scholarly journals Spatially Dissociated Intracerebral Maps for Face- and House-Selective Activity in the Human Ventral Occipito-Temporal Cortex

2020 ◽  
Vol 30 (7) ◽  
pp. 4026-4043 ◽  
Author(s):  
Simen Hagen ◽  
Corentin Jacques ◽  
Louis Maillard ◽  
Sophie Colnat-Coulbois ◽  
Bruno Rossion ◽  
...  
Keyword(s):  
Brain Function ◽  
Visual Recognition ◽  
Semantic Information ◽  
Right Hemisphere ◽  
Temporal Cortex ◽  
Neural Basis ◽  
Visual Objects ◽  
Epileptic Patients ◽  
Comprehensive Mapping

Abstract We report a comprehensive mapping of the human ventral occipito-temporal cortex (VOTC) for selective responses to frequency-tagged faces or landmarks (houses) presented in rapid periodic trains of objects, with intracerebral recordings in a large sample (N = 75). Face-selective contacts are three times more numerous than house-selective contacts and show a larger amplitude, with a right hemisphere advantage for faces. Most importantly, these category-selective contacts are spatially dissociated along the lateral-to-medial VOTC axis, respectively, consistent with neuroimaging evidence. At the minority of “overlap” contacts responding selectively to both faces and houses, response amplitude to the two categories is not correlated, suggesting a contribution of distinct populations of neurons responding selectively to each category. The medio-lateral dissociation also extends into the underexplored anterior temporal lobe (ATL). In this region, a relatively high number of intracerebral recording contacts show category-exclusive responses (i.e., without any response to baseline visual objects) to faces but rarely to houses, in line with the proposed role of this region in processing people-related semantic information. Altogether, these observations shed novel insight on the neural basis of human visual recognition and strengthen the validity of the frequency-tagging approach coupled with intracerebral recordings in epileptic patients to understand human brain function.

Imaging Fatigue of Interference Control Reveals the Neural Basis of Executive Resource Depletion

2013 ◽  
Vol 25 (3) ◽  
pp. 338-351 ◽  
Author(s):  
Jonas Persson ◽  
Anne Larsson ◽  
Patricia A. Reuter-Lorenz
Keyword(s):  
Executive Control ◽  
Right Hemisphere ◽  
Inferior Frontal Gyrus ◽  
Temporal Cortex ◽  
Active Regions ◽  
Resource Depletion ◽  
Control Group ◽  
Interference Control ◽  
Neural Basis ◽  
Executive Process

Executive control coordinates, prioritizes, and selects task-relevant representations under conditions of conflict. Behavioral evidence has documented that executive resources are separable, finite, and can be temporarily depleted; however, the neural basis for such resource limits are largely unknown. Here, we investigate the neural correlates underlying the fatigue or depletion of interference control, an executive process hypothesized to mediate competition among candidate memory representations. Using a pre/post continuous acquisition fMRI design, we demonstrate that, compared with a nondepletion control group, the depletion group showed a fatigue-induced performance deficit that was specific to interference control and accompanied by a left-to-right shift in the network of active regions. Specifically, we observed decreased BOLD signal in the left inferior frontal gyrus (IFG), striatum, and the cerebellum, along with a corresponding increase in right hemisphere regions including the IFG, insular, and temporal cortex. Depletion-related changes in activation magnitude correlated with behavioral changes, suggesting that decreased recruitment of task-relevant regions, including left IFG, contributes to impaired interference control. These results provide new evidence about the brain dynamics of “process-specific” fatigue and suggest that depletion may pose a significant limitation on the cognitive and neural resources available for executive control.

