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Krishnadas N, Chew M, Sutherland A, Christensen M, Rogers KA, Kyndt C, Islam F, Darby DG, Brodtmann A. Frontotemporal Dementia Differential Diagnosis in Clinical Practice: A Single-Center Retrospective Review of Frontal Behavioral Referrals. Neurol Clin Pract 2025; 15:e200360. [PMID: 39399558 PMCID: PMC11464228 DOI: 10.1212/cpj.0000000000200360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 06/04/2024] [Indexed: 10/15/2024]
Abstract
Background and Objectives Many neurodegenerative syndromes present with impairment of frontal networks, especially frontoinsular networks affecting social and emotional cognition. People presenting with frontal network impairments may be considered for a frontotemporal dementia (FTD) diagnosis. We sought to examine the diagnostic mix of patients referred with frontal network impairments to a single cognitive neurology service. Methods A retrospective review was conducted of all patients seen between January 2010 and December 2019 at the Eastern Cognitive Disorders Clinic, a quaternary cognitive neurology clinic in Melbourne, Australia. Patients were included if they met the following criteria: (1) were referred for suspected FTD or with a preexisting diagnosis of a FTD syndrome, (2) were referred for 'frontal behaviors' (i.e., disinhibition, disorganization, poor judgment, loss of empathy, apathy) and/or had an informant report of behavior change, and (3) had available referral documents and clinical consensus diagnosis. Referral diagnosis was compared against final diagnosis adjudicated by a consensus multidisciplinary team. Case details including age of symptom onset, Cambridge Behavioural Inventory-Revised scores, psychiatric history, and Charlson Comorbidity Index were compared against the final diagnosis. Results In total, 161 patients aged 42-82 years (mean = 64.5, SD = 9.0; 74.5% men) met inclusion criteria. The commonest final diagnosis was a FTD syndrome (44.6%: 26.7% behavioral variant FTD (bvFTD), 9.3% progressive supranuclear palsy, 6.2% semantic dementia, 1.2% corticobasal syndrome, and 1.2% FTD/motor neuron disease). A primary psychiatric disorder (PPD) was the next commonest diagnosis (15.5%), followed by vascular cognitive impairment (VCI, 10.6%), Alzheimer disease (AD, 9.9%), and other neurologic diagnoses (6.2%). A final diagnosis of bvFTD was associated with higher rates of medical comorbidities and more eating behavior abnormalities compared with a diagnosis of PPD. Screening cognitive tests and preexisting psychiatric history did not distinguish these 2 groups. Discussion A broad spectrum of neurologic and psychiatric disorders may present with impairments to frontal networks. Almost half of patients referred had a final FTD syndrome diagnosis, with bvFTD the commonest final diagnosis. People with PPD, VCI, and AD present with similar clinical profiles but are distinguishable using MRI and FDG-PET imaging. Medical and psychiatric comorbidities are common in people with bvFTD.
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Affiliation(s)
- Natasha Krishnadas
- Eastern Cognitive Disorders Clinic (NK, AS, M. Christensen, KAR, CK, DGD, AB), Department of Neurosciences, Box Hill Hospital; Eastern Health Clinical School (NK, M. Christensen, DGD, AB); Alfred Health (M. Chew, M. Christensen, DGD, AB), Monash University, Melbourne; Austin Health (AS, AB), University of Melbourne, Heidelberg; Calvary Health Care Bethlehem (KAR), Caulfield; Wimmera Health Care Group (FI), Horsham; Central Clinical School (DGD, AB), Monash University, Melbourne; and Melbourne Health Cognitive Neurology Service (AB), Royal Melbourne Hospital, Parkville, Australia
| | - Marcia Chew
- Eastern Cognitive Disorders Clinic (NK, AS, M. Christensen, KAR, CK, DGD, AB), Department of Neurosciences, Box Hill Hospital; Eastern Health Clinical School (NK, M. Christensen, DGD, AB); Alfred Health (M. Chew, M. Christensen, DGD, AB), Monash University, Melbourne; Austin Health (AS, AB), University of Melbourne, Heidelberg; Calvary Health Care Bethlehem (KAR), Caulfield; Wimmera Health Care Group (FI), Horsham; Central Clinical School (DGD, AB), Monash University, Melbourne; and Melbourne Health Cognitive Neurology Service (AB), Royal Melbourne Hospital, Parkville, Australia
| | - Antony Sutherland
- Eastern Cognitive Disorders Clinic (NK, AS, M. Christensen, KAR, CK, DGD, AB), Department of Neurosciences, Box Hill Hospital; Eastern Health Clinical School (NK, M. Christensen, DGD, AB); Alfred Health (M. Chew, M. Christensen, DGD, AB), Monash University, Melbourne; Austin Health (AS, AB), University of Melbourne, Heidelberg; Calvary Health Care Bethlehem (KAR), Caulfield; Wimmera Health Care Group (FI), Horsham; Central Clinical School (DGD, AB), Monash University, Melbourne; and Melbourne Health Cognitive Neurology Service (AB), Royal Melbourne Hospital, Parkville, Australia
| | - Maja Christensen
- Eastern Cognitive Disorders Clinic (NK, AS, M. Christensen, KAR, CK, DGD, AB), Department of Neurosciences, Box Hill Hospital; Eastern Health Clinical School (NK, M. Christensen, DGD, AB); Alfred Health (M. Chew, M. Christensen, DGD, AB), Monash University, Melbourne; Austin Health (AS, AB), University of Melbourne, Heidelberg; Calvary Health Care Bethlehem (KAR), Caulfield; Wimmera Health Care Group (FI), Horsham; Central Clinical School (DGD, AB), Monash University, Melbourne; and Melbourne Health Cognitive Neurology Service (AB), Royal Melbourne Hospital, Parkville, Australia
| | - Kirrily A Rogers
- Eastern Cognitive Disorders Clinic (NK, AS, M. Christensen, KAR, CK, DGD, AB), Department of Neurosciences, Box Hill Hospital; Eastern Health Clinical School (NK, M. Christensen, DGD, AB); Alfred Health (M. Chew, M. Christensen, DGD, AB), Monash University, Melbourne; Austin Health (AS, AB), University of Melbourne, Heidelberg; Calvary Health Care Bethlehem (KAR), Caulfield; Wimmera Health Care Group (FI), Horsham; Central Clinical School (DGD, AB), Monash University, Melbourne; and Melbourne Health Cognitive Neurology Service (AB), Royal Melbourne Hospital, Parkville, Australia
| | - Christopher Kyndt
- Eastern Cognitive Disorders Clinic (NK, AS, M. Christensen, KAR, CK, DGD, AB), Department of Neurosciences, Box Hill Hospital; Eastern Health Clinical School (NK, M. Christensen, DGD, AB); Alfred Health (M. Chew, M. Christensen, DGD, AB), Monash University, Melbourne; Austin Health (AS, AB), University of Melbourne, Heidelberg; Calvary Health Care Bethlehem (KAR), Caulfield; Wimmera Health Care Group (FI), Horsham; Central Clinical School (DGD, AB), Monash University, Melbourne; and Melbourne Health Cognitive Neurology Service (AB), Royal Melbourne Hospital, Parkville, Australia
| | - Fariha Islam
- Eastern Cognitive Disorders Clinic (NK, AS, M. Christensen, KAR, CK, DGD, AB), Department of Neurosciences, Box Hill Hospital; Eastern Health Clinical School (NK, M. Christensen, DGD, AB); Alfred Health (M. Chew, M. Christensen, DGD, AB), Monash University, Melbourne; Austin Health (AS, AB), University of Melbourne, Heidelberg; Calvary Health Care Bethlehem (KAR), Caulfield; Wimmera Health Care Group (FI), Horsham; Central Clinical School (DGD, AB), Monash University, Melbourne; and Melbourne Health Cognitive Neurology Service (AB), Royal Melbourne Hospital, Parkville, Australia
| | - David G Darby
- Eastern Cognitive Disorders Clinic (NK, AS, M. Christensen, KAR, CK, DGD, AB), Department of Neurosciences, Box Hill Hospital; Eastern Health Clinical School (NK, M. Christensen, DGD, AB); Alfred Health (M. Chew, M. Christensen, DGD, AB), Monash University, Melbourne; Austin Health (AS, AB), University of Melbourne, Heidelberg; Calvary Health Care Bethlehem (KAR), Caulfield; Wimmera Health Care Group (FI), Horsham; Central Clinical School (DGD, AB), Monash University, Melbourne; and Melbourne Health Cognitive Neurology Service (AB), Royal Melbourne Hospital, Parkville, Australia
| | - Amy Brodtmann
- Eastern Cognitive Disorders Clinic (NK, AS, M. Christensen, KAR, CK, DGD, AB), Department of Neurosciences, Box Hill Hospital; Eastern Health Clinical School (NK, M. Christensen, DGD, AB); Alfred Health (M. Chew, M. Christensen, DGD, AB), Monash University, Melbourne; Austin Health (AS, AB), University of Melbourne, Heidelberg; Calvary Health Care Bethlehem (KAR), Caulfield; Wimmera Health Care Group (FI), Horsham; Central Clinical School (DGD, AB), Monash University, Melbourne; and Melbourne Health Cognitive Neurology Service (AB), Royal Melbourne Hospital, Parkville, Australia
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Selig M, Lee G, Lebowitz B, Franceschi D, Absar N. A Case of Personality and Behavioral Changes with Frontotemporal and Cerebellar Atrophy on MRI with Corresponding Hypometabolism on FDG-PET. Case Rep Psychiatry 2024; 2024:2863662. [PMID: 39188506 PMCID: PMC11347030 DOI: 10.1155/2024/2863662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 07/17/2024] [Accepted: 07/26/2024] [Indexed: 08/28/2024] Open
Abstract
Background The differential diagnosis of a patient with cognitive, behavioral, and motor symptoms is broad. There is much overlap between neurocognitive disorders due to frontotemporal dementia and other subcortical dementia. A less known diagnosis, cerebellar cognitive affective syndrome (CCAS), should also be considered. Case History. A 29-year-old female presented with ataxia and left-sided weakness. CSF showed oligoclonal bands, and MRI showed multiple white matter lesions with some atrophy. She was diagnosed with multiple sclerosis (MS). At age 35, she developed frontal lobe symptoms and executive dysfunction; she was diagnosed with MS with bipolar disorder. Neuropsychological evaluation at that time showed significant deficits in multiple cognitive domains. Subsequent MRI showed progressive frontotemporal atrophy, and FDG-PET uncovered hypometabolism in the frontotemporal lobes and cerebellum. At age 38, her behavior worsened with aggression, and she was started on olanzapine. She responded well with decreased agitation and improved motivation and attention. Compared with previous scans, most recent MRI and FDG-PET showed interval increase in cerebellar atrophy with increase in hypometabolism in the cerebellum, respectively. Conclusion Based on cerebellar, affective, and subcortical cognitive examination findings, our diagnosis is probable CCAS. The cerebellum should be considered as a possible etiology of frontal subcortical cognitive impairment.
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Affiliation(s)
- Megan Selig
- Department of NeuropsychiatryStony Brook University Renaissance School of Medicine, Stony Brook, NY, USA
| | - Gloria Lee
- Department of NeuropsychiatryStony Brook University Renaissance School of Medicine, Stony Brook, NY, USA
| | - Brian Lebowitz
- Department of NeuropsychiatryStony Brook University Renaissance School of Medicine, Stony Brook, NY, USA
| | - Dinko Franceschi
- Department of NeuropsychiatryStony Brook University Renaissance School of Medicine, Stony Brook, NY, USA
| | - Nicole Absar
- Neurocognitive ClinicMass General Brigham—Martha's Vineyard Hospital, Martha's Vineyard, MA, USA
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van Engelen MPE, Louwers P, Fieldhouse JLP, Gossink FT, de Boer SCM, Dols A, Scheltens P, Schouws SNTM, Pijnenburg YAL, Vijverberg EGB, Krudop WA. Social cognition differentiates phenocopy syndrome of behavioural variant frontotemporal dementia from behavioural variant frontotemporal dementia. Psychogeriatrics 2024; 24:741-751. [PMID: 38566489 DOI: 10.1111/psyg.13107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/22/2024] [Accepted: 02/25/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Patients displaying clinical features of behavioural variant of frontotemporal dementia (bvFTD) but lacking both neuroimaging abnormalities and clinical progression are considered to represent the phenocopy syndrome of bvFTD (phFTD). Extensive clinical overlap between early phase bvFTD and phFTD hampers diagnostic distinction. We aimed to assess the diagnostic value of clinician-rated, self-reported and caregiver-reported symptoms for clinical distinction between phFTD and bvFTD. METHODS There were 33 phFTD and 95 probable bvFTD patients included in the study (total N = 128). Clinician-rated, self-reported tests and caregiver-reported symptoms were compared between phFTD and bvFTD on social cognition, behaviour, mood and activities of daily living (ADL). Scores were compared between groups, followed by multiple logistic regression analysis, adjusted for age and sex. Receiver operating characteristic curves were plotted to assess diagnostic value. RESULTS Using clinician-rated and self-reported tests, phFTD patients performed better on facial emotion recognition and reported more depressive symptoms. Caregiver-reported behavioural symptoms indicated higher behavioural and ADL impairment in phFTD compared to bvFTD. Facial emotion recognition provided highest diagnostic accuracy for distinction of phFTD from bvFTD (area under the curve (AUC) 0.813 95% CI 0.735-0.892, P < 0.001, sensitivity 81%, specificity 74%) followed by depressive symptoms (AUC 0.769 95% 0.674-0.864, P < 0.001 sensitivity 81%, specificity of 63%). CONCLUSION Social cognition tests are most suitable for distinction of phFTD from bvFTD. Caregiver-reported questionnaires and phFTD diagnosis seemed inversely correlated, showing more symptoms in phFTD. Further research is needed on phFTD aetiology and in caregivers taking into account disease burden to assess what explains this discrepancy between clinician-rated and caregiver-based tools.
