Tag: long Covid

Microstructural alterations in brain tissue of ME/CFS and long COVID using diffusion tensor imaging and diffusion kurtosis imaging

Abstract:

Introduction: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and long COVID have overlapping symptoms, such as profound fatigue, cognitive impairment, post-exertional malaise, pain and sleep disturbances that are debilitating and reduce quality of life. While Magnetic Resonance Imaging (MRI) techniques, specifically Diffusion Tensor Imaging (DTI) and Diffusion Kurtosis Imaging (DKI), have been used to investigate brain tissue microstructure in ME/CFS or long COVID, no study has yet combined these modalities to directly compare tissue microstructural differences between people living with ME/CFS and long COVID.

Methods: We recruited 37 ME/CFS participants (Age: 43.56 ± 12.5), 19 long COVID participants (Age: 47.92 ± 13.3), and 27 healthy controls (Age: 37.9 ± 10.4). Data were acquired using a 3 Tesla (3T) Prisma MRI scanner. DTI and DKI metrics were determined using MRtrix v3.0.7 and Designer V2.0 software, respectively. Voxel-based statistical analysis of cohort differences was performed using the Statistical Parametric Mapping (SPM12) toolbox in MATLAB. Correlation analysis was performed between DTI, DKI metrics and clinical measures such as duration of illness, fatigue severity, SF36 domains and WHODAS domains.

Results: Compared with healthy controls, individuals with ME/CFS showed microstructural alterations in the cingulum, supplementary motor areas, and parts of the corpus callosum (all p < 0.05). Long COVID participants demonstrated microstructural alterations in regions including the fusiform and precentral gyrus and in major white matter tracks (all p < 0.05). Direct comparisons between ME/CFS and long COVID revealed difference in the left corona radiata (p = 0.001).

Conclusion: This study identifies distinct tissue microstructural alterations in ME/CFS and long COVID and offers a vital insight into the neuropathological basis of shared symptoms in both conditions.

Source: Singh TB, Marshall-Gradisnik S, Barnden L, Eaton-Fitch N, Huynh TH, Inderyas M, Thapaliya K. Microstructural alterations in brain tissue of ME/CFS and long COVID using diffusion tensor imaging and diffusion kurtosis imaging. Front Med (Lausanne). 2026 Jul 17;13:1824498. doi: 10.3389/fmed.2026.1824498. PMID: 42539798; PMCID: PMC13424405. https://pmc.ncbi.nlm.nih.gov/articles/PMC13424405/ (Full text)

Central noradrenergic deficiency in post-infectious chronic fatigue: Neurobehavioral correlates

Abstract:

Fatigue, brain fog and post-exertional malaise are major features of post-infectious myalgic encephalomyelitis/chronic fatigue syndrome and post-acute sequelae of severe acute respiratory syndrome coronavirus 2. To date, no specific neurotransmitter abnormalities have been found in either condition. We examined the possibility of central catecholaminergic involvement and clinical correlates in post-infectious myalgic encephalomyelitis/chronic fatigue syndrome and post-acute sequelae of severe acute respiratory syndrome coronavirus 2 groups compared to healthy volunteers and, as positive controls, Parkinson’s disease patients.

In an observational, cross-sectional cohort study conducted at the National Institutes of Health Clinical Center we measured CSF levels of catecholamines and metabolites in the four groups and assessed correlations with neurobehavioral measures. CSF indices of the central Norepinephrine Pathway (norepinephrine + 3,4-dihydroxyphenylglycol + 3-methoxy-4-hydroxyphenylglycol) and Dopamine Pathway (dopamine + 3,4-dihydroxyphenylacetic acid + homovanillic acid) were measured and related to patient-recorded outcomes and physiological assessments.

Mean values for Norepinephrine Pathway activity (in pmol/mL) were lower in the post-infectious myalgic encephalomyelitis/chronic fatigue syndrome, post-acute sequelae of severe acute respiratory syndrome coronavirus 2, and Parkinson’s disease groups compared to the healthy volunteer cohort (post-infectious myalgic encephalomyelitis/chronic fatigue syndrome (-15.9, 95% confidence interval [-26.1, -5.7], P = 0.0006); post-acute sequelae of severe acute respiratory syndrome coronavirus 2 (-9.62, [-17.9, -1.4], P = 0.015); Parkinson’s disease (-19.4, [-27.5, -11.3], P < 0.0001)).

