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The genetic architecture of language functional connectivity
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In: ISSN: 1053-8119 ; EISSN: 1095-9572 ; NeuroImage ; https://hal.sorbonne-universite.fr/hal-03566120 ; NeuroImage, Elsevier, 2022, 249, pp.118795. ⟨10.1016/j.neuroimage.2021.118795⟩ (2022)
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The genetic architecture of the human language connectome ; L'architecture génétique du connectome du langage dans le cerveau humain
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In: https://tel.archives-ouvertes.fr/tel-03649334 ; Neuroscience. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPAST019⟩ (2022)
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Functional Brain Networks and Verbal Fluency in Healthy Ageing ...
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Resting-State Functional Connectivity following Phonological Component Analysis: The Combined Action of Phonology and Visual Orthographic Cues
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In: ISSN: 2076-3425 ; Brain Sciences ; https://hal.uca.fr/hal-03474243 ; Brain Sciences, MDPI, 2021, 11, pp.1458. ⟨10.3390/brainsci11111458⟩ (2021)
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Overt speech critically changes lateralization index and did not allow determination of hemispheric dominance for language: an fMRI study
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In: ISSN: 1471-2202 ; EISSN: 1471-2202 ; BMC Neuroscience ; https://www.hal.inserm.fr/inserm-03474160 ; BMC Neuroscience, BioMed Central, 2021, 22 (1), pp.74. ⟨10.1186/s12868-021-00671-y⟩ (2021)
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Abstract:
International audience ; Background: Pre-surgical mapping of language using functional MRI aimed principally to determine the dominant hemisphere. This mapping is currently performed using covert linguistic task in way to avoid motion artefacts potentially biasing the results. However, overt task is closer to natural speaking, allows a control on the performance of the task, and may be easier to perform for stressed patients and children. However, overt task, by activating phonological areas on both hemispheres and areas involved in pitch prosody control in the non-dominant hemisphere, is expected to modify the determination of the dominant hemisphere by the calculation of the lateralization index (LI). Objective: Here, we analyzed the modifications in the LI and the interactions between cognitive networks during covert and overt speech task. Methods: Thirty-three volunteers participated in this study, all but four were right-handed. They performed three functional sessions consisting of (1) covert and (2) overt generation of a short sentence semantically linked with an audibly presented word, from which we estimated the "Covert" and "Overt" contrasts, and a (3) resting-state session. The resting-state session was submitted to spatial independent component analysis to identify language network at rest (LANG), cingulo-opercular network (CO), and ventral attention network (VAN). The LI was calculated using the bootstrapping method. Results: The LI of the LANG was the most left-lateralized (0.66 ± 0.38). The LI shifted from a moderate leftward lateralization for the Covert contrast (0.32 ± 0.38) to a right lateralization for the Overt contrast (− 0.13 ± 0.30). The LI significantly differed from each other. This rightward shift was due to the recruitment of right hemispheric temporal areas together with the nodes of the CO. Conclusion: Analyzing the overt speech by fMRI allowed improvement in the physiological knowledge regarding the coordinated activity of the intrinsic connectivity networks. However, the rightward shift of the LI in this condition did not provide the basic information on the hemispheric language dominance. Overt linguistic task cannot be recommended for clinical purpose when determining hemispheric dominance for language.
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Keyword:
[SDV]Life Sciences [q-bio]; Cingulo-opercular network; fMRI; Functional laterality; Language network; Overt; Resting-state; Ventral attention network
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URL: https://www.hal.inserm.fr/inserm-03474160/file/s12868-021-00671-y.pdf
https://doi.org/10.1186/s12868-021-00671-y
https://www.hal.inserm.fr/inserm-03474160/document
https://www.hal.inserm.fr/inserm-03474160
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Associated functional network development and language abilities in children ...
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Spectral Resting-State EEG (rsEEG) in Chronic Aphasia Is Reliable, Sensitive, and Correlates With Functional Behavior
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In: Speech Pathology and Audiology Faculty Research and Publications (2021)
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Application of Machine Learning to Electroencephalography for the Diagnosis of Primary Progressive Aphasia: A Pilot Study
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In: Brain Sciences ; Volume 11 ; Issue 10 (2021)
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Resting-State Functional Connectivity Following Phonological Component Analysis: The Combined Action of Phonology and Visual Orthographic Cues
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In: Brain Sciences ; Volume 11 ; Issue 11 (2021)
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Weaker Connectivity of the Cortical Networks Is Linked with the Uncharacteristic Gait in Youth with Cerebral Palsy
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In: Brain Sciences ; Volume 11 ; Issue 8 (2021)
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Preoperative Assessment of Language Dominance through Combined Resting-State and Task-Based Functional Magnetic Resonance Imaging
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In: Journal of Personalized Medicine; Volume 11; Issue 12; Pages: 1342 (2021)
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Preoperative Assessment of Language Dominance through Combined Resting-State and Task-Based Functional Magnetic Resonance Imaging ...
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Cognitive control and language network connectivity associated with language production in aphasia
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In: Master's Theses and Capstones (2021)
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Bilingualism's Effects on Resting-State Functional Connectivity in Mild Cognitive Impairment
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Resting-state connectivity reveals a role for sensorimotor systems in vocal emotional processing in children
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Neuroimaging the consciousness of self: Review, and conceptual-methodological framework
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Neuroimaging the consciousness of self: Review, and conceptual-methodological framework
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Examining Brain Connectivity and Reading Ability in Children
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In: Electronic Thesis and Dissertation Repository (2020)
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Neuroimaging the consciousness of self: Review, and conceptual-methodological framework
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In: Brain and Mind Institute Researchers' Publications (2020)
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Divergent patterns of loss of interpersonal warmth in frontotemporal dementia syndromes are predicted by altered intrinsic network connectivity.
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In: Toller, Gianina; Yang, Winson FZ; Brown, Jesse A; Ranasinghe, Kamalini G; Shdo, Suzanne M; Kramer, Joel H; et al.(2019). Divergent patterns of loss of interpersonal warmth in frontotemporal dementia syndromes are predicted by altered intrinsic network connectivity. NeuroImage. Clinical, 22, 101729. doi:10.1016/j.nicl.2019.101729. UCSF: Retrieved from: http://www.escholarship.org/uc/item/9qm527cr (2019)
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