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Associate Professor Fatima Nasrallah
Associate Professor

Fatima Nasrallah

Email: 
Phone: 
+61 7 344 33004

Overview

Background

Dr. Nasrallah is a neuroscientist with a background in magnetic resonance and interdisciplinary brain research. She graduated with a PhD in neurochemistry and NMR from the Neuroscience Research Australia Institute (NeurRA) at the University of New South Wales in 2009. In April 2009, She spent 3 years at the Singapore Bioimaging Consortium (A*STAR) where she pioneered the use of magnetic resonance imaging as a tool in cognitive brain research in the rodent. In 2013, she was appointed as senior research fellow at the Clinical Imaging Research Center where she delved into the clinical realms of human imaging. In late 2015, she returned to Australia as a Motor Accident and Injury Commission fellow at the Queensland Brain Institute (QBI) at the University of Queensland (UQ) where she independently heads her own group. Her research spans basic and clinical brain research with the the overall aim of understanding how the brain functions in health and injury, specifically, developing methods for early diagnosis of primary biomarkers following injury and translating these findings.

Availability

Associate Professor Fatima Nasrallah is:
Available for supervision

Qualifications

  • Doctor of Philosophy, University of New South Wales

Research interests

  • Traumatic Brain Injury

    The development of translational imaging methods for the early diagnosis of brain function and prediction of patient outcome.

Research impacts

Through her work, she has established herself as one of the world experts in the area of functional brain imaging in rodent models. Her most significant contribution was made in 2014 when she demonstrated for the first time, imaging resting state functional connectivity in the mouse brain using MRI. This has made a major impact to the field especially the potential to translate such a technique in human to mouse models. This work was published in the prestigious Neuroimage journal. More impactful was the discovery that these resting state networks could detect cognition in the rat brain after a spatial learning memory task, which was also published in Neuroimage. A major contribution to the field is applying these MRI methods for clinical applications of injury and stroke. She is now leading a nationwide multicenter trial in patients with traumatic brain injury with the hope of using advanced neuroimaging methods to improve patient outcomes.

Works

Search Professor Fatima Nasrallah’s works on UQ eSpace

107 works between 2007 and 2024

21 - 40 of 107 works

2023

Other Outputs

Scanning ultrasound-mediated memory and functional improvements do not require amyloid-β reduction

Leinenga, Gerhard, To, Xuan Vinh, Bodea, Liviu-Gabriel, Youse, Jumana, Richter-Stretton, Gina, Palliyaguru, Tishila, Chicoteau, Antony, Dagley, Laura, Nasrallah, Fatima and Götz, Jürgen (2023). Scanning ultrasound-mediated memory and functional improvements do not require amyloid-β reduction.

Scanning ultrasound-mediated memory and functional improvements do not require amyloid-β reduction

2023

Conference Publication

PRECISION PSYCHIATRY IN MILITARY MENTAL HEALTH CARE

Tye, S., Nasrallah, Fatima and Lim, Alex (2023). PRECISION PSYCHIATRY IN MILITARY MENTAL HEALTH CARE. LONDON: SAGE PUBLICATIONS LTD.

PRECISION PSYCHIATRY IN MILITARY MENTAL HEALTH CARE

2023

Journal Article

Editorial: traumatic brain injury and neurodegeneration: bridging the gap

Nasrallah, Fatima and Kurniawan, Nyoman D. (2023). Editorial: traumatic brain injury and neurodegeneration: bridging the gap. Frontiers in Neuroscience, 17 1197376, 1-2. doi: 10.3389/fnins.2023.1197376

Editorial: traumatic brain injury and neurodegeneration: bridging the gap

2023

Journal Article

PREdiction and Diagnosis using Imaging and Clinical biomarkers Trial in Traumatic Brain Injury (PREDICT-TBI) study protocol: an observational, prospective, multicentre cohort study for the prediction of outcome in moderate-to-severe TBI

Nasrallah, Fatima, Bellapart, Judith, Walsham, James, Jacobson, Esther, To, Xuan Vinh, Manzanero, Silvia, Brown, Nathan, Meyer, Jason, Stuart, Janine, Evans, Tracey, Chandra, Shekhar S., Ross, Jason, Campbell, Lewis, Senthuran, Siva, Newcombe, Virginia, McCullough, James, Fleming, Jennifer, Pollard, Clifford and Reade, Michael (2023). PREdiction and Diagnosis using Imaging and Clinical biomarkers Trial in Traumatic Brain Injury (PREDICT-TBI) study protocol: an observational, prospective, multicentre cohort study for the prediction of outcome in moderate-to-severe TBI. BMJ Open, 13 (4) e067740, 1-9. doi: 10.1136/bmjopen-2022-067740

