2020 publications
- Adams, N. E. et al., 2020. GABA-ergic dynamics in human frontotemporal networks confirmed by pharmaco- magnetoencephalography. Journal of Neuroscience 40 (8), pp.1640-1649. (10.1523/JNEUROSCI.1689-19.2019)
- Afzali, M. , Aja-Fernandez, S. and Jones, D. K. 2020. Direction-averaged diffusion-weighted MRI signal using different axisymmetric B-tensor encoding schemes. Magnetic Resonance in Medicine 84 (3), pp.1579-1591. (10.1002/mrm.28191)
- Aja-Fernández, S. et al., 2020. Micro-structure diffusion scalar measures from reduced MRI acquisitions. PLoS ONE 15 (3) e0229526. (10.1371/journal.pone.0229526)
- Alamian, G. et al., 2020. Patient, interrupted: MEG oscillation dynamics reveal temporal dysconnectivity in schizophrenia. NeuroImage: Clinical 28 102485. (10.1016/j.nicl.2020.102485)
- Allen, C. et al. 2020. Causal manipulation of feed-forward and recurrent processing differentially affects measures of consciousness. Neuroscience of Consciousness 2020 (1) niaa015. (10.1093/nc/niaa015)
- Antonakakis, M. et al., 2020. Aberrant whole-brain transitions and dynamics of spontaneous network microstates in mild traumatic brain injury. Frontiers in Computational Neuroscience 13 90. (10.3389/fncom.2019.00090)
- Bazin, P. et al., 2020. Sharpness in motion corrected quantitative imaging at 7T. NeuroImage 222 117227. (10.1016/j.neuroimage.2020.117227)
- Boedhoe, P. S. et al., 2020. Subcortical Brain Volume, Regional Cortical Thickness, and Cortical Surface Area Across Disorders: Findings From the ENIGMA ADHD, ASD, and OCD Working Groups. American Journal of Psychiatry 177 (9), pp.834-843. (10.1176/appi.ajp.2020.19030331)
- Bompas, A. , Campbell, A. E. and Sumner, P. 2020. Cognitive control and automatic interference in mind and brain: A unified model of saccadic inhibition and countermanding. Psychological Review 127 (4), pp.524-561. (10.1037/rev0000181)
- Bright, M. G. et al., 2020. Vascular physiology drives functional brain networks. NeuroImage 217 116907. (10.1016/j.neuroimage.2020.116907)
- Brouwers, K. et al., 2020. Evidence for prereg posters as a platform for preregistration. Nature Human Behaviour 4 , pp.884-886. (10.1038/s41562-020-0868-z)
- Brugger, S. P. et al. 2020. Heterogeneity of striatal dopamine function in schizophrenia: meta-analysis of variance. Biological Psychiatry 87 (3), pp.215-224. (10.1016/j.biopsych.2019.07.008)
- Casella, C. et al. 2020. Drumming motor sequence training induces apparent myelin remodelling in Huntington’s disease: a longitudinal diffusion MRI and quantitative magnetization transfer study. Journal of Huntington's Disease 9 (3), pp.303-320. (10.3233/JHD-200424)
- Chamberland, M. et al. 2020. Tractometry-based anomaly detection for single-subject white matter analysis. Presented at: Medical Imaging with Deep Learning (MIDL 2020) Montréal, Canada 6-9 July 2020.
