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相关论文

31

Lifespan reference curves for harmonizing multi-site regional brain white matter metrics from diffusion MRI

Alyssa H. ZhuTalia M. NirShayan JavidJulio E. Villalón-ReinaAmanda L. Rodrigue17
Scientific Data
2025
2025/5/6
Vol.12 No.1 p.1-18
Age-related white matter (WM) microstructure maturation and decline occur throughout the human lifespan, complementing the process of gray matter development and degeneration. Here, we create normative lifespan reference curves for global and regional WM microstructure by harmonizing diffusion MRI (...
Computational neuroscienceDevelopment of the nervous systemNeuroscienceSoftwareStandards
10.1038/S41597-025-05028-2
ISSN:2052-4463

Glial reactivity correlates with synaptic dysfunction across aging and Alzheimer’s disease

Francieli RohdenPamela C. L. FerreiraBruna BellaverJoão Pedro Ferrari-SouzaCristiano S. Aguzzoli27
Nature Communications
2025
2025/7/1
Vol.16 No.1 p.1-10
Previous studies suggest glial and neuronal changes may trigger synaptic dysfunction in Alzheimer’s disease (AD), but the link between their markers and synaptic abnormalities in the living brain remains unclear. We investigated the association between glial reactivity and synaptic dysfunction bioma...
Neurological disordersPredictive markers
10.1038/S41467-025-60806-1
ISSN:2041-1723

Cortical microstructural associations with CSF amyloid and pTau

Talia M. NirJulio E. Villalón-ReinaLauren E. SalminenElizabeth HaddadHong Zheng10
Molecular Psychiatry
2023
2023/12/13
00 p.1-12
Diffusion MRI (dMRI) can be used to probe microstructural properties of brain tissue and holds great promise as a means to non-invasively map Alzheimer’s disease (AD) pathology. Few studies have evaluated multi-shell dMRI models such as neurite orientation dispersion and density imaging (NODDI) and ...
Diagnostic markersDiseasesNeuroscience
10.1038/S41380-023-02321-7
ISSN:1359-4184

Contextual variability in under-diagnosed cardiometabolic disease and cognitive vulnerability among populations at high risk for Alzheimer’s disease and related dementias

Nwanyieze Ngozi JiakponnahJoseph CurranTamlyn WatermeyerJasmit ShahLitha Musili20
Npj Dementia
2026
2026/6/19
Vol.2 No.1 p.480
Underdiagnosis of cardiometabolic risk factors (CMRFs) may represent an unrecognised biological pathway contributing to dementia risk; yet remains poorly characterised in African and African diaspora populations. We quantified the prevalence and determinants of underdiagnosed hypertension and abnorm...
BiomarkersDiseasesNeurologyNeuroscienceRisk factors
10.1038/S44400-026-00099-3
ISSN:3005-1940

AI-driven fusion of multimodal data for Alzheimer’s disease biomarker assessment

Varuna H. JasodanandSahana S. KowshikShreyas PuducheriMichael F. RomanoLingyi Xu7
Nature Communications
2025
2025/8/11
Vol.16 No.1 p.1-19
Alzheimer’s disease (AD) diagnosis hinges on detecting amyloid beta (Aβ) plaques and neurofibrillary tau (τ) tangles, typically assessed using PET imaging. While accurate, these modalities are expensive and not widely accessible, limiting their utility in routine clinical practice. Here, we present ...
Alzheimer's diseaseMachine learning
10.1038/S41467-025-62590-4
ISSN:2041-1723

Cerebellar aging is spatially heterogeneous and supports cognitive resilience in later life

Federico d’Oleire UquillasEsra SefikJakob SeidlitzEdan Daniel HertzRafael Romero-Garcia13
Nature Neuroscience
2026
2026/6/10
00 p.1-12
The cerebellum contains most of the brain’s neurons and supports many functions, yet how it changes with age remains unclear. Here we used three brain imaging studies spanning 47,000 adults and examined how different parts of the cerebellum age and their relation to cognition. We characterized cereb...
Cognitive ageingCognitive neuroscience
10.1038/S41593-026-02289-X
ISSN:1097-6256