PREdiction and Diagnosis using Imaging and Clinical biomarkers Trial in Traumatic Brain Injury (PREDICT-TBI) study protocol: an observational, prospective, multicentre cohort study for the prediction of outcome in moderate-to-severe TBI

2023

Other Outputs

Registered quantitative susceptibility mapping image collection of mouse model concussion

To, Xuan Vinh and Nasrallah, Fatima (2023). Registered quantitative susceptibility mapping image collection of mouse model concussion. The University of Queensland. (Dataset) doi: 10.48610/98780e7

Registered quantitative susceptibility mapping image collection of mouse model concussion

2023

Journal Article

An end-end deep learning framework for lesion segmentation on multi-contrast MR images—an exploratory study in a rat model of traumatic brain injury

Kn, Bhanu Prakash, Cs, Arvind, Mohammed, Abdalla, Chitta, Krishna Kanth, To, Xuan Vinh, Srour, Hussein and Nasrallah, Fatima (2023). An end-end deep learning framework for lesion segmentation on multi-contrast MR images—an exploratory study in a rat model of traumatic brain injury. Medical and Biological Engineering and Computing, 61 (3), 847-865. doi: 10.1007/s11517-022-02752-4

An end-end deep learning framework for lesion segmentation on multi-contrast MR images—an exploratory study in a rat model of traumatic brain injury

2023

Journal Article

Association of sub-acute changes in plasma amino acid levels with long-term brain pathologies in a rat model of moderate-severe traumatic brain injury

To, Xuan Vinh, Mohamed, Abdalla Z., Cumming, Paul and Nasrallah, Fatima A. (2023). Association of sub-acute changes in plasma amino acid levels with long-term brain pathologies in a rat model of moderate-severe traumatic brain injury. Frontiers in Neuroscience, 16 1014081, 1-16. doi: 10.3389/fnins.2022.1014081

Association of sub-acute changes in plasma amino acid levels with long-term brain pathologies in a rat model of moderate-severe traumatic brain injury

2023

Conference Publication

Mathematically constrained intravoxel incoherent motion (IVIM)

Wang, Jiaqiu, Barrick, Thomas, Hall, Matt, Karaman, Muge, Magin, Richard, Reiter, David, Yang, Qianqian, Yu, Qiang, Nasrallah, Fatima, Koh, Weeyao and Vegh, Viktor (2023). Mathematically constrained intravoxel incoherent motion (IVIM). Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, United Kingdom, 7-12 May 2022. Concord, CA United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/3043

Mathematically constrained intravoxel incoherent motion (IVIM)

2023

Conference Publication

Style-based manifold for weakly-supervised disease characteristic discovery

Liu, Siyu, Liu, Linfeng, Engstrom, Craig, To, Xuan Vinh, Ge, Zongyuan, Crozier, Stuart, Nasrallah, Fatima and Chandra, Shekhar S. (2023). Style-based manifold for weakly-supervised disease characteristic discovery. MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, 8-12 October 2023. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-43904-9_36

Style-based manifold for weakly-supervised disease characteristic discovery

2023

Conference Publication

Learning ontology-based hierarchical structural relationship for whole brain segmentation

Lyu, Junyan, Xu, Pengxiao, Nasrallah, Fatima and Tang, Xiaoying (2023). Learning ontology-based hierarchical structural relationship for whole brain segmentation. MICCAI 2023 26th International Conference, Vancouver, BC, Canada, 8-12 October 2023. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-43901-8_37

Learning ontology-based hierarchical structural relationship for whole brain segmentation

2022

Journal Article

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks

Gao, Yang, Xiong, Zhuang, Fazlollahi, Amir, Nestor, Peter J., Vegh, Viktor, Nasrallah, Fatima, Winter, Craig, Pike, G. Bruce, Crozier, Stuart, Liu, Feng and Sun, Hongfu (2022). Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. NeuroImage, 259 119410, 1-13. doi: 10.1016/j.neuroimage.2022.119410

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks

2022

Journal Article

Traumatic brain injury alterations in the functional connectome are associated with neuroinflammation but not tau in a P30IL tauopathy mouse model