N250 ERP Correlates of the Acquisition of Face Representations across Different Images

2009 ◽  
Vol 21 (4) ◽  
pp. 625-641 ◽  
Author(s):  
Jürgen M. Kaufmann ◽  
Stefan R. Schweinberger ◽  
A. Mike Burton
Keyword(s):  
Face Recognition ◽  
Semantic Information ◽  
Brain Research ◽  
Temporal Cortex ◽  
Recognition Task ◽  
Visual Presentation ◽  
Inferior Temporal Cortex ◽  
Video Clips ◽  
The Face

We used ERPs to investigate neural correlates of face learning. At learning, participants viewed video clips of unfamiliar people, which were presented either with or without voices providing semantic information. In a subsequent face-recognition task (four trial blocks), learned faces were repeated once per block and presented interspersed with novel faces. To disentangle face from image learning, we used different images for face repetitions. Block effects demonstrated that engaging in the face-recognition task modulated ERPs between 170 and 900 msec poststimulus onset for learned and novel faces. In addition, multiple repetitions of different exemplars of learned faces elicited an increased bilateral N250. Source localizations of this N250 for learned faces suggested activity in fusiform gyrus, similar to that found previously for N250r in repetition priming paradigms [Schweinberger, S. R., Pickering, E. C., Jentzsch, I., Burton, A. M., & Kaufmann, J. M. Event-related brain potential evidence for a response of inferior temporal cortex to familiar face repetitions. Cognitive Brain Research, 14, 398–409, 2002]. Multiple repetitions of learned faces also elicited increased central–parietal positivity between 400 and 600 msec and caused a bilateral increase of inferior–temporal negativity (>300 msec) compared with novel faces. Semantic information at learning enhanced recognition rates. Faces that had been learned with semantic information elicited somewhat less negative amplitudes between 700 and 900 msec over left inferior–temporal sites. Overall, the findings demonstrate a role of the temporal N250 ERP in the acquisition of new face representations across different images. They also suggest that, compared with visual presentation alone, additional semantic information at learning facilitates postperceptual processing in recognition but does not facilitate perceptual analysis of learned faces.

scholarly journals The Neurological Asymmetry of Self-Face Recognition

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1135
Author(s):  
Aleksandra Janowska ◽  
Brianna Balugas ◽  
Matthew Pardillo ◽  
Victoria Mistretta ◽  
Katherine Chavarria ◽  
...  
Keyword(s):  
Face Recognition ◽  
Social Relationships ◽  
Right Hemisphere ◽  
Temporal Cortex ◽  
Neural Correlates ◽  
Self Awareness ◽  
Functional Magnetic Resonance ◽  
Neural Basis ◽  
Direct Inhibition ◽  
Hemisphere Dominance

While the desire to uncover the neural correlates of consciousness has taken numerous directions, self-face recognition has been a constant in attempts to isolate aspects of self-awareness. The neuroimaging revolution of the 1990s brought about systematic attempts to isolate the underlying neural basis of self-face recognition. These studies, including some of the first fMRI (functional magnetic resonance imaging) examinations, revealed a right-hemisphere bias for self-face recognition in a diverse set of regions including the insula, the dorsal frontal lobe, the temporal parietal junction, and the medial temporal cortex. In this systematic review, we provide confirmation of these data (which are correlational) which were provided by TMS (transcranial magnetic stimulation) and patients in which direct inhibition or ablation of right-hemisphere regions leads to a disruption or absence of self-face recognition. These data are consistent with a number of theories including a right-hemisphere dominance for self-awareness and/or a right-hemisphere specialization for identifying significant social relationships, including to oneself.

scholarly journals Acute Ischemic Lesions Associated With Impairments in Expression and Recognition of Affective Prosody

2016 ◽  
Vol 1 (2) ◽  
pp. 82-95 ◽  
Author(s):  
Amy E. Wright ◽  
Cameron Davis ◽  
Yessenia Gomez ◽  
Joseph Posner ◽  
Christopher Rorden ◽  
...  
Keyword(s):  
Right Hemisphere ◽  
Emotional Prosody ◽  
Neural Basis ◽  
Affective Prosody ◽  
Temporal Pole ◽  
Anterior Temporal Pole ◽  
B Test ◽  
Double Dissociations ◽  
Selective Impairment

