4 results on '"Humphreys, Glyn W."'
Search Results
2. Neuropsychological evidence for the temporal dynamics of category-specific naming
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Panis, Sven, Torfs, Katrien, Gillebert, Celine R., Wagemans, Johan, and Humphreys, Glyn W.
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genetic structures ,event history analysis ,Original Articles ,Object recognition ,category-specific impairments ,Article ,object recognition - Abstract
Multiple accounts have been proposed to explain category-specific recognition impairments. Some suggest that category-specific deficits may be caused by a deficit in recurrent processing between the levels of a hierarchically organized visual object recognition system. Here, we tested predictions of interactive processing theories on the emergence of category-selective naming deficits in neurologically intact observers and in patient GA, a single case showing a category-specific impairment for natural objects after a herpes simplex encephalitis infection. Fragmented object outlines were repeatedly presented until correct naming occurred (maximum 10 times), and the fragments increased in length with every repetition. We studied how shape complexity, object category, and fragment curvature influence the timing of correct object identification. The results of a survival analysis are consistent with the idea that deficits in recurrent processing between low- and high-level visual object representations can cause category-selective impairments. ispartof: Visual Cognition vol:25 issue:1 pages:77-99 ispartof: location:England status: published
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- 2017
3. Structural variability within frontoparietal networks and individual differences in attentional functions: an approach using the theory of visual attention
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Chechlacz, Magdalena, Gillebert, Céline, Vangkilde, Signe A, Petersen, Anders, and Humphreys, Glyn W
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Adult ,Male ,Brain Mapping ,Individuality ,Frontal Lobe ,Young Adult ,Diffusion Magnetic Resonance Imaging ,Parietal Lobe ,Neural Pathways ,Image Processing, Computer-Assisted ,Visual Perception ,Humans ,Attention ,Female - Abstract
Visuospatial attention allows us to select and act upon a subset of behaviorally relevant visual stimuli while ignoring distraction. Bundesen's theory of visual attention (TVA) (Bundesen, 1990) offers a quantitative analysis of the different facets of attention within a unitary model and provides a powerful analytic framework for understanding individual differences in attentional functions. Visuospatial attention is contingent upon large networks, distributed across both hemispheres, consisting of several cortical areas interconnected by long-association frontoparietal pathways, including three branches of the superior longitudinal fasciculus (SLF I-III) and the inferior fronto-occipital fasciculus (IFOF). Here we examine whether structural variability within human frontoparietal networks mediates differences in attention abilities as assessed by the TVA. Structural measures were based on spherical deconvolution and tractography-derived indices of tract volume and hindrance-modulated orientational anisotropy (HMOA). Individual differences in visual short-term memory (VSTM) were linked to variability in the microstructure (HMOA) of SLF II, SLF III, and IFOF within the right hemisphere. Moreover, VSTM and speed of information processing were linked to hemispheric lateralization within the IFOF. Differences in spatial bias were mediated by both variability in microstructure and volume of the right SLF II. Our data indicate that the microstructural and macrostrucutral organization of white matter pathways differentially contributes to both the anatomical lateralization of frontoparietal attentional networks and to individual differences in attentional functions. We conclude that individual differences in VSTM capacity, processing speed, and spatial bias, as assessed by TVA, link to variability in structural organization within frontoparietal pathways. ispartof: Journal of Neuroscience vol:35 issue:30 pages:10647-10658 ispartof: location:United States status: published
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- 2015
