Skip to main content
Alzheimer's Research & Therapy logoLink to Alzheimer's Research & Therapy
. 2021 Apr 29;13:90. doi: 10.1186/s13195-021-00829-0

Characterization of the initial complaint and care pathways prior to diagnosis in very young sporadic Alzheimer’s disease

Pauline Olivieri 1,2,3,✉,#, Lorraine Hamelin 1,2,3,#, Julien Lagarde 1,2,3, Valérie Hahn 1, Elodie Guichart-Gomez 1, Carole Roué-Jagot 1, Marie Sarazin 1,2,3
PMCID: PMC8086269  PMID: 33926533

Abstract

Background

Very-early-onset Alzheimer’s disease (young-AD) differentiates from late-onset AD (old-AD) by a predominant involvement of the parietal neocortex leading to atypical presentations. The diagnosis of AD is often not the first to be mentioned in such young patients.

Methods

We retrospectively reviewed the initial complaint and care pathways of 66 sporadic young-AD (age < 62) and 30 old-AD patients (age > 65) and compared their neuropsychological profiles at the time of diagnosis (based on clinical-biological criteria) with 44 amyloid-negative controls.

Results

The initial complaint of young-AD was non-cognitive and mimicked a burnout in 32% of cases. Their main cognitive complaints were memory (38% vs 87% in old-AD) and language (17% vs 13%) impairment. The referral to a psychiatrist prior to AD diagnosis was more frequent in young-AD than in old-AD (26% vs 0%). At the time of diagnosis, young-AD were at a more severe stage of dementia than old-AD (24% vs 10% with CDR ≥ 1) but had less anosognosia.

Conclusions

Better identifying the initial signs of very-early-onset AD is crucial to improve the early diagnosis and develop new treatments.

Keywords: Young-Alzheimer’s disease, Initial complaint, Diagnosis

Background

Two main clinical features differentiate early-onset Alzheimer’s disease (young-AD) from late-onset AD (old-AD): the frequency of atypical phenotypes and the rapidity of clinical decline. Aside from the common typical amnestic presentation, young-AD patients have more often than older AD patients an atypical non-amnestic syndrome with executive, language, or visuo-spatial dysfunction [1, 2]. These phenotypic variants are explained by the location of the cortical damage: in young-AD, the lesions predominantly affect the temporo-parietal cortices with a relative sparing of the hippocampi, whereas in old-AD, a greater medial temporal lobe atrophy is observed, leading to severe amnesia [35]. In patients with an atypical non-amnestic presentation, the diagnosis of AD is possible by using pathophysiological biomarkers such as cerebrospinal fluid (CSF) biomarkers or amyloid/tau positron emission tomography (PET) imaging.

Age also plays a role in the rapidity of the clinical progression, the rate of cognitive decline being higher in young than in older AD patients, suggesting a more aggressive disease [1].

The atypical phenotypes in young subjects lead to a delayed diagnosis of young-AD [1]. Combined with the rapid progression of cognitive dysfunction make it more difficult to include these patients in therapeutic trials, as their symptoms are often too pronounced at the time of diagnosis.

Little is known about the initial complaint of young-AD, particularly for patients who still have a professional activity. This information is however of utmost importance to better detect the earliest signs of the disease.

In the present study, we aimed to retrospectively characterize the initial complaint (at the time of the first symptoms) and the care pathways of young-AD patients with or without professional activity, and to compare their neuropsychological profiles at diagnosis with those of old-AD patients. We hypothesized that beyond the purely cognitive complaint affecting memory or language, which is usually reported in old-AD, atypical initial complaints could be identified in young-AD patients, especially in the workplace.

Methods

Study design and population

We retrospectively reviewed the files of all patients younger than 62 referred to the Department of Neurology of Memory and Language at Sainte Anne Hospital in Paris from January 2017 to March 2020 (n = 247) (Fig. 1). Among them, 66 patients had a diagnosis of AD based on clinical and biological criteria defined by the CSF AD biomarker profile. We have chosen the age of 62 years, in order to target patients likely to be in active employment, as 62 is the legal age for retirement in France. In addition, 30 old-AD patients with a clinical-biological diagnosis (CSF AD biomarker profile) and a group of 44 controls (16 younger than 62 and 28 older controls) with a negative PiB-PET imaging were included. In addition, 15 AD patients (2 young-AD and 13 old-AD) had a PiB-PET imaging, which was positive in all cases.

Fig. 1.

