Modifications de la connectivité cérébrale au sein du réseau attentionnel ventral lors du vieillissement normal

Attention is necessary for most of daily life’s tasks. During aging, these cognitive abilities are changed. Studies suggest that the neurofunctional activity of the frontoparietal network, which upholds the attentional capacities, differ between young and older adults. However, age-related changes of the ventral frontoparietal network, also called the ventral attention network, have been less investigated. Such question has to be raised in context of recent models of neurofunctional changes in aging, who report possible functional transformation that could occur both at the intrahemispheric and interhemispheric levels. The goal of the present thesis is to determine how aging affects the ventral attention network and describe the nature of such changes that can occur on the intrahemispheric and interhemispheric axis. To do so, functional connectivity methods were favoured because of their capacity to measure the neurofunctional interaction between the regions of a network.  The first study of the present thesis has allowed describing the age-related intrahemispheric modifications of functional connectivity in this network by comparing young and older adults while they respond on a selective attention task during a functional magnetic resonance imagery scan. On the task, aged adults performed significantly slower and made more errors than the young adults. At the functional connectivity level, the results show higher level of the functional connectivity between all frontoparietal regions of this network for the older group. Further, the integration level of functional connectivity in anterior regions of the network seems to be less integrated for the older participants, while posterior regions have more neurofunctional signal dependency. Also, the level of integration of functional connectivity is higher in older adults between anterior and posterior regions. Thus, results from this study suggest that the anterior and posterior regions of the ventral attention network interact differently during aging and that the posterior regions play a more important role with age in this network. This hyperconnectivity in the parietal regions could represent an unsuccessful intrahemispheric compensation attempt (i.e. recruitment of additional regions in posterior part of the brain) since older adults perform significantly less well than younger adults.  The second study has investigated interhemispheric alterations of functional connectivity in the same functional network by comparing young and older adults. Like in the first study, younger adults were faster to respond on task and were more accurate. Regarding the neurofunctional lateralization of the network, the degree of functional connectivity is lower in older adults for the left hemisphere’s frontoparietal and temporal regions. However, older adults have a higher degree of functional connectivity in the right frontal, parietal, temporal and subcortical regions of the same network. Also, the results also show that the interhemispheric integration level is superior for the older adults. Thus, this study suggests that the level of functional connectivity with the right hemisphere’s regions of the ventral attention network increases with age, which could suggest an age-related lateralization of this network towards the right hemisphere. In this context, increased interhemispheric functional connectivity could be interpreted as a failed interhemispheric compensation attempt (i.e. recruitment of homologous regions) since the performance of older adults on task was significantly lower than younger adults. In short, this work has allowed contributing to our understanding of the impact of aging on the ventral attention network both on the intrahemispheric and interhemispheric axis. These various results bring up new hypothesis that needs to be investigated in further studies and eventually that could lead to the establishment of intervention that promote an optimal healthy cognitive aging.

Keyphrases: Aging, functional connectivity, ventral attention network, functional magnetic resonance imaging, selective attention