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Affiliation(s)
- Marie-Paule E van Engelen
- Alzheimer Centre Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Paulette Louwers
- Alzheimer Centre Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Jay L P Fieldhouse
- Alzheimer Centre Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Flora T Gossink
- Reinier van Arkel, Jeroen Bosch Hospital, Hospital and Geriatric Psychiatric Centre, Den Bosch, The Netherlands
| | - Sterre C M de Boer
- Alzheimer Centre Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- The University of Sydney, School of Psychology, Sydney, New South Wales, Australia
| | - Annemieke Dols
- Department of Psychiatry, University Medical Centre Utrecht, Utrecht, The Netherlands
- Department of Psychiatry, Amsterdam Neuroscience, Mood Anxiety Psychosis Sleep & Stress Program, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Centre Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- EQT Life Sciences Partners, Amsterdam, The Netherlands
| | - Sigfried N T M Schouws
- Department of Old Age Psychiatry and Neuropsychiatry, GGZ inGeest Specialised Mental Health Care, Location De Nieuwe Valerius, Amsterdam, The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Psychiatry, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Mental Health, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Centre Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Everard G B Vijverberg
- Alzheimer Centre Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Welmoed A Krudop
- Alzheimer Centre Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Department of Old Age Psychiatry and Neuropsychiatry, GGZ inGeest Specialised Mental Health Care, Location De Nieuwe Valerius, Amsterdam, The Netherlands
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Cotta Ramusino M, Massa F, Festari C, Gandolfo F, Nicolosi V, Orini S, Nobili F, Frisoni GB, Morbelli S, Garibotto V. Diagnostic performance of molecular imaging methods in predicting the progression from mild cognitive impairment to dementia: an updated systematic review. Eur J Nucl Med Mol Imaging 2024; 51:1876-1890. [PMID: 38355740 DOI: 10.1007/s00259-024-06631-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 01/27/2024] [Indexed: 02/16/2024]
Abstract
PURPOSE Epidemiological and logistical reasons are slowing the clinical validation of the molecular imaging biomarkers in the initial stages of neurocognitive disorders. We provide an updated systematic review of the recent advances (2017-2022), highlighting methodological shortcomings. METHODS Studies reporting the diagnostic accuracy values of the molecular imaging techniques (i.e., amyloid-, tau-, [18F]FDG-PETs, DaT-SPECT, and cardiac [123I]-MIBG scintigraphy) in predicting progression from mild cognitive impairment (MCI) to dementia were selected according to the Preferred Reporting Items for a Systematic Review and Meta-Analysis (PRISMA) method and evaluated with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Main eligibility criteria were as follows: (1) ≥ 50 subjects with MCI, (2) follow-up ≥ 3 years, (3) gold standard: progression to dementia or diagnosis on pathology, and (4) measures of prospective accuracy. RESULTS Sensitivity (SE) and specificity (SP) in predicting progression to dementia, mainly to Alzheimer's dementia were 43-100% and 63-94% for [18F]FDG-PET and 64-94% and 48-93% for amyloid-PET. Longitudinal studies were lacking for less common disorders (Dementia with Lewy bodies-DLB and Frontotemporal lobe degeneration-FTLD) and for tau-PET, DaT-SPECT, and [123I]-MIBG scintigraphy. Therefore, the accuracy values from cross-sectional studies in a smaller sample of subjects (n > 20, also including mild dementia stage) were chosen as surrogate outcomes. DaT-SPECT showed 47-100% SE and 71-100% SP in differentiating Lewy body disease (LBD) from non-LBD conditions; tau-PET: 88% SE and 100% SP in differentiating DLB from Posterior Cortical Atrophy. [123I]-MIBG scintigraphy differentiated LBD from non-LBD conditions with 47-100% SE and 71-100% SP. CONCLUSION Molecular imaging has a moderate-to-good accuracy in predicting the progression of MCI to Alzheimer's dementia. Longitudinal studies are sparse in non-AD conditions, requiring additional efforts in these settings.
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Affiliation(s)
- Matteo Cotta Ramusino
- Unit of Behavior Neurology and Dementia Research Center, IRCCS Mondino Foundation, via Mondino 2, 27100, Pavia, Italy.
| | - Federico Massa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Cristina Festari
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli, Brescia, Italy
| | - Federica Gandolfo
- Department of Geriatric Care, Orthogeriatrics and Rehabilitation, E.O. Galliera Hospital, Genoa, Italy
| | - Valentina Nicolosi
- UOC Neurologia Ospedale Magalini Di Villafranca Di Verona (VR) ULSS 9, Verona, Italy
| | - Stefania Orini
- Alzheimer's Unit-Memory Clinic, IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli, Brescia, Italy
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Flavio Nobili
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
- Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University and University Hospitals, Geneva, Switzerland
| | - Silvia Morbelli
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Valentina Garibotto
- Division of Nuclear Medicine and Molecular Imaging, Diagnostic Department, University Hospitals of Geneva, Geneva, Switzerland
- NIMTLab, Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- CIBM Center for Biomedical Imaging, Geneva, Switzerland
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Flavell J, Nestor PJ. A systematic review of cognitive and behavioral tools to differentiate behavioral variant frontotemporal dementia from other conditions. PCN REPORTS : PSYCHIATRY AND CLINICAL NEUROSCIENCES 2024; 3:e210. [PMID: 38887313 PMCID: PMC11180949 DOI: 10.1002/pcn5.210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 03/26/2024] [Accepted: 05/18/2024] [Indexed: 06/20/2024]
Abstract
The behavioral variant of frontotemporal dementia (bvFTD) is thought to be the commonest clinical presentation of frontotemporal lobar degeneration and is predominantly characterized by changes in behavior. In patients lacking unequivocal biomarker evidence of frontotemporal neurodegeneration, the clinical diagnosis of bvFTD is often unstable. In response, we conducted a systematic review and critical appraisal of cognitive and behavioral tools that have sought to differentiate bvFTD from other conditions. A systematic literature review of PubMed, Scopus, and Web of Science was conducted on December 31, 2023 for cognitive and behavioral tools that differentiated bvFTD from other cohorts. Ninety-six studies were included. The quality appraisal of almost all studies was low and introduced a high risk of bias. The few studies that were of high quality had a prospective study design and recruited patients suspected (but not yet confirmed) to have bvFTD. These studies reported that behavioral tools (e.g., the Frontal Behavioral Inventory) and social cognition tests (e.g., the Ekman's Faces Test) had good test performance in differentiating bvFTD from a broad range of psychiatric and neurological conditions. Importantly, the review highlighted the extreme paucity of studies that have evaluated methods where, in Bayesian terms, there is genuine clinical uncertainty regarding a diagnosis of bvFTD. Most studies used healthy controls of typical Alzheimer's disease as comparators-groups that often have negligible pretest probability of bvFTD. In response, we propose a study design checklist for studies seeking to develop diagnostic algorithms in bvFTD research.
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Affiliation(s)
- Joshua Flavell
- The Queensland Brain InstituteThe University of QueenslandBrisbaneAustralia
- The Mater HospitalBrisbaneAustralia
- Metro North Hospital and Health ServiceBrisbaneAustralia
| | - Peter John Nestor
- The Queensland Brain InstituteThe University of QueenslandBrisbaneAustralia
- The Mater HospitalBrisbaneAustralia
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Fieldhouse JLP, van Paassen DN, van Engelen MPE, De Boer SCM, Hartog WL, Braak S, Schoonmade LJ, Schouws SNTM, Krudop WA, Oudega ML, Mutsaerts HJMM, Teunissen CE, Vijverberg EGB, Pijnenburg YAL. The pursuit for markers of disease progression in behavioral variant frontotemporal dementia: a scoping review to optimize outcome measures for clinical trials. Front Aging Neurosci 2024; 16:1382593. [PMID: 38784446 PMCID: PMC11112081 DOI: 10.3389/fnagi.2024.1382593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 04/16/2024] [Indexed: 05/25/2024] Open
Abstract
Behavioral variant frontotemporal dementia (bvFTD) is a neurodegenerative disorder characterized by diverse and prominent changes in behavior and personality. One of the greatest challenges in bvFTD is to capture, measure and predict its disease progression, due to clinical, pathological and genetic heterogeneity. Availability of reliable outcome measures is pivotal for future clinical trials and disease monitoring. Detection of change should be objective, clinically meaningful and easily assessed, preferably associated with a biological process. The purpose of this scoping review is to examine the status of longitudinal studies in bvFTD, evaluate current assessment tools and propose potential progression markers. A systematic literature search (in PubMed and Embase.com) was performed. Literature on disease trajectories and longitudinal validity of frequently-used measures was organized in five domains: global functioning, behavior, (social) cognition, neuroimaging and fluid biomarkers. Evaluating current longitudinal data, we propose an adaptive battery, combining a set of sensitive clinical, neuroimaging and fluid markers, adjusted for genetic and sporadic variants, for adequate detection of disease progression in bvFTD.
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Affiliation(s)
- Jay L. P. Fieldhouse
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
| | - Dirk N. van Paassen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
| | - Marie-Paule E. van Engelen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
| | - Sterre C. M. De Boer
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
| | - Willem L. Hartog
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
| | - Simon Braak
- Department of Psychiatry, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, Netherlands
| | | | - Sigfried N. T. M. Schouws
- Department of Psychiatry, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- GGZ inGeest Mental Health Care, Amsterdam, Netherlands
| | - Welmoed A. Krudop
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- GGZ inGeest Mental Health Care, Amsterdam, Netherlands
| | - Mardien L. Oudega
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
- Department of Psychiatry, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, Netherlands
- GGZ inGeest Mental Health Care, Amsterdam, Netherlands
| | - Henk J. M. M. Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
| | - Charlotte E. Teunissen
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
| | - Everard G. B. Vijverberg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
| | - Yolande A. L. Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands
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Manera AL, Dadar M, Ducharme S, Collins DL. VentRa: distinguishing frontotemporal dementia from psychiatric disorders. Brain Commun 2024; 6:fcae069. [PMID: 38510209 PMCID: PMC10953623 DOI: 10.1093/braincomms/fcae069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 11/21/2023] [Accepted: 02/26/2024] [Indexed: 03/22/2024] Open
Abstract
The volume of the lateral ventricles is a reliable and sensitive indicator of brain atrophy and disease progression in behavioural variant frontotemporal dementia. In this study, we validate our previously developed automated tool using ventricular features (known as VentRa) for the classification of behavioural variant frontotemporal dementia versus a mixed cohort of neurodegenerative, vascular and psychiatric disorders from a clinically representative independent dataset. Lateral ventricles were segmented for 1110 subjects-14 behavioural variant frontotemporal dementia, 30 other frontotemporal dementia, 70 Lewy body disease, 898 Alzheimer's disease, 62 vascular brain injury and 36 primary psychiatric disorder from the publicly accessible National Alzheimer's Coordinating Center dataset to assess the performance of VentRa. Using ventricular features to discriminate behavioural variant frontotemporal dementia subjects from primary psychiatric disorders, VentRa achieved an accuracy rate of 84%, a sensitivity rate of 71% and a specificity rate of 89%. VentRa was able to identify behavioural variant frontotemporal dementia from a mixed age-matched cohort (i.e. other frontotemporal dementia, Lewy body disease, Alzheimer's disease, vascular brain injury and primary psychiatric disorders) and to correctly classify other disorders as 'not compatible with behavioral variant frontotemporal dementia' with a specificity rate of 83%. The specificity rates against each of the other individual cohorts were 80% for other frontotemporal dementia, 83% for Lewy body disease, 83% for Alzheimer's disease, 84% for vascular brain injury and 89% for primary psychiatric disorders. VentRa is a robust and generalizable tool with potential usefulness for improving the diagnostic certainty of behavioural variant frontotemporal dementia, particularly for the differential diagnosis with primary psychiatric disorders.
