LEADER 02096nam0 2200421 i 450 001 VAN00124296 005 20240806100816.44 017 70$2O$a9783319689036 100 $a20191014d2017 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aCovariant Schrödinger Semigroups on Riemannian Manifolds$fBatu Güneysu 210 $aCham$cBirkhäuser$d2017 215 $axviii, 239 p.$d24 cm 410 1$1001VAN00036604$12001 $aOperator theory: advances and applications$1210 $aBasel [etc.]$cBirkhäuser$d1979-$v264 500 1$3VAN00235540$aCovariant Schrödinger Semigroups on Riemannian Manifolds$91563069 606 $a31C12$xPotential theory on Riemannian manifolds and other spaces [MSC 2020]$3VANC023136$2MF 606 $a35Pxx$xSpectral theory and eigenvalue problems for partial differential equations [MSC 2020]$3VANC022123$2MF 606 $a58J35$xHeat and other parabolic equation methods for PDEs on manifolds [MSC 2020]$3VANC024178$2MF 606 $a58J65$xDiffusion processes and stochastic analysis on manifolds [MSC 2020]$3VANC021551$2MF 610 $aBrownian motion on manifolds$9KW:K 610 $aCovariant Schrödinger semigroup$9KW:K 610 $aHeat semigroup$9KW:K 610 $aPartial Differential Equations$9KW:K 610 $aSchrödinger Operators$9KW:K 610 $aSpectral Theory$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aGüneysu$bBatu$3VANV095737$0767633 712 $aBirkhäuser $3VANV108193$4650 801 $aIT$bSOL$c20250411$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-319-68903-6$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00124296 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 0612 $e08eMF612 20191014 996 $aCovariant Schrödinger Semigroups on Riemannian Manifolds$91563069 997 $aUNICAMPANIA LEADER 02651nam 2200373z- 450 001 9910346749303321 005 20210211 035 $a(CKB)4920000000094221 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/53942 035 $a(oapen)doab53942 035 $a(EXLCZ)994920000000094221 100 $a20202102d2018 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMood and Cognition in Old Age 210 $cFrontiers Media SA$d2018 215 $a1 online resource (165 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88945-642-0 330 $aImproving psychological well-being and cognitive health is now listed as the priority on the healthy aging agenda. Depression and cognitive impairment are great challenges for the elderly population. There have been numerous studies on depression and cognitive impairment and dementia. However, the neural correlates of depression and cognitive impairment have not yet been elucidated. With the development of neuroscience and relevant technologies, studies on anatomical and functional neural networks, neurobiological mechanisms of mood and cognition in old age will provide more insight into the potential diagnosis, prevention and intervention in depression and cognitive impairment. For example, longitudinal neuroimaging studies depicting the trajectories of patterns of structural and functional brain networks of mild cognitive impairment may provide potential imaging markers for the onset of dementia. Population-based studies have addressed the potential interaction between mood and cognitive impairment in old age. However, there are few studies to explore the potential neural mechanism of the relationship between depression and cognitive impairment in old age. 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