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Gaudreault, P.-O.

Publications and source records attributed to Gaudreault, P.-O..

3 recordsLinked to original sources

The length of the thalamo-cortical white matter fibers brings insight into sex differences in sleep spindle frequency

Sleep spindles (SS) are crucial to brain functions like memory and learning. SS characteristics result from the propagation of nerve impulses along white matter (WM) projections underlying an intricate loop between the thalamus and the cortex. SS amplitude and density have been associated with WM diffusion microarchitecture but physiological mechanisms underlying individual and sex-related variations in SS frequency are unknown. Here, we tested a model of traveling signals along the thalamo-cortico-thalamic projections to explain individual differences in spindle frequency. We predicted the presence of a relationship between the length of the thalamo-cortical WM bundles and a specific characteristic of this functional network, SS frequency. Thirty young participants underwent a polysomnographic recording and a 3T MRI including a diffusion sequence. The length of WM fiber bundles between the thalamus and the frontal cortex was derived from probabilistic tractography computed through constrained spherical deconvolution. Longer WM fiber bundles between the thalamus and specific regions of the frontal cortex (rostral middle frontal gyrus and anterior and middle part of the superior frontal gyrus) were associated with slower SS frequency. Moreover, the length of these WM fiber bundles statistically mediated the sex-related differences in SS frequency. By providing a neuroanatomical marker of individual and sex-related differences in SS frequency, this study is the first to highlight the association between the anatomy of a specific brain network and a specific functional characteristic of this network, the frequency of oscillations produced during sleep.

neuroscience↗

Microstructural Impairments in a Topologically Distinct Prefrontal-Habenular Connection in Cocaine Addiction

Drug addiction is characterized by neuroadaptations in mesocorticolimbic networks regulating reward and inhibitory control. The habenula (Hb) is central to adaptive reward and aversion-driven behaviors, serving as a hub connecting emotion/cognitive processing regions including the prefrontal cortex (PFC). However, its role in human drug addiction has not been fully explored. Using diffusion tractography, we detailed PFC structural connectivity with three regions, namely the Hb, ventral tegmental area (VTA), and anterior thalamus (AT), and quantified the tract-specific microstructural integrity using diffusion tensor imaging within the anterior limb of the internal capsule (ALIC) in healthy and cocaine-addicted individuals. White matter microstructure in cocaine-addicted individuals was uniquely impaired in PFC-Hb projections in the ALIC, distinguishable from adjacent PFC-VTA and PFC-AT projections, with more pronounced abnormalities in short-term abstinence. These findings extend preclinical evidence of PFC-Hb circuit impairments in addiction and contextualize the plausible existence of a similar PFC-Hb connection in the human brain.

neuroscience↗

Sleeping at the Switch

Sleep slow waves are studied for their role in brain plasticity, homeostatic regulation and their changes during aging. Here, we address the possibility that two types of slow waves co-exist in humans. Thirty young and 29 older adults underwent a night of polysomnographic recordings. Using the Transition frequency, slow waves with a slow transition (slow switchers) and with a fast transition (fast switchers) were discovered. Slow switchers had a high EEG connectivity along their depolarization transition while fast switchers had a lower connectivity dynamic and dissipated faster during the night. Aging was associated with lower temporal dissipation of sleep pressure in slow and fast switchers and lower EEG connectivity at the microscale of the oscillations, suggesting a decreased flexibility in the connectivity network of older individuals. Our findings show that two different types of slow waves with possible distinct underlying functions, coexist in the slow wave spectrum.

neuroscience↗