A lifespan-generalizable skull-stripping model for magnetic resonance images that leverages prior knowledge from brain atlases

Limei WangYue SunJakob SeidlitzRichard A. I. BethlehemAaron Alexander-Bloch10
Nature Biomedical Engineering
2025
2025/1/8
00 p.1-16
In magnetic resonance imaging of the brain, an imaging-preprocessing step removes the skull and other non-brain tissue from the images. But methods for such a skull-stripping process often struggle with large data heterogeneity across medical sites and with dynamic changes in tissue contrast across ...
Image processingMachine learning
10.1038/S41551-024-01337-W
ISSN:2157-846X

Multiplex cerebrospinal fluid proteomics identifies biomarkers for diagnosis and prediction of Alzheimer’s disease

Yu GuoShi-Dong ChenJia YouShu-Yi HuangYi-Lin Chen15
Nature Human Behaviour
2024
2024/7/10
00 p.1-20
Recent expansion of proteomic coverage opens unparalleled avenues to unveil new biomarkers of Alzheimer’s disease (AD). Among 6,361 cerebrospinal fluid (CSF) proteins analysed from the ADNI database, YWHAG performed best in diagnosing both biologically (AUC = 0.969) and clinically (AUC = 0.857) defi...
Alzheimer's diseaseDiagnostic markersNeurodegeneration
10.1038/S41562-024-01924-6
ISSN:2397-3374

Mild cognitive impairment cases affect the predictive power of Alzheimer’s disease diagnostic models using routine clinical variables

Caitlin A. FinneyArtur Shvetcov
Npj Aging
2026
2026/4/21
0
Diagnostic models using primary care routine clinical variables have been limited in their ability to identify Alzheimer’s disease (AD) patients. In this study, we sought to better understand the effect of mild cognitive impairment (MCI) on the predictive performance of AD diagnostic models. We sour...
DiseasesHealth careMedical researchNeurologyNeuroscience
10.1038/S41514-026-00390-W
ISSN:2731-6068

Diagnosis of Alzheimer’s disease using plasma biomarkers adjusted to clinical probability

Joseph TherriaultShorena JanelidzeAndréa Lessa BenedetNicholas J. AshtonJavier Arranz Martínez56
Nature Aging
2024
2024/11/12
Vol.4 No.11 p.1529-1537
Recently approved anti-amyloid immunotherapies for Alzheimer’s disease (AD) require evidence of amyloid-β pathology from positron emission tomography (PET) or cerebrospinal fluid (CSF) before initiating treatment. Blood-based biomarkers promise to reduce the need for PET or CSF testing; however, the...
AgeingAlzheimer's disease
10.1038/S43587-024-00731-Y
ISSN:2662-8465

Atrophy in preclinical Alzheimer’s disease maps to a network that predicts longitudinal decline

Soyoung LeeSheena R. BaratonoJunghee HaGrace T. BurtStephan T. Palm15
Molecular Psychiatry
2026
2026/6/26
00 p.1-9
Brain atrophy may precede cognitive and functional impairment in Alzheimer’s disease (AD), but at this “preclinical” stage, it remains unclear whether atrophy localizes to specific brain networks and whether such localization is associated with clinical outcomes. We investigated cortical thickness i...
NeurosciencePrognostic markersPsychiatric disorders
10.1038/S41380-026-03706-0
ISSN:1359-4184

Structural inequality linked to brain volume and network dynamics in aging and dementia across the Americas

Agustina LegazFlorencia AltschulerRaul Gonzalez-GomezHernán HernándezSandra Baez43
Nature Aging
2024
2024/12/27
00 p.1-16
Structural inequality, the uneven distribution of resources and opportunities, influences health outcomes. However, the biological embedding of structural inequality in aging and dementia, especially among underrepresented populations, is unclear. We examined the association between structural inequ...
Neural ageingNeurodegenerative diseases
10.1038/S43587-024-00781-2
ISSN:2662-8465

