Cyhoeddiadau 2020

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)
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)

Cyhoeddiadau 2020

Archif cyhoeddiadau

Canolfan Ymchwil Delweddu'r Ymennydd Prifysgol Caerdydd

Cysylltwch â ni

Ymweld â'r Ganolfan Ymchwil Delweddu'r Ymennydd Prifysgol Caerdydd

Gwobr Athena SWAN