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Journal articles on the topic 'Occipito-temporal cortex'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Striem-Amit, Ella, Gilles Vannuscorps, and Alfonso Caramazza. "Sensorimotor-independent development of hands and tools selectivity in the visual cortex." Proceedings of the National Academy of Sciences 114, no. 18 (2017): 4787–92. http://dx.doi.org/10.1073/pnas.1620289114.

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The visual occipito-temporal cortex is composed of several distinct regions specialized in the identification of different object kinds such as tools and bodies. Its organization appears to reflect not only the visual characteristics of the inputs but also the behavior that can be achieved with them. For example, there are spatially overlapping responses for viewing hands and tools, which is likely due to their common role in object-directed actions. How dependent is occipito-temporal cortex organization on object manipulation and motor experience? To investigate this question, we studied five

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2

Mancini, Flavia, Nadia Bolognini, Emanuela Bricolo, and Giuseppe Vallar. "Cross-modal Processing in the Occipito-temporal Cortex: A TMS Study of the Müller-Lyer Illusion." Journal of Cognitive Neuroscience 23, no. 8 (2011): 1987–97. http://dx.doi.org/10.1162/jocn.2010.21561.

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The Müller-Lyer illusion occurs both in vision and in touch, and transfers cross-modally from vision to haptics [Mancini, F., Bricolo, E., & Vallar, G. Multisensory integration in the Müller-Lyer illusion: From vision to haptics. Quarterly Journal of Experimental Psychology, 63, 818–830, 2010]. Recent evidence suggests that the neural underpinnings of the Müller-Lyer illusion in the visual modality involve the bilateral lateral occipital complex (LOC) and right superior parietal cortex (SPC). Conversely, the neural correlates of the haptic and cross-modal illusions have never been investig

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3

Wiggett, Alison J., and Paul E. Downing. "Representation of Action in Occipito-temporal Cortex." Journal of Cognitive Neuroscience 23, no. 7 (2011): 1765–80. http://dx.doi.org/10.1162/jocn.2010.21552.

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A fundamental question for social cognitive neuroscience is how and where in the brain the identities and actions of others are represented. Here we present a replication and extension of a study by Kable and Chatterjee [Kable, J. W., & Chatterjee, A. Specificity of action representations in the lateral occipito-temporal cortex. Journal of Cognitive Neuroscience, 18, 1498–1517, 2006] examining the role of occipito-temporal cortex in these processes. We presented full-cue movies of actors performing whole-body actions and used fMRI to test for action- and identity-specific adaptation effect

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4

Seghier, Mohamed L., Nicholas H. Neufeld, Peter Zeidman, et al. "Reading without the left ventral occipito-temporal cortex." Neuropsychologia 50, no. 14 (2012): 3621–35. http://dx.doi.org/10.1016/j.neuropsychologia.2012.09.030.

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5

Godlevsky, Leonid, Georgy Vostrov, Evgeny Kobolev, et al. "Are there different mechanisms of synchronization in the course of spike-wave discharges (SWDs) burst development in WAG/Rij rats?" Acta Neurobiologiae Experimentalis 66, no. 3 (2006): 189–94. http://dx.doi.org/10.55782/ane-2006-1606.

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In WAG/Rij rats the pair linear correlation r was calculated for bipolar recordings in fronto-temporal, fronto-occipital and occipito-temporal zones of both hemispheres as well as in paleocerebellar cortex (culmen). It was shown that development of SWD bursts resulted in interhemispheric decreases of correlation between the right occipito-temporal cortical region on one side, and left fronto-temporal on the contralateral side. Towards the end of SWD, we found an increased interhemispheric correlation between left fronto-temporal and right fronto-occipital cortical zones, as well as, between bo

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Avidan, Galia, Uri Hasson, Rafael Malach, and Marlene Behrmann. "Detailed Exploration of Face-related Processing in Congenital Prosopagnosia: 2. Functional Neuroimaging Findings." Journal of Cognitive Neuroscience 17, no. 7 (2005): 1150–67. http://dx.doi.org/10.1162/0898929054475145.