Purpose We aimed to: (a) review existing data on the neural basis of affective prosody; (b) test the hypothesis that there are double dissociations in impairments of expression and recognition of affective prosody; and (c) identify areas of infarct associated with impaired expression and/or recognition of affective prosody after acute right hemisphere (RH) ischemic stroke. Methods Participants were tested on recognition of emotional prosody in content-neutral sentences. Expression was evaluated by measuring variability in fundamental frequency. Voxel-based symptom mapping was used to identify areas associated with severity of expressive deficits. Results We found that 9/23 patients had expressive prosody impairments; 5/9 of these patients also had impaired recognition of affective prosody; 2/9 had selective deficits in expressive prosody; recognition was not tested in 2/9. Another 6/23 patients had selective impairment in recognition of affective prosody. Severity of expressive deficits was associated with lesions in right temporal pole; patients with temporal pole lesions had deficits in expression and recognition. Conclusions Expression and recognition of prosody can be selectively impaired. Damage to right anterior temporal pole is associated with impairment of both, indicating a role of this structure in a mechanism shared by expression and production of affective prosody.

scholarly journals The role of the right hemisphere in processing phonetic variability between talkers

2020 ◽  
pp. 1-39
Author(s):  
Sahil Luthra
Keyword(s):  
Speech Perception ◽  
Right Hemisphere ◽  
Speech Sound ◽  
Temporal Cortex ◽  
Careful Consideration ◽  
Apparent Paradox ◽  
Right Hemisphere Damage ◽  
The Right ◽  
Identity Processing

Neurobiological models of speech perception posit that both left and right posterior temporal brain regions are involved in the early auditory analysis of speech sounds. However, frank deficits in speech perception are not readily observed in individuals with right hemisphere damage. Instead, damage to the right hemisphere is often associated with impairments in vocal identity processing. Herein lies an apparent paradox: The mapping between acoustics and speech sound categories can vary substantially across talkers, so why might right hemisphere damage selectively impair vocal identity processing without obvious effects on speech perception? In this review, I attempt to clarify the role of the right hemisphere in speech perception through a careful consideration of its role in processing vocal identity. I review evidence showing that right posterior superior temporal, right anterior superior temporal and right inferior / middle frontal regions all play distinct roles in vocal identity processing. In considering the implications of these findings for neurobiological accounts of speech perception, I argue that the recruitment of right posterior superior temporal cortex during speech perception may specifically reflect the process of conditioning phonetic identity on talker information. I suggest that the relative lack of involvement of other right hemisphere regions in speech perception may be because speech perception does not necessarily place a high burden on talker processing systems, and I argue that the extant literature hints at potential subclinical impairments in the speech perception abilities of individuals with right hemisphere damage.

scholarly journals The Neurological Asymmetry of Self-Face Recognition

2021 ◽  
Author(s):  
Aleksandra Janowska ◽  
Brianna Balugas ◽  
Matthew Pardillo ◽  
Victoria Mistretta ◽  
Katherine Chavarria ◽  
...  
Keyword(s):  
Face Recognition ◽  
Social Relationships ◽  
Right Hemisphere ◽  
Temporal Cortex ◽  
Neural Correlates ◽  
Self Awareness ◽  
Imaging Studies ◽  
Neural Basis ◽  
Direct Inhibition ◽  
Hemisphere Dominance