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Affiliation(s)
- Ana L Manera
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Mahsa Dadar
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Psychiatry, Douglas Mental Health University Health Centre, McGill University, Montreal, QC H4H 1R3, Canada
| | - Simon Ducharme
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Psychiatry, Douglas Mental Health University Health Centre, McGill University, Montreal, QC H4H 1R3, Canada
| | - D Louis Collins
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
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Ducharme S, Pijnenburg Y, Rohrer JD, Huey E, Finger E, Tatton N. Identifying and Diagnosing TDP-43 Neurodegenerative Diseases in Psychiatry. Am J Geriatr Psychiatry 2024; 32:98-113. [PMID: 37741764 PMCID: PMC11270911 DOI: 10.1016/j.jagp.2023.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 08/02/2023] [Accepted: 08/24/2023] [Indexed: 09/25/2023]
Abstract
Neuropsychiatric symptoms (NPS) are common manifestations of neurodegenerative disorders and are often early signs of those diseases. Among those neurodegenerative diseases, TDP-43 proteinopathies are an increasingly recognized cause of early neuropsychiatric manifestations. TDP-43-related diseases include frontotemporal dementia (FTD), amyotrophic lateral sclerosis (ALS), and Limbic-Predominant Age-Related TDP-43 Encephalopathy (LATE). The majority of TDP-43-related diseases are sporadic, but a significant proportion is hereditary, with progranulin (GRN) mutations and C9orf72 repeat expansions as the most common genetic etiologies. Studies reveal that NPS can be the initial manifestation of those diseases or can complicate disease course, but there is a lack of awareness among clinicians about TDP-43-related diseases, which leads to common diagnostic mistakes or delays. There is also emerging evidence that TDP-43 accumulations could play a role in late-onset primary psychiatric disorders. In the absence of robust biomarkers for TDP-43, the diagnosis remains primarily based on clinical assessment and neuroimaging. Given the association with psychiatric symptoms, clinical psychiatrists have a key role in the early identification of patients with TDP-43-related diseases. This narrative review provides a comprehensive overview of the pathobiology of TDP-43, resulting clinical presentations, and associated neuropsychiatric manifestations to help guide clinical practice.
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Affiliation(s)
- Simon Ducharme
- Department of Psychiatry (SD), Douglas Mental Health University Institute, McGill University, Montreal, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada.
| | - Yolande Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience (YP), Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease (JDR), UCL Queen Square Institute of Neurology, London, UK
| | - Edward Huey
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Psychiatry (EH), Columbia University, New York, NY
| | - Elizabeth Finger
- London Health Sciences Centre Parkwood Institute (EF), London, ON, Canada
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de Boer SC, Riedl L, Fenoglio C, Rue I, Landin-Romero R, Matis S, Chatterton Z, Galimberti D, Halliday G, Diehl-Schmid J, Piguet O, Pijnenburg YA, Ducharme S. Rationale and Design of the "DIagnostic and Prognostic Precision Algorithm for behavioral variant Frontotemporal Dementia" (DIPPA-FTD) Study: A Study Aiming to Distinguish Early Stage Sporadic FTD from Late-Onset Primary Psychiatric Disorders. J Alzheimers Dis 2024; 97:963-973. [PMID: 38143357 PMCID: PMC10836537 DOI: 10.3233/jad-230829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/06/2023] [Indexed: 12/26/2023]
Abstract
BACKGROUND The behavioral variant of frontotemporal dementia (bvFTD) is very heterogeneous in pathology, genetics, and disease course. Unlike Alzheimer's disease, reliable biomarkers are lacking and sporadic bvFTD is often misdiagnosed as a primary psychiatric disorder (PPD) due to overlapping clinical features. Current efforts to characterize and improve diagnostics are centered on the minority of genetic cases. OBJECTIVE The multi-center study DIPPA-FTD aims to develop diagnostic and prognostic algorithms to help distinguish sporadic bvFTD from late-onset PPD in its earliest stages. METHODS The prospective DIPPA-FTD study recruits participants with late-life behavioral changes, suspect for bvFTD or late-onset PPD diagnosis with a negative family history for FTD and/or amyotrophic lateral sclerosis. Subjects are invited to participate after diagnostic screening at participating memory clinics or recruited by referrals from psychiatric departments. At baseline visit, participants undergo neurological and psychiatric examination, questionnaires, neuropsychological tests, and brain imaging. Blood is obtained to investigate biomarkers. Patients are informed about brain donation programs. Follow-up takes place 10-14 months after baseline visit where all examinations are repeated. Results from the DIPPA-FTD study will be integrated in a data-driven approach to develop diagnostic and prognostic models. CONCLUSIONS DIPPA-FTD will make an important contribution to early sporadic bvFTD identification. By recruiting subjects with ambiguous or prodromal diagnoses, our research strategy will allow the characterization of early disease stages that are not covered in current sporadic FTD research. Results will hopefully increase the ability to diagnose sporadic bvFTD in the early stage and predict progression rate, which is pivotal for patient stratification and trial design.
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Affiliation(s)
- Sterre C.M. de Boer
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, Australia
| | - Lina Riedl
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Chiara Fenoglio
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Ishana Rue
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Ramon Landin-Romero
- Faculty of Medicine and Health, School of Health Sciences & Brain and Mind Sciences, The University of Sydney, Sydney, Australia
| | - Sophie Matis
- Faculty of Medicine and Health, School of Health Sciences & Brain and Mind Sciences, The University of Sydney, Sydney, Australia
| | - Zac Chatterton
- Brain and Mind Centre and Faculty of Medicine and Health School of Medical Sciences, The University of Sydney, Camperdown, NSW, Australia
| | - Daniela Galimberti
- University of Milan, Milan, Italy
- Fondazione Ca’ Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Glenda Halliday
- School of Medical Sciences & Brain and Mind Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Janine Diehl-Schmid
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
- kbo-Inn-Salzach-Klinikum, Clinical Center for Psychiatry, Psychotherapy, Psychosomatic Medicine, Geriatrics and Neurology, Wasserburg/Inn, Germany
| | - Olivier Piguet
- School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, Australia
| | - Yolande A.L. Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Simon Ducharme
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
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Panzavolta A, Cerami C, Marcone A, Zamboni M, Iannaccone S, Dodich A. Diagnostic Performance of Socio-Emotional Informant-Based Questionnaires for the Clinical Detection of the Behavioral Variant of Frontotemporal Dementia. J Alzheimers Dis 2024; 97:1249-1260. [PMID: 38277289 DOI: 10.3233/jad-230591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2024]
Abstract
BACKGROUND Although social cognitive dysfunction is a major feature of the behavioral variant of frontotemporal dementia (bvFTD), quantitative measurement of social behavior changes is poorly available in clinical settings. OBJECTIVE The aim of the study is to evaluate diagnostic accuracy of social-emotional questionnaires in distinguishing bvFTD from healthy control (HC) subjects and Alzheimer's disease (AD) patients. METHODS We enrolled 29 bvFTD, 24 AD, and 18 HC subjects matched for age, sex, and education. Two informant-based measures of socio-emotional sensitivity and empathy (i.e., revised Self-Monitoring Scale (rSMS) and Interpersonal Reactivity Index (IRI)) were administered. One-way ANOVA was performed to compare groups, whereas Receiver Operating Characteristics (ROC) curve analysis tested questionnaire ability in distinguishing groups. A short version of IRI (sIRI) was obtained by excluding the non-contributing subscale (i.e., personal distress). RESULTS Compared to HC and AD, bvFTD showed significantly lower scores in rSMS and IRI scores, except for IRI personal distress subscale. The sIRI showed an excellent performance in early diagnosis (bvFTD versus HC = AUC 0.95). Both sIRI and rSMS showed good performance in distinguishing bvFTD from AD (AUC 0.83). CONCLUSIONS ROC analyses support the usefulness of informant social questionnaires in memory clinics and their potential value in screening procedures for research eligibility in forthcoming trials. In the timely diagnosis of bvFTD patients, IRI and rSMS may supply crucial information for the early detection of signs and symptoms affecting social-emotional skills, which might otherwise be underrecognized.
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Affiliation(s)
- Andrea Panzavolta
- IUSS Cognitive Neuroscience ICoN Center, Scuola Universitaria Superiore IUSS Pavia, Pavia, Italy
| | - Chiara Cerami
- IUSS Cognitive Neuroscience ICoN Center, Scuola Universitaria Superiore IUSS Pavia, Pavia, Italy
- IRCCS Mondino Foundation, Pavia, Italy
| | - Alessandra Marcone
- Department of Rehabilitation and Functional Recovery, San Raffaele Hospital, Milan, Italy
| | - Michele Zamboni
- Department of Rehabilitation and Functional Recovery, San Raffaele Hospital, Milan, Italy
| | - Sandro Iannaccone
- Department of Rehabilitation and Functional Recovery, San Raffaele Hospital, Milan, Italy
| | - Alessandra Dodich
- Center for Neurocognitive Rehabilitation - CIMeC, University of Trento, Rovereto (TN), Italy
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Funayama M, Kuramochi S, Kudo S. Neurosyphilis Initially Misdiagnosed as Behavioral Variant Frontotemporal Dementia: Life-Changing Differential Diagnosis. J Alzheimers Dis Rep 2023; 7:1077-1083. [PMID: 37849632 PMCID: PMC10578330 DOI: 10.3233/adr-230107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 09/02/2023] [Indexed: 10/19/2023] Open
Abstract
Diagnosing neurosyphilis can be challenging and it may be misdiagnosed as behavior variant frontotemporal dementia, given its affinity for the frontal and temporal lobes. Here we present a model case, who, in his 40 s, was initially misdiagnosed with behavioral variant frontotemporal dementia based on extreme self-neglect and disinhibition over six months and frontal lobe atrophy. He was later diagnosed as neurosyphilis with positive syphilis tests in his cerebrospinal fluid. He underwent penicillin treatment and fully recovered. Relatively rapid cognitive decline, particularly if young, should prompt physicians to consider neurosyphilis as a treatable dementia, which could completely change a patient's life.
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Affiliation(s)
- Michitaka Funayama
- Department of Neuropsychiatry, Ashikaga Red Cross Hospital, Ashikaga, Tochigi, Japan
- Department of Neuropsychiatry, Keio University School of Medicine, Shinjuku, Tokyo, Japan
| | - Shin Kuramochi
- Department of Neuropsychiatry, Ashikaga Red Cross Hospital, Ashikaga, Tochigi, Japan
- Department of Neuropsychiatry, Keio University School of Medicine, Shinjuku, Tokyo, Japan
- Department of Neuropsychiatry, Kawasaki Municipal Hospital, Kawaski, Kanagawa, Japan
| | - Shun Kudo
- Department of Neuropsychiatry, Ashikaga Red Cross Hospital, Ashikaga, Tochigi, Japan
- Department of Neuropsychiatry, Keio University School of Medicine, Shinjuku, Tokyo, Japan
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12
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de Boer SCM, Gossink F, Krudop W, Vijverberg E, Schouws S, Reus LM, Pijnenburg YAL, Dols A. Diagnostic Instability Over Time in the Late-Onset Frontal Lobe Syndrome: When Can We Say it's FTD? Am J Geriatr Psychiatry 2023; 31:679-690. [PMID: 37028983 DOI: 10.1016/j.jagp.2023.02.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/04/2023] [Accepted: 02/06/2023] [Indexed: 02/16/2023]
Abstract
OBJECTIVES Distinguishing sporadic behavioral variant of frontotemporal dementia (bvFTD) from late-onset primary psychiatric disorders (PPD) remains challenging with the lack of robust biomarkers. An early bvFTD misdiagnosis in PPD cases and vice-versa is common. Little is known about diagnostic (in)stability over longer period of time. We investigated diagnostic instability in a neuropsychiatric cohort up to 8 years after baseline visit and identified which clinical hallmarks contribute to diagnostic instability. DESIGN Diagnoses of participants of the late-onset frontal lobe (LOF) study were collected from the baseline visit (T0) and the 2-year follow-up visit (T2). Clinical outcomes were retrieved 5-8 years after baseline visit (Tfinal). Endpoint diagnoses were categorized into bvFTD, PPD and other neurological disorders (OND). We calculated the total amount of participants that switched diagnosis between T0-T2 and T2-Tfinal. Clinical records of participants that switched diagnosis were assessed. RESULTS Of the 137 patients that were included in the study, the final diagnoses at Tfinal were bvFTD 24.1% (n = 33), PPD 39.4% (n = 54), OND 33.6% (n = 46) and unknown 2.9% (n = 4). Between T0 and T2, a total of 29 (21.2%) patients switched diagnosis. Between T2 and Tfinal, 8 (5.8%) patients switched diagnosis. Prolonged follow-up identified few cases with diagnostic instability. Major contributors to diagnostic instability where a nonconverting diagnosis of possible bvFTD and a probable bvFTD diagnosis based on informant-based history and an abnormal FDG-PET scan whilst having a normal MRI. CONCLUSION Considering these lessons, a FTD diagnosis remains stable enough to conclude that 2 years is sufficient to say if a patient with late-life behavioral disorder has FTD.
