Dr Oun Al-Iedani

Dr Oun Al-Iedani

Postdoctoral Researcher

School of Health Sciences

Career Summary

Biography

Dr Al-iedani is a Postdoctoral Researcher at the HMRI Imaging Center, College of Health, Medicine and Wellbeing. He received his PhD from the School of Health Sciences, The University of Newcastle in 2020. Oun’s PhD designed and implemented a novel FAST MRSI technique and multi-voxel segmentation method to map the neurometabolic profiles of Multiple Sclerosis patients and healthy control subjects.

Qualifications

  • Doctorate in Magnetic Resonance in Medicine, University of Newcastle
  • Master in Science, University of Basrah - Iraq

Keywords

  • Data post processing
  • FAST MRSI
  • Image Processing
  • In vivo diffusion studies
  • Magnetic Resonance Imaging (MRI)
  • Magnetic Resonance Spectroscopy (MRS)
  • Multiple Sclerosis (MS)

Languages

  • English (Fluent)
  • Arabic (Mother)

Fields of Research

Code Description Percentage
510502 Medical physics 30
400304 Biomedical imaging 30
320999 Neurosciences not elsewhere classified 40

Professional Experience

UON Appointment

Title Organisation / Department
Postdoctoral Researcher University of Newcastle
School of Health Sciences
Australia

Academic appointment

Dates Title Organisation / Department
6/1/2020 -  Postdoctoral Researcher School of Health Sciences, Faculty of Health and Medicine, University of Newcastle
Australia
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Journal article (10 outputs)

Year Citation Altmetrics Link
2021 Arm J, Oeltzschner G, Al-iedani O, Lea R, Lechner-Scott J, Ramadan S, 'Altered in vivo brain GABA and glutamate levels are associated with multiple sclerosis central fatigue', European Journal of Radiology, 137 (2021) [C1]

Purpose: Fatigue is a common symptom in patients with multiple sclerosis (MS) with unknown pathophysiology. Dysfunction of the GABAergic/glutamatergic pathways involving inhibitor... [more]

Purpose: Fatigue is a common symptom in patients with multiple sclerosis (MS) with unknown pathophysiology. Dysfunction of the GABAergic/glutamatergic pathways involving inhibitory and excitatory neurotransmitters such as ¿-aminobutyric acid (GABA) and glutamine + glutamate pool (Glx) have been implicated in several neurological disorders. This study is aimed to evaluate the potential role of GABA and Glx in the origin of central fatigue in relapse remitting MS (RRMS) patients. Methods: 24 RRMS patients and 16 age- and sex-matched healthy controls (HC) were scanned using Mescher-Garwood point resolved spectroscopy (MEGA-PRESS) with a 3 T system to quantify GABA+ and Glx from prefrontal (PFC) and sensorimotor (SMC) cortices. Self-reported fatigue status was measured on all participants using the Modified Fatigue Impact Scale (MFIS). Results: RRMS patients had higher fatigue scores relative to HC (p = 0.05). Compared to HC, Glx levels in RRMS patients were significantly decreased in SMC (p = 0.04). Significant correlations were found between fatigue scores and GABA+ (r = -0.531, p = 0.008) and Glx (r = 0.511, p = 0.018) in PFC. Physical fatigue was negatively correlated with GABA+ in SMC and PFC (r = -0.428 and -0.472 respectively, p = 0.04) and positively with PFC Glx (r = 0.480, p = 0.028). Conclusion: The associations between fatigue and GABA + and Glx suggest that there might be dysregulation of GABAergic/glutamatergic neurotransmission in the pathophysiological mechanism of central fatigue in MS.