Fig. 1

Identification of the initial symptoms and care pathways in very-young AD patients

Two neurologists, blind to each other, collected retrospectively in the medical file the main initial complaints of all patients, which were classified as (1) cognitive including language, memory, visuospatial dysfunction, or behavioral disturbances or (2) occupational burnout diagnosis according to the World Health Organization ICD11 definition [6]. They also collected their care pathways before they were referred to our department. When there was more than one complaint, the instruction was to consider as the main complaint the one leading to the neurological consultation and being at the forefront of the interview with the patient and his/her caregiver. For all types of complaints other than behavioral, the patient’s and the caregiver’s statements were concordant. For behavioral complaints, which could be more subjective, we only considered the impression of the caregiver. The diagnosis of occupational burnout syndrome was made by a psychiatrist or an occupational physician, at the time of the first symptoms, before the patient was referred to our department [6]. It was characterized by a feeling of reduced professional efficacy and energy depletion or exhaustion, leading to a severe anxiety, in the absence of cognitive neurological symptoms [6]. The diagnosis of burnout was retained when no other neurological cognitive disorder was reported by the patient, family, or the psychiatrist or occupational physician. All patients performed the same neuropsychological battery at the time of diagnosis. In addition, we assessed social life changes and cognitive (memory) anosognosia by the Cambridge Behavioural Inventory Revised Scale (CBI-R) [7] and the Mc Nair scale, which were filled both by the patients and their caregiver.

All controls provided written informed consent as part of ongoing research protocols (Imabio3 and Shatau7-Imatau studies). In accordance with the French legislation, patients for whom clinical and CSF data were generated during routine clinical workup and their relatives were informed that individual data could be used in clinical research studies and they signed a specific consent form (MA-D20-R56 study).

Statistical analysis

All statistical analyses were performed with SPSS® 26.0 (SPSS Inc., Chicago, IL, USA). A chi-square or Fisher’s exact test was performed for group comparisons of categorical data. A rank sum test or t-test was used for analyses of continuous variables. The results of quantitative variables are presented as means ± standard deviations (SD). For dichotomous variables, numbers and calculated percentages are presented. P-values < 0.05 were considered statistically significant.

Results

Initial complaint and care pathways before diagnosis (Table 1)

Table 1.

Inaugural complaint and cognitive phenotype at diagnosis in young and old-AD patients

graphic file with name 13195_2021_829_Tab1_HTML.jpg

*Data available for 61 patients with young-AD

Four cognitive presentations have been identified from the results of the neuropsychological assessments:

-Limbic characterized by hippocampal amnestic syndrome, [8]

-Biparietal dysfunction characterized by a visuospatial deficit, dyspraxia, dysgraphia, logopenic aphasia, and deficit of auditory-verbal short-term memory [2, 9]

-Logopenic variant primary progressive aphasia according to the clinical criteria of Gorno-Tempini et al. 2011 [10].

-Visual spatial dysfunction, known as posterior cortical atrophy (PCA) or “Benson’s disease” characterized by oculomotor apraxia, optic ataxia, dressing apraxia, environmental disorientation, abnormal anti-saccades, neglect, constructional difficulty, simultanagnosia, visual agnosia, and prosopagnosia [11, 12].

The initial complaint of young-AD patients was memory (38%), language (17%), visuo-spatial (6%), or behavioral (7%) impairment. In 32% of young-AD patients, the initial complaint was an occupational burnout-like syndrome. The diagnosis of burnout was made by a psychiatrist or an occupational physician for 80% of these cases, in the absence of overt language, memory, gestural, visuo-spatial, neurological behavioral disorders or even other neurological signs. For these patients, families did not report any specific cognitive symptom. In the sub-group of young-AD patients having a professional activity (n = 46), burnout was the initial complaint in 46% of cases. In the old-AD patients, the initial complaints were mainly memory (87%) and language (13%) impairment. Fifty-two percent of young-AD patients with a burnout syndrome were initially referred to a psychiatrist (vs 13% of the young-AD patients with an initial cognitive complaint) and 28% to an occupational physician.