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Affiliation(s)
- Sterre C M de Boer
- Alzheimer Center Amsterdam, Neurology (SCDB, WK, EV, LMR, YALP), Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Neuroscience (SCDB, WK, EV, LMR, YALP), Neurodegeneration, Amsterdam, The Netherlands.
| | - Flora Gossink
- Reinier van Arkel, Geriatric and Hospital Psychiatric Centre (COZ) (FG), Jeroen Bosch Hospital, Den Bosch, The Netherlands
| | - Welmoed Krudop
- Alzheimer Center Amsterdam, Neurology (SCDB, WK, EV, LMR, YALP), Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Neuroscience (SCDB, WK, EV, LMR, YALP), Neurodegeneration, Amsterdam, The Netherlands; Department of Psychology and Psychiatry, Antonius Ziekenhuis Utrecht (WK), Utrecht, The Netherlands
| | - Everard Vijverberg
- Alzheimer Center Amsterdam, Neurology (SCDB, WK, EV, LMR, YALP), Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Neuroscience (SCDB, WK, EV, LMR, YALP), Neurodegeneration, Amsterdam, The Netherlands
| | - Sigfried Schouws
- Department of Old Age Psychiatry (SS), GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry (SS), Amsterdam Public Health research institute, Amsterdam, The Netherlands
| | - Lianne Maria Reus
- Alzheimer Center Amsterdam, Neurology (SCDB, WK, EV, LMR, YALP), Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Neuroscience (SCDB, WK, EV, LMR, YALP), Neurodegeneration, Amsterdam, The Netherlands; Center for Neurobehavioral Genetics (LMR), University of California, Los Angeles, Los Angeles, CA
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Neurology (SCDB, WK, EV, LMR, YALP), Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Neuroscience (SCDB, WK, EV, LMR, YALP), Neurodegeneration, Amsterdam, The Netherlands
| | - Annemiek Dols
- Department of Psychiatry (AD), UMC Utrecht Brain Center, University Utrecht, Utrecht, The Netherlands
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13
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Semenkova A, Piguet O, Johnen A, Schroeter ML, Godulla J, Linnemann C, Mühlhauser M, Sauer T, Baumgartner M, Anderl-Straub S, Otto M, Felbecker A, Kressig RW, Berres M, Sollberger M. The Behavioural Dysfunction Questionnaire discriminates behavioural variant frontotemporal dementia from Alzheimer's disease dementia and major depressive disorder. J Neurol 2023:10.1007/s00415-023-11666-6. [PMID: 36952011 DOI: 10.1007/s00415-023-11666-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 02/22/2023] [Accepted: 03/12/2023] [Indexed: 03/24/2023]
Abstract
BACKGROUND AND OBJECTIVES Early-stage behavioural variant frontotemporal dementia (bvFTD) is often misdiagnosed, highlighting the need for new diagnostic instruments. Based on the revised diagnostic criteria for bvFTD, we developed the Behavioural Dysfunction Questionnaire (BDQ). In this explorative study, we aimed to determine the best scoring and analytical method for the BDQ to discriminate between bvFTD and non-bvFTD patients. MATERIALS AND METHODS 34 patients with early-stage bvFTD, 56 with early-stage Alzheimer's disease dementia (ADD) and 41 with major depressive disorder (MDD) were recruited. We calculated BDQ-items with or without inclusion of a time criterion: (a) without time criterion, (b) with 10 years' time criterion (symptom presence less than 10 years), and (c) with 3 years' time criterion (symptom presentation within the first 3 years). Using these three differently calculated items, we generated six variables, i.e. 3*2 [BDQ-Global Score (BDQ-GS; domains average score); BDQ-Global Domain Score (BDQ-GDS; domains categorical score)]. Then, we performed univariate and bivariate (BDQ-GS and BDQ-GDS combined) ROC analyses. RESULTS Models including BDQ-GS, BDQ-GDS or both variables combined discriminated similarly between groups. In contrast, models without time criterion or with 10 years' time criterion discriminated better than models including variables with 3 years' time criterion. These models discriminated highly (AUC = 85.98-87.78) between bvFTD and MDD and bvFTD and ADD, respectively. CONCLUSION BDQ-scores without any time criterion discriminated highly between early-stage bvFTD and non-bvFTD groups, which could improve the early diagnosis of bvFTD. With its standardised procedure, the BDQ is also appropriate for repeated assessments.
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Affiliation(s)
- Anna Semenkova
- Memory Clinic, University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland
- Faculty of Psychology, University of Basel, Basel, Switzerland
| | - Olivier Piguet
- School of Psychology and Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Andreas Johnen
- Clinic for Neurology, Münster University Hospital, Münster, Germany
| | - Matthias L Schroeter
- Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Jannis Godulla
- Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | | | | | - Thomas Sauer
- University Psychiatric Clinic, Basel, Switzerland
| | | | | | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
- Department of Neurology, University Hospital Halle, Halle, Germany
| | - Ansgar Felbecker
- Clinic of Neurology und Neurophysiology, Canton Hospital St. Gallen, St. Gallen, Switzerland
| | - Reto W Kressig
- Memory Clinic, University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland
| | - Manfred Berres
- Department of Mathematics and Technology, University of Applied Sciences Koblenz, Koblenz, Germany
| | - Marc Sollberger
- Memory Clinic, University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland.
- Department of Neurology, University Hospital Basel, Basel, Switzerland.
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Combining Neuropsychological Assessment with Neuroimaging to Distinguish Early-Stage Alzheimer's Disease from Frontotemporal Lobar Degeneration in Non-Western Tonal Native Language-Speaking Individuals Living in Taiwan: A Case Series. J Clin Med 2023; 12:jcm12041322. [PMID: 36835856 PMCID: PMC9961761 DOI: 10.3390/jcm12041322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/25/2022] [Accepted: 02/01/2023] [Indexed: 02/10/2023] Open
Abstract
Neuropsychological tests (NPTs), which are routinely used in clinical practice for assessment of dementia, are also considered to be essential for differential diagnosis of Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD), especially the behavioral variants of frontotemporal dementia (bvFTD) and primary progressive aphasia (PPA) at their initial clinical presentations. However, the heterogeneous features of these diseases, which have many overlapping signs, make differentiation between AD and FTLD highly challenging. Moreover, NPTs were primarily developed in Western countries and for native speakers of non-tonal languages. Hence, there is an ongoing dispute over the validity and reliability of these tests in culturally different and typologically diverse language populations. The purpose of this case series was to examine which of the NPTs adjusted for Taiwanese society may be used to distinguish these two diseases. Since AD and FTLD have different effects on individuals' brain, we combined NPTs with neuroimaging. We found that participants diagnosed with FTLD had lower scores in NPTs assessing language or social cognition than AD participants. PPA participants also had lower measures in the Free and Cued Selective Reminding Test than those diagnosed with bvFTD, while bvFTD participants showed poorer performances in the behavioral measures than PPA participants. In addition, the initial diagnosis was supported by the standard one-year clinical follow-up.
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Elefante C, Brancati GE, Torrigiani S, Amadori S, Ricciardulli S, Pistolesi G, Lattanzi L, Perugi G. Bipolar Disorder and Manic-Like Symptoms in Alzheimer's, Vascular and Frontotemporal Dementia: A Systematic Review. Curr Neuropharmacol 2023; 21:2516-2542. [PMID: 35794767 PMCID: PMC10616925 DOI: 10.2174/1570159x20666220706110157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 06/13/2022] [Accepted: 06/13/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND An increased risk of manic episodes has been reported in patients with neurodegenerative disorders, but the clinical features of bipolar disorder (BD) in different subtypes of dementia have not been thoroughly investigated. OBJECTIVES The main aim of this study is to systematically review clinical and therapeutic evidence about manic syndromes in patients with Alzheimer's disease (AD), vascular dementia (VaD), and frontotemporal dementia (FTD). Since manic-mixed episodes have been associated to negative outcomes in patients with dementia and often require medical intervention, we also critically summarized selected studies with relevance for the treatment of mania in patients with cognitive decline. METHODS A systematic review of the literature was conducted according to PRISMA guidelines. PubMed, Scopus, and Web of Science databases were searched up to February 2022. Sixty-one articles on patients with AD, VaD, or FTD and BD or (hypo) mania have been included. RESULTS Manic symptoms seem to be associated to disease progression in AD, have a greatly variable temporal relationship with cognitive decline in VaD, and frequently coincide with or precede cognitive impairment in FTD. Overall, mood stabilizers, and electroconvulsive therapy may be the most effective treatments, while the benefits of short-term treatment with antipsychotic agents must be balanced with the associated risks. Importantly, low-dose lithium salts may exert neuroprotective activity in patients with AD. CONCLUSION Prevalence, course, and characteristics of manic syndromes in patients with dementia may be differentially affected by the nature of the underlying neurodegenerative conditions.
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Affiliation(s)
- Camilla Elefante
- Department of Clinical and Experimental Medicine, University of Pisa, Psychiatry Unit, Pisa, Italy
| | - Giulio Emilio Brancati
- Department of Clinical and Experimental Medicine, University of Pisa, Psychiatry Unit, Pisa, Italy
| | - Samuele Torrigiani
- Department of Clinical and Experimental Medicine, University of Pisa, Psychiatry Unit, Pisa, Italy
| | - Salvatore Amadori
- Department of Clinical and Experimental Medicine, University of Pisa, Psychiatry Unit, Pisa, Italy
| | - Sara Ricciardulli
- Department of Clinical and Experimental Medicine, University of Pisa, Psychiatry Unit, Pisa, Italy
| | - Gabriele Pistolesi
- Department of Clinical and Experimental Medicine, University of Pisa, Psychiatry Unit, Pisa, Italy
| | - Lorenzo Lattanzi
- Psychiatry Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
| | - Giulio Perugi
- Department of Clinical and Experimental Medicine, University of Pisa, Psychiatry Unit, Pisa, Italy
- G. De Lisio Institute of Behavioral Sciences, Pisa, Italy
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Magrath Guimet N, Zapata-Restrepo LM, Miller BL. Advances in Treatment of Frontotemporal Dementia. J Neuropsychiatry Clin Neurosci 2022; 34:316-327. [PMID: 35578801 DOI: 10.1176/appi.neuropsych.21060166] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
In this review, the authors explored the clinical features of frontotemporal dementia (FTD), focusing on treatment. The clinical features of FTD are unique, with disinhibition, apathy, loss of empathy, and compulsions common. Motor changes occur later in the illness. The two major proteins that aggregate in the brain with FTD are tau and TDP-43, whereas a minority of patients aggregate FET proteins, primarily the FUS protein. Genetic causes include mutations in MAPT, GRN, and C9orf72. There are no medications that can slow FTD progression, although new therapies for the genetic forms of FTD are moving into clinical trials. Once a diagnosis is made, therapies should begin, focusing on the family and the patient. In the setting of FTD, families experience a severe burden associated with caregiving, and the clinician should focus on alleviating this burden. Advice around legal and financial issues is usually helpful. Careful consideration of environmental changes to cope with abnormal behaviors is essential. Most compounds that have been used to treat dementia of the Alzheimer's disease type are not effective in FTD, and cholinesterase inhibitors and memantine should be avoided. Although the data are scant, there is some evidence that antidepressants and second-generation antipsychotics may help individual patients.