- Champagne, A. A. et al., 2020. Changes in volumetric and metabolic parameters relate to differences in exposure to sub-concussive head impacts. Journal of Cerebral Blood Flow and Metabolism 40 (7), pp.1453-1467. (10.1177/0271678X19862861)
- Chandler, H. L. et al. 2020. Polygenic risk for Alzheimer's disease shapes hippocampal scene-selectivity. Neuropsychopharmacology 45 , pp.1171-1178. (10.1038/s41386-019-0595-1)
- Cheng, H. et al., 2020. Segmentation of the brain using direction-averaged signal of DWI images. Magnetic Resonance Imaging 69 , pp.1-7. (10.1016/j.mri.2020.02.010)
- Coad, B. et al. 2020. Precommissural and postcommissural fornix microstructure in healthy aging and cognition. Brain and Neuroscience Advances 4 , pp.1-12. (10.1177/2398212819899316)
- Coad, B. et al. 2020. Structural connections support emotional connections: uncinate fasciculus microstructure is related to the ability to decode facial emotion expressions. Neuropsychologia 145 (10.1016/j.neuropsychologia.2017.11.006)
- Crawford, B. et al. 2020. Brain structure correlates of expected social threat and reward. Scientific Reports 10 18010. (10.1038/s41598-020-74334-z)
- Crawford, B. et al. 2020. Individual differences in social reward and threat expectancies linked to grey matter volumes in key regions of the social brain. [Online].bioRxiv. (10.1101/2020.02.03.916999)Available at: https://doi.org/10.1101/2020.02.03.916999.
- Davies, J. , Falla, D. and Gallina, A. 2020. Crosstalk in motor evoked potentials recorded from resting and active vastus medialis in response to transcranial magnetic stimulation. Presented at: 23rd International Society of Electrophysiology and Kinesiology Congress (ISEK 2020) Virtual 12-14 July 2020.
- Davies, J. L. 2020. Using transcranial magnetic stimulation to map the cortical representation of lower-limb muscles. Clinical Neurophysiology Practice 5 , pp.87-99. (10.1016/j.cnp.2020.04.001)
- Dima, D. C. et al. 2020. Electrophysiological network alterations in adults with copy number variants associated with high neurodevelopmental risk. Translational Psychiatry 10 324. (10.1038/s41398-020-00998-w)
- Driver, I. D. et al. 2020. Most small cerebral cortical veins demonstrate significant flow pulsatility: a human phase contrast MRI study at 7T. Frontiers in Neuroscience 14 415. (10.3389/fnins.2020.00415)
- Eaton, C. B. et al. 2020. Response to letter to editor: 'Knowing when and how to use epilepsy screening questionnaires'. Epilepsia 61 (4), pp.826-827. (10.1111/epi.16463)
- Eed, A. et al., 2020. Diffusion-weighted MRI in neurodegenerative and psychiatric animal models: experimental strategies and main outcomes. Journal of Neuroscience Methods 343 108814. (10.1016/j.jneumeth.2020.108814)
- Ellis, N. et al., 2020. Genetic risk underlying psychiatric and cognitive symptoms in Huntington’s Disease. Biological Psychiatry 87 (9), pp.857-865. (10.1016/j.biopsych.2019.12.010)
- Eschmann, K. , Bader, R. and Mecklinger, A. 2020. Improving episodic memory: frontal-midline theta neurofeedback training increases source memory performance. NeuroImage 222 117219.
- Foster, C. et al. 2020. Cerebral metabolic changes during visuomotor adaptation assessed using quantitative fMRI. Frontiers in Physiology 11 428. (10.3389/fphys.2020.00428)
- Furby, H. et al. 2020. Cardiorespiratory fitness is associated with increased middle cerebral arterial compliance and decreased cerebral blood flow in young healthy adults: a pulsed ASL MRI study. Journal of Cerebral Blood Flow and Metabolism 40 (9), pp.1879-1889. (10.1177/0271678X19865449)
- Gabel, M. C. et al., 2020. Evolution of white matter damage in amyotrophic lateral sclerosis.. Annals of Clinical and Translational Neurology 7 (5), pp.722-732. (10.1002/acn3.51035)
- Gabel, M. C. et al., 2020. Reply to: Early white matter changes on diffusion tensor imaging in amyotrophic lateral sclerosis.. Annals of Clinical and Translational Neurology 7 (7), pp.1266-1267. (10.1002/acn3.51107)
- Geeraert, B. L. et al., 2020. Multimodal principal component analysis to identify major features of white matter structure and links to reading. PLoS ONE 15 (8) e0233244. (10.1371/journal.pone.0233244)
- Genc, S. et al. 2020. Longitudinal patterns of white matter fibre density and morphology in children is associated with age and pubertal stage. Developmental Cognitive Neuroscience 45 100853. (10.1016/j.dcn.2020.100853)
- Genc, S. et al. 2020. Impact of b-value on estimates of apparent fibre density. Human Brain Mapping 41 (10), pp.2583-2595. (10.1002/hbm.24964)
- Germuska, M. et al. 2020. A frequency-domain machine learning method for dual-calibrated fMRI mapping of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen consumption (CMRO2). Frontiers in Artificial Intelligence 3 12. (10.3389/frai.2020.00012)
- Gholam, J. A. et al. 2020. aDWI-BIDS: advanced diffusion weighted imaging metadata for the brain imaging data structure. Presented at: ISMRM & SMRT Annual Meeting & Exhibition Virtual 15-20 May 2021.