Vinh To, Xuan, Soni, Neha, Medeiros, Rodrigo, Alateeq, Khawlah and Nasrallah, Fatima A. (2022). Traumatic brain injury alterations in the functional connectome are associated with neuroinflammation but not tau in a P30IL tauopathy mouse model. Brain Research, 1789 147955, 147955. doi: 10.1016/j.brainres.2022.147955

Traumatic brain injury alterations in the functional connectome are associated with neuroinflammation but not tau in a P30IL tauopathy mouse model

2022

Journal Article

Escalation of tau accumulation after a traumatic brain injury: findings from positron emission tomography

Mohamed, Abdalla Z., Cumming, Paul, Nasrallah, Fatima A. and Alzheimer’s Disease Neuroimaging Initiative (2022). Escalation of tau accumulation after a traumatic brain injury: findings from positron emission tomography. Brain Sciences, 12 (7) 876, 1-15. doi: 10.3390/brainsci12070876

Escalation of tau accumulation after a traumatic brain injury: findings from positron emission tomography

2022

Journal Article

Deep neural networks predict the need for CT in pediatric mild traumatic brain injury: a corroboration of the PECARN rule

Ellethy, Hanem, Chandra, Shekhar S. and Nasrallah, Fatima A. (2022). Deep neural networks predict the need for CT in pediatric mild traumatic brain injury: a corroboration of the PECARN rule. Journal of the American College of Radiology, 19 (6), 769-778. doi: 10.1016/j.jacr.2022.02.024

Deep neural networks predict the need for CT in pediatric mild traumatic brain injury: a corroboration of the PECARN rule

2022

Journal Article

A mice resting-state functional magnetic resonance imaging dataset on the effects of medetomidine dosages and prior-stimulation on functional connectivity

To, Xuan Vinh and Nasrallah, Fatima A. (2022). A mice resting-state functional magnetic resonance imaging dataset on the effects of medetomidine dosages and prior-stimulation on functional connectivity. Data in Brief, 42 108279, 1-9. doi: 10.1016/j.dib.2022.108279

A mice resting-state functional magnetic resonance imaging dataset on the effects of medetomidine dosages and prior-stimulation on functional connectivity

2022

Journal Article

Subacute cytokine changes after a traumatic brain injury predict chronic brain microstructural alterations on advanced diffusion imaging in the male rat

To, Xuan Vinh, Mohamed, Abdalla Z., Cumming, Paul and Nasrallah, Fatima A. (2022). Subacute cytokine changes after a traumatic brain injury predict chronic brain microstructural alterations on advanced diffusion imaging in the male rat. Brain, Behavior, and Immunity, 102, 137-150. doi: 10.1016/j.bbi.2022.02.017

Subacute cytokine changes after a traumatic brain injury predict chronic brain microstructural alterations on advanced diffusion imaging in the male rat

2022

Journal Article

Towards data-driven group inferences of resting-state fMRI data in rodents: comparison of group ICA, GIG-ICA, and IVA-GL

To, Xuan Vinh, Vegh, Viktor and Nasrallah, Fatima A. (2022). Towards data-driven group inferences of resting-state fMRI data in rodents: comparison of group ICA, GIG-ICA, and IVA-GL. Journal of Neuroscience Methods, 366 109411, 109411. doi: 10.1016/j.jneumeth.2021.109411

Towards data-driven group inferences of resting-state fMRI data in rodents: comparison of group ICA, GIG-ICA, and IVA-GL

2022

Journal Article

Effect of proprioceptive stimulation using a soft robotic glove on motor activation and brain connectivity in stroke survivors

Nasrallah, Fatima A., Mohamed, Abdalla Z., Yap, Hong Kai, Lai, Hwa Sen, Yeow, Chen-Hua and Lim, Jeong Hoon (2022). Effect of proprioceptive stimulation using a soft robotic glove on motor activation and brain connectivity in stroke survivors. Journal of Neural Engineering, 18 (6) 066049, 066049. doi: 10.1088/1741-2552/ac456c

Effect of proprioceptive stimulation using a soft robotic glove on motor activation and brain connectivity in stroke survivors

2021

Journal Article

Neurogenic-dependent changes in hippocampal circuitry underlie the pro-cognitive effect of exercise in ageing mice

Zhou, Xiaoqing Alice, Blackmore, Daniel G., Zhuo, Junjie, Nasrallah, Fatima A., To, XuanVinh, Kurniawan, Nyoman D., Carlisle, Alison, Vien, King-Year, Chuang, Kai-Hsiang, Jiang, Tianzi and Bartlett, Perry F. (2021). Neurogenic-dependent changes in hippocampal circuitry underlie the pro-cognitive effect of exercise in ageing mice. iScience, 24 (12) 103450, 103450. doi: 10.1016/j.isci.2021.103450

