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Frontotemporal Lobar Degeneration

Frontotemporal Lobar Degeneration (FTLD) is a group of neurodegenerative disorders characterized by progressive atrophy of the frontal and temporal lobes of the brain.
This condition is associated with changes in personality, behavior, language, and cognition.
FTLD can be further classified into several subtypes based on the specific patterns of brain atrophy and the underlying pathological proteins involved.
Accurate diagnosis and understanding of FTLD is crucial for proper management and research into potential therapies.
PubCompare.ai's AI-driven platfrom can help researchers easily locate relevant protocols from literature, preprints, and patents, and leverage the power of AI-comparisons to identify the best approaches for their FTLD studies.
This can enhance reproducibility and accuracy, ultimately advancing our knowledge and treatment of this complex neurodegenerative disorder.

Most cited protocols related to «Frontotemporal Lobar Degeneration»

The MDS-PSP criteria were generated by the MDS-PSP study group in a three-step approach.
First, we performed a systematic literature review covering the time since publication of the NINDS-SPSP criteria. In brief, the steering committee (G.U.H., M.S., A.L.B., L.I.G., and I.L.) assembled expert working groups for specific questions relevant to the diagnosis of PSP. We searched the PubMed, Cochrane, Medline, and PSYCInfo databases for articles, systematic reviews, and meta-analyses published in English from 1996 to 2015, applying either postmortem diagnosis or the NINDS-SPSP criteria. Study group members were encouraged to add relevant articles to be considered throughout the project period (end of 2016), particularly those published after 2015. The literature was analyzed following the Scottish Intercollegiate Guidelines Network recommendations.37 From N = 5,903 identified articles, N = 462 met the inclusion standards. The literature-based evidence was then summarized by the working groups for imaging and clinical aspects and is published in detail in accompanying papers in this issue of Movement Disorders.38 ,39 Second, we collected the largest autopsy-confirmed case series reported so far for PSP and disease controls (CBD, MSA-P, PD, and FTLD-bvFTD) from nine brain banks with a proven track record of a close collaboration with tertiary clinical referral centers, both with excellent experience in neurodegenerative diseases (Amsterdam, Netherlands; Baltimore, MD; Barcelona, Spain; Bordeaux, France; London, UK; Lund, Sweden; Munich, Germany; Philadelphia, PA; and Saskatchewan, Canada). High-quality original natural history data were available from patients with autopsy-confirmed PSP (N = 206), CBD (N = 54), MSA-P (N = 51), PD (N = 53), and FTLD-bvFTD (N = 73). We extracted demographic data and predefined clinical features (absence/presence/onset) in a standardized manner locally from the clinical records and collected them centrally. These data were used to estimate and stratify the diagnostic value of the clinical items selected from a comprehensive literature review and are reported in detail in an accompanying paper.38 Third, on the basis of the evidence obtained in the first two steps, the steering committee drafted an initial proposal of the criteria, which was distributed to the MDS-PSP study group members. They provided written feedback to the process coordinator (G.U.H.), who incorporated the comments into optimized criteria in two modified Delphi rounds. In March 2016, the group convened for a 2-day consensus meeting in Munich to present and discuss all aspects of the criteria (structure, basic features, exclusion criteria, core functional domains, operationalized clinical features, supportive findings, imaging, biomarkers, and genetics). For each of these items, the data obtained in the first two steps were presented by the subgroup coordinators. Thereafter, the written draft of the criteria was discussed stepwise. Modifications were integrated until the entire group unanimously agreed to the items under discussion. After the meeting, the written document was circulated again and optimized in three further Delphi rounds, in particular, dealing with precise wording, operationalized definition of clinical examination guidelines, and newly evolving aspects, such as tau PET imaging. After final approval, the current manuscript was written (G.U.H.) and circulated to incorporate final modifications.
Here, we present the MDS clinical diagnostic criteria for PSP.
Publication 2017
Autopsy Biological Markers Brain Diagnosis Frontotemporal Lobar Degeneration Movement Disorders Neurodegenerative Disorders Patients