Cognitive phenotype and neuropsychological evaluation at the time of diagnosis

The diagnosis was made more than 2 years after the first reported complaint. A phenotype of cognitive biparietal dysfunction (visuospatial deficit, dyspraxia, dysgraphia, logopenic aphasia and deficit of auditory-verbal short term memory [2, 9]) was the most common, observed in 55% and 64% of young-AD patients with and without burnout (see Table 1). The comparisons of the neuropsychological scores between young-AD, old-AD, and, respectively, young and old controls are detailed in Table 2. Young-AD patients presented with a more severe cognitive impairment, a greater loss of autonomy assessed by the Clinical Dementia Rating (CDR) scale (40% of young-AD patients had a CDR ≥ 1 versus 10% in old-AD patients), and less anosognosia compared to old-AD. No clinical or neuropsychological difference was observed between young-AD with and without an initial burnout, except for educational level, which tended to be higher in the former (Table 2).

Table 2.

Neuropsychological assessment in young-AD presenting with and without an initial burnout like syndrome (BO), old-AD, young and old controls (YC, OC)

Old-AD (n = 30) YC (n = 16) OC (n = 28) P (cdr)°
Young-AD (n = 66)
BO (n = 21) No BO (n = 45)
Age (years) 55.1 (6.6) 57.8 (3.9) 74.2 (4.8) 53.8 (10) 71 (4.1) < 0.001
Age of onset 52.62 (6.4) 54.5 (4.1) 71.5 (4.8) NA NA < 0.001
Educational level# 2–3 4.7% (n = 1) 24.4% (n = 11) NA NA NA
3–4 14.3% (n = 3) 26.6% (n = 12) NA NA NA
5–6 81% (n = 17) 50% (n = 22) NA NA NA
History of depression 4.8% (n = 1) 6.7% (n = 3) NA NA NA
Neuropsychological assessment
 CDR 0.5 76.2% (n = 16) 51.1% (n = 23) 90% NA NA 0.007
≥ 1 23.8% (n = 5) 48.9% (n = 22) 10% NA NA
 Global cognitive efficiency MMSE 20.1 (4.1) 17.3 (5.8) 24 (3.7) 29.2 (1.1)** 29.2 (0.8)** < 0.001
Spatiotemporal orientation 7.3 (1.9) 6.3 (2.8) 8.0 (2.5) 9.9 (0.3)** 9.9 (0.3)** 0.12
 Episodic Memory FCSRT Immediate recall (16) 8.2 (5.2) 8.4 (4.4) 11.9 (3.5) 15.7 (0.5)** 15.8 (0.5)** 0.002
FCSRT Free recall (48) 13.9 (12.4) 12.1 (9.7) 12.6 (7) 34.3 (4.9)** 32.6 (4)** 0.07
FCSRT Total recall (48) 27.7 (15.3) 26.4 (13.5) 29.4 (13) 47.5 (0.7)** 47.3 (1)** 0.5
ROCF recall (36) 6.2 (3) 8.2 (7.1) 8.1 (8) 19.4 (5.1)** 19.4 (6)** 0.8
 Attention and working memory Verbal backward digit span 5 (1.2) 4.4 (1.3) 5.3 (0.9) 6.5 (0.9)** 5.9 (1.3) 0.023
Verbal forward digit span 2.8 (0.8) 2.4 (1.1) 4 (1.1) 4.7 (1.1)** 4.8 (1.2)* < 0.001
Visual backward digit span 3.4 (1.8) 3.1 (1.5) 4.5 (1.3) NA NA 0.15
Visual forward digit span 2.7 (1.2) 2.3 (1.7) 3.5 (1.6) NA NA 0.001
 Executive functions Literal Verbal fluency (2 min) 14.5 (9.3) 9.1 (13.9) 16.5 (8.2) 36.7 (7.6)** 35.2 (10)** 0.02
Categorial Verbal fluency (2 min) 18.2 (9.6) 13.9 (6.3) 21.9 (7.6) 25.5 (8.3)** 24.3 (7.3)** 0.003
TMTB-A 111.6 (54.9) 154.3 (72.8) 103.3 (76) 36.3 (23.5)** 40.6 (24.9)** 0.15
 Instrumental functions Kinesthetic praxies 21.4 (7.7) 21.6 (8.1) 26.1 (5.2) NA NA 0.059
Ideomotor praxis (without signification) 20 (10.2) 20.6 (10.6) 27.1 (5.6) 29.6 (0.5)** 28.9 (1.4)** 0.017
Ideomotor praxis (action mimic) 23.4 (7.5) 24.8 (6.5) 27.5 (5) NA NA 0.18
Naming (80) 34.4 (5.6) 30.5 (9.3) 37.7 (7.4) 40 (0)** 28.9 (1.4) 0.007
Copy of the Rey figure (36) 20.5 (15.4) 30.1 (12) 34.4 (1.3) 34.6 (2.1)** 59.2 (1.7) 0.008
 Anosognosia Functional/social & 7.7 (27) 25 (26) NA NA 0.01
Memory && 9.6 (21) 20 (24) NA NA 0.1

