Academic Journal
Volume changes of the limbic system and their link to age-related memory decline in healthy adults.
| Τίτλος: | Volume changes of the limbic system and their link to age-related memory decline in healthy adults. |
|---|---|
| Συγγραφείς: | Luo H; Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University.; School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China., Jia W; Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University.; School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China., Wu Q; Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University.; School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China., Li Y; Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University.; School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China., Li L; Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University.; School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China., Cui D; Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University.; School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China. |
| Πηγή: | Neuroreport [Neuroreport] 2026 Oct 07; Vol. 37 (14), pp. 560-569. Date of Electronic Publication: 2026 Aug 11. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Lippincott Williams & Wilkins Country of Publication: England NLM ID: 9100935 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1473-558X (Electronic) Linking ISSN: 09594965 NLM ISO Abbreviation: Neuroreport Subsets: MEDLINE |
| Imprint Name(s): | Publication: London, England : Lippincott Williams & Wilkins Original Publication: Oxford, UK : Rapid Communications of Oxford Ltd., [1990- |
| Ιατρικοί όροι (MeSH): | Limbic System*/pathology , Limbic System*/diagnostic imaging , Aging*/pathology , Memory Disorders*/pathology , Memory Disorders*/diagnostic imaging, Memory/physiology ; Humans ; Aged ; Adult ; Middle Aged ; Male ; Female ; Aged, 80 and over ; Magnetic Resonance Imaging ; Young Adult ; Neuropsychological Tests ; Organ Size |
| Περίληψη: | Background: Global population aging highlights the need to explore age-related limbic system alterations, which are closely linked to emotion, memory, and cognition. Heterogeneous volume changes of limbic subregions and their memory-related impacts in healthy aging remain poorly understood. Methods: A total of 315 cognitively normal adults aged 20-89 years were divided into four age cohorts. T1-weighted MRI was applied to quantify volumes of core limbic subregions. Memory and general cognition were evaluated via the Mini-Mental State Examination (MMSE) and Hopkins Verbal Learning (HOP), covering immediate recall, delayed recall, and delayed recognition. Associations between regional brain volumes and memory performance were analyzed. Results: Most regions of the limbic system exhibited a trend of volume reduction across all four age groups. The right anterior basal forebrain atrophied starting from young adulthood, while the fornix, left basal forebrain, and bilateral hypothalamus shrank significantly in late middle-aged and older adults, respectively. Uniquely, the volume of the left septal nucleus exhibits an abnormal increase. MMSE scores declined gradually, with accelerated loss after 65 years. Older adults exhibited lower immediate and delayed recall scores, positively correlated with the volumes of the nucleus accumbens, hypothalamus, fornix, and basal forebrain. No correlation existed between left septal nucleus volume and memory. Conclusion: Healthy aging causes heterogeneous limbic structural changes, which are essential for sustaining immediate and delayed memory. This advances understanding of the neural mechanisms underlying normal cognitive aging. (Copyright © 2026 Wolters Kluwer Health, LLC. All rights reserved.) |