Longer scans boost prediction and cut costs in brain-wide association studies

Leon Qi Rong OoiCsaba OrbanShaoshi ZhangThomas E. NicholsTrevor Wei Kiat Tan28
Nature
2025
2025/7/16
00 p.1-10
A pervasive dilemma in brain-wide association studies1 (BWAS) is whether to prioritize functional magnetic resonance imaging (fMRI) scan time or sample size. We derive a theoretical model showing that individual-level phenotypic prediction accuracy increases with sample size and total scan duration ...
Cognitive neuroscienceComputational neuroscience
10.1038/S41586-025-09250-1
ISSN:0028-0836

Individualized prognosis of cognitive decline and dementia in mild cognitive impairment based on plasma biomarker combinations

Nicholas C. CullenAntoine LeuzySebastian PalmqvistShorena JanelidzeErik Stomrud14
Nature Aging
2020
2020/11/30
Vol.1 No.1 p.114-123
We developed models for individualized risk prediction of cognitive decline in mild cognitive impairment (MCI) using plasma biomarkers of β-amyloid (Aβ), tau and neurodegeneration. A total of 573 patients with MCI from the Swedish BioFINDER study and the Alzheimer’s Disease Neuroimaging Initiative (...
Alzheimer's diseasePredictive markersPrognostic markers
10.1038/S43587-020-00003-5
ISSN:2662-8465

Radiomic tractometry reveals tract-specific imaging biomarkers in white matter

Peter NeherDusan HirjakKlaus Maier-Hein
Nature Communications
2024
2024/1/5
Vol.15 No.1 p.1-11
Tract-specific microstructural analysis of the brain’s white matter (WM) using diffusion MRI has been a driver for neuroscientific discovery with a wide range of applications. Tractometry enables localized tissue analysis along tracts but relies on bare summary statistics and reduces complex image i...
BiomarkersComputational neuroscienceMachine learningPsychiatric disorders
10.1038/S41467-023-44591-3
ISSN:2041-1723

CYP1B1-RMDN2 Alzheimer’s disease endophenotype locus identified for cerebral tau PET

Kwangsik NhoShannon L. RisacherLiana G. ApostolovaPaula J. BiceJared R. Brosch59
Nature Communications
2024
2024/9/20
Vol.15 No.1 p.1-14
Determining the genetic architecture of Alzheimer’s disease pathologies can enhance mechanistic understanding and inform precision medicine strategies. Here, we perform a genome-wide association study of cortical tau quantified by positron emission tomography in 3046 participants from 12 independent...
Alzheimer's diseaseGenome-wide association studies
10.1038/S41467-024-52298-2
ISSN:2041-1723

A quantitative trait locus for reduced microglial APOE expression associates with reduced cerebral amyloid angiopathy

Michael E. BelloyJonathan Graff-RadfordMichael D. Greicius
Nature Genetics
2026
2026/1/26
Vol.58 No.2 p.271-272
Alzheimer's diseaseGene regulationGenetic association study
10.1038/S41588-025-02472-Z
ISSN:1061-4036

Prediction of future Alzheimer’s disease dementia using plasma phospho-tau combined with other accessible measures

Sebastian PalmqvistPontus TidemanNicholas CullenHenrik ZetterbergKaj Blennow10
Nature Medicine
2021
2021/5/24
00 p.1-9
A combination of plasma phospho-tau (P-tau) and other accessible biomarkers might provide accurate prediction about the risk of developing Alzheimer’s disease (AD) dementia. We examined this in participants with subjective cognitive decline and mild cognitive impairment from the BioFINDER (n = 340) ...
Alzheimer's diseasePrognostic markers
10.1038/S41591-021-01348-Z
ISSN:1078-8956

Common and rare variant analyses implicate JARID2 in cerebral tau deposition

Tamil Iniyan GunasekaranDevendra MeenaAnnie J. LeeSiwei WuLogan Dumitrescu12
Npj Dementia
2026
2026/7/3
Vol.2 No.1 p.520
Genetic research on Alzheimer’s disease (AD) has primarily focused on amyloid-β (Aβ), with fewer studies exploring tau pathology. We performed common variant GWAS on tau-PET SUVRs from A4 (n = 311 preclinical AD) and ADNI (n = 375 across diagnostic groups) cohorts. We complemented this with locus-sp...
DiseasesGeneticsNeurologyNeuroscience
10.1038/S44400-026-00107-6
ISSN:3005-1940