- Goldstein, L. H. et al., 2020. Cognitive behavioural therapy for adults with dissociative seizures (CODES): a pragmatic, multicentre, randomised controlled trial. Lancet Psychiatry 7 (6), pp.491-505. (10.1016/S2215-0366(20)30128-0)
- Grama, S. et al. 2020. Polygenic risk for schizophrenia and subcortical brain anatomy in the UK Biobank cohort. Translational Psychiatry 10 309. (10.1038/s41398-020-00940-0)
- Gruber, M. J. and Ritchey, M. 2020. Episodic memory modulation: How emotion and motivation shape the encoding and storage of salient memories. In: Poeppel, D. , Gazzaniga, M. S. and Mangun, G. R. eds. The Cognitive Neurosciences, 6th edition. The MIT Press. , pp.257-264.
- Han, L. K. M. et al., 2020. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group. Molecular Psychiatry 26 , pp.5124-5139. (10.1038/s41380-020-0754-0)
- Harrison, J. R. et al. 2020. Imaging Alzheimer's genetic risk using Diffusion MRI: a systematic review. NeuroImage: Clinical 27 102359. (10.1016/j.nicl.2020.102359)
- Harrison, J. R. et al. 2020. From polygenic scores to precision medicine in Alzheimer’s Disease: A systematic review. Journal of Alzheimer's Disease 74 (4), pp.1271-1283. (10.3233/JAD-191233)
- Hatton, S. N. et al., 2020. White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-epilepsy study. Brain 143 (8), pp.2454-2473. (10.1093/brain/awaa200)
- Hedge, C. et al. 2020. Self-reported impulsivity does not predict response caution. Personality and Individual Differences 167 110257. (10.1016/j.paid.2020.110257)
- Hodgetts, C. J. et al. 2020. The role of the fornix in human navigational learning. Cortex 124 , pp.97-110. (10.1016/j.cortex.2019.10.017)
- Jenkins, C. et al. 2020. DW-MRS with ultra-strong diffusion gradients. Presented at: ISMRM & SMRT Virtual Conference & Exhibition 2020 Online 8-14 August 2020.
