Dr. Joanne Kenney
Research Fellow, Trinity Inst. of Neurosciences (TCIN)
Research Fellow, Psychology
Dr Kenney is a Research Fellow in the School of Psychology & Trinity College Institute of Neuroscience. Her research focuses on the use of brain imaging technology (MRI,EEG) to understand psychiatric, neurological and ageing conditions. Joanne is currently Lead Principal Investigator on an international consortium (ENIGMA - http://enigma.ini.usc.edu/) working with collaborators at University of Southern California and University of Utah where she uses advanced neuroimaging techniques and machine learning to uncover biomarkers of psychiatric illness in individuals with brain injury.
Joanne is funded by the Irish Research Council for her current Research Fellow position at Trinity College Dublin.
She received a BEng in Electronic and Computer Engineering (2006) and a Higher Diploma in Psychology (2009) from the National University of Ireland, Galway, an MSc in Cognitive & Clinical Neuroscience (2011) from the University of London and a PhD in Medicine (Anatomy) (2017) from the National University of Ireland, Galway.
In 2020, Joanne was named an Early Career Awardee with Schizophrenia International Research Society. In 2018, Joanne was runner-up for the Neuroscience Ireland Early-Career Investigator Award and was awarded the Royal College of Medicine in Ireland Research Award in 2017 and 2018.
Publications and Further Research Outputs
Nunes A, Schnack HG, Ching CRK, Agartz I, Akudjedu TN, Alda M, Alnæs D, Alonso-Lana S, Bauer J, Baune BT, Bøen E, Bonnin CDM, Busatto GF, ENIGMA Bipolar Disorders Working Group, Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group., Molecular psychiatry, 2018
Forcellini, G., O'Donoghue, S., Kenney, J., McInerney, S., Scanlon, C., Nabulsi, L., McPhilemy, G., Kilmartin, L., O'Hora, D., Hallahan, B., Cannon, D.M., McDonald, C., Structural connectivity and rich-club organization in recent onset psychosis, Schizophrenia Research, 192, 2018, p477-478
Kenney J, Kelleher I, Healy C, Dooley N, Carey E, Adair A, Campbell D, Coughlan H, O" Hanlon E, Cannon M, T83. PROCESSING SPEED PERFORMANCE AND FUNCTIONING IN YOUNG ADOLESCENTS EXPERIENCING AUDITORY HALLUCINATIONS., Schizophrenia bulletin, 2018
Akudjedu, T.N., Nabulsi, L., Makelyte, M., Scanlon, C., Hehir, S., Casey, H., Ambati, S., Kenney, J., O?Donoghue, S., McDermott, E., Kilmartin, L., Dockery, P., McDonald, C., Hallahan, B., Cannon, D.M., A comparative study of segmentation techniques for the quantification of brain subcortical volume, Brain Imaging and Behavior, 2018, p1-18
Kenney, J.P.M., McPhilemy, G., Scanlon, C., Najt, P., McInerney, S., Arndt, S., Scherz, E., Byrne, F., Leemans, A., Jeurissen, B., Hallahan, B., McDonald, C., Cannon, D.M., The arcuate fasciculus network and verbal deficits in psychosis, Translational Neuroscience, 8, (1), 2017, p117-126
Hibar, D.P., Westlye, L.T., Van Erp, T.G.M., Rasmussen, J., Leonardo, C.D., Faskowitz, J., Haukvik, U.K., Hartberg, C.B., Doan, N.T., Agartz, I., Dale, A.M., Gruber, O., Krämer, B., Trost, S., Liberg, B., Abé, C., Ekman, C.J., Ingvar, M., Landén, M., Fears, S.C., Freimer, N.B., Bearden, C.E., Sprooten, E., Glahn, D.C., Pearlson, G.D., Emsell, L., Kenney, J., Scanlon, C., McDonald, C., Cannon, D.M., Almeida, J., Versace, A., Caseras, X., Lawrence, N.S., Phillips, M.L., Dima, D., Delvecchio, G., Frangou, S., Satterthwaite, T.D., Wolf, D., Houenou, J., Henry, C., Malt, U.F., BØen, E., Elvs'shagen, T., Young, A.H., Lloyd, A.J., Goodwin, G.M., Mackay, C.E., Bourne, C., Bilderbeck, A., Abramovic, L., Boks, M.P., Van Haren, N.E.M., Ophoff, R.A., Kahn, R.S., Bauer, M., Pfennig, A., Alda, M., Hajek, T., Mwangi, B., Soares, J.C., Nickson, T., Dimitrova, R., Sussmann, J.E., Hagenaars, S., Whalley, H.C., McIntosh, A.M., Thompson, P.M., Andreassen, O.A., Subcortical volumetric abnormalities in bipolar disorder, Molecular Psychiatry, 21, (12), 2016, p1710-1716