Cell-type-specific Alzheimer’s disease polygenic risk scores are associated with distinct disease processes in Alzheimer’s disease

Hyun-Sik YangLing TengDaniel KangVilas MenonTian Ge17
Nature Communications
2023
2023/11/30
Vol.14 No.1 p.1-13
Many of the Alzheimer’s disease (AD) risk genes are specifically expressed in microglia and astrocytes, but how and when the genetic risk localizing to these cell types contributes to AD pathophysiology remains unclear. Here, we derive cell-type-specific AD polygenic risk scores (ADPRS) from two ext...
Alzheimer's diseaseAstrocyteMicrogliaPersonalized medicine
10.1038/S41467-023-43132-2
ISSN:2041-1723

Explore brain-inspired machine intelligence for connecting dots on graphs through holographic blueprint of oscillatory synchronization

Tingting DanJiaqi DingGuorong Wu
Nature Communications
2025
2025/10/24
Vol.16 No.1 p.1-15
Neural coupling in both neuroscience and AI emerges dynamic oscillatory patterns that encode abstract concepts. To that end, we hypothesize that a deeper understanding of the neural mechanisms that determine brain rhythms could inspire next-generation design principles for machine learning algorithm...
Computer scienceLearning algorithmsMagnetic resonance imaging
10.1038/S41467-025-64471-2
ISSN:2041-1723

Hemispheric asymmetry of tau pathology is related to asymmetric amyloid deposition in Alzheimer’s Disease

Toomas Erik AnijärvRik OssenkoppeleRuben SmithAlexa Pichet BinetteLyduine E. Collij17
Nature Communications
2025
2025/9/5
Vol.16 No.1 p.1-15
The distribution of tau pathology in Alzheimer’s disease (AD) shows remarkable inter-individual heterogeneity, including hemispheric asymmetry. However, the factors driving this asymmetry remain poorly understood. Here we explore whether tau asymmetry is linked to i) reduced inter-hemispheric brain ...
Alzheimer's diseaseDiagnostic markers
10.1038/S41467-025-63564-2
ISSN:2041-1723

A foundation model for enhancing magnetic resonance images and downstream segmentation, registration and diagnostic tasks

Yue SunLimei WangGang LiWeili LinLi Wang
Nature Biomedical Engineering
2024
2024/12/5
00 p.1-18
In structural magnetic resonance (MR) imaging, motion artefacts, low resolution, imaging noise and variability in acquisition protocols frequently degrade image quality and confound downstream analyses. Here we report a foundation model for the motion correction, resolution enhancement, denoising an...
Computational modelsImage processingMachine learning
10.1038/S41551-024-01283-7
ISSN:2157-846X

The proportion of Alzheimer’s disease attributable to apolipoprotein E

Dylan M. WilliamsSami HeikkinenMikko HiltunenNeil M. DaviesEmma L. Anderson
Npj Dementia
2026
2026/1/9
Vol.2 No.1 p.10
Variation in the APOE gene strongly affects Alzheimer’s disease (AD) risk. However, the proportion of AD burden attributable to this variation requires clarification, which would help to elucidate the scope of strategies targeting apolipoprotein E (APOE) for AD prevention and treatment. We estimated...
DiseasesGeneticsMedical researchNeurologyNeuroscienceRisk factors
10.1038/S44400-025-00045-9
ISSN:3005-1940

Longitudinal non-negative matrix factorization identifies the altered trajectory of motor symptoms in Parkinson’s disease

Xinmin HouKai ZhouYuxuan WuRong LiJiali Yu9
Npj Parkinson's Disease
2025
2025/8/28
Vol.11 No.1 p.1-10
Parkinson’s disease (PD) is the second most common neurodegenerative disease with progressive structural alterations throughout the brain, resulting in motor symptoms that seriously affect patients’ daily life. The present study then aimed to explore the progressive co-changes in gray matter pattern...
Magnetic resonance imagingParkinson's disease
10.1038/S41531-025-01127-4
ISSN:2373-8057

