Serhiy Dekhtyar's team
Together with my team, we do research into reserve and resilience pathways in cognitive and physical aging. We are also interested in depression in old age, its epidemiology, time trends, and interplay with clinical and social factors.
Reserve and resilience in cognitive and brain aging
Aging is associated with structural shrinkage, molecular alterations and functional disruptions affecting most parts of the brain. In turn, these brain changes have been linked with decline in several cognitive domains, including working memory, episodic memory, processing speed, and executive function. However, inter-individual variability in cognitive performance is often too vast to be accounted for by the brain pathology markers alone. Instead, the processes of neural decline which include brain atrophy, synaptic loss, and white matter degradation are widely believed to be counteracted by the processes of neural enhancement that involve preservation, repair, or replenishment of neural resources.
The model of cognitive reserve (CR) is one of the most well-known theories of compensatory mechanisms restricting the impact of brain damage on cognitive outcomes. CR is assumed to manifest through two mechanistic functions: neural reserve, the efficiency or capacity of pre-existing functional brain networks; and neural compensation: the ability to enlist compensatory strategies to withstand interruption in the face of damage. Despite much previous research on CR, considerable questions about its role in cognitive aging remain unanswered. These can be summarized across three key areas:  reserve operationalization approaches;  selection of brain pathology markers supposedly modified by reserve; and  consideration of changes in reserve during aging. The work conducted by our group aims to provide answers to some of these questions.
Extending the model of reserve to physical resilience
Physical resilience describes an individual’s ability to withstand decline or recover function in the face of age-related losses or diseases. It is believed to be shaped by the individuals’ intrinsic biological resources, but also by the social and psychosocial environments they inhabit. It is thought to manifest through two complementary processes: resistance (outright avoidance of negative perturbations) and recovery (restoration of homeostasis following a disturbance). And since resilience has been defined as a whole-person level characteristic that cuts across organ systems, enhancing it may have the potential to improve multiple outcomes facing a variety of stressors.
While its theoretical premise is largely well described and its promise well recognized, considerable questions remain about  how resilience is formed,  how it should be measured, and  what its consequences are for older adults’ long-term outcomes, including disability trajectories, healthcare utilization, and mortality. In this project we aim to provide answers to these pressing questions.
Depression in old age
Depression in late life demands urgent attention, due to its severe consequences for the individuals, their families, and the healthcare systems. It is a multifactorial disorder that likely occurs as a result of an interplay between social and biological factors unfolding throughout the entire life-course. In our group with provide key insight into how old-age depression can be prevented, how its ill-health consequences can be mitigated, and how healthcare for people with this debilitating condition can be optimized. We do so by exploring life course determinants of old-age depression, with a particular focus on somatic disease burden, but also psychosocial and lifestyle characteristics. We assess these associations longitudinally, across time, and with special emphasis on important moderating effects from modifiable factors.
Furthermore, we are particularly interested at understanding the longitudinal course of depression, with a particular emphasis on transitions involving not just clinical diagnoses, but also specific symptom profiles, and subsyndromal entities. Here, we seek to understand not just the determinants of specific transition patterns across the depressive symptom continuum, but also to evaluate their consequences in terms of clinical and functional outcomes. An important part of this project involves the understanding of healthcare utilization in people with old-age depression, with a focuson complex and avoidable transitions across care settings. Specifically, we intend to answer if healthcare use in older adults with depression is characterized by a higher rate of unplanned episodes and more complex transitions across care settings as well as identify which individual and structural factors (e.g., presence of comorbid diseases, availability of informal care) precipitate inadequate care use in older adults with depression.
All research described above is supported by funds from the Swedish Research Council for Health, Working Life and Welfare (FORTE), and Stiftelsen 1759.
Key references of the team
Ageing without dementia: can stimulating psychosocial and lifestyle experiences make a difference?
Fratiglioni L, Marseglia A, Dekhtyar S
Lancet Neurol 2020 Jun;19(6):533-543
The complex interplay between depression and multimorbidity in late life: risks and pathways.
Triolo F, Harber-Aschan L, Belvederi Murri M, Calderón-Larrañaga A, Vetrano DL, Sjöberg L, Marengoni A, Dekhtyar S
Mech Ageing Dev 2020 Dec;192():111383
Genetic risk of dementia mitigated by cognitive reserve: A cohort study.
Dekhtyar S, Marseglia A, Xu W, Darin-Mattsson A, Wang HX, Fratiglioni L
Ann Neurol 2019 Jul;86(1):68-78
Bridging late-life depression and chronic somatic diseases: a network analysis.
Triolo F, Belvederi Murri M, Calderón-Larrañaga A, Vetrano DL, Sjöberg L, Fratiglioni L, Dekhtyar S
Transl Psychiatry 2021 Oct;11(1):557
Social Health and Cognitive Change in Old Age: Role of Brain Reserve.
Marseglia A, Kalpouzos G, Laukka EJ, Maddock J, Patalay P, Wang HX, Bäckman L, Westman E, Welmer AK, Dekhtyar S,
Ann Neurol 2023 Apr;93(4):844-855
Socioeconomic differences in older adults' unplanned hospital admissions: the role of health status and social network.
Harber-Aschan L, Darin-Mattsson A, Fratiglioni L, Calderón-Larrañaga A, Dekhtyar S
Age Ageing 2023 Apr;52(4):
- Serhiy Dekhtyar: "The effects of early-life conditions on later life health and socioeconomic outcomes: a family-based study". Lund University, 2013
- Federico Triolo: "Depression and chronic diseases in old age: understanding their interplay for better health". Karolinska Institutet, 2023