Maladaptive Laterality in Cortical Networks Related to Social Communication in Autism Spectrum Disorder

Journal of Neuroscience, Journal Year: 2022, Volume and Issue: 42(48), P. 9045 - 9052

Published: Oct. 18, 2022

Neuroimaging studies of individuals with autism spectrum disorders (ASDs) consistently find an aberrant pattern reduced laterality in brain networks that support functions related to social communication and language. However, it is unclear how the underlying functional organization these altered ASD individuals. We tested four models a network 70 (14 females) control group same number tightly matched typically developing (TD) (19 using high-quality resting-state fMRI data method measuring patterns across brain. found functionally defined exhibited typical left both groups, whereas there was significant increase within- relative across-hemisphere connectivity homotopic regions right hemisphere Furthermore, greater positively correlated measure verbal ability ASD, but not TD, negatively measure. Crucially, differences were two other specifically metrics core components phenotype. These results suggest previous reports because hemispheres functioning more independently than seen TD individuals, atypical right-hemisphere component being maladaptive. SIGNIFICANCE STATEMENT A consistent neuroimaging finding data. Our may be atypically

Language: Английский

---

FunMaps: a method for parcellating functional brain networks using resting-state functional MRI data

Frontiers in Human Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Sept. 24, 2024

Parcellations of resting-state functional magnetic resonance imaging (rs-fMRI) data are widely used to create topographical maps networks in the human brain. While such network highly useful for studying brain organization and function, they usually require large sample sizes make them, thus creating practical limitations researchers that would like carry out parcellations on collected their labs. Furthermore, it can be difficult quantitatively evaluate results a parcellation since identified using clustering algorithm, principal components analysis, single group-averaged connectivity map. To address these challenges, we developed FunMaps method: routine intrinsically incorporates stability replicability by keeping only distinctions agree across halves over multiple random iterations. Here, demonstrate efficacy flexibility FunMaps, while describing step-by-step instructions running program. The method is publicly available GitHub ( https://github.com/persichetti-lab/FunMaps ). It includes source code auxiliary preparing data, evaluating parcellation, displaying results.

Language: Английский

---

Dissociated face- and word-selective intracerebral responses in the human ventral occipito-temporal cortex

Brain Structure and Function, Journal Year: 2021, Volume and Issue: 226(9), P. 3031 - 3049

Published: Aug. 9, 2021

Abstract The extent to which faces and written words share neural circuitry in the human brain is actively debated. Here, we compare face-selective word-selective responses a large group of patients ( N = 37) implanted with intracerebral electrodes ventral occipito-temporal cortex (VOTC). Both (i.e., significantly different vs. non-face visual objects) pseudofonts) activity isolated frequency-tagging. Critically, this sensitive approach allows objectively quantify category-selective disentangle them from general responses. About 70% significant electrode contacts show either face-selectivity or word-selectivity only, expected right left hemispheric dominance, respectively. Spatial dissociations are also found within core regions face word processing, medio-lateral dissociation fusiform gyrus (FG) surrounding sulci, In 30% overlapping face- across VOTC FG between-category-selective amplitudes (faces words) no-to-weak correlations, despite strong correlations both within-category-selective (face–face, word–word) faces. Overall, these observations support view that for largely dissociated adult VOTC.

Language: Английский

---

Tracking the mind’s eyes: Spatiotemporal Dynamics of Domain-General and Domain-Specific Visual Mental Imagery

Published: May 3, 2024

When we relive our memories, enjoy a novel, create painting, or predict whether car will fit in parking spot, use “Mind’s Eye” to engage Visual Mental Imagery (VMI). The current consensus is that VMI depends crucially on early visual areas. By contrast, longstanding evidence from neurological patients demonstrates vivid possible even with no contribution these Instead, can be impaired by left temporal damage. In meta-analysis of neuroimaging studies, discovered VMI-associated activity, not only fronto-parietal areas, where it had been detected earlier but also previously undescribed functional region the ventrotemporal cortex, which have called Fusiform Node (FIN). role this was apparent ultra-high field 7T fMRI showed activation left-hemisphere relevant domain-preferring areas ventral cortex partly overlapping perceptual and domain-general FIN. These recent results make ideal moment build new neurocognitive model voluntary VMI, reliant heterarchical neural architecture mixes domain-specific mechanisms. study, identify cortical nodes VMI-related networks using MEG neurotypical participants, ascertain dynamics processes associated VMI. Results compared contrasted against predictions competing models mental imagery, providing hypotheses for mechanisms underlying function, building bridge broader theories conscious awareness.

Language: Английский

---

Multimodal Object Representations Rely on Integrative Coding

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2022, Volume and Issue: unknown

Published: Sept. 1, 2022

Abstract Combining information from multiple senses is essential to object recognition. Yet how the mind combines sensory input into coherent multimodal representations – binding problem remains poorly understood. Here, we applied multi-echo fMRI across a four-day paradigm, in which participants learned 3-dimensional created well-characterized visual shape and sound features. Our novel paradigm decoupled their baseline unimodal features, thus tracking emergence of concepts as they were by healthy adults. Critically, representation for whole was different combined its individual parts, with evidence an integrative code anterior temporal lobe structures. Intriguingly, perirhinal cortex structure default biased towards shape, but this initial bias attenuated learning. Pattern similarity analyses suggest that after learning orthogonalized combinations transforming overlapping feature distinct representations. These results provide coding lobes distributed advancing age-old question constructs objects component

Language: Английский

---