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Publication 2011
Alzheimer's Disease Aphasia Biopharmaceuticals Brain Broca Aphasia Chromosomes, Human, Pair 20 Corticobasal Degeneration Dementia Diagnosis Electromyography Family Member Frontotemporal Dementia Frontotemporal Lobar Degeneration Memory Deficits Neurodegenerative Disorders Neurologic Examination Neuropsychological Tests Parkinsonian Disorders Patients Phenotype protein TDP-43, human Schizophrenia Semantic Dementia Vision
We included 76 patients with a clinical diagnosis of ALS (Table 1) in accordance with modified El Escorial Criteria15 and a confirmed neuropathological diagnosis of ALS, who underwent autopsy in the Center for Neurodegenerative Disease Research (CNDR) at the University of Pennsylvania between 1985 and 2012. Informed written consent was obtained previously from all patients or for autopsy cases from their next of kin. Detailed clinical characteristics (age at onset, age at death, site of onset, disease duration, ALS global disease severity as measured by a functional rating score [ALSFRS-R],16 (link) the Mini Mental Status Examination,17 (link) and gender), were ascertained from an integrated clinical and autopsy database, as described previously,18 and by retrospective chart review of clinical visits within the University of Pennsylvania Health System (Table 1).
The majority of the ALS patients were seen by two neurologists (LE, LM). We excluded all ALS cases in the CNDR Brain Bank (N=35) for which clinical data relating to site of onset or disease duration was incomplete or equivocal. Also excluded were 6 cases, for which ≥ 3/22 CNS regions examined (see below) were unavailable, and 2 cases lacking pTDP-43 pathology, leaving a cohort of N=76 (N=30 females, N=46 males; age range 42-87 years; mean age ± SD: 63.0 ± 10.6 years from a total of 119 autopsy cases (Tables 1-2). For the subjects with missing data, their gender, disease duration, and age of death were compared to the other cases and no differences were found (data not shown). Different ALS syndromes were defined according to clinical onset of disease: cervical lower motor neuron (CLMN) ALS, lumbar lower motor neuron (LLMN) ALS, lumbar upper motor neuron (LUMN) ALS, bulbar lower motor neuron (BLMN) ALS, and bulbar upper motor neuron (BUMN) ALS.19 None of the cases in the cohort had cervical UMN onset of disease (Table 1). Unless otherwise specified, results of clinical testing used in this study were from the visits at initial presentation or disease onset (first occurrence of paresis or bulbar symptoms, e.g., dysarthria, dysphagia) as well as the visit most proximate to death, i.e., occurring within 3 months of death. Of the ALS cases included here, 5 (6.6%) had a clinical history of dementia (ALS-D) (Table 2), and met criteria for FTLD.20 (link)-22 (link)
Publication 2013
Autopsy Brain Diseases Cervix Diseases Deglutition Disorders Dementia Diagnosis Dysarthria Females Frontotemporal Lobar Degeneration Lumbar Region Males Medulla Oblongata Mini Mental State Examination Motor Neurons Neck Neurodegenerative Disorders Neurologists Paresis Patients Syndrome
The following cases from the Center for Neuropathology and Prion Research (Munich, Germany), Center for Neurodegenerative Disease Research (Philadelphia, USA) and Department of Neuropathology (Aalborg, Denmark) were included in the study: i) familial FTLD-U with linkage to chrom 9p (n=4), GRN (n=5), and VCP (n= 4) mutations; ii) FTLD-U either sporadic or familial with unknown genetic defect (subtype 1 (n=14); subtype 2 (n=19); subtype 3 (n=18) according to [33 (link)]); iii) ALS (n=18); iv) Tauopathies with concomitant TDP-43 pathology (AD+TDP-43 (n=3); CBD+TDP-43 (n=2). Cases of FTLD-U had a clinical diagnosis of the FTD spectrum (behavioural variant of FTD, progressive non-fluent aphasia, semantic dementia) with or without concomitant MND. Cases of ALS had clinical signs of MND with some of them developing cognitive changes only late in disease process. In addition, healthy controls (n=5), AD without TDP-43 pathology (n=5), CBD without TDP-43 (n=4) and TDP-43 negative FTLD-U cases (n=9) [31 (link)] were included. Demographic, clinical and neuropathological data are summarized in Table 1.
Publication 2009
Broca Aphasia Chromium Cognition Disorders Congenital Abnormality Diagnosis Frontotemporal Lobar Degeneration Mutation Neurodegenerative Disorders Prions protein TDP-43, human Semantic Dementia Tauopathies

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Publication 2010
Biological Markers Central Core Disease Frontotemporal Lobar Degeneration Joints Neurodegenerative Disorders Patients

Most recents protocols related to «Frontotemporal Lobar Degeneration»