Data are mean (SD). *p < 0.05 and **p < 0.001, in comparison with controls

p (cdr)° comparison between young-AD and old-AD adjusted with CDR score

With Prof. act.: with professional activity

CDR Clinical Dementia Rating Scale, FCSRT Free and Cued Selective Reminding test, ROCF Rey-Osterrieth Complex Figure, TMT Trail Making test (A and B)

#Educational level was quoted as follows: 1, no diploma; 2–3, 5 years of scholarship; 4–5, from 9 to 12 years of education; 6–7, more than 12 years of education

&Difference between the score of the Cambridge Battery Inventory (CBI) assessed by the caregiver and by the patient. &&Difference between the score of the Mac Nair scale assessed by the caregiver and by the patient

Discussion

Young-AD is the most common early-onset neurodegenerative disease and presents less commonly with memory deficits and more frequently with focal cortical dysfunction, which makes the diagnosis challenging. In our cohort, 68% of the young-AD patients (younger than 62 years) had a purely cognitive initial complaint and were referred primarily to a neurologist. Interestingly, in a third of our young-AD patients, the initial complaint was atypical and led to the initial diagnosis of a burnout syndrome. Among the young-AD patients with a professional activity (70%), a burnout-like syndrome was the first diagnosis in almost half of the cases. These patients had an inability to carry out concurrent professional tasks, leading to a reduction of professional efficacy and a severe anxiety, in the absence of overt language, memory, gestural, visuo-spatial disorders, or other neurological signs. They were conscious of their difficulties and tried to compensate, which led to work overload, mental exhaustion, and personal depreciation. Their relatives did not report any specific cognitive abnormality. Most of these patients were treated by a psychiatrist during several months, before being referred to a neurologist. It is crucial to detect this type of situation as early as possible, in order to offer the most appropriate care, such as specific medication, rehabilitation, and adaptation of the workspace when possible, and also to avoid the prescription of contraindicated treatment such as anticholinergic antidepressants.

As expected, in old-AD patients, the initial complaint was about memory (87%), or language, with a lack of words (13%).

The time between the first symptoms and the first neuropsychological assessment was more than 2 years, without any significant difference between old-AD and young-AD. A greater delay of diagnosis in young-AD than old-AD has however been reported previously, [13] but could not be attributed to anosognosia, which is less pronounced in young-AD patients.

Young-AD presented with a more severe cognitive impairment at diagnosis compared to old-AD, especially with regard to instrumental functions (language, gestural praxis, visuo-spatial abilities), and working memory, resulting in a greater loss of autonomy and lower MMSE scores.

Compared to old-AD, neuroimaging studies showed that young-AD patients may have a relative preservation of hippocampal volume and a predominant parietal atrophy, [3, 4] with a more severe parietal hypometabolism, [14] which is congruent with a greater percentage of atypical presentations in these young patients. The extent and distribution of tau pathology measured by PET also differed between young-AD and old-AD, with tau aggregation in widespread neocortical regions (prefrontal and parietal cortex) in young-AD while the pattern of tau deposition was more confined to the temporal regions in old-AD [5].

Burnout-like syndrome could be due to an early alteration of the fronto-parietal connectivity. MRI studies suggest that functional connectivity changes differ in young-AD and old-AD, young-AD being mainly driven by an early involvement of fronto-parietal networks [15]. Fronto-parietal circuit alterations contribute to impairments in central executive network, top-down attentional control, and working memory [16]. Progressive changes of neural networks are present before neuronal loss and regional atrophy [17] and could contribute to the occurrence of burnout-like syndromes before the onset of more classic cortical cognitive signs. The hypotheses regarding the anatomical underpinnings of the burnout-like syndrome in these patients will need to be tested in dedicated studies including imaging data.

Limitations

The present study has some limitations, particularly its retrospective nature. This is however inherent to the data studied, which can only be collected retrospectively. In order to limit selection bias, the patient’s initial complaint was collected by two neurologists blind to each other, whose interpretations were all congruent.