| References: | Maclean PD. Some psychiatric implications of physiological studies on frontotemporal portion of limbic system (visceral brain). Electroencephalogr Clin Neurophysiol 1952; 4:407–418. Torrico TJ, Abdijadid S. Neuroanatomy, limbic system. StatPearls; 2026. Roxo MR, Franceschini PR, Zubaran C, Kleber FD, Sander JW. The limbic system conception and its historical evolution. ScientificWorldJournal 2011; 11:2428–2441. Catani M, Dell’acqua F, Thiebaut de Schotten M. A revised limbic system model for memory, emotion and behaviour. Neurosci Biobehav Rev 2013; 37:1724–1737. Kamali A, Milosavljevic S, Gandhi A, Lano KR, Shobeiri P, Sherbaf FG, Hasan KM, et al. The cortico-limbo-thalamo-cortical circuits: an update to the original Papez circuit of the human limbic system. Brain Topogr 2023; 36:371–389. Morgane PJ, Galler JR, Mokler DJ. A review of systems and networks of the limbic forebrain/limbic midbrain. Prog Neurobiol 2005; 75:143–160. Rolls ET. Limbic systems for emotion and for memory, but no single limbic system. Cortex 2015; 62:119–157. Feng Q, Zhang Z, Dai F, Chen Y, Ding Z, Wang L. Volumetric alterations of hippocampal and amygdala subfields in Azheimer’s disease. BMC Med Imaging 2025; 25:378. Krijnen EA, van Dam M, Bajrami A, Bouman PM, Noteboom S, Barkhof F, Schoonheim MM, et al. Cortical lesions impact cognitive decline in multiple sclerosis via volume loss of nonlesional cortex. Ann Clin Transl Neurol 2025; 12:121–136. Mohanty R, Ferreira D, Westman E. Multi-pathological contributions toward atrophy patterns in the Alzheimer’s disease continuum. Front Neurosci 2024; 18:1355695. Stouffer KM, Grande X, Düzel E, Johansson M, Creese B, Witter MP, et al. Amidst an amygdala renaissance in Alzheimer’s disease. Brain 2024; 147:816–829. Liao Z, Losonczy A. Learning, fast and slow: single- and many-shot learning in the hippocampus. Annu Rev Neurosci 2024; 47:187–209. Schaefer A, Gray JR. A role for the human amygdala in higher cognition. Rev Neurosci 2007; 18:355–363. Sele S, Liem F, Merillat S, Jancke L. Decline variability of cortical and subcortical regions in aging: a longitudinal study. Front Hum Neurosci 2020; 14:363. Sele S, Liem F, Merillat S, Jancke L. Age-related decline in the brain: a longitudinal study on inter-individual variability of cortical thickness, area, volume, and cognition. Neuroimage 2021; 240:118370. Goodro M, Sameti M, Patenaude B, Fein G. Age effect on subcortical structures in healthy adults. Psychiatry Res 2012; 203:38–45. Shi Y, Cui D, Sun F, OuYang Z, Dou R, Jiao Q, et al. Exploring sexual dimorphism in basal forebrain volume changes during aging and neurodegenerative diseases. iScience 2024; 27:109041. Xu P, Estrada S, Etteldorf R, Liu D, Shahid M, Zeng W, Aziz NA, et al. Hypothalamic volume is associated with age, sex and cognitive function across lifespan: a comparative analysis of two large population-based cohort studies. EBioMedicine 2025; 111:105513. Birbilis T, Siozopoulos A, Fiska A, Deftereos S, Kaldoudi E, Karagiannis V, Thomaidis V olumetric data of normal nucleus accumbens from magnetic resonance imaging scans. Med Pharm Rep 2021; 94:449–457. Christova P, Georgopoulos AP. Changes of gray matter volumes of subcortical regions across the lifespan: a Human Connectome Project study. J Neurophysiol 2023; 130:1303–1308. Atwood CS, Meethal SV, Liu T, Wilson AC, Gallego M, Smith MA, Bowen RL. Dysregulation of the hypothalamic-pituitary-gonadal axis with menopause and andropause promotes neurodegenerative senescence. J Neuropathol Exp Neurol 2005; 64:93–103. Jancke L, Merillat S, Liem F, Hanggi J. Brain size, sex, and the aging brain. Hum Brain Mapp 2015; 36:150–169. Dima D, Modabbernia A, Papachristou E, Doucet GE, Agartz I, Aghajani M, et al.; Karolinska Schizophrenia Project (KaSP). Subcortical volumes across the lifespan: data from 18,605 healthy individuals aged 3–90 years. Hum Brain Mapp 2022; 43:452–469. Ikemoto S. Dopamine reward circuitry: two projection systems from the ventral midbrain to the nucleus accumbens-olfactory tubercle complex. Brain Res Rev 2007; 56:27–78. Murty VP, Shah H, Montez D, Foran W, Calabro F, Luna B. Age-related trajectories of functional coupling between the VTA and nucleus accumbens depend on motivational state. J Neurosci 2018; 38:7420–7427. Dragoi G, Carpi D, Recce M, Csicsvari J, Buzsaki G. Interactions between hippocampus and medial septum during sharp waves and theta oscillation in the behaving rat. J