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Specific regions of the human occipito-temporal cortex are consistently activated in functional imaging studies of face processing. To understand the contribution of these regions to face processing, we examined the pattern of fMRI activation in four congenital prosopagnosic (CP) individuals who are markedly impaired at face processing despite normal vision and intelligence, and with no evidence of brain damage. These individuals evinced a normal pattern of fMRI activation in the fusiform gyrus (FFA) and in other ventral occipito-temporal areas, in response to faces, buildings, and other objec

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7

Mukamel, R. "Enhanced Temporal Non-linearities in Human Object-related Occipito-temporal Cortex." Cerebral Cortex 14, no. 5 (2004): 575–85. http://dx.doi.org/10.1093/cercor/bhh019.

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8

Betts, Lisa R., and Hugh R. Wilson. "Heterogeneous Structure in Face-selective Human Occipito-temporal Cortex." Journal of Cognitive Neuroscience 22, no. 10 (2010): 2276–88. http://dx.doi.org/10.1162/jocn.2009.21346.

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It is well established that the human visual system contains a distributed network of regions that are involved in processing faces, but our understanding of how faces are represented within these face-sensitive brain areas is incomplete. We used fMRI to investigate whether face-sensitive brain areas are solely tuned for whole faces, or whether they contain heterogeneous populations of neurons tuned to individual components of the face as well as whole faces, as suggested by physiological investigations in nonhuman primates. The middle fusiform gyrus (fusiform face area, or FFA) and the inferi

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9

Konkle, T., and A. Caramazza. "Macro-organization of object responses in occipito-temporal cortex." Journal of Vision 13, no. 9 (2013): 1388. http://dx.doi.org/10.1167/13.9.1388.

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10

Hasson, Uri, Galia Avidan, Leon Y. Deouell, Shlomo Bentin, and Rafael Malach. "Face-selective Activation in a Congenital Prosopagnosic Subject." Journal of Cognitive Neuroscience 15, no. 3 (2003): 419–31. http://dx.doi.org/10.1162/089892903321593135.

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Congenital prosopagnosia is a severe impairment in face identification manifested from early childhood in the absence of any evident brain lesion. In this study, we used fMRI to compare the brain activity elicited by faces in a congenital prosopagnosic subject (YT) relative to a control group of 12 subjects in an attempt to shed more light on the nature of the brain mechanisms subserving face identification. The face-related activation pattern of YT in the ventral occipito-temporal cortex was similar to that observed in the control group on several parameters: anatomical location, activation p

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11

Rosenke, Mona, Rick van Hoof, Job van den Hurk, Kalanit Grill-Spector, and Rainer Goebel. "A Probabilistic Functional Atlas of Human Occipito-Temporal Visual Cortex." Cerebral Cortex 31, no. 1 (2020): 603–19. http://dx.doi.org/10.1093/cercor/bhaa246.

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Abstract Human visual cortex contains many retinotopic and category-specific regions. These brain regions have been the focus of a large body of functional magnetic resonance imaging research, significantly expanding our understanding of visual processing. As studying these regions requires accurate localization of their cortical location, researchers perform functional localizer scans to identify these regions in each individual. However, it is not always possible to conduct these localizer scans. Here, we developed and validated a functional region of interest (ROI) atlas of early visual and

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12

Kuniecki, Michał, Andrzej Urbanik, Barbara Sobiecka, Justyna Kozub, and Marek Binder. "Central control of heart rate changes during visual affective processing as revealed by fMRI." Acta Neurobiologiae Experimentalis 63, no. 1 (2003): 39–48. http://dx.doi.org/10.55782/ane-2003-1453.

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In the present study we addressed the question of central control of heart rate (HR) in emotions. Parallel measurement of HR changes and changes of local intensity of blood flow as indexed by fMRI in a procedure eliciting emotions allowed us to pinpoint areas of the brain responsible for HR variations during emotional arousal. In condition eliciting positive emotions we detected activation of occipito-temporal regions, anterior insula, and hypothalamus. In condition eliciting negative emotions we also detected activation of occipito-temporal regions and additionally activation of bilateral ant

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13

Moreau, Quentin, Eleonora Parrotta, Vanessa Era, Maria Luisa Martelli, and Matteo Candidi. "Role of the occipito-temporal theta rhythm in hand visual identification." Journal of Neurophysiology 123, no. 1 (2020): 167–77. http://dx.doi.org/10.1152/jn.00267.2019.

