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About Amir Dehsarvi
About me
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Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18, 2018
This paper develops automatic methods for detecting brain imaging preclinical biomarkers for olfactory dysfunction in early stage Parkinson's disease (PD) by considering the novel application of evolutionary algorithms. Classification will be applied to PD patients with severe hyposmia, patients with no/mild hyposmia, and healthy controls.
Recommended citation: Dehsarvi, A., & Smith, S. L. (2018). "Classification of resting-state fMRI for olfactory dysfunction in Parkinson's disease using evolutionary algorithms." Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18. New York, New York, USA: ACM Press. https://doi.org/10.1145/3205651.3205681
Published in Frontiers in Aging Neuroscience, 2021
This study examines whether temporal characteristics in a collaborative referencing task are associated with cognitive function and the volumes of brain regions involved in speech production and known to be reduced in mild cognitive impairment and Alzheimer's pathology. We also explored the discriminative ability of the temporal speech measures for the classification of mild cognitive impairement and Alzheimer's disease.
Recommended citation: De Looze, C., Dehsarvi A., Crosby, L., Vourdanou, A., Coen, R. F., Lawlor, B., & Reilly, R. B. (2021). "Cognitive and structural correlates of conversational speech timing in Mild Cognitive Impairment and Mild-to-Moderate Alzheimer's Disease: relevance for early detection approaches."; Frontiers in Aging Neuroscience. 13:637404. doi: 10.3389/fnagi.2021.637404. https://doi.org/10.3389/fnagi.2021.637404
Published in Pattern Recognition and Artificial Intelligence. ICPRAI 2022. Lecture Notes in Computer Science, vol 13364. Springer, Cham., 2022
This paper reports an automated approach to the clinical monitoring of Parkinson's disease (PD) by applying Evolutionary Algorithms (EAs) to resting-state functional magnetic imaging (rs-fMRI) data.
Recommended citation: Dehsarvi, A., South Palomares, J.K., Smith, S.L. (2022). Towards Automated Monitoring of Parkinson's Disease Following Drug Treatment. In: El Yacoubi, M., Granger, E., Yuen, P.C., Pal, U., Vincent, N. (eds) Pattern Recognition and Artificial Intelligence. ICPRAI 2022. Lecture Notes in Computer Science, vol 13364. Springer, Cham. doi: 10.1007/978-3-031-09282-4_17. https://doi.org/10.1007/978-3-031-09282-4_17
Published in Current Alzheimer Research, 2022
This preliminary case-control study investigates whether the temporal organization of speech is associated with the volume of brain regions involved in overt sentence reading and explores the discriminative ability of temporal speech parameters and standard volumetric MRI measures for the classification of MCI and Alzheimer's disease.
Recommended citation: De Looze, C., Dehsarvi A., Crosby, L., Vourdanou, A., Coen, R. F., Lawlor, B., & Reilly, R. B. (2022). "Structural Correlates of Overt Sentence Reading in Mild Cognitive Impairment and Mild-to-Moderate Alzheimer's Disease"; Current Alzheimer Research. 19. doi: 10.2174/1567205019666220805110248. https://doi.org/10.2174/1567205019666220805110248
Published in Alzheimer's & Dementia, vol 19, issue 12., 2023
This paper discusses the application of artificial intelligence in optimizing research methods for dementia studies.
Recommended citation: Bucholc, M., James, C., Khleifat, A.A., Badhwar, A., Clarke, N., Dehsarvi, A., Madan, C.R., Marzi, S.J., Shand, C., Schilder, B.M., Tamburin, S., Tantiangco, H.M., Deep Dementia Phenotyping (DEMON) Network, Lourida, I., Llewellyn, D.J., Ranson, J.M. (2023). Artificial Intelligence for Dementia Research Methods Optimization. Alzheimers Dement. 19(12): 5934-5951. doi: 10.1002/alz.13441. https://doi.org/10.1002/alz.13441
Published in Alzheimer's & Dementia, vol 19, issue 12., 2023
This paper explores the use of artificial intelligence in discovering biomarkers for Alzheimer’s disease and other forms of dementia.
Recommended citation: Winchester, L.M., Harshfield, E.L., Shi, L., Badhwar, A., Khleifat, A.A., Clarke, N., Dehsarvi, A., Lengyel, I., Lourida, I., Madan, C.R., Marzi, S.J., Proitsi, P., Rajkumar, A.P., Rittman, T., Silajdžić, E., Tamburin, S., Ranson, J.M., Llewellyn, D.J. (2023). Artificial Intelligence for Biomarker Discovery in Alzheimer's Disease and Dementia. Alzheimers Dement. 19(12): 5860-5871. doi: 10.1002/alz.13390. https://doi.org/10.1002/alz.13390
Published in Neuroscience Applied, 2023
This paper discusses the development of a biomarker of depression using white-box machine learning of resting-state functional magnetic resonance imaging.