Post-acute sequelae of severe acute respiratory syndrome coronavirus 2 participants with post-exertional malaise had evidence of central noradrenergic deficiency compared to healthy volunteers (-18.3 [-31.3, -5.3], P = 0.0018). The post-infectious myalgic encephalomyelitis/chronic fatigue syndrome and post-acute sequelae of severe acute respiratory syndrome coronavirus 2 groups did not differ from the healthy group in values for the Dopamine Pathway index. Across all participants, Norepinephrine Pathway activity correlated positively with handgrip duration and general health and negatively with fatigue.

We conclude that post-infectious myalgic encephalomyelitis/chronic fatigue syndrome and post-acute sequelae of severe acute respiratory syndrome coronavirus 2 feature a specific central neurotransmitter pattern involving noradrenergic but not dopaminergic deficiency. The noradrenergic abnormality is associated with major symptoms such as post-exertional malaise.

Source: Aregawi L, Walitt B, Sullivan P, Norato G, Benjamin RN, Goldstein DS. Central noradrenergic deficiency in post-infectious chronic fatigue: neurobehavioral correlates. Brain Commun. 2026 May 13;8(3):fcag173. doi: 10.1093/braincomms/fcag173. PMID: 42205163; PMCID: PMC13202209. https://pmc.ncbi.nlm.nih.gov/articles/PMC13202209/ (Full text)

Risks of autoimmune and inflammatory post-acute COVID-19 conditions: a network cohort study in six European countries, the USA and Korea

Abstract:

Objectives: We aimed to assess the risk of incident autoimmune and inflammatory conditions during the post-acute period of COVID-19.

Design: Descriptive network cohort study.

Setting: Electronic health records from the UK and Dutch primary care, Norwegian linked health registry, hospital records of specialist centres in Spain, France and Korea and healthcare claims from Estonia and the USA.

Participants: We followed individuals between September 2020 and the latest available data from day 91 after a SARS-CoV-2 negative test (comparator) or a COVID-19 record (exposed patients, ie assessing patients during the post-acute phase). We further established a reinfection cohort (any further COVID-19 record among the exposed patients). We followed patients until an outcome, end of study period, death, day 365 or an infection (comparator only) or reinfection (exposed patients only).

Main outcome measures: We assessed postural orthostatic tachycardia syndrome (POTS) diagnoses/symptoms, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) diagnoses/symptoms, multi-inflammatory syndrome (MIS) and several autoimmune diseases (rheumatoid arthritis (RA), juvenile idiopathic arthritis (JIA), systemic lupus erythematosus (SLE), inflammatory bowel disease (IBD) and type 1 diabetes mellitus (T1DM)). Meta-analysed crude incidence rate ratios (IRRs) of outcomes after COVID-19 versus negative testing and after reinfection versus a previous COVID-19 record yield the ratios of respective absolute risks of each assessed outcome. We performed subgroup analyses by age, sex and predominant variant periods.

Results: We included 2 521 812 individuals with a first COVID-19 record, 4 233 145 with a first negative test and 135 551 with a reinfection. Age and sex were largely comparable between exposure groups with a shorter follow-up for the reinfection cohorts. After COVID-19 compared with test-negative patients and equally after reinfection compared with previous COVID-19 patients, we did not observe increased rates for all outcomes and all subgroup analyses. Counts of MIS and JIA were too small for meta-analyses.

Conclusions: In our descriptive meta-analyses of crude IRRs among databases from various countries and settings, we did not observe increased rates of incident POTS, ME/CFS, RA, IBD, SLE and T1DM in COVID-19 versus test-negative or reinfection versus COVID-19 during the first 9 months of the post-acute phase of COVID-19 or reinfection (>90 days postinfection until month 12). Since causal interpretation cannot be made from this study, further causal research is warranted.