Neurogenic-dependent changes in hippocampal circuitry underlie the pro-cognitive effect of exercise in ageing mice

2021

Journal Article

Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke

Cheng, Hsiao-Ju, Ng, Kwun Kei, Qian, Xing, Ji, Fang, Lu, Zhong Kang, Teo, Wei Peng, Hong, Xin, Nasrallah, Fatima Ali, Ang, Kai Keng, Chuang, Kai-Hsiang, Guan, Cuntai, Yu, Haoyong, Chew, Effie and Zhou, Juan Helen (2021). Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke. Scientific Reports, 11 (1) 8442, 8442. doi: 10.1038/s41598-021-87789-5

Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke

Funding

Current funding

  • 2024 - 2027
    National Injury Insurance Agency, Queensland
    National Injury Insurance Agency, Queensland
    Open grant
  • 2023 - 2025
    Decoding Brain-Behaviour Interactions to Inform Outcomes in Adolescents and Young Adults with Acquired Brain Injury
    Research Donation Generic
    Open grant
  • 2022 - 2025
    AUS-mTBI: designing and implementing the health informatics approaches to enhance treatment and care for people with mild TBI (MRFF Traumatic Brain Injury Mission administered by Curtin University)
    Curtin University
    Open grant
  • 2021 - 2025
    PREDICT-TBI
    Motor Accident Insurance Commission
    Open grant
  • 2020 - 2025
    PREDICT-TBI - PREdiction and Diagnosis using Imaging and Clinical biomarkers Trial in Traumatic Brain Injury: the value of Magnetic Resonance Imaging
    NHMRC MRFF Traumatic Brain Injury Mission
    Open grant

Past funding

  • 2021 - 2022
    Co-design of an occupation-based virtual reality intervention for people with cognitive impairment after brain injury
    UQ Knowledge Exchange & Translation Fund
    Open grant
  • 2021 - 2024
    Early diagnosis and prognosis of TBI sequalae: the triad of tau, amyloid and neuroinflammation
    Motor Accident Insurance Commission
    Open grant
  • 2019
    Dissolution DNP Hyperpolariser
    UQ Research Facilities Infrastructure Grants
    Open grant
  • 2018
    A specialised surgical and behavioural facility for longitudinal, multimodal examination of the rodent brain
    UQ Major Equipment and Infrastructure
    Open grant
  • 2018
    Biomolecular Imager and microscope for preclinical radiopharmaceutical development
    UQ Major Equipment and Infrastructure
    Open grant
  • 2018 - 2019
    Equipment for naturalistic sleep-wake, circadian rhythm, and stress measurement
    UQ Major Equipment and Infrastructure
    Open grant
  • 2018
    Sports concussion: informing recovery by imaging the brain abnormality in a rodent model
    UQ Early Career Researcher
    Open grant
  • 2017
    Dr Fatima Nasrallah - Maternity Funding (Advance Queensland Women's Academic Fund)
    Queensland Government Advance Queensland Women's Academic Fund
    Open grant
  • 2017 - 2019
    Exercise reverses cognitive decline in aged animals by growth hormone stimulation of neurogenesis in the hippocampus
    NHMRC Project Grant
    Open grant
  • 2015 - 2021
    MAIC QBI Senior Research Fellowship
    Motor Accident Insurance Commission
    Open grant

Supervision

Availability

Associate Professor Fatima Nasrallah is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Structural and Functional changes in aged hippocampus following exercise as detected by MRI

    Principal Advisor

  • Doctor Philosophy

    Investigating therapeutic interventions following concussion

    Principal Advisor

    Other advisors: Professor Karen Barlow

  • Doctor Philosophy

    Development of a model for prognostication of patient outcome following traumatic brain injury

    Principal Advisor

    Other advisors: Dr Shakes Chandra

  • Doctor Philosophy

    The development of precision medical care for the use of ketamine as a treatment for Australian Veterans with TRD and PTSD

    Principal Advisor

    Other advisors: Associate Professor Susannah Tye

  • Doctor Philosophy

    Development of precision medicine biomarkers for ketamine as a treatment for TRD and PTSD

    Associate Advisor

    Other advisors: Associate Professor Susannah Tye

Completed supervision

Media

Enquiries

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