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Affiliation(s)
- Nahuel Magrath Guimet
- Global Brain Health Institute, University of California, San Francisco (all authors); Institute of Neuroscience, Trinity College, Dublin (all authors); Department of Cognitive Neurology, Neuropsychiatry and Neuropsychology, Instituto Neurológico Fleni, Buenos Aires (Magrath Guimet); Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco (Miller); and Department of Medical Sciences, Pontifical Xaverian University Cali, Cali, Colombia (Zapata-Restrepo), Department of Psychiatry, Fundación Valle del Lili, Cali, Colombia (Zapata-Restrepo)
| | - Lina M Zapata-Restrepo
- Global Brain Health Institute, University of California, San Francisco (all authors); Institute of Neuroscience, Trinity College, Dublin (all authors); Department of Cognitive Neurology, Neuropsychiatry and Neuropsychology, Instituto Neurológico Fleni, Buenos Aires (Magrath Guimet); Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco (Miller); and Department of Medical Sciences, Pontifical Xaverian University Cali, Cali, Colombia (Zapata-Restrepo), Department of Psychiatry, Fundación Valle del Lili, Cali, Colombia (Zapata-Restrepo)
| | - Bruce L Miller
- Global Brain Health Institute, University of California, San Francisco (all authors); Institute of Neuroscience, Trinity College, Dublin (all authors); Department of Cognitive Neurology, Neuropsychiatry and Neuropsychology, Instituto Neurológico Fleni, Buenos Aires (Magrath Guimet); Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco (Miller); and Department of Medical Sciences, Pontifical Xaverian University Cali, Cali, Colombia (Zapata-Restrepo), Department of Psychiatry, Fundación Valle del Lili, Cali, Colombia (Zapata-Restrepo)
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Van den Stock J, Bertoux M, Diehl-Schmid J, Piguet O, Rankin KP, Pasquier F, Ducharme S, Pijnenburg Y, Kumfor F. Current Potential for Clinical Optimization of Social Cognition Assessment for Frontotemporal Dementia and Primary Psychiatric Disorders. Neuropsychol Rev 2022; 33:544-550. [PMID: 35962919 DOI: 10.1007/s11065-022-09554-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 05/10/2022] [Indexed: 11/25/2022]
Abstract
Dodich and colleagues recently reviewed the evidence supporting clinical use of social cognition assessment in behavioral variant frontotemporal dementia (Dodich et al., 2021). Here, we comment on their methods and present an initiative to address some of the limitations that emerged from their study. In particular, we established the social cognition workgroup within the Neuropsychiatric International Consortium Frontotemporal dementia (scNIC-FTD), aiming to validate social cognition assessment for diagnostic purposes and tracking of change across clinical situations.
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Affiliation(s)
- Jan Van den Stock
- Leuven Brain Institute, Department of Neurosciences, Research Group Psychiatry, Neuropsychiatry, KU Leuven, Leuven, Belgium.
- Geriatric Psychiatry, University Psychiatric Centre KU Leuven, Leuven, Belgium.
| | - Maxime Bertoux
- Lille Neurosciences & Cognition Institute, Labex DISTALZ, Univ. Lille, Inserm, CHU Lille, Lille, France
| | - Janine Diehl-Schmid
- School of Medicine, Department of Psychiatry and Psychotherapy, Technical University of Munich, Munich, Germany
| | - Olivier Piguet
- Brain and Mind Centre and School of Psychology, The University of Sydney, Sydney, Australia
| | - Katherine P Rankin
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Florence Pasquier
- Lille Neurosciences & Cognition Institute, Labex DISTALZ, Univ. Lille, Inserm, CHU Lille, Lille, France
| | - Simon Ducharme
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Yolande Pijnenburg
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Fiona Kumfor
- Brain and Mind Centre and School of Psychology, The University of Sydney, Sydney, Australia
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18
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Sustained Long-term Improvement in Neuropsychiatric Symptoms of an Individual With Initial bvFTD Diagnosis: A Case Report. Cogn Behav Neurol 2022; 35:76-82. [PMID: 35239601 DOI: 10.1097/wnn.0000000000000298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 06/28/2021] [Indexed: 11/25/2022]
Abstract
The behavioral variant of frontotemporal dementia (bvFTD) is a neurodegenerative disease that is diagnosed by progressive neuropsychiatric changes and supportive neuroimaging. Making an accurate diagnosis of bvFTD is a challenging process that can be complicated by the presence of a subset of nonprogressive, or phenocopy, cases whose symptoms remain stable. Our patient, who presented with neuropsychiatric symptoms that are characteristic of bvFTD, improved and stabilized after thorough neuropsychiatric and neuropsychological evaluation and treatment. Our case illustrates that, despite diagnostic uncertainties, appropriate evaluation and treatment can lead to improvement and stabilization of neuropsychiatric symptoms in individuals presumed to have bvFTD.
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19
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Tsoukra P, Velakoulis D, Wibawa P, Malpas CB, Walterfang M, Evans A, Farrand S, Kelso W, Eratne D, Loi SM. The Diagnostic Challenge of Young-Onset Dementia Syndromes and Primary Psychiatric Diseases: Results From a Retrospective 20-Year Cross-Sectional Study. J Neuropsychiatry Clin Neurosci 2022; 34:44-52. [PMID: 34538074 DOI: 10.1176/appi.neuropsych.20100266] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Distinguishing a dementia syndrome from a primary psychiatric disease in younger patients can be challenging and may lead to diagnostic change over time. The investigators aimed to examine diagnostic stability in a cohort of patients with younger-onset neurocognitive disorders. METHODS A retrospective review of records was conducted for patients who were admitted to an inpatient neuropsychiatry service unit between 2000 and 2019, who were followed up for at least 12 months, and who received a diagnosis of young-onset dementia at any time point. Initial diagnosis included Alzheimer's disease-type dementia (N=30), frontotemporal dementia (FTD) syndromes (N=44), vascular dementia (N=7), mild cognitive impairment (N=10), primary psychiatric diseases (N=6), and other conditions, such as Lewy body dementia (N=30). RESULTS Among 127 patients, 49 (39%) had a change in their initial diagnoses during the follow-up period. Behavioral variant FTD (bvFTD) was the least stable diagnosis, followed by dementia not otherwise specified and mild cognitive impairment. Compared with patients with a stable diagnosis, those who changed exhibited a higher cognitive score at baseline, a longer follow-up period, greater delay to final diagnosis, and no family history of dementia. Patients whose diagnosis changed from a neurodegenerative to a psychiatric diagnosis were more likely to have a long psychiatric history, while those whose diagnosis changed from a psychiatric to a neurodegenerative one had a recent manifestation of psychiatric symptoms. CONCLUSIONS Misdiagnosis of younger patients with neurocognitive disorders is not uncommon, especially in cases of bvFTD. Late-onset psychiatric symptoms may be the harbinger to a neurodegenerative disease. Close follow-up and monitoring of these patients are necessary.
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Affiliation(s)
- Paraskevi Tsoukra
- Department of Neurology, Evaggelismos Hospital, Athens, Greece (Tsoukra); Neuropsychiatry Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Melbourne Neuropsychiatry Centre, University of Melbourne and Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Department of Medicine, Clinical Outcomes Research Unit, Royal Melbourne Hospital, Parkville, Australia (Malpas); Department of Neurology, Royal Melbourne Hospital, Parkville, Australia (Malpas); and Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Australia (Malpas)
| | - Dennis Velakoulis
- Department of Neurology, Evaggelismos Hospital, Athens, Greece (Tsoukra); Neuropsychiatry Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Melbourne Neuropsychiatry Centre, University of Melbourne and Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Department of Medicine, Clinical Outcomes Research Unit, Royal Melbourne Hospital, Parkville, Australia (Malpas); Department of Neurology, Royal Melbourne Hospital, Parkville, Australia (Malpas); and Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Australia (Malpas)
| | - Pierre Wibawa
- Department of Neurology, Evaggelismos Hospital, Athens, Greece (Tsoukra); Neuropsychiatry Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Melbourne Neuropsychiatry Centre, University of Melbourne and Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Department of Medicine, Clinical Outcomes Research Unit, Royal Melbourne Hospital, Parkville, Australia (Malpas); Department of Neurology, Royal Melbourne Hospital, Parkville, Australia (Malpas); and Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Australia (Malpas)
| | - Charles B Malpas
- Department of Neurology, Evaggelismos Hospital, Athens, Greece (Tsoukra); Neuropsychiatry Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Melbourne Neuropsychiatry Centre, University of Melbourne and Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Department of Medicine, Clinical Outcomes Research Unit, Royal Melbourne Hospital, Parkville, Australia (Malpas); Department of Neurology, Royal Melbourne Hospital, Parkville, Australia (Malpas); and Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Australia (Malpas)
| | - Mark Walterfang
- Department of Neurology, Evaggelismos Hospital, Athens, Greece (Tsoukra); Neuropsychiatry Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Melbourne Neuropsychiatry Centre, University of Melbourne and Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Department of Medicine, Clinical Outcomes Research Unit, Royal Melbourne Hospital, Parkville, Australia (Malpas); Department of Neurology, Royal Melbourne Hospital, Parkville, Australia (Malpas); and Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Australia (Malpas)
| | - Andrew Evans
- Department of Neurology, Evaggelismos Hospital, Athens, Greece (Tsoukra); Neuropsychiatry Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Melbourne Neuropsychiatry Centre, University of Melbourne and Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Department of Medicine, Clinical Outcomes Research Unit, Royal Melbourne Hospital, Parkville, Australia (Malpas); Department of Neurology, Royal Melbourne Hospital, Parkville, Australia (Malpas); and Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Australia (Malpas)
| | - Sarah Farrand
- Department of Neurology, Evaggelismos Hospital, Athens, Greece (Tsoukra); Neuropsychiatry Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Melbourne Neuropsychiatry Centre, University of Melbourne and Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Department of Medicine, Clinical Outcomes Research Unit, Royal Melbourne Hospital, Parkville, Australia (Malpas); Department of Neurology, Royal Melbourne Hospital, Parkville, Australia (Malpas); and Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Australia (Malpas)
| | - Wendy Kelso
- Department of Neurology, Evaggelismos Hospital, Athens, Greece (Tsoukra); Neuropsychiatry Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Melbourne Neuropsychiatry Centre, University of Melbourne and Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Department of Medicine, Clinical Outcomes Research Unit, Royal Melbourne Hospital, Parkville, Australia (Malpas); Department of Neurology, Royal Melbourne Hospital, Parkville, Australia (Malpas); and Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Australia (Malpas)
| | - Dhamidhu Eratne
- Department of Neurology, Evaggelismos Hospital, Athens, Greece (Tsoukra); Neuropsychiatry Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Melbourne Neuropsychiatry Centre, University of Melbourne and Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Department of Medicine, Clinical Outcomes Research Unit, Royal Melbourne Hospital, Parkville, Australia (Malpas); Department of Neurology, Royal Melbourne Hospital, Parkville, Australia (Malpas); and Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Australia (Malpas)
| | - Samantha M Loi
- Department of Neurology, Evaggelismos Hospital, Athens, Greece (Tsoukra); Neuropsychiatry Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Melbourne Neuropsychiatry Centre, University of Melbourne and Royal Melbourne Hospital, Parkville, Australia (Velakoulis, Wibawa, Walterfang, Evans, Farrand, Kelso, Eratne, Loi); Department of Medicine, Clinical Outcomes Research Unit, Royal Melbourne Hospital, Parkville, Australia (Malpas); Department of Neurology, Royal Melbourne Hospital, Parkville, Australia (Malpas); and Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Australia (Malpas)
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20
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de Boer SCM, Riedl L, van der Lee SJ, Otto M, Anderl-Straub S, Landin-Romero R, Sorrentino F, Fieldhouse JLP, Reus LM, Vacaflor B, Halliday G, Galimberti D, Diehl-Schmid J, Ducharme S, Piguet O, Pijnenburg YAL. Differences in Sex Distribution Between Genetic and Sporadic Frontotemporal Dementia. J Alzheimers Dis 2021; 84:1153-1161. [PMID: 34633319 PMCID: PMC8673542 DOI: 10.3233/jad-210688] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Reported sex distributions differ between frontotemporal dementia (FTD) cohorts. Possible explanations are the evolving clinical criteria of FTD and its subtypes and the discovery of FTD causal genetic mutations that has resulted in varying demographics. Objective: Our aim was to determine the sex distribution of sporadic and genetic FTD cases and its subtypes in an international cohort. Methods: We included 910 patients with behavioral variant frontotemporal dementia (bvFTD; n = 654), non-fluent variant primary progressive aphasia (nfvPPA; n = 99), semantic variant primary progressive aphasia (svPPA; n = 117), and right temporal variant frontotemporal dementia (rtvFTD; n = 40). We compared sex distribution between genetic and sporadic FTD using χ2-tests. Results: The genetic FTD group consisted of 51.2% males, which did not differ from sporadic FTD (57.8% male, p = 0.08). In the sporadic bvFTD subgroup, males were predominant in contrast to genetic bvFTD (61.6% versus 52.9% males, p = 0.04). In the other clinical FTD subgroups, genetic cases were underrepresented and within the sporadic cases the sex distribution was somewhat equal. Conclusion: The higher male prevalence in sporadic bvFTD may provide important clues for its differential pathogenesis and warrants further research.