DOI 10.1016/j.ejrad.2021.109610
Co-authors Jeannette Lechnerscott, Saadallah Ramadan
2021 ARM J, Al-iedani O, Ribbons K, Lea R, Lechner-Scott J, Ramadan S, 'Biochemical Correlations with Fatigue in Multiple Sclerosis Detected by MR 2D Localized Correlated Spectroscopy', Journal of Neuroimaging, 31 508-516 (2021) [C1]
DOI 10.1111/jon.12836
Co-authors Jeannette Lechnerscott, Saadallah Ramadan
2020 Al-iedani O, Ribbons K, Gholizadeh N, Lechner-Scott J, Quadrelli S, Lea R, et al., 'Spiral MRSI and tissue segmentation of normal-appearing white matter and white matter lesions in relapsing remitting multiple sclerosis patients', MAGNETIC RESONANCE IMAGING, 74 21-30 (2020) [C1]
DOI 10.1016/j.mri.2020.09.001
Citations Scopus - 1Web of Science - 1
Co-authors Jeannette Lechnerscott, Saadallah Ramadan
2019 Quadrelli S, Ribbons K, Arm J, Al-iedani O, Lechner-Scott J, Lea R, Ramadan S, '2D in-vivo L-COSY spectroscopy identifies neurometabolite alterations in treated multiple sclerosis', THERAPEUTIC ADVANCES IN NEUROLOGICAL DISORDERS, 12 (2019) [C1]
DOI 10.1177/1756286419877081
Citations Scopus - 3Web of Science - 3
Co-authors Saadallah Ramadan, Jeannette Lechnerscott
2019 Gholizadeh N, Greer PB, Simpson J, Fu C, Al-iedani O, Lau P, et al., 'Supervised risk predictor of central gland lesions in prostate cancer using

Background: Due to the histological heterogeneity of the central gland, accurate detection of central gland prostate cancer remains a challenge. Purpose: To evaluate the efficacy ... [more]

Background: Due to the histological heterogeneity of the central gland, accurate detection of central gland prostate cancer remains a challenge. Purpose: To evaluate the efficacy of in vivo 3D H MR spectroscopic imaging (3D H MRSI) with a semi-localized adiabatic selective refocusing (sLASER) sequence and gradient-modulated offset-independent adiabatic (GOIA) pulses for detection of central gland prostate cancer. Additionally four risk models were developed to differentiate 1) normal vs. cancer, 2) low- vs. high-risk cancer, 3) low- vs. intermediate-risk cancer, and 4) intermediate- vs. high-risk cancer voxels. Study Type: Prospective. Subjects: Thirty-six patients with biopsy-proven central gland prostate cancer. Field Strength/Sequence: 3T MRI / 3D H MRSI using GOIA-sLASER. Assessment: Cancer and normal regions of interest (ROIs) were selected by an experienced radiologist and H MRSI voxels were placed within the ROIs to calculate seven metabolite signal ratios. Voxels were split into two subsets, 80% for model training and 20% for testing. Statistical Tests: Four support vector machine (SVM) models were built using the training dataset. The accuracy, sensitivity, and specificity for each model were calculated for the testing dataset. Results: High-quality MR spectra were obtained for the whole central gland of the prostate. The normal vs. cancer diagnostic model achieved the highest predictive performance with an accuracy, sensitivity, and specificity of 96.2%, 95.8%, and 93.1%, respectively. The accuracy, sensitivity, and specificity of the low- vs. high-risk cancer and low- vs. intermediate-risk cancer models were 82.5%, 89.2%, 70.2%, and 73.0%, 84.7%, 60.8%, respectively. The intermediate- vs. high-risk cancer model yielded an accuracy, sensitivity, and specificity lower than 55%. Data Conclusion: The GOIA-sLASER sequence with an external phased-array coil allows for fast assessment of central gland prostate cancer. The classification offers a promising diagnostic tool for discriminating normal vs. cancer, low- vs. high-risk cancer, and low- vs. intermediate-risk cancer. Level of Evidence: 2. Technical Efficacy: Stage 2. J. Magn. Reson. Imaging 2019;50:1926¿1936. 1 1 1 1