- Jorge, J. et al., 2020. Improved susceptibility-weighted imaging for high contrast and resolution thalamic nuclei mapping at 7T. Magnetic Resonance in Medicine 84 (3), pp.1218-1234. (10.1002/mrm.28197)
- Kansu, B. et al., 2020. Long-term outcomes after epilepsy surgery, a retrospective cohort study linking patient-reported outcomes and routine healthcare data. Epilepsy and Behavior 111 107196. (10.1016/j.yebeh.2020.107196)
- Kleban, E. et al. 2020. Strong diffusion gradients allow the separation of intra- and extra-axonal gradient-echo signals in the human brain. NeuroImage 217 116793. (10.1016/j.neuroimage.2020.116793)
- Kolasinski, J. et al. 2020. Spatially and temporally distinct encoding of muscle and kinematic information in rostral and caudal primary motor cortex. Cerebral Cortex 1 tgaa009. (10.1093/texcom/tgaa009)
- Koller, K. , Rafal, R. D. and Mullins, P. G. 2020. Circadian circuits in humans: White matter microstructure predicts daytime sleepiness. Cortex 122 , pp.97-207. (10.1016/j.cortex.2019.01.011)
- Kopanoglu, E. et al. 2020. Specific absorption rate implications of within-scan patient head motion for ultra-high field MRI. Magnetic Resonance in Medicine 84 (5), pp.2724-2738. (10.1002/mrm.28276)
- Kopanoglu, E. , Deniz, C. M. and Wise, R. G. 2020. Simultaneous multi-slice imaging reduces sensitivity of local-SAR to patient motion at 7T. Presented at: ISMRM 28th Annual Meeting & Exhibition Sydney Australia 08-14 August 2020. Proceedings of the ISMRM 28th annual meeting and exhibition. Vol. 3691.
- Kopanoglu, E. et al. 2020. Simultaneous use of individual and joint regularization terms in compressive sensing: Joint reconstruction of multi-channel multi-contrast MRI acquisitions. NMR in Biomedicine 33 (4) e4247. (10.1002/nbm.4247)
- Krzeminski, D. et al. 2020. Energy landscape of resting magnetoencephalography reveals frontoparietal network impairments in epilepsy. Network Neuroscience 4 (2), pp.374-396. (10.1162/netn_a_00125)
- Larivière, S. et al., 2020. Network-based atrophy modeling in the common epilepsies: a worldwide ENIGMA study. Science Advances 6 (47) eabc6457. (10.1126/sciadv.abc6457)
- Lipp, I. et al. 2020. Tractography in the presence of multiple sclerosis lesions. NeuroImage 209 116471. (10.1016/j.neuroimage.2019.116471)
- Lopes, M. A. et al., 2020. Computational modelling in source space from scalp EEG to inform presurgical evaluation of epilepsy. Clinical Neurophysiology 131 (1), pp.225-234. (10.1016/j.clinph.2019.10.027)
- Lord, S. R. et al., 2020. Freezing of gait in people with Parkinson's disease: nature, occurrence, and risk factors. Journal of Parkinson's Disease 10 (2), pp.631-640. (10.3233/JPD-191813)
- Lynall, M. et al., 2020. Peripheral blood cell-stratified subgroups of inflamed depression. Biological Psychiatry 88 , pp.185-196. Biological Psychiatry July 15, 2020; 88:185–196. (10.1016/j.biopsych.2019.11.017)
- Macini, M. et al., 2020. An interactive meta-analysis of MRI biomarkers of myelin.. eLife 2020 (9) e61523. (10.7554/elife.61523)
- Maizey, L. et al. 2020. Cortical and subcortical functional specificity associated with response inhibition. NeuroImage 220 117110. (10.1016/j.neuroimage.2020.117110)
- Marimpis, A. D. , Dimitriadis, S. I. and Goebel, R. 2020. A multiplex connectivity map of valence-arousal emotional model. IEEE Access 8 , pp.170928 - 170938. (10.1109/ACCESS.2020.3025370)
- Marjanovic, J. et al., 2020. A reconfigurable platform for magnetic resonance data acquisition and processing. IEEE Transactions on Medical Imaging 39 (4), pp.1138-1148. (10.1109/TMI.2019.2944696)
