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Dr. Hanna LU, Research Assistant Professor

Doctor LU Hanna                           

Research Assistant Professor          



Fax: (852) 2667-5464
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
ORCID: 0000-0002-9090-258X
Personal Website: http://thebrainx.com/



  • Associate Researcher: Shenzhen Research Institute (SZRI) CUHK (By Courtesy)


  • Individualized non-invasive brain stimulation

  • Precise measurement of neurocognitive function

  • Mechanisms of cognitive ageing and resilience

  • Neuroinformatics approach to brain science in psychiatry



  1. Decoding the cognitive trajectory of Hong Kong SuperAgers: a six-year follow-up study (Funded by CUHK Direct Grant for Research 2019/2020. Ref. number: 2019.078. Capacity: PI. Study duration: 25/06/2020-24/06/2021)
  2. LANDSCAPE 2.0: A Multimodal Neuroimaging Study (Funded by CUHK Direct Grant for Research 2018/2019. Ref. number: 2018.077. Capacity: PI. Study duration: 24/06/2019-24/06/2020)

  3. Can increasing participation in habitual intellectual activities enhance functional connectivity of default mode network in community-living Chinese adults with subjective cognitive decline? A randomized controlled trial. (Funded by Early Career Scheme, RGC 2019/2020. Capacity: Co-I. PI: Dr. Allen Lee, CUHK. Ref. number: 24114519. Study duration: 1/1/2020-31/12/2021)



  1. 2020 Travel Grants on the 61th Annual Meeting of the Japanese Society of Neurology (JSN)
  2. 2019 Best Paper Awards, China Association of Gerontology and Geriatrics (CAGG)

  3. 2019 Travel Grants on the 60th Annual Meeting of the Japanese Society of Neurology (JSN)

  4. 2019 Travel Grants on the 3rd International Taiwanese Congress of Neurology (ITCN) & Annual Meeting of Taiwan Neurological Society

  5. 2019 Traning Fellowships from the National Institute for Physiological Sciences (NIPS) (Japan)

  6. 2018 Champion & Young Investigator Awards on the International Alzheimer’s Disease Conference

  7. 2018 Young Investigator Awards on The 15th Meeting of the Asian-Pacific Society for Neurochemistry

  8. 2015 Performance Award on The 22nd International Student Congress of [Bio] Medical Sciences 2015

  9. 2015 Paper Award on The 15th Congress of Chinese Cerebrovascular Diseases

  10. 2015 Paper Award on “Putting Aging Research and Clinical Practice in Cultural Context”: US-Hong Kong Conference




  1. Lu H*. Caution of variability: Domain-specific cognition measured by Montreal Cognitive Assessment in normal ageing and prodromal dementia. International Journal of Geriatric Psychiatry 2020; 35(6), 686-687.

  2. Lu H*. Relationship between age-related frailty and intra-individual variability of reaction time in healthy seniors: implications for Parkinson's disease. Movement Disorders. 2018; 33: S25.

  3. Lu H*, Lam LC. Associations between intra-individual variability and Montreal Cognitive Assessment (MoCA) in cognitive ageing and prodromal dementia: A domain-specific perspective. Parkinsonism & Related Disorders 2018; 48:102-103.

  4. Lu H*, Lam LC. Impacts of 'two-level' variability on the differential power for Montreal Cognitive Assessment (MoCA) in prodromal dementia. Journal of Neurology, Neurosurgery and Psychiatry 2017; 88(2): 186-187.

  5. Lu H*, Chan SS, Lam LC. ‘Two-level’ measurements of processing speed as cognitive markers in the differential diagnosis of DSM-5 mild neurocognitive disorders (NCD). Scientific Reports 2017; 7.

  6. Lu H*. Intra-and inter-individual variability of information processing speed in adults with neurocognitive disorders. F1000 Research 2017; 6.

  7. Lu H*, Chan SS, Fung AW, Lam LC. Utility of Montreal Cognitive Assessment (Hong Kong Version) in the diagnosis of mild neurocognitive disorders (NCD): NCD due to Alzheimer Disease (NCD-AD) and NCD due to Vascular Disease (NCD-Vascular). Journal of the American Medical Directors Association 2016; 17(4): 366

  8. Lu H, Fung AW, Chan SS, Lam LC. Disturbance of attention network functions in Chinese healthy older adults: an intra-individual perspective. International Psychogeriatrics 2016; 28(2): 291-301.
  9. Lu H*, Chan SS, Fung AW, Lam LC. Efficiency of attentional components in elderly with mild neurocognitive disorders shown by the attention network test. Dementia and Geriatric Cognitive Disorders 2016; 41(1-2): 93-98.