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Neuroimaging and EEG studies have shown that passive observation of the full body and of specific body parts is associated with 1) activity of an occipito-temporal region named the extrastriate body area (EBA), 2) amplitude modulations of a specific posterior event-related potential (ERP) component (N1/N190), and 3) a theta-band (4–7 Hz) synchronization recorded from occipito-temporal electrodes compatible with the location of EBA. To characterize the functional role of the occipito-temporal theta-band increase during the processing of body-part stimuli, we recorded EEG from healthy participan

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Zannino, Gian Daniele, Francesco Barban, Emiliano Macaluso, Carlo Caltagirone, and Giovanni A. Carlesimo. "The Neural Correlates of Object Familiarity and Domain Specificity in the Human Visual Cortex: An fMRI Study." Journal of Cognitive Neuroscience 23, no. 10 (2011): 2878–91. http://dx.doi.org/10.1162/jocn.2011.21629.

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Ventral occipito-temporal cortex is known to play a major role in visual object recognition. Still unknown is whether object familiarity and semantic domain are critical factors in its functional organization. Most models assume a functional locus where exemplars of familiar categories are represented: the structural description system. On the assumption that familiarity should modulate the effect of visual noise on form recognition, we attempted to individualize the structural description system by scanning healthy subjects while they looked at familiar (living and nonliving things) and novel

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15

Cheung, Olivia, and Alfonso Caramazza. "Contextual influences on object representations in the occipito-temporal cortex." Journal of Vision 15, no. 12 (2015): 1169. http://dx.doi.org/10.1167/15.12.1169.

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16

Sams, M., J. K. Hietanen, R. Hari, R. J. Ilmoniemi, and O. V. Lounasmaa. "Face-specific responses from the human inferior occipito-temporal cortex." Neuroscience 77, no. 1 (1997): 49–55. http://dx.doi.org/10.1016/s0306-4522(96)00419-8.

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17

Schiltz, Christine, and Bruno Rossion. "Faces are represented holistically in the human occipito-temporal cortex." NeuroImage 32, no. 3 (2006): 1385–94. http://dx.doi.org/10.1016/j.neuroimage.2006.05.037.

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18

Taylor, John C., and Paul E. Downing. "Division of Labor between Lateral and Ventral Extrastriate Representations of Faces, Bodies, and Objects." Journal of Cognitive Neuroscience 23, no. 12 (2011): 4122–37. http://dx.doi.org/10.1162/jocn_a_00091.

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The occipito-temporal cortex is strongly implicated in carrying out the high-level computations associated with vision. In human neuroimaging studies, focal regions are consistently found within this broad region that respond strongly and selectively to faces, bodies, or objects. A notable feature of these selective regions is that they are found in pairs. In the posterior-lateral occipito-temporal cortex, focal selectivity is found for faces (occipital face area), bodies (extrastriate body area), and objects (lateral occipital). These three areas are found bilaterally and at close quarters to

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19

Kitada, Ryo, Ingrid S. Johnsrude, Takanori Kochiyama, and Susan J. Lederman. "Functional Specialization and Convergence in the Occipito-temporal Cortex Supporting Haptic and Visual Identification of Human Faces and Body Parts: An fMRI Study." Journal of Cognitive Neuroscience 21, no. 10 (2009): 2027–45. http://dx.doi.org/10.1162/jocn.2009.21115.

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Humans can recognize common objects by touch extremely well whenever vision is unavailable. Despite its importance to a thorough understanding of human object recognition, the neuroscientific study of this topic has been relatively neglected. To date, the few published studies have addressed the haptic recognition of nonbiological objects. We now focus on haptic recognition of the human body, a particularly salient object category for touch. Neuroimaging studies demonstrate that regions of the occipito-temporal cortex are specialized for visual perception of faces (fusiform face area, FFA) and

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20

van der Linden, Marieke, Miranda van Turennout, and Peter Indefrey. "Formation of Category Representations in Superior Temporal Sulcus." Journal of Cognitive Neuroscience 22, no. 6 (2010): 1270–82. http://dx.doi.org/10.1162/jocn.2009.21270.