- Martins, J. P. d. A. et al., 2020. Transferring principles of solid-state and Laplace NMR to the field of in vivo brain MRI. Magnetic Resonance 1 , pp.27-43. (10.5194/mr-1-27-2020)
- McCann, H. , Pisano, G. and Beltrachini, L. 2020. Correction to: Variation in reported human head tissue electrical conductivity values. Brain Topography (10.1007/s10548-020-00807-z)
- Mehler, D. M. A. et al. 2020. Graded fMRI neurofeedback Training of motor imagery in middle cerebral artery stroke patients: a preregistered proof-of-concept study. Frontiers in Human Neuroscience 14 226. (10.3389/fnhum.2020.00226)
- Mizuno, Y. et al., 2020. Heterogeneity and efficacy of antipsychotic treatment for schizophrenia with or without treatment resistance: a meta-analysis. Neuropsychopharmacology 45 (4), pp.622-631. (10.1038/s41386-019-0577-3)
- Moulding, H. et al. 2020. Sleep problems and associations with psychopathology and cognition in young people with 22q11.2 deletion syndrome (22q11.2DS). Psychological Medicine 50 , pp.1191-1202. (10.1017/S0033291719001119)
- Moyer, D. et al., 2020. Scanner invariant representations for diffusion MRI harmonization. Magnetic Resonance in Medicine 84 (4), pp.2174-2189. (10.1002/mrm.28243)
- Munafò, M. R. et al., 2020. Research culture and reproducibility. Trends in Cognitive Sciences 24 (2), pp.91-93. (10.1016/j.tics.2019.12.002)
- Navarrete, M. et al. 2020. Examining the optimal timing for closed loop auditory stimulation of slow wave sleep in young and older adults. SLEEP 43 (6), pp.1-14. (10.1093/sleep/zsz315)
- Navarrete, M. , Valderrama, M. and Lewis, P. A. 2020. The role of slow-wave sleep rhythms in the corticalhippocampal loop for memory consolidation. Current Opinion in Behavioral Sciences 32 , pp.102-110. (10.1016/j.cobeha.2020.02.006)
- Ning, L. et al., 2020. Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: algorithms and result. NeuroImage 221 117128. (10.1016/j.neuroimage.2020.117128)
- Olivito, G. et al., 2020. Cerebellar dentate nucleus functional connectivity with cerebral cortex in Alzheimer's disease and memory: a seed-based approach.. Neurobiology of Aging 89 , pp.32-40. (10.1016/j.neurobiolaging.2019.10.026)
- Patel, Y. et al., 2020. Virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young men. NeuroImage 218 116968. (10.1016/j.neuroimage.2020.116968)
- Pereira, S. I. R. and Lewis, P. A. 2020. Sleeping through brain excitation and inhibition. Nature Neuroscience 23 , pp.1037-1039. (10.1038/s41593-020-0697-4)
- Pereira, S. I. R. and Lewis, P. A. 2020. The differing roles of NREM and REM sleep in the slow enhancement of skills and schemas. Current Opinion in Physiology 15 , pp.82-88. (10.1016/j.cophys.2019.12.005)
- Perry, G. et al. 2020. The gamma response to colour hue in humans: evidence from MEG. PLoS ONE 15 (12) e0243237. (10.1371/journal.pone.0243237)
- Postans, M. et al. 2020. Uncovering a role for the dorsal hippocampal commissure in recognition memory. Cerebral Cortex 30 (3), pp.1001-1015. (10.1093/cercor/bhz143)
- Poudel, G. R. et al., 2020. Network diffusion modeling predicts neurodegeneration in traumatic brain injury. Annals of Clinical and Translational Neurology 7 (3), pp.270-279. (10.1002/acn3.50984)
- Powell, G. et al. 2020. Visually-induced dizziness is associated with sensitivity and avoidance across all senses. Journal of Neurology 267 , pp.2260-2271. (10.1007/s00415-020-09817-0)
- Rahnev, D. et al., 2020. The Confidence Database. Nature Human Behaviour 4 , pp.317-325. (10.1038/s41562-019-0813-1)
- Revie, L. et al. 2020. Visuo-perceptual and decision-making contributions to visual hallucinations in mild cognitive impairment in Lewy body disease: insights from a drift diffusion analysis. Brain Sciences 10 (8) 540. (10.3390/brainsci10080540)