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Affiliation(s)
- Sterre C M de Boer
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Lina Riedl
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Markus Otto
- Department of Neurology, University Clinic, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | | | - Ramon Landin-Romero
- School of Psychology, and Brain & Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Federica Sorrentino
- Neurodegenerative Disease Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Jay L P Fieldhouse
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Lianne M Reus
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Blanca Vacaflor
- Department of Psychiatry, McGill University Health Center, Montreal, Quebec, QC, Canada
| | - Glenda Halliday
- School of Medical Sciences, and Brain & Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Daniela Galimberti
- Neurodegenerative Disease Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.,Department of Biomedical, Surgical and Dental Sciences, Dino Ferrari Center, University of Milan, Milan, Italy
| | - Janine Diehl-Schmid
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Simon Ducharme
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, QC, Canada.,Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, QC, Canada
| | - Olivier Piguet
- School of Psychology, and Brain & Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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21
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Custodio N, Montesinos R, Cruzado L, Herrera-Perez E, Failoc-Rojas VE, Pintado-Caipa M, Seminario G W, Cuenca J, Gamboa C, Diaz MM. Social Cognition and Behavioral Assessments Improve the Diagnosis of Behavioral Variant of Frontotemporal Dementia in Older Peruvians With Low Educational Levels. Front Neurol 2021; 12:704109. [PMID: 34552551 PMCID: PMC8450322 DOI: 10.3389/fneur.2021.704109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 07/07/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The behavioral variant of frontotemporal dementia (bvFTD), characterized by early behavioral abnormalities and late memory impairment, is a neurodegenerative disorder with a detrimental impact on patients and their caregivers. bvFTD is often difficult to distinguish from other neurodegenerative diseases, such as Alzheimer's disease (AD), using brief cognitive tests. Combining brief socio-cognitive and behavioral evaluations with standard cognitive testing could better discriminate bvFTD from AD patients. We sought to evaluate the diagnostic accuracy of brief socio-cognitive tests that may differentiate bvFTD and AD patients with low educational levels. Methods: A prospective study was performed on 51 individuals over the age of 50 with low educational levels, with bvFTD or AD diagnosed using published criteria, and who were receiving neurological care at a multidisciplinary neurology clinic in Lima, Peru, between July 2017 and December 2020. All patients had a comprehensive neurological evaluation, including a full neurocognitive battery and brief tests of cognition (Addenbrooke's Cognitive Examination version III, ACE-III), social cognition (Mini-social Cognition and Emotional Assessment, Mini-SEA), and behavioral assessments (Frontal Behavioral Inventory, FBI; Interpersonal Reactivity Index-Emphatic Concern, IRI-EC; IRI-Perspective Taking, IRI-PT; and Self-Monitoring Scale-revised version, r-SMS). Receiver operating characteristic (ROC) analysis to calculate the area under the curve (AUC) was performed to compare the brief screening tests individually and combined to the gold standard of bvFTD and AD diagnoses. Results: The AD group was significantly older than the bvFTD group (p < 0.001). An analysis of the discriminatory ability of the ACE-III to distinguish between patients with AD and bvFTD (AUC = 0.85) and the INECO Frontal Screening (IFS; AUC = 0.78) shows that the former has greater discriminatory ability. Social and behavioral cognition tasks were able to appropriately discriminate bvFTD from AD. The Mini-SEA had high sensitivity and high moderate specificity (83%) for discriminating bvFTD from AD, which increased when combined with the brief screening tests ACE-III and IFS. The FBI was ideal with high sensitivity (83%), as well as the IRI-EC and IRI-PT that also were adequate for distinguishing bvFTD from AD. Conclusions: Our study supports the integration of socio-behavioral measures to the standard global cognitive and social cognition measures utilized for screening for bvFTD in a population with low levels of education.
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Affiliation(s)
- Nilton Custodio
- Servicio de Neurología, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
| | - Rosa Montesinos
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Lizardo Cruzado
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Instituto Nacional de Salud Mental “Honorio Delgado—Hideyo Noguchi”, Lima, Peru
- Grupo de investigación Molident, Universidad San Ignacio de Loyola, Lima, Peru
| | - Eder Herrera-Perez
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru
| | - Virgilio E. Failoc-Rojas
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
| | - Maritza Pintado-Caipa
- Servicio de Neurología, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Atlantic Fellow, Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, United States
| | - Wendy Seminario G
- Servicio de Neurología, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
| | - José Cuenca
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru
- Servicio de Neuropsicología, Instituto Peruano de Neurociencias, Lima, Peru
- Carrera de Psicología, Facultad de Ciencias de la Salud, Universidad Privada del Norte, Lima, Peru
| | - Carlos Gamboa
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Servicio de Neuropsicología, Instituto Peruano de Neurociencias, Lima, Peru
| | - Monica M. Diaz
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Facultad de Salud Pública y Administración, Universidad Peruana Cayetano Heredia, Lima, Peru
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22
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Funayama M, Nakajima A, Kurose S, Takata T. Putative Alcohol-Related Dementia as an Early Manifestation of Right Temporal Variant of Frontotemporal Dementia. J Alzheimers Dis 2021; 83:531-537. [PMID: 34334406 DOI: 10.3233/jad-210501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Diagnosis of frontotemporal dementia is challenging in the early stages. Various psychiatric and neurological diseases are misdiagnosed as frontotemporal dementia and vice versa. Here we present a case with right temporal variant of frontotemporal dementia who presented with alcohol dependency and remarkable behavioral symptoms and was first misdiagnosed as having alcohol-related dementia. He then revealed symptoms related to right temporal variant of frontotemporal dementia, such as prosopagnosia, difficulty recognizing his housemates, loss of empathy, ritualistic behaviors, and difficulty finding and comprehending words. Retrospectively, his alcohol dependency itself was considered an early manifestation of right temporal variant of frontotemporal dementia.
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Affiliation(s)
- Michitaka Funayama
- Department of Neuropsychiatry, Ashikaga Red Cross Hospital, Ashikaga-City, Tochigi, Japan
| | - Asuka Nakajima
- Department of Rehabilitation, Ashikaga Red Cross Hospital, Tochigi, Japan
| | - Shin Kurose
- Department of Neuropsychiatry, Ashikaga Red Cross Hospital, Ashikaga-City, Tochigi, Japan
| | - Taketo Takata
- Department of Neuropsychiatry, Ashikaga Red Cross Hospital, Ashikaga-City, Tochigi, Japan
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23
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van Engelen MPE, Rozemuller AJM, Ulugut Erkoyun H, Groot C, Fieldhouse JLP, Koene T, Ossenkoppele R, Gossink FT, Krudop WA, Vijverberg EGB, Dols A, Barkhof F, Berckel BNMV, Scheltens P, Brain Bank N, Pijnenburg YAL. The bvFTD phenocopy syndrome: a case study supported by repeated MRI, [ 18F]FDG-PET and pathological assessment. Neurocase 2021; 27:181-189. [PMID: 33881963 DOI: 10.1080/13554794.2021.1905855] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
A clinical syndrome with neuropsychiatric features of bvFTD without neuroimaging abnormalities and a lack of decline is a phenocopy of bvFTD (phFTD). Growing evidence suggests that psychological, psychiatric and environmental factors underlie phFTD. We describe a patient diagnosed with bvFTD prior to the revision of the diagnostic guidelines of FTD. Repeated neuroimaging was normal and there was no FTD pathology at autopsy, rejecting the diagnosis. We hypothesize on etiological factors that on hindsight might have played a role. This case report contributes to the understanding of phFTD and adds to the sparse literature of the postmortem assessment of phFTD.
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Affiliation(s)
- Marie-Paule E van Engelen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Annemieke J M Rozemuller
- Department of Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Hülya Ulugut Erkoyun
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jay L P Fieldhouse
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ted Koene
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - Flora T Gossink
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Old Age Psychiatry, Amsterdam, The Netherlands
| | - Welmoed A Krudop
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Old Age Psychiatry, Amsterdam, The Netherlands.,Department of Psychiatry, Universitair Medisch Centrum Utrecht, Utrecht, The Netherlands
| | - Everard G B Vijverberg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Annemieke Dols
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Old Age Psychiatry, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands.,Institutes of Neurology and Healthcare Engineering, University College London, London, England, UK
| | - Bart N M Van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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24
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Pressman PS, Matlock D, Ducharme S. Distinguishing Behavioral Variant Frontotemporal Dementia From Primary Psychiatric Disorders: A Review of Recently Published Consensus Recommendations From the Neuropsychiatric International Consortium for Frontotemporal Dementia. J Neuropsychiatry Clin Neurosci 2021; 33:152-156. [PMID: 33441015 PMCID: PMC8916060 DOI: 10.1176/appi.neuropsych.20090238] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The behavioral variant of frontotemporal dementia (bvFTD) is the second most common cause of dementia for individuals <65 years old, but accurate diagnosis is often delayed for several years. While previous criteria have increased the ability of diagnosticians to distinguish between bvFTD and other neurocognitive disorders such as Alzheimer's disease, distinguishing bvFTD from a primary psychiatric disorder (PPD) has been more challenging. In early 2020, the Neuropsychiatric International Consortium for Frontotemporal Dementia published the first consensus recommendations to help clinicians distinguish between bvFTD and PPD. These recommendations were produced by a consortium of 45 scientists and clinicians from more than 15 different countries, who explored aspects of history taking, neuropsychological assessments, clinical scales, neuroimaging, CSF and serum biomarkers, and genetics. A multidisciplinary approach is encouraged throughout. In this article, the authors also review those consensus recommendations and highlight use of novel tests and techniques. Additionally, they indicate where further research is needed, including methods to assess the dissemination and implementation of these recommendations. In this way, future efforts by clinicians and researchers alike to improve accurate recognition of bvFTD are encouraged, thereby expanding opportunities for improved guidance and management.
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Affiliation(s)
- Peter S. Pressman
- Behavioral Neurology Section, Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Daniel Matlock
- Division of Geriatric Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Simon Ducharme
- Montreal Neurological Institute-Hospital, Montreal, Quebec, Canada
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Maia da Silva MN, Porto FHDG, Lopes PMG, Sodré de Castro Prado C, Frota NAF, Alves CHL, Alves GS. Frontotemporal Dementia and Late-Onset Bipolar Disorder: The Many Directions of a Busy Road. Front Psychiatry 2021; 12:768722. [PMID: 34925096 PMCID: PMC8674641 DOI: 10.3389/fpsyt.2021.768722] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 10/13/2021] [Indexed: 12/18/2022] Open
Abstract
It is a common pathway for patients with the behavioral variant of frontotemporal dementia (bvFTD) to be first misdiagnosed with a primary psychiatric disorder, a considerable proportion of them being diagnosed with bipolar disorder (BD). Conversely, not rarely patients presenting in late life with a first episode of mania or atypically severe depression are initially considered to have dementia before the diagnosis of late-onset BD is reached. Beyond some shared features that make these conditions particularly prone to confusion, especially in the elderly, the relationship between bvFTD and BD is far from simple. Patients with BD often have cognitive complaints as part of their psychiatric disorder but are at an increased risk of developing dementia, including FTD. Likewise, apathy and disinhibition, common features of depression and mania, respectively, are among the core features of the bvFTD syndrome, not to mention that depression may coexist with dementia. In this article, we take advantage of the current knowledge on the neurobiology of these two nosologic entities to review their historical and conceptual interplay, highlighting the clinical, genetic and neuroimaging features that may be shared by both disorders or unique to each of them.