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The human brain contains cortical areas specialized in representing object categories. Visual experience is known to change the responses in these category-selective areas of the brain. However, little is known about how category training specifically affects cortical category selectivity. Here, we investigated the experience-dependent formation of object categories using an fMRI adaptation paradigm. Outside the scanner, subjects were trained to categorize artificial bird types into arbitrary categories (jungle birds and desert birds). After training, neuronal populations in the occipito-tempo

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21

Milner, A. D. "Is visual processing in the dorsal stream accessible to consciousness?" Proceedings of the Royal Society B: Biological Sciences 279, no. 1737 (2012): 2289–98. http://dx.doi.org/10.1098/rspb.2011.2663.

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There are two highly interconnected clusters of visually responsive areas in the primate cortex. These two clusters have relatively few interconnections with each other, though those interconnections are undoubtedly important. One of the two main clusters (the dorsal stream) links the primary visual cortex (V1) to superior regions of the occipito-parietal cortex, while the other (the ventral stream) links V1 to inferior regions of the occipito-temporal cortex. According to our current understanding of the functional anatomy of these two systems, the dorsal stream's principal role is to provide

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22

Rostalski, Sophie‐Marie, Jonathan Edward Robinson, Géza Gergely Ambrus, Patrick Johnston, and Gyula Kovács. "Person identity‐specific adaptation effects in the ventral occipito‐temporal cortex." European Journal of Neuroscience 55, no. 5 (2022): 1232–43. http://dx.doi.org/10.1111/ejn.15604.

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23

Ben-Shachar, Michal, Robert F. Dougherty, Gayle K. Deutsch, and Brian A. Wandell. "Differential Sensitivity to Words and Shapes in Ventral Occipito-Temporal Cortex." Cerebral Cortex 17, no. 7 (2006): 1604–11. http://dx.doi.org/10.1093/cercor/bhl071.

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24

Grotheer, Mareike, Igor Nenadic, Lisa Münke, Szabolcs Kéri, and Gyula Kovács. "Normal repetition probability effects in the occipito-temporal cortex in Schizophrenia." Journal of Vision 15, no. 12 (2015): 1193. http://dx.doi.org/10.1167/15.12.1193.

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25

Cornelissen, Piers, Antti Tarkiainen, Paivi Helenius, and Riitta Salmelin. "Letter-string processing in the left and right occipito-temporal cortex." NeuroImage 13, no. 6 (2001): 874. http://dx.doi.org/10.1016/s1053-8119(01)92216-5.

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26

Humphreys, Gina F., Katherine Newling, Caroline Jennings, and Silvia P. Gennari. "Motion and actions in language: Semantic representations in occipito-temporal cortex." Brain and Language 125, no. 1 (2013): 94–105. http://dx.doi.org/10.1016/j.bandl.2013.01.008.

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27

Xu, Yaoda. "Parietal impact on visual working memory representation in occipito-temporal cortex." Journal of Vision 23, no. 9 (2023): 5925. http://dx.doi.org/10.1167/jov.23.9.5925.

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Duncan, Keith J., Chotiga Pattamadilok, and Joseph T. Devlin. "Investigating Occipito-temporal Contributions to Reading with TMS." Journal of Cognitive Neuroscience 22, no. 4 (2010): 739–50. http://dx.doi.org/10.1162/jocn.2009.21207.

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The debate regarding the role of ventral occipito-temporal cortex (vOTC) in visual word recognition arises, in part, from difficulty delineating the functional contributions of vOTC as separate from other areas of the reading network. Here, we investigated the feasibility of using TMS to interfere with vOTC processing in order to explore its specific contributions to visual word recognition. Three visual lexical decision experiments were conducted using neuronavigated TMS. The first demonstrated that repetitive stimulation of vOTC successfully slowed word, but not nonword, responses. The secon

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29

James, Thomas W., Eunji Huh, and Sunah Kim. "Temporal and spatial integration of face, object, and scene features in occipito-temporal cortex." Brain and Cognition 74, no. 2 (2010): 112–22. http://dx.doi.org/10.1016/j.bandc.2010.07.007.