  10. Lu H*, Law WY, Fung AW, Lam LC. Evaluating the Montreal Cognitive Assessment (MoCA) and its subtests for DSM-5 mild neurocognitive disorders (NCD): Does age have an effect on the screening accuracy? Journal of Psychosomatic Research 2016; 85: 26-27.

  11. Lu H*, Chan SS, Lam LC. Associations between intra-Individual variability of reaction time and cognitive function in cognitively normal senior adults: still beyond good or bad? Geriatrics 2016; 1(2): 13.


  1. Lu H*. Quantifying Age-Associated Cortical Complexity of Left Dorsolateral Prefrontal Cortex with Multiscale Measurements. Journal of Alzheimer's Disease 2020, (Preprint), 1-12.
  2. Lu H*, Ma SL, Wing WCC, Wong SWH, Lam LC. Interaction Effects of Apolipoprotein E ε 4 and Cognitive Status on the Functional Connectivity within Default Mode Network in Individuals at Risk of Cognitive Impairments. bioRxiv 2019, 565812.

  3. Lu H*. Towards a more targeted rTMS treatment for late-life depression: age-specific morphometric variance of left dorsolateral prefrontal cortex. Brain Stimulation 2017; 10(2): 365.
  4. Lu H*, Ma SL, Wong SW, Tam CW, Cheng ST, Chan SS, Lam LC. Aberrant interhemispheric functional connectivity within default mode network and its relationships with neurocognitive features in cognitively normal APOE ε 4 elderly carriers. International Psychogeriatrics 2017; 29(5): 805-814.

  5. Lu H*. Mapping the brain: the leading projects of brain science in the era of big data (in Chinese). Chinese Journal of Psychiatry 2017; 50(2):157-160.

  6. Lu H*, Ma SL, Chan SS, Lam LC. The effects of apolipoprotein ε 4 on aging brain in cognitively normal Chinese elderly: a surface-based morphometry study. International Psychogeriatrics 2016; 28(9): 1503-1511.

  7. Lu H*, Ning YP. When neuroscience meets network thinking: new perspective on brain disorders (in Chinese). Chinese Journal of Neuromedicine 2014; 13(12): 1292-1296.

  8. Lu H*, Ning YP. Advances in brain activity mapping (BAM) and brain connectome (in Chinese). Chinese Journal of Psychiatry 2014; 47(3): 179-182.


  1. Lu H, Chan SS, Chan WC, Lin CC, Cheng PW, Lam LC. Randomised Controlled Trial of TDCS on Cognition in 201 Seniors with Mild Neurocognitive Disorder. Annals of Clinical and Translational Neurology 2019; 6(10): 1938-1948.

  2. Lu H*, Lam LC, Ning YP. Toward Personalized Brain Stimulation: Advances and Challenges. CNS Neuroscience & Therapeutics 2019; 25(11): 1219-1221.

  3. Lu H*, Lam LCW. Cathodal skin lesions induced by transcranial direct current stimulation (tDCS). Neuromodulation: Technology at the Neural Interface 2019; 22(8), 989-991.

  4. Lu H*, Chan SS, Lam LC, Cheng CP, Chan WC, He HB, Zhao SH, Ning YP. Towards individualized psychiatric practice: the legacy of neurotherapeutics (in Chinese). Chinese Science Bulletin 2018; 63: 2592-2598.

 Neuropsychology & Neuroimaging

  1. Lu H*, Xi N, Fung AW, Lam LC. Mapping the Proxies of Memory and Learning Function in Senior Adults with High-performing, Normal Aging and Neurocognitive Disorders. Journal of Alzheimer's Disease 2018; 64(3): 815-826.

  2. Lu H*, Chan SSM, Fung AWT, Lam LCW. Beyond a Differential Diagnosis: Cognitive and Morphometric Decoding of Information Processing Speed in Senior Adults with DSM-5 Mild Neurocognitive Disorders. Journal of Alzheimer's Disease 2017; 58(3):927-937.

 Neuroimaging & Neuromodulation

  1. Lu H*. Developing and aging: A tale of two stages. CNS Neuroscience & Therapeutics 2020; 26(2), 281.
  2. Lu H*, Chan SS, Lam LC. Localized Analysis of Normalized Distance from Scalp to Cortex And Personalized Evaluation (LANDSCAPE): Focusing on Age-and Dementia-specific Changes. Journal of Alzheimer's Disease 2019, 64(7): 1331-1341.

  3. Lu H*, Lam LC, Ning YP. Scalp to Cortex Distance of Left Primary Motor Cortex and Its Computational Head Model: Implications for Personalized Neuromodulation. CNS Neuroscience & Therapeutics 2019; 25(11):1270-1276.