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Affiliation(s)
- Mari N Maia da Silva
- Geriatric Neuropsychiatry Outpatient Service, Nina Rodrigues Hospital, São Luís, Brazil
| | - Fábio Henrique de Gobbi Porto
- Laboratory of Psychiatric Neuroimaging (LIM-21) and Old Age Research Group (PROTER), Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | | | | | - Norberto Anízio Ferreira Frota
- University of Fortaleza (UNIFOR) School of Medicine, Cognitive and Behavioral Neurology Service, Hospital Geral de Fortaleza, Fortaleza, Brazil
| | | | - Gilberto Sousa Alves
- Geriatric Neuropsychiatry Outpatient Service, Nina Rodrigues Hospital, São Luís, Brazil.,Post Graduation in Psychiatry and Mental Health, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
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Ducharme S, Dols A, Laforce R, Devenney E, Kumfor F, van den Stock J, Dallaire-Théroux C, Seelaar H, Gossink F, Vijverberg E, Huey E, Vandenbulcke M, Masellis M, Trieu C, Onyike C, Caramelli P, de Souza LC, Santillo A, Waldö ML, Landin-Romero R, Piguet O, Kelso W, Eratne D, Velakoulis D, Ikeda M, Perry D, Pressman P, Boeve B, Vandenberghe R, Mendez M, Azuar C, Levy R, Le Ber I, Baez S, Lerner A, Ellajosyula R, Pasquier F, Galimberti D, Scarpini E, van Swieten J, Hornberger M, Rosen H, Hodges J, Diehl-Schmid J, Pijnenburg Y. Recommendations to distinguish behavioural variant frontotemporal dementia from psychiatric disorders. Brain 2020; 143:1632-1650. [PMID: 32129844 PMCID: PMC7849953 DOI: 10.1093/brain/awaa018] [Citation(s) in RCA: 145] [Impact Index Per Article: 36.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Revised: 11/27/2019] [Accepted: 12/08/2019] [Indexed: 12/12/2022] Open
Abstract
The behavioural variant of frontotemporal dementia (bvFTD) is a frequent cause of early-onset dementia. The diagnosis of bvFTD remains challenging because of the limited accuracy of neuroimaging in the early disease stages and the absence of molecular biomarkers, and therefore relies predominantly on clinical assessment. BvFTD shows significant symptomatic overlap with non-degenerative primary psychiatric disorders including major depressive disorder, bipolar disorder, schizophrenia, obsessive-compulsive disorder, autism spectrum disorders and even personality disorders. To date, ∼50% of patients with bvFTD receive a prior psychiatric diagnosis, and average diagnostic delay is up to 5-6 years from symptom onset. It is also not uncommon for patients with primary psychiatric disorders to be wrongly diagnosed with bvFTD. The Neuropsychiatric International Consortium for Frontotemporal Dementia was recently established to determine the current best clinical practice and set up an international collaboration to share a common dataset for future research. The goal of the present paper was to review the existing literature on the diagnosis of bvFTD and its differential diagnosis with primary psychiatric disorders to provide consensus recommendations on the clinical assessment. A systematic literature search with a narrative review was performed to determine all bvFTD-related diagnostic evidence for the following topics: bvFTD history taking, psychiatric assessment, clinical scales, physical and neurological examination, bedside cognitive tests, neuropsychological assessment, social cognition, structural neuroimaging, functional neuroimaging, CSF and genetic testing. For each topic, responsible team members proposed a set of minimal requirements, optimal clinical recommendations, and tools requiring further research or those that should be developed. Recommendations were listed if they reached a ≥ 85% expert consensus based on an online survey among all consortium participants. New recommendations include performing at least one formal social cognition test in the standard neuropsychological battery for bvFTD. We emphasize the importance of 3D-T1 brain MRI with a standardized review protocol including validated visual atrophy rating scales, and to consider volumetric analyses if available. We clarify the role of 18F-fluorodeoxyglucose PET for the exclusion of bvFTD when normal, whereas non-specific regional metabolism abnormalities should not be over-interpreted in the case of a psychiatric differential diagnosis. We highlight the potential role of serum or CSF neurofilament light chain to differentiate bvFTD from primary psychiatric disorders. Finally, based on the increasing literature and clinical experience, the consortium determined that screening for C9orf72 mutation should be performed in all possible/probable bvFTD cases or suspected cases with strong psychiatric features.
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Affiliation(s)
- Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Str., Montreal, Quebec, H3A 2B4, Canada
| | - Annemiek Dols
- Department of Old Age Psychiatry, GGZ InGeest, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire (CIME), Laval University, Quebec, Canada
| | - Emma Devenney
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Fiona Kumfor
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Jan van den Stock
- Laboratory for Translational Neuropsychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium
| | | | - Harro Seelaar
- Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Flora Gossink
- Department of Old Age Psychiatry, GGZ InGeest, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Everard Vijverberg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Edward Huey
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Department of Psychiatry, Colombia University, New York, USA
| | - Mathieu Vandenbulcke
- Department of Geriatric Psychiatry, University Hospitals Leuven, Leuven, Belgium
| | - Mario Masellis
- Department of Neurology, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Calvin Trieu
- Department of Old Age Psychiatry, GGZ InGeest, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Chiadi Onyike
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Paulo Caramelli
- Behavioral and Cognitive Neurology Research Group, Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Leonardo Cruz de Souza
- Behavioral and Cognitive Neurology Research Group, Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Maria Landqvist Waldö
- Division of Clinical Sciences Helsingborg, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | | | - Olivier Piguet
- Division of Clinical Sciences Helsingborg, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Wendy Kelso
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia
| | - Dhamidhu Eratne
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia
| | - Manabu Ikeda
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - David Perry
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, USA
| | - Peter Pressman
- Department of Neurology, University of Colorado Denver, Aurora, USA
| | - Bradley Boeve
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Rik Vandenberghe
- Department of Neurology, University Hospital Leuven, Leuven, Belgium
| | - Mario Mendez
- Department of Neurology, UCLA Medical Centre, University of California Los Angeles, Los Angeles, USA
| | - Carole Azuar
- Department of Neurology, Hôpital La Pitié Salpêtrière, Paris, France
| | - Richard Levy
- Department of Neurology, Hôpital La Pitié Salpêtrière, Paris, France
| | - Isabelle Le Ber
- Department of Neurology, Hôpital La Pitié Salpêtrière, Paris, France
| | - Sandra Baez
- Department of Psychology, Andes University, Bogota, Colombia
| | - Alan Lerner
- Department of Neurology, University Hospital Cleveland Medical Center, Cleveland, USA
| | - Ratnavalli Ellajosyula
- Department of Neurology, Manipal Hospital and Annasawmy Mudaliar Hospital, Bangalore, India
| | - Florence Pasquier
- Univ Lille, Inserm U1171, Memory Center, CHU Lille, DISTAlz, Lille, France
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Centro Dino Ferrari, Milan, Italy
- Fondazione IRCCS Ca’ Granda, Ospedale Policlinico, Neurodegenerative Diseases Unit Milan, Italy
| | - Elio Scarpini
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Centro Dino Ferrari, Milan, Italy
- Fondazione IRCCS Ca’ Granda, Ospedale Policlinico, Neurodegenerative Diseases Unit Milan, Italy
| | - John van Swieten
- Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | | | - Howard Rosen
- Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - John Hodges
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Janine Diehl-Schmid
- Department of Psychiatry and Psychotherapy, Technical University of Munich, School of Medicine, Munich, Germany
| | - Yolande Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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Brunn M, Diefenbacher A, Volpe-Gillot L. Psychiatrists and neurologists in dementia care: Professionalism, practice, and perspectives. Gen Hosp Psychiatry 2020; 64:105-107. [PMID: 32067822 DOI: 10.1016/j.genhosppsych.2020.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 01/27/2020] [Accepted: 01/27/2020] [Indexed: 11/29/2022]
Affiliation(s)
- Matthias Brunn
- Université de Montpellier, Université de Montpellier, CEPEL, CNRS, 39 rue de l'Université, 34060 Montpellier, France.
| | - Albert Diefenbacher
- Evangelisches Krankenhaus Königin Elisabeth Herzberge, Abteilung für Psychiatrie, Psychotherapie und Psychosomatik, Herzbergstraße 79, 10365 Berlin, Germany.
| | - Lisette Volpe-Gillot
- Hôpital Leopold Bellan, Service de Neuro-Psycho-Gériatrie, 185 C, rue Raymond-Losserand, 75014 Paris, France.
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28
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Vismara M, Cirnigliaro G, Piccoli E, Giorgetti F, Molteni L, Cremaschi L, Fumagalli GG, D'addario C, Dell'Osso B. Crossing Borders Between Frontotemporal Dementia and Psychiatric Disorders: An Updated Overview. J Alzheimers Dis 2020; 75:661-673. [PMID: 32310172 DOI: 10.3233/jad-191333] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Frontotemporal dementia (FTD) includes a group of neurocognitive syndromes, clinically characterized by altered behaviors, impairment of language proficiency, and altered executive functioning. FTD is one of the most frequently observed forms of dementia in the elderly population and the most common in presenile age. As for other subtypes of dementia, FTD incidence is constantly on the rise due to the steadily increasing age of the population, and its recognition is now becoming a determinant for clinicians. FTD and psychiatric disorders can overlap in terms of clinical presentations by sharing a common genetic predisposition and neuropathological mechanism in some cases. Nonetheless, this association is often unclear and underestimated. Since its first reports, research into FTD has constantly grown, with the identification of recent findings related to its neuropathology, genetic, clinical, and therapeutic issues. Literature is thriving on this topic, with numerous research articles published in recent years. In the present review, we aimed to provide an updated description of the clinical manifestations that link and potentially confound the diagnosis of FTD and psychiatric disorders in order to improve their differential diagnosis and early detection. In particular, we systematically reviewed the literature, considering articles specifically focused on the behavioral variant FTD, published after 2015 on the PubMed database.
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Affiliation(s)
- Matteo Vismara
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, Milan, Italy
| | - Giovanna Cirnigliaro
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, Milan, Italy
| | - Eleonora Piccoli
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, Milan, Italy
| | - Federica Giorgetti
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, Milan, Italy
| | - Laura Molteni
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, Milan, Italy
| | - Laura Cremaschi
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, Milan, Italy
| | | | - Claudio D'addario
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy
| | - Bernardo Dell'Osso
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, Milan, Italy.,Department of Psychiatry and Behavioral Sciences, Bipolar Disorders Clinic, Stanford University, Stanford, CA, USA.,"Aldo Ravelli" Center for Neurotechnology and Brain Therapeutic, University of Milan, Milan, Italy.,"Centro per lo studio dei meccanismi molecolari alla base delle patologie neuro-psico-geriatriche", University of Milan, Milan, Italy
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Update on PET in neurodegenerative and neuroinflammatory disorders manifesting on a behavioural level: imaging for differential diagnosis. Curr Opin Neurol 2020; 32:548-556. [PMID: 31107281 DOI: 10.1097/wco.0000000000000706] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW To give an update on recent findings concerning the use of PET for differential diagnosis in neurodegenerative and neuroinflammatory disorders manifesting on a behavioural level. RECENT FINDINGS Although accurate differential diagnosis of dementia can be achieved by imaging disease-specific patterns of cerebral glucose metabolism with [F]fluorodeoxyglucose ([F]FDG)-PET, the diagnostic impact of [F]FDG-PET in primary psychiatric disorders is limited. Amyloid-beta PET provides an incremental value beyond [F]FDG-PET in the differential diagnosis of dementia and was proposed as a biomarker defining the so-called Alzheimer continuum. Recently developed tau-specific tracers might also aid in the diagnostic process (biological definition of Alzheimer's disease together with amyloid-beta). Surpassing the diagnostic accuracy of other techniques, such as MRI, [F]FDG-PET has also gained widespread clinical use for diagnosis and follow-up of paraneoplastic and autoimmune disorders of the central nervous system (CNS) as an important differential diagnosis for rapid progressive dementia and subacute onset of psychiatric syndromes. SUMMARY Molecular neuroimaging with PET is an established method for the differential diagnosis of neurodegenerative and autoimmune CNS disorders manifesting on a behavioural level with significant therapeutic and prognostic impact. Future prospective studies are needed to define the value of tau imaging for diagnosis and prognosis in neurodegenerative disorders.
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Abstract
PURPOSE OF REVIEW This article describes the clinical, anatomic, genetic, and pathologic features of behavioral variant frontotemporal dementia (bvFTD) and discusses strategies to improve diagnostic accuracy, emphasizing common pitfalls to avoid. Key aspects of management and the future of diagnosis and care for the disorder are highlighted. RECENT FINDINGS BvFTD is a clinical syndrome, not a disease. Patients with the syndrome share core symptoms that reflect degeneration within the most consistently affected brain regions, but accompanying features vary and reflect the precise topography of regional degeneration. The clinician must distinguish a bvFTD syndrome from psychiatric illness and other neurodegenerative syndromes that feature a prominent behavioral component. Antemortem prediction of pathologic diagnosis remains imperfect but improves with careful attention to the clinical details. Management should emphasize prevention of caregiver distress, behavioral and environmental strategies, symptom-based psychopharmacology, and genetic counseling. SUMMARY BvFTD is an important and challenging dementia syndrome. Although disease-modifying treatments are lacking, clinicians can have a profound impact on a family coping with this disorder. Treatment trials are under way for some genetic forms of bvFTD. For sporadic disease, pathologic heterogeneity remains a major challenge, and ongoing research seeks to improve antemortem molecular diagnosis to facilitate therapeutic discovery.
