Dynamic Domain Specificity In Human Ventral Temporal Cortex DOI
Brett Bankson, Matthew J. Boring, R. Mark Richardson

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2020, Volume and Issue: unknown

Published: Nov. 12, 2020

ABSTRACT An enduring neuroscientific debate concerns the extent to which neural representation is restricted populations specialized for particular domains of perceptual input, or distributed outside highly selective as well. A critical level this identity individual images, such individual-level face written word recognition. Here, intracranial recordings throughout ventral temporal cortex across 17 human subjects were used assess spatiotemporal dynamics and processing within regions strongly these categories visual information. Individual faces words first discriminable primarily only in areas, beginning at about 150 milliseconds after onset, then both areas approximately 170 later. Regions that not contributed non-redundant information discrimination images. These results can reconcile previous endorsing disparate poles domain specificity by highlighting temporally segregated contributions different functionally defined cortical representations. This work supports a dynamic model characterized successive domain-specific stages.

Language: Английский

Intracerebral Electrophysiological Recordings to Understand the Neural Basis of Human Face Recognition DOI Creative Commons
Bruno Rossion, Corentin Jacques, Jacques Jonas

et al.

Brain Sciences, Journal Year: 2023, Volume and Issue: 13(2), P. 354 - 354

Published: Feb. 18, 2023

Understanding how the human brain recognizes faces is a primary scientific goal in cognitive neuroscience. Given limitations of monkey model face recognition, key approach this endeavor recording electrophysiological activity with electrodes implanted inside epileptic patients. However, number challenges that must be overcome for meaningful knowledge to emerge. Here we synthesize 10 year research program combining intracerebral (StereoElectroEncephaloGraphy, SEEG) ventral occipito-temporal cortex (VOTC) large samples participants and fast periodic visual stimulation (FPVS), objectively define, quantify, characterize neural basis recognition. These large-scale studies reconcile wide distribution recognition its (right) hemispheric regional specialization extend face-selectivity anterior regions VOTC, including temporal lobe (VATL) typically affected by magnetic susceptibility artifacts functional resonance imaging (fMRI). Clear spatial dissociations category-selectivity between other stimuli such as landmarks (houses, medial VOTC regions) or written words (left lateralized VOTC) are found, confirming extending neuroimaging observations while supporting validity clinical population tested inform about normal function. The identity - arguably ultimate form beyond mere differences physical features essentially supported selective populations neurons right inferior occipital gyrus lateral portion middle fusiform gyrus. In addition, low-frequency high-frequency broadband iEEG signals appear largely concordant association cortex. We conclude outlining understand next years.

Language: Английский

Citations

14
Measuring self‐similarity in empirical signals to understand musical beat perception DOI Creative Commons
Tomas Lenc, Cédric Lenoir, Peter E. Keller

et al.

European Journal of Neuroscience, Journal Year: 2025, Volume and Issue: 61(2)

Published: Jan. 1, 2025

Abstract Experiencing music often entails the perception of a periodic beat. Despite being widespread phenomenon across cultures, nature and neural underpinnings beat remain largely unknown. In last decade, there has been growing interest in developing methods to probe these processes, particularly measure extent which beat‐related information is contained behavioral responses. Here, we propose theoretical framework practical implementation an analytic approach capture periodicity empirical signals using frequency‐tagging. We highlight its sensitivity measuring perceived represented range continuous time‐varying with minimal assumptions. also discuss limitation this respect specificity when restricted only from magnitude spectrum signal introduce novel extension based on autocorrelation overcome issue. test new autocorrelation‐based method simulated by re‐analyzing previously published data show how it can be used process measurements brain activity as captured surface EEG adults infants response rhythmic inputs. Taken together, related methodological advances confirm elaborate frequency‐tagging promising window into processes underlying and, more generally, temporally coordinated behaviors.

Language: Английский

Citations

0
Anatomo-functional basis of emotional and motor resonance elicited by facial expressions DOI
Maria Del Vecchio, Pietro Avanzini, Marzio Gerbella

et al.

Brain, Journal Year: 2024, Volume and Issue: 147(9), P. 3018 - 3031

Published: Feb. 14, 2024

Abstract Simulation theories predict that the observation of other’s expressions modulates neural activity in same centres controlling their production. This hypothesis has been developed by two models, postulating visual input is directly projected either to motor system for action recognition (motor resonance) or emotional/interoceptive regions emotional contagion and social synchronization (emotional resonance). Here we investigated role frontal/insular processing observed combining intracranial recording, electrical stimulation effective connectivity. First, intracranially recorded from prefrontal, premotor anterior insular 44 patients during passive expressions, finding widespread modulations prefrontal/insular (anterior cingulate cortex, insula, orbitofrontal cortex inferior frontal gyrus) territories (Rolandic operculum junction). Subsequently, electrically stimulated activated sites, (i) elicited responses, as predicted ‘emotional resonance model’; (ii) Rolandic it evoked face/mouth sensorimotor line with ‘motor resonance’ model; (iii) all other were unresponsive revealed functions unrelated facial expressions. Finally, traced connectivity sketch a network-level description these regions, insula are reciprocally interconnected while part parieto-frontal circuits poorly connected former. These results support pathways hypothesized models work parallel, differing terms spatio-temporal fingerprints, reactivity patterns.