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30

Dębska, Agnieszka, Chiara Banfi, Katarzyna Chyl, et al. "Neural patterns of word processing differ in children with dyslexia and isolated spelling deficit." Brain Structure and Function 226, no. 5 (2021): 1467–78. http://dx.doi.org/10.1007/s00429-021-02255-2.

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AbstractThere is an ongoing debate concerning the extent to which deficits in reading and spelling share cognitive components and whether they rely, in a similar fashion, on sublexical and lexical pathways of word processing. The present study investigates whether the neural substrates of word processing differ in children with various patterns of reading and spelling deficits. Using functional magnetic resonance imaging, we compared written and auditory processing in three groups of 9–13-year olds (N = 104): (1) with age-adequate reading and spelling skills; (2) with reading and spelling defi

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Heitger, Marcus H., Marc J. M. Macé, Jan Jastorff, Stephan P. Swinnen, and Guy A. Orban. "Cortical regions involved in the observation of bimanual actions." Journal of Neurophysiology 108, no. 9 (2012): 2594–611. http://dx.doi.org/10.1152/jn.00408.2012.

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Although we are beginning to understand how observed actions performed by conspecifics with a single hand are processed and how bimanual actions are controlled by the motor system, we know very little about the processing of observed bimanual actions. We used fMRI to compare the observation of bimanual manipulative actions with their unimanual components, relative to visual control conditions equalized for visual motion. Bimanual action observation did not activate any region specialized for processing visual signals related to this more elaborated action. On the contrary, observation of biman

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Adam, Ruth, and Uta Noppeney. "Prior auditory information shapes visual category-selectivity in ventral occipito-temporal cortex." NeuroImage 52, no. 4 (2010): 1592–602. http://dx.doi.org/10.1016/j.neuroimage.2010.05.002.

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33

Allen, Harriet A., and Glyn W. Humphreys. "Direct Tactile Stimulation of Dorsal Occipito-Temporal Cortex in a Visual Agnosic." Current Biology 19, no. 12 (2009): 1044–49. http://dx.doi.org/10.1016/j.cub.2009.04.057.

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34

Wurm, Moritz F., D. Yves Cramon, and Ricarda I. Schubotz. "The Context–Object–Manipulation Triad: Cross Talk during Action Perception Revealed by fMRI." Journal of Cognitive Neuroscience 24, no. 7 (2012): 1548–59. http://dx.doi.org/10.1162/jocn_a_00232.

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To recognize an action, an observer exploits information about the applied manipulation, the involved objects, and the context where the action occurs. Context, object, and manipulation information are hence expected to be tightly coupled in a triadic relationship (the COM triad hereafter). The current fMRI study investigated the hemodynamic signatures of reciprocal modulation in the COM triad. Participants watched short video clips of pantomime actions, that is, actions performed with inappropriate objects, taking place at compatible or incompatible contexts. The usage of pantomime actions en

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Rossion, Bruno, Daniel Collins, Valérie Goffaux, and Tim Curran. "Long-term Expertise with Artificial Objects Increases Visual Competition with Early Face Categorization Processes." Journal of Cognitive Neuroscience 19, no. 3 (2007): 543–55. http://dx.doi.org/10.1162/jocn.2007.19.3.543.

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The degree of commonality between the perceptual mechanisms involved in processing faces and objects of expertise is intensely debated. To clarify this issue, we recorded occipito-temporal event-related potentials in response to faces when concurrently processing visual objects of expertise. In car experts fixating pictures of cars, we observed a large decrease of an evoked potential elicited by face stimuli between 130 and 200 msec, the N170. This sensory suppression was much lower when the car and face stimuli were separated by a 200-msec blank interval. With and without this delay, there wa

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Nakamura, Kimihiro, Stanislas Dehaene, Antoinette Jobert, Denis Le Bihan, and Sid Kouider. "Subliminal Convergence of Kanji and Kana Words: Further Evidence for Functional Parcellation of the Posterior Temporal Cortex in Visual Word Perception." Journal of Cognitive Neuroscience 17, no. 6 (2005): 954–68. http://dx.doi.org/10.1162/0898929054021166.