Neurosci 1999; 19:6191–6199. Swanson LW. The anatomical organization of septo-hippocampal projections. Ciba Found Symp 1977; 58:25–48. Butler T, Zaborszky L, Wang X, McDonald CR, Blackmon K, Quinn BT, et al. Septal nuclei enlargement in human temporal lobe epilepsy without mesial temporal sclerosis. Neurology 2013; 80:487–491. Chen J, Wang Y, Chen C, Zhang Q, Wang S, Wang Y, Fang J, Wang Y. Activation of medial septum cholinergic neurons restores cognitive function in temporal lobe epilepsy. Neural Regen Res 2023; 18:2459–2465. Butler T, Harvey P, Deshpande A, Tanzi E, Li Y, Tsui W, de Leon MJ, et al. Basal forebrain septal nuclei are enlarged in healthy subjects prior to the development of Alzheimer’s disease. Neurobiol Aging 2018; 65:201–205. Fjell AM, Westlye LT, Grydeland H, Amlien I, Espeseth T, Reinvang I, et al.; Alzheimer Disease Neuroimaging Initiative. Critical ages in the life course of the adult brain: nonlinear subcortical aging. Neurobiol Aging 2013; 34:2239–2247. Barnes J, Bartlett JW, van de Pol LA, Loy CT, Scahill RI, Frost C, Thompson P, Fox NC A meta-analysis of hippocampal atrophy rates in Alzheimer’s disease. Neurobiol Aging 2009; 30:1711–1723. Setlow B. The nucleus accumbens and learning and memory. J Neurosci Res 1997; 49:515–521. Rinaldi A, Oliverio A, Mele A. Spatial memory, plasticity and nucleus accumbens. Rev Neurosci 2012; 23:527–541. Bayassi-Jakowicka M, Lietzau G, Czuba E, Patrone C, Kowianski P. More than addiction-the nucleus accumbens contribution to development of mental disorders and neurodegenerative diseases. Int J Mol Sci 2022; 23:2618. Chaddock L, Erickson KI, Prakash RS, Kim JS, Voss MW, Vanpatter M, et al. A neuroimaging investigation of the association between aerobic fitness, hippocampal volume, and memory performance in preadolescent children. Brain Res 2010; 1358:172–183. Aggleton JP, Vann SD, O’Mara SM. Converging diencephalic and hippocampal supports for episodic memory. Neuropsychologia 2023; 191:108728. Tsivilis D, Vann SD, Denby C, Roberts N, Mayes AR, Montaldi D, Aggleton JP. A disproportionate role for the fornix and mammillary bodies in recall versus recognition memory. Nat Neurosci 2008; 11:834–842. Teipel SJ, Bruno D, Grothe MJ, Nierenberg J, Pomara N. Hippocampus and basal forebrain volumes modulate effects of anticholinergic treatment on delayed recall in healthy older adults. Alzheimers Dement (Amst) 2015; 1:216–219. Crowley SJ, Kanel P, Roytman S, Bohnen NI, Hampstead BM. Basal forebrain integrity, cholinergic innervation and cognition in idiopathic Parkinson’s disease. Brain 2024; 147:1799–1808. Wagner AD, Poldrack RA, Eldridge LL, Desmond JE, Glover GH, Gabrieli JD. Material-specific lateralization of prefrontal activation during episodic encoding and retrieval. Neuroreport 1998; 9:3711–3717. Kelley WM, Miezin FM, McDermott KB, et al. Hemispheric specialization in human dorsal frontal cortex and medial temporal lobe for verbal and nonverbal memory encoding. Neuron 1998; 20:927–936. Golby AJ, Poldrack RA, Brewer JB, et al. Material-specific lateralization in the medial temporal lobe and prefrontal cortex during memory encoding. Brain 2001; 124(Pt 9):1841–1854. Ankudowich E, Pasvanis S, Rajah MN. Changes in the modulation of brain activity during context encoding vs. context retrieval across the adult lifespan. Neuroimage 2016; 139:103–113. Nyberg L. Functional brain imaging of episodic memory decline in ageing. J Intern Med 2017; 281:65–74. Muller C, Remy S. Septo-hippocampal interaction. Cell Tissue Res 2018; 373:565–575. Li R, Wang X-W, Zhang H, Tian C, Xia K, Zhang H, et al. Medial septum-dependent encoding of contextual inputs by hippocampal splitter cells. Cell Rep 2025; 44:116338. |
| Contributed Indexing: | Keywords: brain volume; limbic system; memory function; normal aging; structural MRI |
| Entry Date(s): | Date Created: 20260814 Date Completed: 20260828 Latest Revision: 20260910 |
| Update Code: | 20260910 |
| DOI: | 10.1097/WNR.0000000000002297 |
| PMID: | 42596911 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1473-558X |
|---|---|
| DOI: | 10.1097/WNR.0000000000002297 |