DOI 10.1002/jmri.26803
Citations Scopus - 2Web of Science - 1
Co-authors Peter Greer, Saadallah Ramadan
2019 Arm J, Al-Iedani O, Lea R, Lechner-Scott J, Ramadan S, 'Diurnal variability of cerebral metabolites in healthy human brain with two-dimensional localised correlation spectroscopy (2D L-COSY)', J Magn Reson Imaging, 50 592-601 (2019) [C1]
Citations Scopus - 6Web of Science - 5
Co-authors Saadallah Ramadan, Jeannette Lechnerscott
2018 Al-iedani O, Arm J, Ribbons K, Lea RL, Lechner-Scott J, Ramadan S, 'Diurnal Stability and Long-Term Repeatability of Neurometabolites Using Single Voxel 1H Magnetic Resonance Spectroscopy', European Journal of Radiology, 108 107-113 (2018) [C1]
DOI 10.1016/j.ejrad.2018.09.020
Citations Scopus - 4Web of Science - 4
Co-authors Jeannette Lechnerscott, Saadallah Ramadan
2018 Arm J, Al-Iedani O, Quadrelli S, Ribbons K, Lea R, Lechner-Scott J, Ramadan S, 'Reliability of neurometabolite detection with two-dimensional localized correlation spectroscopy at 3T', J Magn Reson Imaging, 48 1559-1569 (2018) [C1]
DOI 10.1002/jmri.26036
Citations Scopus - 3Web of Science - 3
Co-authors Saadallah Ramadan, Jeannette Lechnerscott
2017 Oun A-I, Lechner-Scott J, Ribbons K, Ramadan S, 'Fast magnetic resonance spectroscopic imaging techniques in human brain-applications in multiple sclerosis', JOURNAL OF BIOMEDICAL SCIENCE, 24 (2017) [C1]
DOI 10.1186/s12929-017-0323-2
Citations Scopus - 15Web of Science - 13
Co-authors Jeannette Lechnerscott, Saadallah Ramadan
Al-Iedani O, Ribbons K, Lea R, Ramadan S, Lechner-Scott J, 'A Longitudinal, Observational Study of the Effect of Dimethyl Fumarate on Hippocampal Metabolites in RRMS using 1H-MR Spectroscopy', Journal of Biomedical Sciencies, 7
DOI 10.4172/2254-609x.100095
Show 7 more journal articles

Conference (12 outputs)

Year Citation Altmetrics Link
2020 Al-iedani O, Ribbons K, Lea R, Ramadan S, Lechner-Scott J, 'The effect of Dimethyl fumarate treatment on prefrontal cortex metabolite levels in RRMS using H-1-MR spectroscopy', MULTIPLE SCLEROSIS JOURNAL, Melbourne, AUSTRALIA (2020)
Co-authors Saadallah Ramadan, Jeannette Lechnerscott
2020 Alshehri A, Al-Iedani O, Golizadeh N, Lea R, Lechner-Scott J, Ramadan S, 'Is Diffusion Tensor Imaging sensitive to identify clinical differences between early RRMS and Healthy Controls?', MULTIPLE SCLEROSIS JOURNAL, Melbourne, AUSTRALIA (2020)
Co-authors Saadallah Ramadan, Jeannette Lechnerscott
2019 Al-iedani O, Ribbons K, Golizadeh N, Andronesi O, Lechner-Scott J, Lea R, Ramadan S, 'Evaluation of metabolic alterations in the MS brain using fast Spiral MRSI and machine learning', MULTIPLE SCLEROSIS JOURNAL, Sydney, AUSTRALIA (2019)
Co-authors Saadallah Ramadan, Jeannette Lechnerscott
2018 Quadrelli S, Ribbons K, Lea R, Arm J, Al-Iedani O, Ramadan S, Lechner-Scott J, 'Can MR spectroscopy predict multiple sclerosis and its clinical symptoms?', MULTIPLE SCLEROSIS JOURNAL, Berlin, GERMANY (2018)
Co-authors Jeannette Lechnerscott, Saadallah Ramadan
2017 Ribbons KA, Arm J, Lea R, Ramadan S, Al-iedani O, Lechner-Scott J, 'Metabolites in the posterior cingulate cortex are correlated to clinical symptoms in relapsing remitting multiple sclerosis' (2017)
Co-authors Jeannette Lechnerscott, Saadallah Ramadan
2017 Ribbons K, Arm J, Lea R, Ramadan S, Al-Iedani O, Lechner-Scott J, 'Metabolites in the posterior cingulate cortex are correlated to clinical symptoms in relapsing remitting multiple sclerosis', Sydney (2017)
Co-authors Saadallah Ramadan
2017 Al-Iedani O, Ribbons KA, Lea R, Ramadan S, Lechner-Scott J, 'The effect of dimethyl fumarate treatment on hippocampal metabolite levels in RRMS using H-1-MR spectroscopy', MULTIPLE SCLEROSIS JOURNAL, Paris, FRANCE (2017)
Co-authors Jeannette Lechnerscott, Saadallah Ramadan
2017 Luchow S, Quadrelli S, Arm J, Al-iedani O, Skehan K, Fisher K, et al., 'Fully automated morphometric brain volume extraction vs FreeSurfer', Fully automated morphometric brain volume extraction vs FreeSurfer, Honolulu, HI, USA (2017)
Co-authors Saadallah Ramadan
2017 Al-iedani O, Ribbons K, Arm J, Lechner-Scott J, Ramadan S, 'Diurnal effects on brain MRI volume and 1D MR neurospectroscopy', Honolulu, HI, USA (2017)
Co-authors Saadallah Ramadan, Jeannette Lechnerscott
2017 Skehan K, arm J, Luchow S, Al-iedani O, Schmitt B, Ramadan S, 'Diurnal effects on Intracranial Brain Volume using Auto Segmented MRI', Newcastle (2017)
Co-authors Saadallah Ramadan
2015 Ribbons K, Quadrelli S, Lechner-Scott J, Al-Iedani O, Arm J, Ramadan S, '2D MR spectroscopy can identify molecules differentiating MS from healthy controls', MULTIPLE SCLEROSIS JOURNAL (2015) [O1]
Co-authors Saadallah Ramadan, Jeannette Lechnerscott
2015 Ribbons K, Quadrelli S, Lechner-Scott J, Al-Iedani O, Arm J, Mountford C, Ramadan S, '2D MR spectroscopy can identify molecules differentiating MS from healthy controls', MULTIPLE SCLEROSIS JOURNAL (2015) [E3]
Co-authors Saadallah Ramadan, Jeannette Lechnerscott
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Grants and Funding