While the desire to uncover the neural correlates of consciousness has taken numerous directions, self-face recognition has been a constant in attempts to isolate aspects of self-awareness. The neuroimaging revolution of the 1990’s bought about systematic attempts to isolate the underlying neural basis self-face recognition. These studies, including some of the first fMRI (functional Magnetic Resonance Imaging) studies, revealed a right hemisphere bias for self-face recognition in a diverse set of regions including the insula, the Dorsal Frontal Lobe, the Temporal Parietal Junction and Medial Temporal Cortex. Confirmation of these data (which are correlational) was provided by TMS (Transcranial Magnetic Stimulation) and patients in which direct inhibition or ablation of right hemisphere regions leads to a disruption or absence of self-face recognition. These data are consistent with a number of theories including a right hemisphere dominance for self-awareness and/or a right hemisphere specialization for identifying significant social relationships including to oneself.

scholarly journals Beyond Laterality: A Critical Assessment of Research on the Neural Basis of Metaphor

2009 ◽  
Vol 16 (1) ◽  
pp. 1-5 ◽  
Author(s):  
GWENDA L. SCHMIDT ◽  
ALEXANDER KRANJEC ◽  
EILEEN R. CARDILLO ◽  
ANJAN CHATTERJEE
Keyword(s):  
Right Hemisphere ◽  
Human Cognition ◽  
Fundamental Aspect ◽  
Neural Basis ◽  
Theoretical Frameworks ◽  
Parts Of Speech ◽  
Plausible Model ◽  
Lesion Symptom Mapping ◽  
The Right

AbstractMetaphors are a fundamental aspect of human cognition. The major neuropsychological hypothesis that metaphoric processing relies primarily on the right hemisphere is not confirmed consistently. We propose ways to advance our understanding of the neuropsychology of metaphor that go beyond simple laterality. Neuropsychological studies need to more carefully control confounding lexical and sentential factors, and consider the role of different parts of speech as they are extended metaphorically. They need to incorporate recent theoretical frameworks such as the career of metaphor theory, and address factors such as novelty. We also advocate the use of new methods such as voxel-based lesion-symptom mapping, which permits precise and formal tests of hypotheses correlating behavior with lesions sites. Finally, we outline a plausible model for the neural basis of metaphor. (JINS, 2010, 16, 1–5.)

Microbiota, Immune System and Autism Spectrum Disorders: An Integrative Model towards Novel Treatment Options

2020 ◽  
Vol 27 (31) ◽  
pp. 5119-5136 ◽  
Author(s):  
Barbara Carpita ◽  
Donatella Marazziti ◽  
Lionella Palego ◽  
Gino Giannaccini ◽  
Laura Betti ◽  
...  
Keyword(s):  
Immune System ◽  
Familial Aggregation ◽  
Treatment Options ◽  
Autism Spectrum ◽  
Integrative Model ◽  
Neural Basis ◽  
Integrative Framework ◽  
Intermediate Phenotypes ◽  
Close Relatives

Background: Autism Spectrum Disorder (ASD) is a condition strongly associated with genetic predisposition and familial aggregation. Among ASD patients, different levels of symptoms severity are detectable, while the presence of intermediate autism phenotypes in close relatives of ASD probands is also known in literature. Recently, increasing attention has been paid to environmental factors that might play a role in modulating the relationship between genomic risk and development and severity of ASD. Within this framework, an increasing body of evidence has stressed a possible role of both gut microbiota and inflammation in the pathophysiology of neurodevelopment. The aim of this paper is to review findings about the link between microbiota dysbiosis, inflammation and ASD. Methods: Articles ranging from 1990 to 2018 were identified on PUBMED and Google Scholar databases, with keyword combinations as: microbiota, immune system, inflammation, ASD, autism, broad autism phenotype, adult. Results: Recent evidence suggests that microbiota alterations, immune system and neurodevelopment may be deeply intertwined, shaping each other during early life. However, results from both animal models and human samples are still heterogeneous, while few studies focused on adult patients and ASD intermediate phenotypes. Conclusion: A better understanding of these pathways, within an integrative framework between central and peripheral systems, might not only shed more light on neural basis of ASD symptoms, clarifying brain pathophysiology, but it may also allow to develop new therapeutic strategies for these disorders, still poorly responsive to available treatments.

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