Source: Burkard TM, López-Güell K, Català M, Burn E, Delmestri A, Khalid S, Jödicke AM, Dedman D, Oyinlola J, Abellan A, Pérez-Crespo L, Mercadé-Besora N, Duarte-Salles T, Prieto-Alhambra D, Arinze J, Mosseveld M, Kolde R, Meléndez J, López-Blasco R, Martínez Á, Valdivieso B, Delseny D, Mercier G, Kim C, Kim JW, Kostka K, Ramírez-Anguita JM, Mayer MA, Trinh NTH, Nordeng H, Paredes R, Uusküla A, Nishimura A, Loste C, Mateu L, Xie J. Risks of autoimmune and inflammatory post-acute COVID-19 conditions: a network cohort study in six European countries, the USA and Korea. BMJ Public Health. 2026 Jul 24;4(3):e001686. doi: 10.1136/bmjph-2024-001686. PMID: 42516718; PMCID: PMC13404851. https://pmc.ncbi.nlm.nih.gov/articles/PMC13404851/ (Full text)

Pacing and energy management with digital tools for conditions with chronic fatigue: What we know so far in ME/CFS and Long COVID

Introduction:

Why pacing matters in conditions with post‑exertional symptom exacerbation

‘Pacing’, or ‘energy management’, is a structured approach to regulating one’s physical, cognitive, and emotional activities to remain within limits imposed by chronic illnesses such as fibromyalgia, cancer, ME/CFS, and Long COVID [1,2]. Pacing ostensibly prevents post‑exertional symptom exacerbation, notably post‑exertional malaise (PEM), the worsening of fatigue, pain, cognitive dysfunction, and other symptoms following even modest activity. Across the literature, pacing is heterogeneously described as strategies that include activity planning, routine‑setting, pre‑emptive rest, breaking tasks into smaller components, monitoring energy fluctuations, and intentionally avoiding activity “push‑crash” cycles that commonly drive clinical deterioration [3]. In addition to heterogenous implementation, evidence of efficacy is also varied [3–9]. In this article, we will focus on ME/CFS and Long COVID as use case examples.

Historically, pacing emerged as an energy management method encouraging individuals to do as much as they can within their limits, rather than pushing through symptoms or following externally prescribed exercise. The central principle is that of the “energy envelope” [1], which asks individuals to identify the threshold at which activity begins to provoke symptoms and then remain inside that envelope as consistently as possible.

While definitions vary across clinicians, researchers, and patient groups, a consistent theme in both our systematic review and the scoping review is that pacing is individualised and requires ongoing adjustment as symptoms fluctuate [3,7]. Importantly, pacing is now the only management strategy recommended by the 2021 NICE guidelines for ME/CFS [10], underscoring its centrality in clinical care despite the concerning lack of evidence for efficacy. As Long COVID research evolved, pacing increasingly became recognised as a pragmatic, do no harm approach for a condition characterised by varied symptomology, unpredictable recovery patterns, and vulnerability to overexertion [8,11].

Source: Sanal-Hayes NEM, Hayes LD, Mclaughlin M, Sculthorpe NF (2026) Pacing and energy management with digital tools for conditions with chronic fatigue: What we know so far in ME/CFS and Long COVID. PLOS Digit Health 5(7): e0001586. https://doi.org/10.1371/journal.pdig.0001586 https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0001586 (Full text)

Inflammatory and neuroinjury blood biomarkers across COVID-19 severity groups in individuals with persistent neurological symptoms

Abstract:

Persistent neurological symptoms such as cognitive impairment, fatigue, and neuropsychiatric disturbances are increasingly reported in patients with long COVID, with chronic neuroinflammation and neuronal injury proposed as potential contributors. To characterize inflammatory and neuroinjury-related biomarker patterns, we conducted a case-control study including 325 participants recruited at King Chulalongkorn Memorial Hospital between January 2022 and December 2023, comprising 265 individuals with persistent neurological symptoms following COVID-19 infection and 60 asymptomatic COVID-19 participants who did not develop long COVID symptoms.

Blood samples were analysed for inflammatory cytokines (IL-1β, IL-6, IL-8, TNF-α, IFN-α, IL-4) using multiplex immunoassays, and for neuroinflammatory and neurodegenerative biomarkers, including neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), phosphorylated tau181, and beta-amyloid peptides (Aβ40, Aβ42) using SIMOA and ELISA platforms. Among 265 participants with complete data (critical = 7, severe = 22, moderate = 79, mild = 157), patients with severe and critical COVID-19 exhibited significantly higher concentrations of IL-6, IL-1β, TNF-α, and IL-8, together with elevated NfL, GFAP, and phosphorylated tau181 levels, and reduced Aβ42/40 ratios.