Summary

Number of grants 2
Total funding $70,000

Click on a grant title below to expand the full details for that specific grant.


20201 grants / $20,000

Mitochondrial agents for the treatment of fatigue and depression in MS: An Advanced Magnetic Resonance Evaluation$20,000

Bench Fees

Funding body: Royal Embassy of Saudi Arabia

Funding body Royal Embassy of Saudi Arabia
Project Team

Associate Professor Saadallah Ramadan, Conjoint Professor Jeannette Lechner-Scott, Dr Oun Al-Iedani

Scheme Bench Fee
Role Investigator
Funding Start 2020
Funding Finish 2021
GNo
Type Of Funding C3232 - International Govt - Other
Category 3232
UON N

20191 grants / $50,000

Can mindfulness or exercise based approaches reduce fatigue in multiple sclerosis patients?$50,000

Funding body: Hunter Medical Research Institute (HMRI)

Funding body Hunter Medical Research Institute (HMRI)
Project Team

Doctor Vicki Maltby, Dr Oun Al-iedani

Scheme Research Grant
Role Investigator
Funding Start 2019
Funding Finish 2020
GNo
Type Of Funding C3112 - Aust Not for profit
Category 3112
UON N
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Research Supervision

Number of supervisions

Completed1
Current3

Current Supervision

Commenced Level of Study Research Title Program Supervisor Type
2021 PhD Systematic Magnetic Resonance Data Management Applied in Multidisciplinary Human Pathologies and Biochemical Metabolic Pathway Analysis PhD (Magnet Resonance in Med), College of Health, Medicine and Wellbeing, The University of Newcastle Co-Supervisor
2019 PhD Mitochondrial agents for the treatment of fatigue and depression in MS: An Advanced Magnetic Resonance Evaluation PhD (Magnet Resonance in Med), College of Health, Medicine and Wellbeing, The University of Newcastle Co-Supervisor
2018 PhD Diffusion Tensor Tractography Evaluation for White Matter Damage in MS Patients PhD (Magnet Resonance in Med), College of Health, Medicine and Wellbeing, The University of Newcastle Co-Supervisor

Past Supervision

Year Level of Study Research Title Program Supervisor Type
2020 Honours Detecting Magnetic Resonance Changes in Brain Structure and Function During Stroke Rehabilitation
Jonathan was tasked with designing and writing a software pipeline to manage Magnetic Resonance Spectroscopy results data obtained from a feasibility study on stroke rehabilitation and analysing the results in the context of clinical motor function assessment measures. The small sample size of MR results among the cohort of stroke patients was not intended to be statistically powered for significance tests, although interesting correlations were revealed with biomarkers of neuronal health and inflammation.
Medical Science, College of Health, Medicine and Wellbeing, University of Newcastle Co-Supervisor
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Dr Oun Al-Iedani

Position

Postdoctoral Researcher
School of Health Sciences
College of Health, Medicine and Wellbeing

Contact Details

Email oun.aliedani@newcastle.edu.au
Phone (02) 404-20019
Link Research Networks

Office

Room 1705
Building HMRI-Imaging Centre
Location HMRI

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