specific use of control. In this study, we assessed frontal theta responses that underpinned the switch cost in task switching ¿ a specific index of cognitive control that does not rely exclusively on RT slowing. Here, we utilised a single-trial regression approach to assess 1) how cognitive control demands beyond simple RT slowing were linked to midfrontal theta and 2) whether midfrontal theta effects remained stable over time. In a large cohort that included a longitudinal subsample, we found that midfrontal theta was modulated by switch costs, with enhanced theta power when preparing to switch vs. repeating a task. These effects were reliable after a two-year interval (Cronbach's a.39-0.74). In contrast, we found that trial-by-trial modulations of midfrontal theta power predicted the size of the switch cost ¿ so that switch trials with increased theta produced smaller switch costs. Interestingly, these relationships between theta and behaviour were less stable over time (Cronbach's a 0-0.61), with participants first using both delta and theta bands to influence behaviour whereas after two years only theta associations with behaviour remained. Together, these findings suggest midfrontal theta supports the need for control beyond simple RT slowing and reveal that midfrontal theta effects remain relatively stable over time.

DOI 10.1016/j.neuroimage.2019.01.022
Citations Scopus - 1Web of Science - 97
Co-authors Aaron Wong, Frini Karayanidis
2019 Skippen P, Matzke D, Heathcote A, Fulham WR, Michie P, Karayanidis F, 'Reliability of triggering inhibitory process is a better predictor of impulsivity than SSRT', ACTA PSYCHOLOGICA, 192, 104-117 (2019) [C1]

The ability to control behaviour is thought to rely at least partly on adequately suppressing impulsive responses to external stimuli. However, the evidence for a relat... [more]

The ability to control behaviour is thought to rely at least partly on adequately suppressing impulsive responses to external stimuli. However, the evidence for a relationship between response inhibition ability and impulse control is weak and inconsistent. This study investigates the relationship between response inhibition and both self-report and behavioural measures of impulsivity as well as engagement in risky behaviours in a large community sample (N = 174) of healthy adolescents and young adults (15¿35 years). Using a stop-signal paradigm with a number parity go task, we implemented a novel hierarchical Bayesian model of response inhibition that estimates stop-signal reaction time (SSRT) as a distribution and also accounts for failures to react to the stop-signal (i.e., "trigger failure"), and failure to react to the choice stimulus (i.e., "go failure" or omission errors). In line with previous studies, the model reduced estimates of SSRT by approximately 100 ms compared with traditional non-parametric SSRT estimation techniques. We found significant relationships between behavioural and self-report measures of impulsivity and traditionally estimated SSRT, that did not hold for the model-based SSRT estimates. Instead, behavioural impulsivity measures were correlated with rate of trigger failure. The relationship between trigger failure and impulsivity suggests that the former may index a higher order inhibition process, whereas SSRT may index a more automatic inhibition process. We suggest that the existence of distinct response inhibition processes that may be associated with different levels of cognitive control.

DOI 10.1016/j.actpsy.2018.10.016
Citations Scopus - 5Web of Science - 42
Co-authors Pat Michie, Frini Karayanidis, Ajheathcote
2019 McKewen M, Skippen P, Cooper PS, Wong ASW, Michie PT, Lenroot R, Karayanidis F, 'Does cognitive control ability mediate the relationship between reward-related mechanisms, impulsivity, and maladaptive outcomes in adolescence and young adulthood?', Cognitive, Affective and Behavioral Neuroscience, 19, 653-676 (2019) [C1]
DOI 10.3758/s13415-019-00722-2
Citations Scopus - 2Web of Science - 1
Co-authors Frini Karayanidis, Aaron Wong, Pat Michie
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Preprint (3 outputs)

Year Citation Altmetrics Link
2025 Dizon JA, Barker D, Hure A, Oldmeadow C, Skippen P, Acharya S, 'Does the Diabetes Alliance Program Improve Longer-term Health Outcomes of Patients with Type 2 Diabetes Attending Primary Care Practices? A Target Trial Protocol for Emulating a Cluster Trial Using Linked General practice and Tertiary Health Data' (2025)
DOI 10.1101/2025.05.13.25327569
Co-authors Alexis Hure, Daniel Barker, Christopher Oldmeadow
2023 Millard SK, Speis DB, Skippen P, Chiang AKI, Chang WJ, Lin AJ, Furman AJ, Mazaheri A, Seminowicz DA, Schabrun SM, 'Can non-invasive brain stimulation modulate peak alpha frequency in the human brain? A systematic review and meta-analysis' (2023)
DOI 10.1101/2023.11.13.566909
Co-authors Weiju Chang
2021 Jenkins L, Chang W-J, Buscemi V, Liston M, Skippen P, Cashin A, et al., 'Low somatosensory cortex excitability in the acute stage of low back pain causes chronic pain (2021)
DOI 10.1101/2021.02.18.21251719
Co-authors Weiju Chang
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Research Supervision

Number of supervisions

Completed0
Current1

Current Supervision

Commenced Level of Study Research Title Program Supervisor Type
2023 PhD Developing Novel Methods For Evaluating Non-Randomised Pragmatic Interventions For Improving Diabetes Management In Regional, Rural and Remote areas Statistics, School of Medicine and Public Health | University of Newcastle Co-Supervisor
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Dr Patrick Skippen

Position

Conjoint Lecturer
HMRI Data Sciences
School of Medicine and Public Health
College of Health, Medicine and Wellbeing

Focus area

Data Science and Statistics

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