Strong positive correlations between neurodegenerative biomarkers and pro-inflammatory cytokines were observed in critically ill patients, whereas these associations were weak or absent in mild and moderate cases. Older age was also associated with greater disease severity and increased risk of persistent neurological complications.

These findings indicate that individuals with persistent neurological symptoms following COVID-19, particularly those with a history of severe or critical disease, exhibited higher inflammatory and neuroinjury-related biomarker levels, while blood-based biomarkers such as NfL, GFAP, and phosphorylated tau181 may serve as minimally invasive tools for characterizing neurological involvement and identifying patients at risk of long-term neurological sequelae.

Source: Ruchisrisarod C, Kaewpom T, Wanthong P, Luechaipanit W, Bunprakob S, Ampoot W, Yomrat S, Hemachudha P, Supharatpariyakorn T, Thanapornsangsuth P, Tammachote R, Saraya AW. Inflammatory and neuroinjury blood biomarkers across COVID-19 severity groups in individuals with persistent neurological symptoms. Int J Immunopathol Pharmacol. 2026 Jan-Dec;40:3946320261465568. doi: 10.1177/03946320261465568. Epub 2026 Jul 16. PMID: 42460883; PMCID: PMC13376473. https://pmc.ncbi.nlm.nih.gov/articles/PMC13376473/ (Full text)

Biomarkers of post-acute infection syndrome: a systematic literature review

Abstract:

Background: Post-acute infection syndrome (PAIS) remained underrecognized before the COVID-19 pandemic, which further increased exposure by introducing a novel global cause. The global burden of post-acute COVID syndrome (PACS) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) alone is estimated at several tens of millions affected worldwide. Biomarker discovery is central to improving PAIS diagnosis and may provide therapeutic targets. This review summarizes current knowledge on biomarkers for PAIS, including PACS and ME/CFS.

Methods: A systematic literature search was conducted in PubMed and Web of Science. Inclusion criteria were: (1) studies including PAIS patients; (2) reporting laboratory or omics biomarkers; and (3) investigating biomarkers or pathomechanisms of PAIS. Although Guillain-Barré syndrome (GBS) is not PAIS, we have included it as a separate mechanistic comparator due to its prevalence in search results and its clinical and immunological similarities to PAIS.

Results: A total of 142 studies analyzing PAIS biomarkers were included. GBS was analyzed separately and later compared with the other results. Overall, the reviewed studies employed heterogeneous approaches. While similar types of data were frequently investigated, analytical methods varied and often focused only on a subset of molecules. The results indicate that amino acid, energy, and lipid metabolism, microbiome, mitochondrial stress, and miRNA networks are affected. All pathways are connected via NF-κB.

Discussion: PAIS is a multisystem disorder rooted in persistent immune activation, metabolic reprogramming, and systemic inflammation, driven not by active viral infection, but by dysregulated host responses. The NF-κB pathway serves as a unifying hub, connecting molecular, cellular, and clinical phenotypes. Our framework enables a shift from symptom-based to mechanism-based classification, paving the way for biologically grounded interventions.

Conclusion: This review synthesizes a broad spectrum of biomarkers in PAIS, integrating findings across pathogens and molecular levels rather than restricting to individual conditions or symptom clusters. This study highlights the differences and commonalities among pathogens and diseases that lead to post-acute sequelae, fills a critical knowledge gap, and provides a foundation for future research and clinical practice. Future studies incorporating multi-omics approaches, longitudinal designs, and larger patient cohorts are needed to validate specific biomarkers and advance the understanding of PAIS.