- Rheault, F. et al., 2020. Tractostorm: the what, why, and how of tractography dissection reproducibility. Human Brain Mapping 41 (7), pp.1859-1874. (10.1002/hbm.24917)
- Rodrigues, J. C. L. et al., 2020. Retrograde blood flow in the internal jugular veins of humans with hypertension may have implications for cerebral arterial blood flow. European Radiology 30 (7), pp.3890-3899. (10.1007/s00330-020-06752-6)
- Rossiter, H. , Saxena, N. and Khot, S. 2020. Oscillatory dynamics in ischaemic pain. British Journal of Pain (10.1177/2049463719898111)
- Routley, B. et al. 2020. Juvenile myoclonic epilepsy shows increased posterior theta, and reduced sensorimotor beta resting connectivity. Epilepsy Research 163 106324. (10.1016/j.eplepsyres.2020.106324)
- Rowland, B. C. et al. 2020. Whole brain 31P MRSI at 7T with a dual-tuned receive array. Magnetic Resonance in Medicine 83 (2), pp.765-775. (10.1002/mrm.27953)
- Rua, C. et al., 2020. Multi-centre, multi-vendor reproducibility of 7T QSM and R2* in the human brain: Results from the UK7T study. NeuroImage 223 117358. (10.1016/j.neuroimage.2020.117358)
- Rudrapatna, U. et al., 2020. A comparative study of gradient nonlinearity correction strategies for processing diffusion data obtained with ultra-strong-gradient MRI scanner. Magnetic Resonance in Medicine 85 (2), pp.1104-1113. (10.1002/mrm.28464)
- Schmaal, L. et al., 2020. ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing. Translational Psychiatry 10 (1) 172. (10.1038/s41398-020-0842-6)
- Sela, Y. et al., 2020. Towards a personalized multi-domain digital neurophenotyping model for the detection and treatment of mood trajectories. Sensors 20 (20) 5781. (10.3390/s20205781)
- Serra, L. et al., 2020. Behavioral psychological symptoms of dementia and functional connectivity changes: a network-based study.. Neurobiology of Aging 94 , pp.196-206. (10.1016/j.neurobiolaging.2020.06.009)
- Serra, L. et al., 2020. Ventral tegmental area dysfunction affects decision-making in patients with myotonic dystrophy type-1. Cortex 128 , pp.192-202. (10.1016/j.cortex.2020.03.022)
- Sharp, T. H. et al., 2020. Population neuroimaging: generation of a comprehensive data resource within the ALSPAC pregnancy and birth cohort. Wellcome Open Research 5 203. (10.12688/wellcomeopenres.16060.1)
- Shaw, A. D. et al. 2020. GABAA receptor mapping in human using non-invasive electrophysiology. [Online].bioRxiv. Available at: https://doi.org/10.1101/2020.05.11.087726.
- Shaw, A. D. et al. 2020. Generative modelling of the thalamo-cortical circuit mechanisms underlying the neurophysiological effects of ketamine. NeuroImage 221 117189. (10.1016/j.neuroimage.2020.117189)
- Simões, M. et al., 2020. BCIAUT-P300: a multi-session and multi-subject benchmark dataset on autism for P300-based brain-computer -interfaces. Frontiers in Neuroscience 14 568104. (10.3389/fnins.2020.568104)
- Simos, N. et al., 2020. Quantitative identification of functional connectivity disturbances in neuropsychiatric lupus based on resting-state fMRI: a robust machine learning approach. Brain Sciences 10 (11) 777. (10.3390/brainsci10110777)
- Song, C. and Tagliazucchi, E. 2020. Linking the nature and functions of sleep: insights from multimodal imaging of the sleeping brain. Current Opinion in Physiology 15 , pp.29-36. (10.1016/j.cophys.2019.11.012)
- St-Jean, S. et al., 2020. Automated characterization of noise distributions in diffusion MRI data. Medical Image Analysis 65 101758. (10.1016/j.media.2020.101758)
