LEADER 00832nam0-22003011i-450- 001 990003857740403321 005 20080115105709.0 035 $a000385774 035 $aFED01000385774 035 $a(Aleph)000385774FED01 035 $a000385774 100 $a20030910d1954----km-y0itay50------ba 101 0 $afre 102 $aIT 200 1 $aEconomie de l'agriculture française$fJean Fauchon. 210 $aParis$cGénin$cLibrairie de Médicis$d[stampa 1954]. 215 $a223 p.$cill.$d19 cm 610 0 $aAgricoltura$aFrancia 676 $aF/1.421 676 $aH/1.21 700 1$aFauchon,$bJean$0382457 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003857740403321 952 $aH/1.21 FAU$b09707$fSES 959 $aSES 996 $aEconomie de l'agriculture française$9515068 997 $aUNINA LEADER 04388nam 2200409z- 450 001 9910346751003321 005 20210211 035 $a(CKB)4920000000094204 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/42416 035 $a(oapen)doab42416 035 $a(EXLCZ)994920000000094204 100 $a20202102d2018 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBrain Networks in Aging: Reorganization and Modulation by Interventions 210 $cFrontiers Media SA$d2018 215 $a1 online resource (170 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88945-416-9 330 $aOld adults undertake multiple reduced cognitive abilities in aging, which are accompanied with specific brain reorganization in forms of regional brain activity and brain tissues, inter-region connectivity, and topology of whole brain networks in both function and structure. The plasticity changes of brain activities in old adults are explained by the mechanisms of compensation and dedifferentiation. For example, older adults have been observed to have greater, usually bilateral, prefrontal activities during memory tasks compared to the typical unilateral prefrontal activities in younger adults, which was explained as a compensation for the reduced brain activities in visual processing cortices. Dedifferentiation is another mechanism to explain that old adults are with much less selective and less distinct activity in task-relevant brain regions compared with younger adults. A larger number of studies have examined the plasticity changes of brain from the perspective of regional brain activities. However, studies on only regional brain activities cannot fully elucidate the neural mechanisms of reduced cognitive abilities in aging, as multiple regions are integrated together to achieve advanced cognitive function in human brain. In recent years, brain connectivity/network, which targets how brain regions are integrated, have drawn increasing attention in neuroscience with the development of neuroimaging techniques and graph theoretical analysis. Connectivity quantifies functional association or neural fibers between two regions that may be spatially far separated, and graph theoretical analysis of brain network examines the complex interactions among multiple regions from the perspective of topology. Studies showed that compared to younger adults, older adults had altered strength of task-relevant functional connectivity between specific brain regions in cognitive tasks, and the alternation of connectivity are correlated to behavior performance. For example, older adults had weaker functional connectivity between the premotor cortex and a region in the left dorsolateral prefrontal cortex in a working memory task. Interventions like cognitive training and neuro-modulation (e.g., transcranial magnetic stimulation) have been shown to be promising in regaining or retaining the decreasing cognitive abilities in aging. However, only few neuroimaging studies have examined the influence of interventions to old adult's brain activity, connectivity, and cognitive performance. This Research Topic calls for contributions on brain network of subjects in normal aging or with age-related diseases like mild cognitive impairment and Alzheimer's disease. The studies are expected to be based on neuroimaging techniques including but not limited to functional magnetic resonance imaging, Electroencephalography, and diffusion tensor imaging, and contributions on the influence of interventions to brain networks in aging are highly encouraged. All these studies would enrich our understanding of neural mechanisms underlying aging, and offer new insights for developing possible interventions to retain cognitive abilities in aging subjects. 517 $aBrain Networks in Aging 606 $aNeurosciences$2bicssc 610 $aAging 610 $aBrain Network 610 $aCognitive Function 610 $aReorganization 610 $aTraining 615 7$aNeurosciences 700 $aJunfeng Sun$4auth$01318744 702 $aChunbo Li$4auth 906 $aBOOK 912 $a9910346751003321 996 $aBrain Networks in Aging: Reorganization and Modulation by Interventions$93033510 997 $aUNINA