Source: Wendt K, Schieck M, Gille C, Marschollek M, Illig T, Wolff D, Nee S. Biomarkers of post-acute infection syndrome: a systematic literature review. Front Immunol. 2026 Jun 30;17:1741761. doi: 10.3389/fimmu.2026.1741761. PMID: 42454043; PMCID: PMC13365053. https://pmc.ncbi.nlm.nih.gov/articles/PMC13365053/ (Full text)

Therapeutic plasma exchange and immunomodulatory strategies in post-infectious syndromes: A review of immune dysregulation in PTLDS, long COVID, ME/CFS, and PANS/PANDAS

Abstract:

Post-infectious syndromes including post-treatment Lyme disease syndrome (PTLDS), long COVID, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and pediatric acute-onset neuropsychiatric syndrome (PANS)/pediatric autoimmune neuropsychiatric disorders associated with streptococcal infections (PANDAS) share overlapping clinical phenotypes characterized by fatigue, cognitive dysfunction, sleep disturbance, and neuropsychiatric symptoms. Increasing evidence suggests that immune dysregulation-including persistent inflammation, autoantibody production, and cellular immune dysfunction-may underlie these conditions.

This narrative review synthesizes peer-reviewed literature describing immune abnormalities across these syndromes and evaluates the rationale for immunomodulatory therapies, including intravenous immunoglobulin (IVIG), rituximab, and therapeutic plasma exchange (TPE). Evidence supporting immune-targeted treatment strategies is strongest in subsets of patients with identifiable immunologic abnormalities. Notably, the phase III RituxME trial in ME/CFS and a phase II trial of TPE in post-COVID condition both failed to demonstrate efficacy in unselected populations, reinforcing the importance of biomarker-guided patient stratification. TPE functions by removing circulating immune complexes, autoantibodies, and inflammatory mediators, and observational data suggest benefit in patients with demonstrable autoantibody burden. Further controlled studies incorporating immunologic phenotyping and early intervention are needed to define the therapeutic role of immune-directed interventions across these conditions.

Source: Kaplan G. Therapeutic plasma exchange and immunomodulatory strategies in post-infectious syndromes: A review of immune dysregulation in PTLDS, long COVID, ME/CFS, and PANS/PANDAS. Transfus Apher Sci. 2026 Jun 26;65(4):104482. doi: 10.1016/j.transci.2026.104482. Epub ahead of print. PMID: 42391726.  https://pubmed.ncbi.nlm.nih.gov/42391726/

Exploring the mechanisms of acupuncture in improving cognitive function in post-COVID-19 myalgic encephalomyelitis/chronic fatigue syndrome: study protocol for a randomized controlled trial using multimodal MRI

Abstract:

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a common sequela following COVID-19. Although cognitive dysfunction is one of the most debilitating symptoms in ME/CFS, effective therapies are limited. Acupuncture is an important complementary and alternative therapy for ME/CFS and has been shown to have positive effects on cognitive dysfunction in other diseases. However, the effect and mechanism of acupuncture in treating cognitive dysfunction in post-COVID-19 ME/CFS(PCME/CFS) remain unclear. In this study, we designed a randomized controlled trial to evaluate the efficacy of acupuncture treatment in improving cognitive function in PCME/CFS and to investigate the neural mechanisms of acupuncture using multimodal magnetic resonance imaging (MRI) techniques.

Methods: A total of 129 patients and 30 healthy controls (HCs) will be enrolled. The 129 patients with PCME/CFS will be randomly assigned in a 1:1:1 ratio to a verum acupuncture (VA), sham acupuncture (SA), or a waitlist control group. Participants in the VA and SA groups will receive three sessions of treatment per week for 8 weeks, while patients in the waitlist control group will be treated after the 8-week waiting period. The primary outcome is the change in the Symbol Digit Modalities Test (SDMT) score from baseline to week 8. The secondary outcome measures include changes from baseline to endpoint (week 8) in cognitive performance as assessed by the Digit Span Test (DST), Trail Making Test (TMT), Rey Auditory Verbal Learning Test (RAVLT), Rey-Osterrieth complex figure test (RCFT), Stroop Color and Word Test (SCWT), phonemic fluency test, category fluency test, action fluency test, and 30-item Boston Naming Test (BNT-30). In addition, changes in hippocampal metabolites and resting-state functional connectivity(RSFC) will be examined using 1H-magnetic resonance spectroscopy(1H-MRS) and functional MRI (fMRI), respectively. Moreover, the Multidimensional Fatigue Inventory (MFI-20), Pittsburgh Sleep Quality Index (PSQI), Generalized Anxiety Disorder 7-item scale (GAD-7), 24-item Hamilton Depression Scale (HAMD-24), and 36-Item Short Form Survey (SF-36) will also be assessed at baseline and week 8.