Quigley, S.J., Scanlon, C., Kilmartin, L., Emsell, L., Langan, C., Hallahan, B., Murray, M., Waters, C., Waldron, M., Hehir, S., Casey, H., McDermott, E., Ridge, J., Kenney, J., O'Donoghue, S., Nannery, R., Ambati, S., McCarthy, P., Barker, G.J., Cannon, D.M., McDonald, C., Volume and shape analysis of subcortical brain structures and ventricles in euthymic bipolar I disorder, Psychiatry Research - Neuroimaging, 233, (3), 2015, p324-330
Kenney J, Anderson-Schmidt H, Scanlon C, Arndt S, Scherz E, McInerney S, McFarland J, Byrne F, Ahmed M, Donohoe G, Hallahan B, McDonald C, Cannon D.M, Cognitive course in first-episode psychosis and clinical correlates: A 4year longitudinal study using the MATRICS Consensus Cognitive Battery, Schizophrenia Research, 169, (1-3), 2015, p101 - 108
Scanlon, C., Anderson-Schmidt, H., Kilmartin, L., McInerney, S., Kenney, J., McFarland, J., Waldron, M., Ambati, S., Fullard, A., Logan, S., Hallahan, B., Barker, G.J., Elliott, M.A., McCarthy, P., Cannon, D.M., McDonald, C., Cortical thinning and caudate abnormalities in first episode psychosis and their association with clinical outcome, Schizophrenia Research, 159, (1), 2014, p36-42
Hogan, M.J., Kenney, J.P.M., Roche, R.A.P., Keane, M.A., Moore, J.L., Kaiser, J., Lai, R., Upton, N., Behavioural and electrophysiological effects of visual paired associate context manipulations during encoding and recognition in younger adults, older adults and older cognitively declined adults, Experimental Brain Research, 216, (4), 2012, p621-633
Hogan, M., Collins, P., Keane, M., Kilmartin, L., Kaiser, J., Kenney, J., Lai, R., Upton, N., Electroencephalographic coherence, aging, and memory: Distinct responses to background context and stimulus repetition in younger, older, and older declined groups, Experimental Brain Research, 212, (2), 2011, p241-255
Joanne PM Kenney, Christina Ward, Dervla Gallen, Richard AP Roche, Paul Dockree, Nicola Hohensee, Clare Cassidy, Michael A Keane, Michael J Hogan, Self‐initiated learning reveals memory performance and electrophysiological differences between younger, older and older adults with relative memory impairment, European Journal of Neuroscience, 2019, p1-18
- Using structural and diffusion MRI to identify individuals with TBI & PTSD/depression: 10 site machine learning study from the ENIGMA Traumatic Brain Injury Working Group
- The the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) (http://enigma.ini.usc.edu) Traumatic Brain Injury (TBI) Working Group is a subgroup of the ENIGMA Brain Injury Working Group, an international collaboration among neuroimaging researchers focused on TBI. The current study will utilise machine learning techniques designed at Whelan Lab, Trinity College Institute of Neuroscience, to identify white matter and cortical and subcortical regions that predict individuals with TBI comorbid with depression or PTSD from 10 sites. The findings of this research will assist in early diagnosis of psychiatric disorder in TBI. Machine learning research contributes to precision medicine or patient-level predictive analytics and biology-centred diagnoses rather than reliance on symptom presentation.
- Funding Agency
- Irish Research Council Postdoctoral Fellowship