Multi‐level prediction of substance use: Interaction of white matter integrity, resting‐state connectivity and inhibitory control measured repeatedly in every‐day life DOI Creative Commons
Valentine Chirokoff, Kilian M. Pohl, Sylvie Berthoz

et al.

Addiction Biology, Journal Year: 2024, Volume and Issue: 29(5)

Published: May 1, 2024

Abstract Substance use disorders are characterized by inhibition deficits related to disrupted connectivity in white matter pathways, leading via interaction difficulties resisting substance use. By combining neuroimaging with smartphone‐based ecological momentary assessment (EMA), we questioned how biomarkers moderate predict Thus, aimed assess integrity everyday and resting‐state network identify multi‐dimensional predictors of Thirty‐eight patients treated for alcohol, cannabis or tobacco disorder completed 1 week EMA report five times complete Stroop testing twice daily. Before tracking, participants underwent resting state functional MRI diffusion tensor imaging (DTI) scanning. Regression analyses were conducted between mean performances whole‐brain fractional anisotropy (FA) matter. Moderation was FA within significant clusters as moderator the link performance outcome. Predictions strength known inhibition‐related networks assessed using mixed modelling. Higher values anterior corpus callosum bilateral corona radiata predicted higher during stronger occipital–frontal–cerebellar regions. Integrity these regions moderated inhibitory control use, whereby predictive lowest probability highest values. In conclusion, compromised structural brain systems appears underlie impairment ability refrain from

Language: Английский

Sex-dependent impact of parental verbal abuse on brain lateralization of language DOI Creative Commons

Xingzhen Wang,

Jiaojian Wang, Zhenglong Lin

et al.

Neurobiology of Stress, Journal Year: 2025, Volume and Issue: unknown, P. 100730 - 100730

Published: May 1, 2025

Language: Английский

Citations

0

Longitudinal prediction of motor dysfunction after stroke: a disconnectome study DOI Creative Commons
Lilit Dulyan, Lia Talozzi, Valentina Pacella

et al.

Brain Structure and Function, Journal Year: 2022, Volume and Issue: 227(9), P. 3085 - 3098

Published: Nov. 5, 2022

Abstract Motricity is the most commonly affected ability after a stroke. While many clinical studies attempt to predict motor symptoms at different chronic time points stroke, longitudinal acute-to-chronic remain scarce. Taking advantage of recent advances in mapping brain disconnections, we outcomes 62 patients assessed longitudinally two weeks, three months, and one year their Results indicate that disconnection patterns accurately impairments. However, leading impairment differ between three-time left right These results were cross-validated using resampling techniques. In sum, demonstrated while some neuroplasticity mechanisms exist changing structure–function relationship, prevail when predicting

Language: Английский

Citations

18

Unraveling the functional attributes of the language connectome: crucial subnetworks, flexibility and variability DOI Creative Commons
Élise Roger, Lílian Rodrigues de Almeida, Hélène Lœvenbruck

et al.

NeuroImage, Journal Year: 2022, Volume and Issue: 263, P. 119672 - 119672

Published: Oct. 6, 2022

Language processing is a highly integrative function, intertwining linguistic operations (processing the language code intentionally used for communication) and extra-linguistic processes (e.g., attention monitoring, predictive inference, long-term memory). This synergetic cognitive architecture requires distributed specialized neural substrate. Brain systems have mainly been examined at rest. However, task-related functional connectivity provides additional valuable information about how processed when various states are involved. We gathered thirteen fMRI tasks in unique database of one hundred fifty neurotypical adults (InLang [Interactive networks Language] database), providing opportunity to assess features across wide range processes. Using this database, we applied network theory as computational tool model connectome (LANG atlas). The organization data-driven neurocognitive atlas was multiple levels, uncovering its major components (or crucial subnetworks), anatomical correlates. In addition, estimated reconfiguration function demand (flexibility) or several factors such age gender (variability). observed that discrete could be specifically shaped promote key language: coding-decoding (Net1), control-executive (Net2), abstract-knowledge (Net3), sensorimotor (Net4) functions. these pivotal brain regions varied according nature process, gender, age. By accounting multifaceted modulating factors, study can contribute enriching refining existing models language. LANG also considered reference comparative clinical studies involving patients conditions.

Language: Английский

Citations

17

Lateralization of dorsal fiber tract targeting Broca’s area concurs with language skills during development DOI Creative Commons
Cornelius Eichner, Philipp Berger, Cheslie C. Klein

et al.

Progress in Neurobiology, Journal Year: 2024, Volume and Issue: 236, P. 102602 - 102602

Published: April 4, 2024

Language is bounded to the left hemisphere in adult brain and functional lateralization can already be observed early during development. Here we investigate whether this paralleled by a of white matter structural language network. We analyze strength microstructural properties language-related fiber tracts connecting temporal frontal cortices with separation two dorsal tracts, one targeting posterior Broca's area (BA44) precentral gyrus (BA6). In large sample young children (3-6 years), demonstrate that, contrast BA6-targeting tract, asymmetry BA44-targeting tract significantly correlates locally different aspects While its anterior segment reflects age, associated children's skills. These findings fine-grained structure-to-function mapping lateralized network go beyond our current view human maturation.

Language: Английский

Citations

3

Multi‐level prediction of substance use: Interaction of white matter integrity, resting‐state connectivity and inhibitory control measured repeatedly in every‐day life DOI Creative Commons
Valentine Chirokoff, Kilian M. Pohl, Sylvie Berthoz

et al.

Addiction Biology, Journal Year: 2024, Volume and Issue: 29(5)

Published: May 1, 2024

Abstract Substance use disorders are characterized by inhibition deficits related to disrupted connectivity in white matter pathways, leading via interaction difficulties resisting substance use. By combining neuroimaging with smartphone‐based ecological momentary assessment (EMA), we questioned how biomarkers moderate predict Thus, aimed assess integrity everyday and resting‐state network identify multi‐dimensional predictors of Thirty‐eight patients treated for alcohol, cannabis or tobacco disorder completed 1 week EMA report five times complete Stroop testing twice daily. Before tracking, participants underwent resting state functional MRI diffusion tensor imaging (DTI) scanning. Regression analyses were conducted between mean performances whole‐brain fractional anisotropy (FA) matter. Moderation was FA within significant clusters as moderator the link performance outcome. Predictions strength known inhibition‐related networks assessed using mixed modelling. Higher values anterior corpus callosum bilateral corona radiata predicted higher during stronger occipital–frontal–cerebellar regions. Integrity these regions moderated inhibitory control use, whereby predictive lowest probability highest values. In conclusion, compromised structural brain systems appears underlie impairment ability refrain from

Language: Английский

Citations

3