Multi-modal Neuroimaging Phenotyping of Mnemonic Anosognosia in the Aging Brain

Elisenda BueichekúIbai DiezGeoffroy GagliardiChan-Mi KimKayden Mimmack7
Communications Medicine
2024
2024/4/5
Vol.4 No.1 p.1-13
Unawareness is a behavioral condition characterized by a lack of self-awareness of objective memory decline. In the context of Alzheimer’s Disease (AD), unawareness may develop in predementia stages and contributes to disease severity and progression. Here, we use in-vivo multi-modal neuroimaging to...
Alzheimer's diseaseConsciousnessFunctional magnetic resonance imagingPositron-emission tomographyPredictive markers
10.1038/S43856-024-00497-9
ISSN:2730-664X

Spatiotemporal dynamics of tau extent and load increase in Alzheimer’s disease across four longitudinal cohorts

Arthur C. MacedoLydia TrudelJoseph TherriaultNesrine RahmouniÉtienne Aumont41
Nature Aging
2026
2026/7/14
Vol.6 No.7 p.1468-1481
This longitudinal study including four independent cohorts assessed the spatiotemporal dynamics of tau extent and load changes in Alzheimer’s disease using tau positron emission tomography data from 2,459 participants, including 898 followed for up to 7 years. Regional standardized uptake value rati...
Alzheimer's diseaseDiagnostic markersNeurodegeneration
10.1038/S43587-026-01143-W
ISSN:2662-8465

A 15-Item modification of the PSP rating scale to improve clinical meaningfulness and statistical performance

Tien DamLili YangColin GillisYumeng LiJohn O’Gorman9
Nature Communications
2025
2025/1/6
Vol.16 No.1 p.1-9
Progressive supranuclear palsy (PSP) is a rare neurodegenerative disorder characterized by physical, cognitive, and behavioral impairments. The PSP Rating Scale (PSPRS) is a widely used and validated, clinical scale to monitor disease progression. Here we show the modification of PSPRS to improve cl...
Movement disordersParkinson's disease
10.1038/S41467-024-55442-0
ISSN:2041-1723

Integrated algorithm combining plasma biomarkers and cognitive assessments accurately predicts brain β-amyloid pathology

Fengfeng PanYanlu HuangXiao CaiYing WangYihui Guan12
Communications Medicine
2023
2023/5/10
Vol.3 No.1 p.1-11
Accurate prediction of cerebral amyloidosis with easily available indicators is urgently needed for diagnosis and treatment of Alzheimer’s disease (AD). We examined plasma Aβ42, Aβ40, T-tau, P-tau181, and NfL, with APOE genotypes, cognitive test scores and key demographics in a large Chinese cohort ...
Alzheimer's diseaseDiagnostic markersNeurodegenerationNeurological disorders
10.1038/S43856-023-00295-9
ISSN:2730-664X

AI-based differential diagnosis of dementia etiologies on multimodal data

Chonghua XueSahana S. KowshikDiala LteifShreyas PuducheriVaruna H. Jasodanand38
Nature Medicine
2024
2024/7/4
00 p.1-13
Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap across etiologies, yet it is crucial for formulating early, personalized management strategies. Here, we present an artificial intelligence (AI) model that harnesses a broad array of data, including demographi...
Alzheimer's diseaseDiagnostic markers
10.1038/S41591-024-03118-Z
ISSN:1078-8956

CSF total tau as a proxy of synaptic degeneration

Carolina SoaresBruna BellaverPamela C. L. FerreiraGuilherme PovalaCristiano Schaffer Aguzzoli25
Nature Communications
2025
2025/8/29
Vol.16 No.1 p.1-10
Cerebrospinal fluid (CSF) total tau (t-tau) is considered a biomarker of neuronal degeneration alongside brain atrophy and fluid neurofilament light chain protein (NfL) in biomarker models of Alzheimer’s disease (AD). However, previous studies show that CSF t-tau correlates strongly with synaptic dy...
BiomarkersNeurological disorders
10.1038/S41467-025-63545-5
ISSN:2041-1723