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31
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Johnen A, Bertoux M. Psychological and Cognitive Markers of Behavioral Variant Frontotemporal Dementia-A Clinical Neuropsychologist's View on Diagnostic Criteria and Beyond. Front Neurol 2019; 10:594. [PMID: 31231305 PMCID: PMC6568027 DOI: 10.3389/fneur.2019.00594] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 05/20/2019] [Indexed: 12/11/2022] Open
Abstract
Behavioral variant frontotemporal dementia (bvFTD) is the second leading cognitive disorder caused by neurodegeneration in patients under 65 years of age. Characterized by frontal, insular, and/or temporal brain atrophy, patients present with heterogeneous constellations of behavioral and psychological symptoms among which progressive changes in social conduct, lack of empathy, apathy, disinhibited behaviors, and cognitive impairments are frequently observed. Since the histopathology of the disease is heterogeneous and identified genetic mutations only account for ~30% of cases, there are no reliable biomarkers for the diagnosis of bvFTD available in clinical routine as yet. Early detection of bvFTD thus relies on correct application of clinical diagnostic criteria. Their evaluation however, requires expertise and in-depth assessments of cognitive functions, history taking, clinical observations as well as caregiver reports on behavioral and psychological symptoms and their respective changes. With this review, we aim for a critical appraisal of common methods to access the behavioral and psychological symptoms as well as the cognitive alterations presented in the diagnostic criteria for bvFTD. We highlight both, practical difficulties as well as current controversies regarding an overlap of symptoms and particularly cognitive impairments with other neurodegenerative and primary psychiatric diseases. We then review more recent developments and evidence on cognitive, behavioral and psychological symptoms of bvFTD beyond the diagnostic criteria which may prospectively enhance the early detection and differential diagnosis in clinical routine. In particular, evidence on specific impairments in social and emotional processing, praxis abilities as well as interoceptive processing in bvFTD is summarized and potential links with behavior and classic cognitive domains are discussed. We finally outline both, future opportunities and major challenges with regard to the role of clinical neuropsychology in detecting bvFTD and related neurocognitive disorders.
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Affiliation(s)
- Andreas Johnen
- Section for Neuropsychology, Department of Neurology, University Hospital Münster, Münster, Germany
| | - Maxime Bertoux
- Univ Lille, Inserm UMR 1171 Degenerative and Vascular Cognitive Disorders, CHU Lille, Lille, France
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32
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Schizophrenia Phenotype Preceding Behavioral Variant Frontotemporal Dementia Related to C9orf72 Repeat Expansion. Cogn Behav Neurol 2019; 32:120-123. [DOI: 10.1097/wnn.0000000000000189] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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33
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Factors that predict diagnostic stability in neurodegenerative dementia. J Neurol 2019; 266:1998-2009. [PMID: 31102021 DOI: 10.1007/s00415-019-09362-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 05/01/2019] [Accepted: 05/03/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To determine the frequency and characteristics of clinical diagnostic change in frontotemporal dementia (FTD)-spectrum syndromes and Alzheimer's disease (AD)-type dementia. METHODS We reviewed records and categorized diagnostic changes in patients seen ≥ 2 times with behavioral variant FTD (bvFTD, n = 99), nonfluent and semantic variant primary progressive aphasia (nfvPPA, n = 32; svPPA, n = 59), corticobasal syndrome (CBS, n = 40), progressive supranuclear palsy-Richardson syndrome (PSP-RS, n = 34), and AD-type dementia (n = 49). For bvFTD, we compared patients with and without diagnostic change, and assessed predictors of diagnostic change by logistic regression. RESULTS Initial diagnoses changed infrequently at subsequent visits in svPPA (6.8%), PSP-RS (8.8%), and nfvPPA (12.5%), with rare changes largely involving clinicopathological overlap or diagnostic ambiguity. Changes in AD-type dementia (30.6%) and CBS (37.5%) were more common, but reflected greater specificity, predicted co-pathology, or overlapping syndromes. Diagnostic change in bvFTD was also common (32.3%), but more diverse, including motor neuron disease development, alternative neurodegenerative syndromes, and non-neurodegenerative diseases. Diagnostic change occurred more often in those who met possible rather than probable bvFTD criteria (70.6% vs 15.3%, p < 0.001). Patients with stable diagnoses showed greater overall impairment, bvFTD behavioral severity, and atrophy in core right-hemisphere bvFTD regions. Patients with diagnostic change had more severe depression (p < 0.05) and more frequent contributing, secondary diagnoses (p = 0.01), such as cerebrovascular disease. By logistic regression, the accuracy of predicting stable bvFTD diagnoses using first-visit data was 80%. CONCLUSION bvFTD displays more diverse diagnostic change than other neurodegenerative syndromes. First-visit bvFTD diagnoses may waver if based on meeting possible criteria only.
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34
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Zhutovsky P, Vijverberg EGB, Bruin WB, Thomas RM, Wattjes MP, Pijnenburg YAL, van Wingen GA, Dols A. Individual Prediction of Behavioral Variant Frontotemporal Dementia Development Using Multivariate Pattern Analysis of Magnetic Resonance Imaging Data. J Alzheimers Dis 2019; 68:1229-1241. [PMID: 30909224 DOI: 10.3233/jad-181004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Patients with behavioral variant of frontotemporal dementia (bvFTD) initially may only show behavioral and/or cognitive symptoms that overlap with other neurological and psychiatric disorders. The diagnostic accuracy is dependent on progressive symptoms worsening and frontotemporal abnormalities on neuroimaging findings. Predictive biomarkers could facilitate the early detection of bvFTD. OBJECTIVE To determine the prognostic accuracy of clinical and structural MRI data using a support vector machine (SVM) classification to predict the 2-year clinical follow-up diagnosis in a group of patients presenting late-onset behavioral changes. METHODS Data from 73 patients were included and divided into probable/definite bvFTD (n = 18), neurological (n = 28), and psychiatric (n = 27) groups based on 2-year follow-up diagnosis. Grey-matter volumes were extracted from baseline structural MRI scans. SVM classifiers were used to perform three binary classifications: bvFTD versus neurological and psychiatric, bvFTD versus neurological, and bvFTD versus psychiatric group(s), and one multi-class classification. Classification performance was determined for clinical and neuroimaging data separately and their combination using 5-fold cross-validation. RESULTS Accuracy of the binary classification tasks ranged from 72-82% (p < 0.001) with adequate sensitivity (67-79%), specificity (77-88%), and area-under-the-receiver-operator-curve (0.80-0.9). Multi-class accuracy ranged between 55-59% (p < 0.001). The combination of clinical and voxel-wise whole brain data showed the best performance overall. CONCLUSION These results show the potential for automated early confirmation of diagnosis for bvFTD using machine learning analysis of clinical and neuroimaging data in a diverse and clinically relevant sample of patients.
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Affiliation(s)
- Paul Zhutovsky
- Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Everard G B Vijverberg
- Amsterdam UMC, VU University Medical Center, Department of Neurology and Alzheimer Centre, Amsterdam Neuroscience, Amsterdam, The Netherlands.,Department of Neurology, HagaZiekenhuis, The Hague, The Netherlands
| | - Willem B Bruin
- Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Rajat M Thomas
- Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Mike P Wattjes
- Amsterdam UMC, VU University Medical Center, Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam, The Netherlands.,Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| | - Yolande A L Pijnenburg
- Amsterdam UMC, VU University Medical Center, Department of Neurology and Alzheimer Centre, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Guido A van Wingen
- Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Annemiek Dols
- Amsterdam UMC, VU University Medical Center, Department of Neurology and Alzheimer Centre, Amsterdam Neuroscience, Amsterdam, The Netherlands.,Department of Old Age Psychiatry, GGZ InGeest, Amsterdam, The Netherlands
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35
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Ducharme S, Pearl-Dowler L, Gossink F, McCarthy J, Lai J, Dickerson BC, Chertkow H, Rapin L, Vijverberg E, Krudop W, Dols A, Pijnenburg Y. The Frontotemporal Dementia versus Primary Psychiatric Disorder (FTD versus PPD) Checklist: A Bedside Clinical Tool to Identify Behavioral Variant FTD in Patients with Late-Onset Behavioral Changes. J Alzheimers Dis 2019; 67:113-124. [DOI: 10.3233/jad-180839] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, Montreal, QC, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Leora Pearl-Dowler
- Department of Psychiatry, McGill University Health Centre, Montreal, QC, Canada
| | - Flora Gossink
- Department of Old Age Psychiatry, GGZinGeest/Amsterdam University Medical Centre, Amsterdam, The Netherlands
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience Campus, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jillian McCarthy
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Jimmy Lai
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Bradford C. Dickerson
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Howard Chertkow
- Department of Neurology, Jewish General Hospital, McGill University, Montreal, QC, Canada
| | - Lucile Rapin
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Everard Vijverberg
- Department of Old Age Psychiatry, GGZinGeest/Amsterdam University Medical Centre, Amsterdam, The Netherlands
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience Campus, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Welmoed Krudop
- Department of Old Age Psychiatry, GGZinGeest/Amsterdam University Medical Centre, Amsterdam, The Netherlands
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience Campus, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Annemieke Dols
- Department of Old Age Psychiatry, GGZinGeest/Amsterdam University Medical Centre, Amsterdam, The Netherlands
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience Campus, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Yolande Pijnenburg
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience Campus, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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36
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Di Battista ME, Dell'Acqua C, Baroni L, Fenoglio C, Galimberti D, Gallucci M. Frontotemporal Dementia Misdiagnosed for Post-Treatment Lyme Disease Syndrome or vice versa? A Treviso Dementia (TREDEM) Registry Case Report. J Alzheimers Dis 2018; 66:445-451. [PMID: 30282363 DOI: 10.3233/jad-180524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
We describe the case of a 61-year-old woman diagnosed with Borreliosis at the age of 57. Subsequently, the patient developed depression, anxiety, and behavioral disturbances. A lumbar puncture excluded the condition of Neuroborreliosis. The diagnostic workup included: an MRI scan, a 18F-FDG PET, a 123I-ioflupane-SPECT, an amyloid-β PET, a specific genetic analysis, and a neuropsychological evaluation. Based on our investigation, the patient was diagnosed with probable behavioral-frontotemporal dementia (bvFTD), whereas in the previous years, the patient had been considered firstly as a case of Post-Treatment-Lyme Disease and, secondly, a psychiatric patient. We believe that, in the present case, such initial symptoms of Borrelia infection may have superimposed on those of bvFTD rather than playing as a contributory cause.
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Affiliation(s)
| | - Carola Dell'Acqua
- Cognitive Impairment Center, Local Health Autority n.2 Marca Trevigiana, Treviso, Italy
| | - Luciana Baroni
- Cognitive Impairment Center, Local Health Autority n.2 Marca Trevigiana, Treviso, Italy
| | | | - Daniela Galimberti
- University of Milan, Centro Dino Ferrari, Milan, Italy.,Fondazione IRCSS Ca' Granda, Ospedale Policlinico, Neurodegenerative Diseases Unit, Milan, Italy
| | - Maurizio Gallucci
- Cognitive Impairment Center, Local Health Autority n.2 Marca Trevigiana, Treviso, Italy
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37
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Nazem A, Tang CC, Spetsieris P, Dresel C, Gordon ML, Diehl-Schmid J, Grimmer T, Yakushev I, Mattis PJ, Ma Y, Dhawan V, Eidelberg D. A multivariate metabolic imaging marker for behavioral variant frontotemporal dementia. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2018; 10:583-594. [PMID: 30417069 PMCID: PMC6215979 DOI: 10.1016/j.dadm.2018.07.009] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Introduction The heterogeneity of behavioral variant frontotemporal dementia (bvFTD) calls for multivariate imaging biomarkers. Methods We studied a total of 148 dementia patients from the Feinstein Institute (Center-A: 25 bvFTD and 10 Alzheimer's disease), Technical University of Munich (Center-B: 44 bvFTD and 29 FTD language variants), and Alzheimer's Disease Neuroimaging Initiative (40 Alzheimer's disease subjects). To identify the covariance pattern of bvFTD (behavioral variant frontotemporal dementia–related pattern [bFDRP]), we applied principal component analysis to combined 18F-fluorodeoxyglucose–positron emission tomography scans from bvFTD and healthy subjects. The phenotypic specificity and clinical correlates of bFDRP expression were assessed in independent testing sets. Results The bFDRP was identified in Center-A data (24.1% of subject × voxel variance; P < .001), reproduced in Center-B data (P < .001), and independently validated using combined testing data (receiver operating characteristics–area under the curve = 0.97; P < .0001). The expression of bFDRP was specifically elevated in bvFTD patients (P < .001) and was significantly higher at more advanced disease stages (P = .035:duration; P < .01:severity). Discussion The bFDRP can be used as a quantitative imaging marker to gauge the underlying disease process and aid in the differential diagnosis of bvFTD.
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Affiliation(s)
- Amir Nazem
- Elmezzi Graduate School of Molecular Medicine, Manhasset, NY, USA.,Center for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Chris C Tang
- Center for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Phoebe Spetsieris
- Center for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Christian Dresel
- Center for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Marc L Gordon
- Department of Neurology, Northwell Health, Manhasset, NY, USA.,Litwin-Zucker Research Center for the Study of Alzheimer's Disease, The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Janine Diehl-Schmid
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Timo Grimmer
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Igor Yakushev
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Paul J Mattis
- Center for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Yilong Ma
- Center for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Vijay Dhawan
- Center for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - David Eidelberg
- Center for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, NY, USA
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