Brain age as a biomarker for pathological versus healthy ageing - a REMEMBER study.

OBJECTIVES: This study aimed to evaluate the potential clinical value of a new brain age prediction model as a single interpretable variable representing the condition of our brain. Among many clinical use cases, brain age could be a novel outcome measure to assess the preventive effect of life-style interventions. METHODS: The REMEMBER study population (N = 742) consisted of cognitively healthy (HC,N = 91), subjective cognitive decline (SCD,N = 65), mild cognitive impairment (MCI,N = 319) and AD dementia (ADD,N = 267) subjects. Automated brain volumetry of global, cortical, and subcortical brain structures computed by the CE-labeled and FDA-cleared software icobrain dm (dementia) was retrospectively extracted from T1-weighted MRI sequences that were acquired during clinical routine at participating memory clinics from the Belgian Dementia Council. The volumetric features, along with sex, were combined into a weighted sum using a linear model, and were used to predict 'brain age' and 'brain predicted age difference' (BPAD = brain age-chronological age) for every subject. RESULTS: MCI and ADD patients showed an increased brain age compared to their chronological age. Overall, brain age outperformed BPAD and chronological age in terms of classification accuracy across the AD spectrum. There was a weak-to-moderate correlation between total MMSE score and both brain age (r = -0.38,p < .001) and BPAD (r = -0.26,p < .001). Noticeable trends, but no significant correlations, were found between BPAD and incidence of conversion from MCI to ADD, nor between BPAD and conversion time from MCI to ADD. BPAD was increased in heavy alcohol drinkers compared to non-/sporadic (p = .014) and moderate (p = .040) drinkers. CONCLUSIONS: Brain age and associated BPAD have the potential to serve as indicators for, and to evaluate the impact of lifestyle modifications or interventions on, brain health.

Diagnostic Performance of Automated MRI Volumetry by icobrain dm for Alzheimer's Disease in a Clinical Setting: A REMEMBER Study.

BACKGROUND: Magnetic resonance imaging (MRI) has become important in the diagnostic work-up of neurodegenerative diseases. icobrain dm, a CE-labeled and FDA-cleared automated brain volumetry software, has shown potential in differentiating cognitively healthy controls (HC) from Alzheimer's disease (AD) dementia (ADD) patients in selected research cohorts. OBJECTIVE: This study examines the diagnostic value of icobrain dm for AD in routine clinical practice, including a comparison to the widely used FreeSurfer software, and investigates if combined brain volumes contribute to establish an AD diagnosis. METHODS: The study population included HC (n = 90), subjective cognitive decline (SCD, n = 93), mild cognitive impairment (MCI, n = 357), and ADD (n = 280) patients. Through automated volumetric analyses of global, cortical, and subcortical brain structures on clinical brain MRI T1w (n = 820) images from a retrospective, multi-center study (REMEMBER), icobrain dm's (v.4.4.0) ability to differentiate disease stages via ROC analysis was compared to FreeSurfer (v.6.0). Stepwise backward regression models were constructed to investigate if combined brain volumes can differentiate between AD stages. RESULTS: icobrain dm outperformed FreeSurfer in processing time (15-30 min versus 9-32 h), robustness (0 versus 67 failures), and diagnostic performance for whole brain, hippocampal volumes, and lateral ventricles between HC and ADD patients. Stepwise backward regression showed improved diagnostic accuracy for pairwise group differentiations, with highest performance obtained for distinguishing HC from ADD (AUC = 0.914; Specificity 83.0%; Sensitivity 86.3%). CONCLUSION: Automated volumetry has a diagnostic value for ADD diagnosis in routine clinical practice. Our findings indicate that combined brain volumes improve diagnostic accuracy, using real-world imaging data from a clinical setting.

Disappearance of essential tremor after stroke.

Improvement of a patient's essential tremor (ET) after a stroke has rarely been reported. In such patients, cerebral imaging could help to identify structures involved in the maintenance of ET and improves the knowledge of its physiopathology. This article reports the disappearance of ET, after a stroke in 4 patients and reviews similar previously published cases. These cases suggest that the interruption of cerebellar loops during a stroke could be responsible for the disappearance of ET.