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Recent evidence has suggested that the human occipito-temporal region comprises several subregions, each sensitive to a distinct processing level of visual words. To further explore the functional architecture of visual word recognition, we employed a subliminal priming method with functional magnetic resonance imaging (fMRI) during semantic judgments of words presented in two different Japanese scripts, Kanji and Kana. Each target word was preceded by a subliminal presentation of either the same or a different word, and in the same or a different script. Behaviorally, word repetition produced

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Teder-Sälejärvi, W. A., F. Di Russo, J. J. McDonald, and S. A. Hillyard. "Effects of Spatial Congruity on Audio-Visual Multimodal Integration." Journal of Cognitive Neuroscience 17, no. 9 (2005): 1396–409. http://dx.doi.org/10.1162/0898929054985383.

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Spatial constraints on multisensory integration of auditory (A) and visual (V) stimuli were investigated in humans using behavioral and electrophysiological measures. The aim was to find out whether cross-modal interactions between A and V stimuli depend on their spatial congruity, as has been found for multisensory neurons in animal studies (Stein & Meredith, 1993). Randomized sequences of unimodal (A or V) and simultaneous bimodal (AV) stimuli were presented to right-or left-field locations while subjects made speeded responses to infrequent targets of greater intensity that occurred in

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Bussey, Timothy J., Lisa M. Saksida, and Elisabeth A. Murray. "The Perceptual-Mnemonic/Feature Conjunction Model of Perirhinal Cortex Function." Quarterly Journal of Experimental Psychology Section B 58, no. 3-4b (2005): 269–82. http://dx.doi.org/10.1080/02724990544000004.

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The perirhinal cortex was once thought to be “silent cortex”, virtually ignored by researchers interested in the neurobiology of learning and memory. Following studies of brain damage associated with cases of amnesia, perirhinal cortex is now widely regarded as part of a “medial temporal lobe (MTL) memory system”. This system is thought to be more or less functionally homogeneous, having a special role in declarative memory, and making little or no contribution to other functions such as perception. In the present article, we summarize an alternative view. First, we propose that components of

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Woollams, Anna M., Giorgia Silani, Kayoko Okada, Karalyn Patterson, and Cathy J. Price. "Word or Word-like? Dissociating Orthographic Typicality from Lexicality in the Left Occipito-temporal Cortex." Journal of Cognitive Neuroscience 23, no. 4 (2011): 992–1002. http://dx.doi.org/10.1162/jocn.2010.21502.

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Prior lesion and functional imaging studies have highlighted the importance of the left ventral occipito-temporal (LvOT) cortex for visual word recognition. Within this area, there is a posterior–anterior hierarchy of subregions that are specialized for different stages of orthographic processing. The aim of the present fMRI study was to dissociate the effects of subword orthographic typicality (e.g., cider [high] vs. cynic [low]) from the effect of lexicality (e.g., pollen [word] vs. pillen [pseudoword]). We therefore orthogonally manipulated the orthographic typicality of written words and p

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40

Kable, Joseph W., Irene P. Kan, Ashley Wilson, Sharon L. Thompson-Schill, and Anjan Chatterjee. "Conceptual Representations of Action in the Lateral Temporal Cortex." Journal of Cognitive Neuroscience 17, no. 12 (2005): 1855–70. http://dx.doi.org/10.1162/089892905775008625.

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Retrieval of conceptual information from action pictures causes greater activation than from object pictures bilaterally in human motion areas (MT/MST) and nearby temporal regions. By contrast, retrieval of conceptual information from action words causes greater activation in left middle and superior temporal gyri, anterior and dorsal to the MT/MST. We performed two fMRI experiments to replicate and extend these findings regarding action words. In the first experiment, subjects performed conceptual judgments of action and object words under conditions that stressed visual semantic information.

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41

Walbrin, Jon, and Jorge Almeida. "High-Level Representations in Human Occipito-Temporal Cortex Are Indexed by Distal Connectivity." Journal of Neuroscience 41, no. 21 (2021): 4678–85. http://dx.doi.org/10.1523/jneurosci.2857-20.2021.

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42

Rossion, B., C. Nameche, B. Sorger, and R. Goebel. "A whole-to-part advantage for processing faces in the occipito-temporal cortex." Journal of Vision 6, no. 6 (2010): 429. http://dx.doi.org/10.1167/6.6.429.