Recommended citation: Matthews, F., Dehsarvi, A., Dutta, A., Moriarty, A., Paton, L., & Smith, S. (2023). Developing a Biomarker of Depression Using White-Box Machine Learning of Resting-State Functional Magnetic Resonance Imaging. Neuroscience Applied, 2, 103668. https://doi.org/10.1016/j.neappl.2023.103668. https://doi.org/10.1016/j.neappl.2023.103668
Published in JAMA Neurology, vol 80, issue 12., 2023
This paper explores the role of ApoE4 in the connectivity-mediated spreading of tau pathology at lower amyloid levels in the brain.
Recommended citation: Steward, A., Biel, D., Dewenter, A., Roemer, S., Wagner, F., Dehsarvi, A., Rathore, S., Otero Svaldi, D., Higgins, I., Brendel, M., Dichgans, M., Shcherbinin, S., Ewers, M., Franzmeier, N. (2023). ApoE4 and Connectivity-Mediated Spreading of Tau Pathology at Lower Amyloid Levels. JAMA Neurol. 80(12): 1295-1306. doi: 10.1001/jamaneurol.2023.4038. https://doi.org/10.1001/jamaneurol.2023.4038
Published in Alzheimer's & Dementia, 2023
This paper introduces ADPrep, a fully automated preprocessing pipeline for Alzheimer's disease neuroimaging analysis using MRI and multi-tracer PET data.
Recommended citation: Dehsarvi, A., Denecke, J., Biel, D., Dewenter, A., Roemer, S.N., Steward, A., Wanger, F., Brendel, M., Franzmeier, N. (2023). ADPrep - A fully automated Alzheimer's Disease Neuroimaging Preprocessing Pipeline for MRI and multi-tracer PET data. Alzheimer's Dement., 19: e079614. https://doi.org/10.1002/alz.079614. https://doi.org/10.1002/alz.079614
Published in Alzheimer's & Dementia, 2023
This paper investigates the effect of local versus remote Beta-Amyloid on functional connectivity mediated Tau-Spread in Alzheimer's Disease.
Recommended citation: Wanger, F., Steward, A., Biel, D., Dewenter, A., Roemer, S.N., Ewers, M., Dehsarvi, A., Franzmeier, N. (2023). The Effect of Local versus Remote Beta-Amyloid on Functional Connectivity Mediated Tau-Spread in Alzheimer's Disease. Alzheimer's Dement., 19: e079578. https://doi.org/10.1002/alz.079578. https://doi.org/10.1002/alz.079578
Published in Alzheimer's & Dementia, 2023
This paper investigates the association between increased CSF GAP-43 and accelerated tau accumulation and spread in Alzheimer's disease.
Recommended citation: Franzmeier, N., Dehsarvi, A., Steward, A., Biel, D., Dewenter, A., Roemer, S.N., Wanger, F., Brendel, M., Ewers, M., Moscoso, A., Blennow, K., Zetterberg, H., Schoell, M. (2023). Increased CSF GAP-43 is associated with accelerated tau accumulation and spread in Alzheimer's disease. Alzheimer's Dement., 19: e080039. https://doi.org/10.1002/alz.080039. https://doi.org/10.1002/alz.080039
Published in Alzheimer's & Dementia, 2023
This paper investigates how APOE4 facilitates the accumulation and connectivity-mediated spreading of tau pathology at lower amyloid levels.
Recommended citation: Steward, A., Biel, D., Dewenter, A., Roemer, S.N., Wanger, F., Dehsarvi, A., Svaldi, D., Higgins, I.A., Brendel, M., Shcherbinin, S., Ewers, M., Franzmeier, N. (2023). APOE4 Facilitates the Accumulation and Connectivity-Mediated Spreading of Tau Pathology at Lower Amyloid Levels. Alzheimer's Dement., 19: e074017. https://doi.org/10.1002/alz.074017. https://doi.org/10.1002/alz.074017
Published in Alzheimer's & Dementia, 2023
This paper examines the effects of cerebrovascular disease on tau progression and cognitive decline in Alzheimer's disease.
Recommended citation: Dewenter, A., Steward, A., Dehsarvi, A., Biel, D., Roemer, S.N., Wanger, F., Franzmeier, N. (2023). Effects of Cerebrovascular Disease on Tau Progression and Cognitive Decline in Alzheimer's Disease. Alzheimer's Dement., 19: e078894. https://doi.org/10.1002/alz.078894. https://doi.org/10.1002/alz.078894
Published in Nature Communications, vol 15, issue 1., 2024
This paper investigates the association between elevated cerebrospinal fluid (CSF) GAP-43 levels and the accelerated accumulation and spread of tau pathology in Alzheimer's disease.