Practices and opinions about disclosure of the diagnosis of Alzheimer's disease to patients with MCI or dementia: a survey among Belgian medical experts in the field of dementia.

Previous surveys revealed that only a minority of clinicians routinely disclosed the diagnosis of Alzheimer's disease (AD) to their patients. Many health professionals fear that the disclosure could be harmful to the patient. Recent advances in the development of biomarkers and new diagnostic criteria allow for an earlier diagnosis of AD at the mild cognitive impairment (MCI) stage. The Belgian Dementia Council, a group of Belgian experts in the field of dementia, performed a survey among its 44 members about their opinions and practices regarding disclosure of the diagnosis of AD, including MCI due to AD, and its consequences. Twenty-six respondents declared that they often or always disclose the diagnosis of AD to patients with dementia and to patients with MCI when AD CSF biomarkers are abnormal. The majority observed that the disclosure of AD is rarely or never harmful to the patients. Their patients and their caregivers rarely or never demonstrated animosity towards the clinicians following disclosure of the diagnosis of AD. These results should reassure clinicians about the safety of AD diagnosis disclosure in most cases whether the patient is at the MCI or the dementia stage.

Early detection of Alzheimer's disease: new diagnostic criteria.

There has been unprecedented growth of scientific knowledge about Alzheimer's disease (AD). The description of distinctive and reliable biomarkers that are now available through structural brain imaging with magnetic resonance imaging, molecular neuroimaging with positron emission tomography, and cerebrospinal fluid analyses, and a better definition of the clinical profile of amnestic disorders that occur early in the course of the disease, make it possible to identify AD with high accuracy, even in the early stages of the disease. Accordingly, new criteria for the diagnosis have been proposed that capture both the prodromal and the more advanced dementia stages of the disease in the same diagnostic framework.

Dementia, End of Life, and Euthanasia: A Survey Among Dementia Specialists Organized by the Belgian Dementia Council.

BACKGROUND: Palliative care and Advance Care Planning (ACP) are increasingly recommended for an optimal management of late-stage dementia. In Belgium, euthanasia has been decriminalized in 2002 for patients who are "mentally competent" (interpreted as non-demented). It has been suggested that advance directives for euthanasia (ADE) should be made possible for dementia patients. OBJECTIVE: This study presents the results of an internet survey among Belgian dementia specialists. METHODS: In 2013, the Belgian Dementia Council (BeDeCo) organized a debate on end of life decisions in dementia. Participants were medical doctors who are specialists in the dementia field. After the debate, an anonymous internet survey was organized. The participation rate was 55%. The sample was representative of the BeDeCo members. RESULTS: The results showed consensus in favor of palliative care and ACP, although ACP is not systematically addressed in practice. Few patients with dementia have requested euthanasia, but for those who did the participants had agreed to implement it for some patients. A majority of participants (94%) believe that most patients and their families are poorly informed about euthanasia. Although most participants (77%) said they approved the Law on euthanasia, 65% said they were against an extension of the Law to allow ADE for dementia. CONCLUSION: Palliative care and ACP are clearly accepted by professionals, although a gap between recommendation and practice remain. Euthanasia is a much more debated issue, even if a majority of professionals are, in principle, in favor of the current Law and seem to disapprove with a Law change allowing ADE for dementia. A better education for both health professionals and the lay public will be a key element in the future.

A Retrospective Belgian Multi-Center MRI Biomarker Study in Alzheimer's Disease (REMEMBER).