4. Brain networks of temporal preparation: A multiple regression analysis of neuropsychological data
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Ángel Correa, Andrés Catena, María Jesús Funes, Mónica Triviño, Juan Lupiáñez, Glyn W. Humphreys, Xun He, [Trivino, Monica] San Rafael Univ Hosp, Dept Neuropsychol, C San Juan de Dios 19, Granada 18001, Spain, [Trivino, Monica] Univ Granada, Mind Brain & Behav Res Ctr CIMCYC, Granada 18011, Spain, [Correa, Angel] Univ Granada, Mind Brain & Behav Res Ctr CIMCYC, Granada 18011, Spain, [Lupianez, Juan] Univ Granada, Mind Brain & Behav Res Ctr CIMCYC, Granada 18011, Spain, [Jesus Funes, Maria] Univ Granada, Mind Brain & Behav Res Ctr CIMCYC, Granada 18011, Spain, [Catena, Andres] Univ Granada, Mind Brain & Behav Res Ctr CIMCYC, Granada 18011, Spain, [Correa, Angel] Univ Granada, Dept Expt Psychol, Granada 18011, Spain, [Lupianez, Juan] Univ Granada, Dept Expt Psychol, Granada 18011, Spain, [Jesus Funes, Maria] Univ Granada, Dept Expt Psychol, Granada 18011, Spain, [Catena, Andres] Univ Granada, Dept Expt Psychol, Granada 18011, Spain, [He, Xun] Bournemouth Univ, Dept Psychol, Cognit & Cognit Neurosci Res Ctr, Poole BH12 5BB, Dorset, England, [Humphreys, Glyn W.] Univ Oxford, Dept Expt Psychol, Oxford OX1 3UD, England, Stroke Association, NIHR Clinical Research Facility for Oxford cognitive health, Spanish Ministry of Science and Education, and National Institute for Health Research
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Male ,Time Factors ,Functional-anatomy ,Prefrontal cortex ,Developmental psychology ,Executive functions ,0302 clinical medicine ,Temporal orienting ,Reaction-time ,Gray Matter ,Foreperiod ,Cerebral Cortex ,Orienting attention ,05 social sciences ,Neuropsychology ,Time perception ,Middle Aged ,Magnetic Resonance Imaging ,White Matter ,medicine.anatomical_structure ,Neurology ,Regression Analysis ,Female ,Psychology ,Regression analysis ,Temporal lobe ,Dissociation (neuropsychology) ,Cognitive Neuroscience ,Posterior parietal cortex ,Grey matter ,050105 experimental psychology ,White matter ,03 medical and health sciences ,Orientation ,medicine ,Humans ,0501 psychology and cognitive sciences ,Acquired brain injury ,Aged ,Deficit ,Temporal preparation ,medicine.disease ,Neural mechanisms ,Time Perception ,Perception ,Nerve Net ,Anterior cingulate ,Neuroscience ,030217 neurology & neurosurgery ,Psychomotor Performance - Abstract
There are only a few studies on the brain networks involved in the ability to prepare in time, and most of them followed a correlational rather than a neuropsychological approach. The present neuropsychological study performed multiple regression analysis to address the relationship between both grey and white matter (measured by magnetic resonance imaging in patients with brain lesion) and different effects in temporal preparation (Temporal orienting, Foreperiod and Sequential effects). Two versions of a temporal preparation task were administered to a group of 23 patients with acquired brain injury. In one task, the cue presented (a red versus green square) to inform participants about the time of appearance (early versus late) of a target stimulus was blocked, while in the other task the cue was manipulated on a trial-by-trial basis. The duration of the cue-target time intervals (400 versus 1400 ms) was always manipulated within blocks in both tasks. Regression analysis were conducted between either the grey matter lesion size or the white matter tracts disconnection and the three temporal preparation effects separately. The main finding was that each temporal preparation effect was predicted by a different network of structures, depending on cue expectancy. Specifically, the Temporal orienting effect was related to both prefrontal and temporal brain areas. The Foreperiod effect was related to right and left prefrontal structures. Sequential effects were predicted by both parietal cortex and left subcortical structures. These findings show a clear dissociation of brain circuits involved in the different ways to prepare in time, showing for the first time the involvement of temporal areas in the Temporal orienting effect, as well as the parietal cortex in the Sequential effects. (C) 2016 Elsevier Inc. All rights reserved.
- Published
- 2016
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