Recommended citation: Franzmeier, N., Dehsarvi, A., Steward, A., Biel, D., Dewenter, A., Roemer, S.N., Wagner, F., Gross, M., Brendel, M., Moscoso, A., Arunachalam, P., Blennow, K., Zetterberg, H., Ewers, M., Schoell, M. (2024). Elevated CSF GAP-43 is associated with accelerated tau accumulation and spread in Alzheimer's disease. Nat Commun. 15(1): 202. doi: 10.1038/s41467-023-44374-w. https://doi.org/10.1038/s41467-023-44374-w
Published in Arthritis & Rheumatology, vol 76, issue 4., 2024
This paper investigates the neurobiological mechanisms underlying the effects of exercise and cognitive-behavioral interventions on fatigue in patients with rheumatoid arthritis, using magnetic resonance imaging (MRI).
Recommended citation: Dehsarvi, A., Al-Wasity, S., Stefanov, K., Wiseman, S.J., Ralston, S.H., Wardlaw, J.M., Emsley, R., Bachmair, E.M., Cavanagh, J., Waiter, G.D., Basu, N. (2024). Characterizing the Neurobiological Mechanisms of Action of Exercise and Cognitive-Behavioral Interventions for Rheumatoid Arthritis Fatigue: A Magnetic Resonance Imaging Brain Study. Arthritis Rheumatol. 76(4): 522-530. doi: 10.1002/art.42755. https://doi.org/10.1002/art.42755
Published in Brain, 2024; awae174., 2024
This study investigates the link between subcortical tau and hypoperfusion in connected cortical regions in 4-repeat tauopathies.
Recommended citation: Roemer, S.N., Brendel, M., Gnoerich, J., Malpetti, M., Zaganjori, M., Quattrone, A., Gross, M., Steward, A., Dewenter, A., Wagner, F., Dehsarvi, A., Ferschmann, C., Wall, S., Palleis, C., Rauchmann, B.S., Katzdobler, S., Jaeck, A., Stockbauer, A., Fietzek, U.M., Bernhardt, A.M., Weidinger, E., Zwergal, A., Stoecklein, S., Perneczky, R., Barthel, H., Sabri, O., Levin, J., Hoeglinger, G.U., Franzmeier, N. (2024). Subcortical tau is linked to hypoperfusion in connected cortical regions in 4-repeat tauopathies. Brain, 2024; awae174. doi: 10.1093/brain/awae174. https://doi.org/10.1093/brain/awae174
Published in Movement Disorders, 2024
This study explores the relationship between neuroinflammation and tau pathology in primary 4-repeat tauopathies using PET imaging.
Recommended citation: Malpetti, M., Roemer, S.N., Harris, S., Gross, M., Gnörich, J., Stephens, A., Dewenter, A., Steward, A., Biel, D., Dehsarvi, A., Wagner, F., Müller, A., Koglin, N., Weidinger, E., Palleis, C., Katzdobler, S., Rupprecht, R., Perneczky, R., Rauchmann, B.-S., Levin, J., Höglinger, G.U., Brendel, M., Franzmeier, N. (2024). Neuroinflammation Parallels 18F-PI-2620 Positron Emission Tomography Patterns in Primary 4-Repeat Tauopathies. Movement Disorders. doi: 10.1002/mds.29924. https://doi.org/10.1002/mds.29924
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I talked about my work on how artificial intelligence can be used for the analysis of medical data with the aim of exploring novel and superior techniques for diagnosis and treatment of different diseases, including rheumatoid arthritis, Alzheimer's disease, and Parkinson's disease.
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I talked about my work on how I have used different machine learning techniques for the analysis of biomedical data in order to identify different approaches and methods to help with the diagnosis and treatment of different diseases, including chronic diseases with fatigue as a symptom, and neurodegenerative diseases, such as Alzheimer's disease, and Parkinson's disease.
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I talked about how Evolutionary Algorithms can be used for identifying biomarkers in different modalities to help with the diagnosis and treatment of different diseases, including rheumatoid arthritis, Alzheimer's disease, and Parkinson's disease.
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I talked about an automated approach to the clinical monitoring of Parkinson's disease (PD) by applying Evolutionary Algorithms (EAs) to resting-state functional magnetic imaging (rs-fMRI) data. The novel application of EAs to both map and predict the functional connectivity is considered in patients receiving the drug Modafinil versus placebo.
Workshop, University of York, Department of Electronic Engineering, 2017
Teaching, demonstrating, and marking for undergraduate and postgraduate students, Department of Electronic Engineering. BSc and MSc modules include: Electronics for Medicine, Maths and C Programming, Digital & Analogue Electronics Labs, Computer Architecture Workshops, Electronics for Music Technology, among others.
Programming Course, SINAPSE Image Analysis Research Group, 2021
I am the programme leader for the 2021 SINAPSE-IA/MathWorks MATLAB for Image Processing course, teaching advanced MATLAB (including Machine learning, deep learning, SPM, etc.) targeted at Universities across Scotland (a cohort of 40 researchers from postgraduate to professorship level).