Conclusions

Early symptoms like occupational burnout-like syndrome could be under-recognized in young-AD and could possibly be underlain by a working memory deficit. It is crucial to consider and further study these early symptoms to avoid delayed diagnosis, which often impacts the quality of patients’ care and compromises their chances of participating in therapeutic trials, due to already advanced cognitive and functional alteration at the time of diagnosis.

Acknowledgements

Not applicable.

Abbreviations

AD

Alzheimer’s disease

CSF

Cerebrospinal fluid

CDR

Clinical Dementia Rating

Authors’ contributions

VH and EGG participated in data acquisition. PO and LH analyzed the data and drafted the manuscript for intellectual content. MS and JL designed and conceptualized study, analyzed the data and drafted the manuscript for intellectual content. CRJ interpreted the data and revised the manuscript for intellectual content. All authors read and approved the final version of the manuscript.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Availability of data and materials

The dataset used during the current study is available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participate

In accordance with the French legislation, patients for whom clinical and CSF data were generated during routine clinical workup and their relatives were informed that individual data could be used in clinical research studies and they signed a specific consent form (MA-D20-R56 study).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Pauline Olivieri and Lorraine Hamelin contributed equally to this work.

Contributor Information

Pauline Olivieri, Email: p.olivieri@ghu-paris.fr, Email: paulineolivieri@hotmail.fr.

Lorraine Hamelin, Email: l.hamelin@ghu-paris.fr.

Julien Lagarde, Email: j.lagarde@ghu-paris.fr.

Valérie Hahn, Email: v.hahn@ghu-paris.fr.

Elodie Guichart-Gomez, Email: e.guichart-gomez@ghu-paris.fr.

Carole Roué-Jagot, Email: c.roue-jagot@ghu-paris.fr.

Marie Sarazin, Email: m.sarazin@ghu-paris.fr.