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Hagen, Simen, Corentin Jacques, Louis Maillard, Sophie Colnat-Coulbois, Bruno Rossion, and Jacques Jonas. "Mapping face- and house-selectivity in ventral occipito-temporal cortex with intracerebral potentials." Journal of Vision 19, no. 10 (2019): 55a. http://dx.doi.org/10.1167/19.10.55a.

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44

Caspari, Natalie, Ivo D. Popivanov, Patrick A. De Mazière, et al. "Fine-grained stimulus representations in body selective areas of human occipito-temporal cortex." NeuroImage 102 (November 2014): 484–97. http://dx.doi.org/10.1016/j.neuroimage.2014.07.066.

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45

Olulade, O. A., D. L. Flowers, E. M. Napoliello, and G. F. Eden. "Dyslexic children lack word selectivity gradients in occipito-temporal and inferior frontal cortex." NeuroImage: Clinical 7 (2015): 742–54. http://dx.doi.org/10.1016/j.nicl.2015.02.013.

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46

Liu, Tina T., Adrian Nestor, Mark D. Vida, et al. "Successful Reorganization of Category-Selective Visual Cortex following Occipito-temporal Lobectomy in Childhood." Cell Reports 24, no. 5 (2018): 1113–22. http://dx.doi.org/10.1016/j.celrep.2018.06.099.

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Kim, Esther S., Kindle Rising, Steven Z. Rapcsak, and Pélagie M. Beeson. "Treatment for Alexia With Agraphia Following Left Ventral Occipito-Temporal Damage: Strengthening Orthographic Representations Common to Reading and Spelling." Journal of Speech, Language, and Hearing Research 58, no. 5 (2015): 1521–37. http://dx.doi.org/10.1044/2015_jslhr-l-14-0286.

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Purpose Damage to left ventral occipito-temporal cortex can give rise to written language impairment characterized by pure alexia/letter-by-letter (LBL) reading, as well as surface alexia and agraphia. The purpose of this study was to examine the therapeutic effects of a combined treatment approach to address concurrent LBL reading with surface alexia/agraphia. Method Simultaneous treatment to address slow reading and errorful spelling was administered to 3 individuals with reading and spelling impairments after left ventral occipito-temporal damage due to posterior cerebral artery stroke. Sin

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Cornelissen, Piers, Antti Tarkiainen, Päivi Helenius, and Riitta Salmelin. "Cortical Effects of Shifting Letter Position in Letter Strings of Varying Length." Journal of Cognitive Neuroscience 15, no. 5 (2003): 731–46. http://dx.doi.org/10.1162/jocn.2003.15.5.731.

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Neuroimaging and lesion studies suggest that occipitotemporal brain areas play a necessary role in recognizing a wide variety of objects, be they faces, letters, numbers, or household items. However, many questions remain regarding the details of exactly what kinds of information are processed by the occipito-temporal cortex. Here, we address this question with respect to reading. Ten healthy adult subjects performed a single word reading task. We used whole-head magnetoencephalography to measure the spatio-temporal dynamics of brain responses, and investigated their sensitivity to: (1) lexica

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Whiting, Wythe L., David J. Madden, Linda K. Langley, et al. "Lexical and Sublexical Components of Age-related Changes in Neural Activation during Visual Word Identification." Journal of Cognitive Neuroscience 15, no. 3 (2003): 475–87. http://dx.doi.org/10.1162/089892903321593171.

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Positron emission tomography data (Madden, Langley, et al., 2002) were analyzed to investigate adult age differences in the relation between neural activation and the lexical (word frequency) and sublexical (word length) components of visual word identification. The differential influence of these components on reaction time (RT) for word/nonword discrimination (lexical decision) was generally similar for the two age groups, with word frequency accounting for a greater proportion of lexical decision RT variance relative to word length. The influence of word length on RT, however, was relativel

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Hagen, Simen, Aliette Lochy, Corentin Jacques, et al. "Dissociated face- and word-selective intracerebral responses in the human ventral occipito-temporal cortex." Journal of Vision 20, no. 11 (2020): 713. http://dx.doi.org/10.1167/jov.20.11.713.

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