- Steventon, J. et al. 2020. Altered cerebrovascular response to acute exercise in patients with Huntington’s Disease. Brain Communications 2 (1) fcaa044. (10.1093/braincomms/fcaa044)
- Steventon, J. J. et al. 2020. Hippocampal blood flow is increased after 20 min of moderate-intensity exercise. Cerebral Cortex 30 (2), pp.525-533. (10.1093/cercor/bhz104)
- Steventon, J. J. et al. 2020. Hypertension, antihypertensive use and the delayed onset of Huntington's Disease. Movement Disorders 35 (6), pp.937-946. (10.1002/mds.27976)
- Szul, M. J. et al. 2020. The validity and consistency of continuous joystick response in perceptual decision-making. Behavior Research Methods 52 , pp.681-693. (10.3758/s13428-019-01269-3)
- Tait, L. et al. 2020. EEG microstate complexity for aiding early diagnosis of Alzheimer’s disease. Scientific Reports 10 17627. (10.1038/s41598-020-74790-7)
- Tax, C. et al. 2020. The dot-compartment revealed? Diffusion MRI with ultra-strong gradients and spherical tensor encoding in the living human brain. NeuroImage 210 116534. (10.1016/j.neuroimage.2020.116534)
- Tax, C. M. W. 2020. Estimating chemical and microstructural heterogeneity by correlating relaxation and diffusion. In: Topgaard, D. ed. Advanced Diffusion Encoding Methods in MRI. Royal Society of Chemistry. , pp.186-227. (10.1039/9781788019910-00186)
- Teufel, C. and Fletcher, P. C. 2020. Forms of prediction in the nervous system. Nature Reviews Neuroscience 21 , pp.231-242. (10.1038/s41583-020-0275-5)
- Tong, Q. et al., 2020. A deep learning–based method for improving reliability of multicenter diffusion kurtosis imaging with varied acquisition protocols. Magnetic Resonance Imaging 73 , pp.31-44. (10.1016/j.mri.2020.08.001)
- Toniolo, S. et al., 2020. Changes in functional connectivity in people with HIV switching antiretroviral therapy.. Journal of Neurovirology (JNV) 26 , pp.754-763. (10.1007/s13365-020-00853-0)
- Toniolo, S. et al., 2020. Cerebellar white matter disruption in Alzheimer's disease patients: a diffusion tensor imaging study.. Journal of Alzheimer's Disease 74 (2), pp.615-624. (10.3233/jad-191125)
- Treder, M. , Mayor-Torres, J. and Teufel, C. 2020. Deriving visual semantics from spatial context: an adaptation of LSA and Word2Vec to generate object and scene embeddings from images. [Online].Cornell University. Available at: https://arxiv.org/abs/2009.09384.
- Tzavella, L. et al. 2020. The affective priming paradigm as an indirect measure of food attitudes and related choice behaviour. Psychonomic Bulletin and Review 27 , pp.1397-1415. (10.3758/s13423-020-01764-1)
- Veraart, J. et al., 2020. Noninvasive quantification of axon radii using diffusion MRI. eLife 9 e49855. (10.7554/eLife.49855)
- Villalon-Reina, J. et al., 2020. Altered white matter microstructure in 22q11.2 deletion syndrome: a multi-site diffusion tensor imaging study. Molecular Psychiatry 25 , pp.2818-2831. (10.1038/s41380-019-0450-0)
- Watkins, L. et al., 2020. Motion robust parallel transmission excitation pulse design for ultra-high field MRI. Presented at: ISMRM & SMRT Virtual Conference & Exhibition 2020 Online 8-14 August 2020.
- Webster, R. et al., 2020. Communicating climate change during the Covid-19 crisis: what the evidence says.
- Wei, G. et al., 2020. "No pain no gain": evidence from a parcel-wise brain morphometry study on the volitional quality of elite athletes. Brain Sciences 10 (7) 459. (10.3390/brainsci10070459)
- Williams, A. N. et al. 2020. The role of the pre-commissural fornix in episodic autobiographical memory and simulation. Neuropsychologia 142 Volume 142, May 2020, 107457. (10.1016/j.neuropsychologia.2020.107457)
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