BACKGROUND: Magnetic resonance imaging (MRI) acquisition/processing techniques assess brain volumes to explore neurodegeneration in Alzheimer's disease (AD). OBJECTIVE: We examined the clinical utility of MSmetrix and investigated if automated MRI volumes could discriminate between groups covering the AD continuum and could be used as a predictor for clinical progression. METHODS: The Belgian Dementia Council initiated a retrospective, multi-center study and analyzed whole brain (WB), grey matter (GM), white matter (WM), cerebrospinal fluid (CSF), cortical GM (CGM) volumes, and WM hyperintensities (WMH) using MSmetrix in the AD continuum. Baseline (n = 887) and follow-up (FU, n = 95) T1-weighted brain MRIs and time-linked neuropsychological data were available. RESULTS: The cohort consisted of cognitively healthy controls (HC, n = 93), subjective cognitive decline (n = 102), mild cognitive impairment (MCI, n = 379), and AD dementia (n = 313). Baseline WB and GM volumes could accurately discriminate between clinical diagnostic groups and were significantly decreased with increasing cognitive impairment. MCI patients had a significantly larger change in WB, GM, and CGM volumes based on two MRIs (n = 95) compared to HC (FU>24months, p = 0.020). Linear regression models showed that baseline atrophy of WB, GM, CGM, and increased CSF volumes predicted cognitive impairment. CONCLUSION: WB and GM volumes extracted by MSmetrix could be used to define the clinical spectrum of AD accurately and along with CGM, they are able to predict cognitive impairment based on (decline in) MMSE scores. Therefore, MSmetrix can support clinicians in their diagnostic decisions, is able to detect clinical disease progression, and is of help to stratify populations for clinical trials.

Alzheimer's disease and driving: review of the literature and consensus guideline from Belgian dementia experts and the Belgian road safety institute endorsed by the Belgian Medical Association.

Alzheimer's disease (AD) is a highly prevalent condition and its prevalence is expected to further increase due to the aging of the general population. It is obvious that the diagnosis of AD has implications for driving. Finally, driving discussions are also emotionally charged because driving is associated with independence and personal identity. However, it is not clear how to implement this in clinical practice and the Belgian law on driving is rather vague in its referral to neurodegenerative brain diseases in general nor does it provide clear-cut instructions for dementia or AD compared to for example driving for patients with epilepsy and as such does not prove to be very helpful. The present article reviews what is known from both literature and existing guidelines and proposes a consensus recommendation tailored to the Belgian situation agreed by both AD experts and the Belgian Road Safety Institute endorsed by the Belgian Medical Association. It is concluded that the decision about driving fitness should be considered as a dynamic process where the driving fitness is assessed and discussed early after diagnosis and closely monitored by the treating physician. The diagnosis of AD on itself definitely does not imply the immediate and full revocation of a driving license nor does it implicate a necessary referral for a formal on-road driving assessment. There is no evidence to recommend a reduced exposure or a mandatory co-pilot. A MMSE-based framework to trichotomise AD patients as safe, indeterminate or unsafe is presented. The final decision on driving fitness can only be made after careful history taking and clinical examination, neuropsychological, functional and behavioral evaluation and, only for selected cases, a formal assessment of driving performance.

Clinical utility and applicability of biomarker-based diagnostic criteria for Alzheimer's disease: a BeDeCo survey.

We conducted a survey regarding the medical care of patients with dementia in expert settings in Belgium. Open, unrestricted and motivated answers were centralized, blindly interpreted and structured into categories. The report of the results was then submitted to the participants in subsequent plenary meetings and through email. Fourteen experts responded to the questionnaire, confirming that recent propositions to modify Alzheimer's disease (AD) diagnostic criteria and options have stirred up debate among well-informed and dedicated experts in the field. The opinions were not unanimous and illustrate how difficult it is to find a standardized method of diagnosing this disease. The responses to the survey suggest that application of a step-by-step pragmatic method is used in practice. Only when the combination of clinical findings and classical structural neuro-imaging is insufficient for a diagnosis or suggests an atypical presentation, additional biomarkers are considered. Interestingly, few differences, if any, were observed between the use of biomarkers in MCI and in AD. In conclusion, the Belgian experts consulted in this survey were generally in agreement with the new diagnostic criteria for AD, although some concern was expressed about them being too "amyloidocentric". Although the clinical examination, including a full neuropsychological evaluation, is still considered as the basis for diagnosis, most experts also stated that they use biomarkers to help with diagnosis.