Language: Английский

Citations

2
Measuring self-similarity in empirical signals to understand musical beat perception DOI Open Access
Tomas Lenc, Cédric Lenoir, Peter E. Keller

et al.

Published: April 23, 2024

Experiencing music often entails the perception of a periodic beat. Despite being widespread phenomenon across cultures, nature and neural underpinnings beat remain largely unknown. In last decade, there has been growing interest in developing methods to probe these processes, particularly measure extent which beat-related information is contained behavioral responses. Here, we propose theoretical framework practical implementation an analytic approach capture periodicity empirical signals using frequency-tagging. We highlight its sensitivity measuring perceived represented range continuous time-varying with minimal assumptions. also discuss limitation this respect specificity when restricted only from magnitude spectrum signal, introduce novel extension based on autocorrelation overcome issue. test new autocorrelation-based method simulated by re-analyzing previously published data, show how it can be used process measurements brain activity as captured surface EEG adults infants response rhythmic inputs. Taken together, related methodological advances confirm elaborate frequency-tagging promising window into processes underlying and, more generally, temporally coordinated behaviors.

Language: Английский

Citations

2
Face-selective multi-unit activity in the proximity of the FFA modulated by facial expression stimuli DOI
Vadim Axelrod,

Camille Rozier,

Tal Seidel Malkinson

et al.

Neuropsychologia, Journal Year: 2022, Volume and Issue: 170, P. 108228 - 108228

Published: March 28, 2022

Language: Английский

Citations

5
The mechanisms supporting holistic perception of words and faces are not independent DOI Open Access
Paulo Ventura, Tina T. Liu, Francisco Cruz

et al.

Memory & Cognition, Journal Year: 2022, Volume and Issue: 51(4), P. 966 - 981

Published: Nov. 14, 2022

Language: Английский

Citations

5
Domain Specificity vs. Domain Generality: The Case of Faces and Words DOI Creative Commons
Paulo Ventura, Francisco Cruz

Vision, Journal Year: 2023, Volume and Issue: 8(1), P. 1 - 1

Published: Dec. 21, 2023

Faces and words are ever-present stimuli in social environments that require fine-grained, efficient discrimination of their constituents order to acquire meaning. Provided these share multiple characteristics, while simultaneously being different visual object categories important ways, a debate has ensued pertaining whether processing can be reduced common mechanism or each category mobilizes exclusive resources. We thus first present briefly domain-specific domain-general accounts, as opposing perspectives highlight the absence presence commonalities face word processing, respectively. then focus on how faces processed. While usually associated with holistic facial features, create perceptual whole, there is no such consensus processing. Words have been argued rely either letter-by-letter way closer faces, since they also objects expertise. Lastly, we advance by providing an overview our latest research findings. These findings provide more direct comparison incorporating both one task concurrently.

Language: Английский

Citations

1
Understanding structure–function relationships in the mammalian visual system: part one DOI Open Access
Hiromasa Takemura, Marcello G. P. Rosa

Brain Structure and Function, Journal Year: 2021, Volume and Issue: 226(9), P. 2741 - 2744

Published: Oct. 15, 2021

Language: Английский

Citations

1
How Can I Investigate Perceptual and Cognitive Function Using Neural Frequency Tagging? DOI
Simon Henin, Caspar M. Schwiedrzik, Nai Ding

et al.

Studies in neuroscience, psychology and behavioral economics, Journal Year: 2023, Volume and Issue: unknown, P. 507 - 519

Published: Jan. 1, 2023

Language: Английский

Citations

0
Dynamic Domain Specificity In Human Ventral Temporal Cortex DOI
Brett Bankson, Matthew J. Boring, R. Mark Richardson

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2020, Volume and Issue: unknown

Published: Nov. 12, 2020

ABSTRACT An enduring neuroscientific debate concerns the extent to which neural representation is restricted populations specialized for particular domains of perceptual input, or distributed outside highly selective as well. A critical level this identity individual images, such individual-level face written word recognition. Here, intracranial recordings throughout ventral temporal cortex across 17 human subjects were used assess spatiotemporal dynamics and processing within regions strongly these categories visual information. Individual faces words first discriminable primarily only in areas, beginning at about 150 milliseconds after onset, then both areas approximately 170 later. Regions that not contributed non-redundant information discrimination images. These results can reconcile previous endorsing disparate poles domain specificity by highlighting temporally segregated contributions different functionally defined cortical representations. This work supports a dynamic model characterized successive domain-specific stages.

Language: Английский

Citations

0