References

  • 1.Mendez MF. Early-onset Alzheimer disease. Neurol Clin. 2017;35(2):263–281. doi: 10.1016/j.ncl.2017.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Koedam ELGE, Lauffer V, van der Vlies AE, van der Flier WM, Scheltens P, Pijnenburg YAL. Early-versus late-onset Alzheimer’s disease: more than age alone. J Alzheimers Dis JAD. 2010;19(4):1401–1408. doi: 10.3233/JAD-2010-1337. [DOI] [PubMed] [Google Scholar]
  • 3.Hamelin L, Bertoux M, Bottlaender M, Corne H, Lagarde J, Hahn V, Mangin JF, Dubois B, Chupin M, de Souza LC, Colliot O, Sarazin M. Sulcal morphology as a new imaging marker for the diagnosis of early onset Alzheimer’s disease. Neurobiol Aging. 2015;36(11):2932–2939. doi: 10.1016/j.neurobiolaging.2015.04.019. [DOI] [PubMed] [Google Scholar]
  • 4.Ossenkoppele R, Cohn-Sheehy BI, La Joie R, Vogel JW, Möller C, Lehmann M, et al. Atrophy patterns in early clinical stages across distinct phenotypes of Alzheimer’s disease. Hum Brain Mapp. 2015;36(11):4421–4437. doi: 10.1002/hbm.22927. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Schöll M, Ossenkoppele R, Strandberg O, Palmqvist S, Swedish BioFINDER study, Jögi J, et al. Distinct 18F-AV-1451 tau PET retention patterns in early- and late-onset Alzheimer’s disease. Brain J Neurol 2017;140:2286–2294, 9, doi: 10.1093/brain/awx171. [DOI] [PubMed]
  • 6.WHO. World Health Organisation, 2019. Burn-out an “occupational phenomenon”: international classification of Diseases. 2019. Retrieved from. https://www.who.int/mental_health/%20evidence/burn-out/en/. 2019.
  • 7.Wear HJ, Wedderburn CJ, Mioshi E, Williams-Gray CH, Mason SL, Barker RA, Hodges JR. The Cambridge Behavioural Inventory revised. Dement Neuropsychol. 2008;2(2):102–107. doi: 10.1590/S1980-57642009DN20200005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Dubois B, Feldman HH, Jacova C, Hampel H, Molinuevo JL, Blennow K, DeKosky ST, Gauthier S, Selkoe D, Bateman R, Cappa S, Crutch S, Engelborghs S, Frisoni GB, Fox NC, Galasko D, Habert MO, Jicha GA, Nordberg A, Pasquier F, Rabinovici G, Robert P, Rowe C, Salloway S, Sarazin M, Epelbaum S, de Souza LC, Vellas B, Visser PJ, Schneider L, Stern Y, Scheltens P, Cummings JL. Advancing research diagnostic criteria for Alzheimer’s disease: the IWG-2 criteria. Lancet Neurol. 2014;13(6):614–629. doi: 10.1016/S1474-4422(14)70090-0. [DOI] [PubMed] [Google Scholar]
  • 9.Ross SJ, Graham N, Stuart-Green L, Prins M, Xuereb J, Patterson K, Hodges JR. Progressive biparietal atrophy: an atypical presentation of Alzheimer’s disease. J Neurol Neurosurg Psychiatry. 1996;61(4):388–395. doi: 10.1136/jnnp.61.4.388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Gorno-Tempini ML, Hillis AE, Weintraub S, Kertesz A, Mendez M, Cappa SF, Ogar JM, Rohrer JD, Black S, Boeve BF, Manes F, Dronkers NF, Vandenberghe R, Rascovsky K, Patterson K, Miller BL, Knopman DS, Hodges JR, Mesulam MM, Grossman M. Classification of primary progressive aphasia and its variants. Neurology. 2011;76(11):1006–1014. doi: 10.1212/WNL.0b013e31821103e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Benson DF, Davis RJ, Snyder BD. Posterior cortical atrophy. Arch Neurol. 1988;45(7):789–793. doi: 10.1001/archneur.1988.00520310107024. [DOI] [PubMed] [Google Scholar]
  • 12.Crutch SJ, Schott JM, Rabinovici GD, Murray M, Snowden JS, van der Flier WM, Dickerson BC, Vandenberghe R, Ahmed S, Bak TH, Boeve BF, Butler C, Cappa SF, Ceccaldi M, de Souza LC, Dubois B, Felician O, Galasko D, Graff-Radford J, Graff-Radford NR, Hof PR, Krolak-Salmon P, Lehmann M, Magnin E, Mendez MF, Nestor PJ, Onyike CU, Pelak VS, Pijnenburg Y, Primativo S, Rossor MN, Ryan NS, Scheltens P, Shakespeare TJ, Suárez González A, Tang-Wai DF, Yong KXX, Carrillo M, Fox NC, Alzheimer's Association ISTAART Atypical Alzheimer's Disease and Associated Syndromes Professional Interest Area Consensus classification of posterior cortical atrophy. Alzheimers Dement J Alzheimers Assoc. 2017;13(8):870–884. doi: 10.1016/j.jalz.2017.01.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.van Vliet D, de Vugt ME, Bakker C, YAL P, MJFJ V-D, RTCM K, et al. Time to diagnosis in young-onset dementia as compared with late-onset dementia. Psychol Med. 2013;43:423–432. doi: 10.1017/S0033291712001122. [DOI] [PubMed] [Google Scholar]
  • 14.Kim EJ, Cho SS, Jeong Y, Park KC, Kang SJ, Kang E, Kim SE, Lee KH, Na DL. Glucose metabolism in early onset versus late onset Alzheimer’s disease: an SPM analysis of 120 patients. Brain J Neurol. 2005;128(8):1790–1801. doi: 10.1093/brain/awh539. [DOI] [PubMed] [Google Scholar]
  • 15.Gour N, Felician O, Didic M, Koric L, Gueriot C, Chanoine V, Confort-Gouny S, Guye M, Ceccaldi M, Ranjeva JP. Functional connectivity changes differ in early and late-onset Alzheimer’s disease. Hum Brain Mapp. 2014;35(7):2978–2994. doi: 10.1002/hbm.22379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Neufang S, Akhrif A, Riedl V, Förstl H, Kurz A, Zimmer C, Sorg C, Wohlschläger AM. Disconnection of frontal and parietal areas contributes to impaired attention in very early Alzheimer’s disease. J Alzheimers Dis JAD. 2011;25(2):309–321. doi: 10.3233/JAD-2011-102154. [DOI] [PubMed] [Google Scholar]
  • 17.Brier MR, Thomas JB, Fagan AM, Hassenstab J, Holtzman DM, Benzinger TL, Morris JC, Ances BM. Functional connectivity and graph theory in preclinical Alzheimer’s disease. Neurobiol Aging. 2014;35(4):757–768. doi: 10.1016/j.neurobiolaging.2013.10.081. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The dataset used during the current study is available from the corresponding author on reasonable request.


Articles from Alzheimer's Research & Therapy are provided here courtesy of BMC

RESOURCES