Discussion: The results of this study will provide preliminary evidence regarding the efficacy of acupuncture therapy in improving cognitive function in PCME/CFS and will explore whether acupuncture improves cognitive function in this disease by modulating metabolism and RSFC in the hippocampus.

Clinical trial registration: www.clinicaltrials.gov, identifier: NCT07357688.

Source: Luo T, Luo Y, Huang L, Jin H, An Y, Huang J, Luo K, Guo Y, Wang D, Liu D, Wu X. Exploring the mechanisms of acupuncture in improving cognitive function in post-COVID-19 myalgic encephalomyelitis/chronic fatigue syndrome: study protocol for a randomized controlled trial using multimodal MRI. Front Neurol. 2026 Jun 3;17:1793397. doi: 10.3389/fneur.2026.1793397. PMID: 42383026; PMCID: PMC13318089. https://pmc.ncbi.nlm.nih.gov/articles/PMC13318089/ (Full text)

Redefining pandemic resilience: a roadmap for post-infectious syndrome preparedness and health system transformation

Abstract:

Post-infectious syndromes like Long COVID and ME/CFS lead to disability and economic losses globally, especially in lower-income countries. These involve complex multisystem issues such as immune disturbances, inflammation, autonomic dysregulation, vascular problems, altered metabolism, and tissue damage. Re-infections increase the risk of disability and complications. Healthcare delays diagnosis and neglects long-term effects.

We propose a three-part healthcare approach: primary care screening with digital tools, regional testing centers, and specialized Centers of Excellence for complex cases. An integrated infrastructure with registries, patient data, and wearables supports personalized care and surveillance. Policies should include disability benefits, rehab, infection control, and innovative funding. Healthcare must be accessible via mobile and community efforts, integrated into pandemic plans. The goal is to reduce morbidity and improve socioeconomic resilience.

Source: Schieffer B. Redefining pandemic resilience: a roadmap for post-infectious syndrome preparedness and health system transformation. Front Health Serv. 2026 Jun 10;6:1779647. doi: 10.3389/frhs.2026.1779647. PMID: 42358486; PMCID: PMC13290723. https://pmc.ncbi.nlm.nih.gov/articles/PMC13290723/ (Full text)

Systems neuroendocrinology in ME/CFS and long COVID: a chronobiological framework for hormone-based research

Abstract:

Hormonal dysregulation is increasingly reported in ME/CFS and Long COVID, yet the broader role of neuroendocrine disruption in these conditions remains underexplored. While changes in steroid, peptide, and neuropeptide hormones have been identified, these findings are often considered in isolation and without attention to their timing or integration within broader physiological systems. The hypothalamic-pituitary axes regulate endocrine, immune, autonomic, nervous, and metabolic functions, systems commonly affected in both conditions, yet their circadian and menstrual dynamics are rarely investigated.

In this review, we examine the evidence for neuroendocrine dysfunction in ME/CFS and Long COVID, focusing on hormone output, functional assays, receptor expression, and the coordination of endocrine biorhythms. Sex hormone signalling emerges as a key area of vulnerability, particularly given the female predominance in both conditions and the complexity of reproductive hormone regulation.

We argue that accurate hormone measurement and time-structured sampling, including circadian and menstrual rhythms, are essential for detecting meaningful biological differences. By embedding chronobiology-aware, dense-sampling strategies and integrating multi-omic analyses into multi-system study designs, we outline a framework for investigating dynamic endocrine mechanisms underlying symptom variability and multisystem dysfunction, which may ultimately support the development of more targeted, personalised interventions.

Source: Thomas N, Huang K, Schneider-Futschik EK, Pollack B, Tal MC, Fineberg D, Wang X, Gurvich C, Pretorius R, Bergquist J, Armstrong CW. Systems neuroendocrinology in ME/CFS and long COVID: a chronobiological framework for hormone-based research. Front Neuroendocrinol. 2026 Jun 19:101268. doi: 10.1016/j.yfrne.2026.101268. Epub ahead of print. PMID: 42320559. https://www.sciencedirect.com/science/article/abs/pii/S0091302226000385 (Full text)