Authorizations for reporting these three cases were granted by the Eastern Ontario Regional Forensic Unit and the Laboratoire de Sciences Judiciaires et de Médecine Légale du Québec.
The sampling followed a relatively standardized protocol for all TBI cases: samples were collected from the cortex and underlying white matter of the pre-frontal gyrus, superior and middle frontal gyri, temporal pole, parietal and occipital lobes, deep frontal white matter, hippocampus, anterior and posterior corpus callosum with the cingula, lenticular nucleus, thalamus with the posterior limb of the internal capsule, midbrain, pons, medulla, cerebellar cortex and dentate nucleus. In some cases, gross pathology (e.g. contusions) mandated further sampling along with the dura and spinal cord if available. The number of available sections for these three cases was 26 for case1, and 24 for cases 2 and 3.
For the detection of ballooned neurons, all HE or HPS sections, including contusions, were screened at 200×.
Representative sections were stained with either hematoxylin–eosin (HE) or hematoxylin-phloxin-saffron (HPS). The following histochemical stains were used: iron, Luxol-periodic acid Schiff (Luxol-PAS) and Bielschowsky. The following antibodies were used for immunohistochemistry: glial fibrillary acidic protein (GFAP) (Leica, PA0026,ready to use), CD-68 (Leica, PA0073, ready to use), neurofilament 200 (NF200) (Leica, PA371, ready to use), beta-amyloid precursor-protein (β-APP) (Chemicon/Millipore, MAB348, 1/5000), αB-crystallin (EMD Millipore, MABN2552 1/1000), ubiquitin (Vector, 1/400), β-amyloid (Dako/Agilent, 1/100), tau protein (Thermo/Fisher, MN1020 1/2500), synaptophysin (Dako/Agilent, ready to use), TAR DNA binding protein 43 (TDP-43) ((Protein Tech, 10,782-2AP, 1/50), fused in sarcoma binding protein (FUS) (Protein tech, 60,160–1-1 g, 1/100), and p62 (BD Transduc, 1/25). In our index cases, the following were used for the evaluation of TAI: β-APP, GFAP, CD68 and NF200; for the neurodegenerative changes: αB-crystallin, NF200, ubiquitin, tau protein, synaptophysin, TDP-43, FUS were used.
For the characterization of the ballooned neurons only, two cases of fronto-temporal lobar degeneration, FTLD-Tau, were used as controls. One was a female aged 72 who presented with speech difficulties followed by neurocognitive decline and eye movement abnormalities raising the possibility of Richardson’s disorder. The other was a male aged 67 who presented with a primary non-fluent aphasia progressing to fronto-temporal demαentia. In both cases, the morphological findings were characteristic of a corticobasal degeneration.
Publication 2023
Amyloid beta-Protein Precursor Amyloid Proteins Antibodies Broca Aphasia Cloning Vectors Congenital Abnormality Contusions Corpus Callosum Cortex, Cerebellar Cortex, Cerebral Corticobasal Degeneration Crystallins Dura Mater Eosin Eye Abnormalities Eye Movements Frontotemporal Lobar Degeneration FUBP1 protein, human Glial Fibrillary Acidic Protein Hematoxylin Immunohistochemistry Internal Capsule Iron Males Medial Frontal Gyrus Medulla Oblongata Mesencephalon Movement Movement Disorders neurofilament protein H Neurons Nucleus, Dentate Nucleus, Lenticular Occipital Lobe Periodic Acid phloxine Pons Proteins protein TDP-43, human RNA-Binding Protein FUS Saffron Sarcoma Seahorses Speech Spinal Cord Staining Synaptophysin Temporal Lobe Thalamus Ubiquitin White Matter Woman
Whole-brain VBM analysis was performed on grey matter images using SPM12. Multiple regressions (controlling for age, sex, scanner type and total intracranial volume) were performed across all diagnoses on each of the seven components. To account for the effect of atrophy typical of specific degenerative diseases, an additional analysis was performed controlling for diagnoses. To reduce the number of covariates in our model, diagnoses were dummy coded and consolidated into three broad groups—those commonly associated with underlying frontotemporal lobar degeneration (semantic variant primary progressive aphasia, behavioural variant frontotemporal dementia, nonfluent variant primary progressive aphasia and progressive supranuclear palsy—Richardson syndrome), those associated with underlying Alzheimer’s disease and those with less predictable clinicopathological association (corticobasal syndrome). Patients with mild cognitive impairment were evaluated with longitudinal diagnostic data, if available, to determine a progression to Alzheimer’s disease. Only mild cognitive impairment patients who met diagnostic criteria for Alzheimer’s disease at a later time point were coded in the Alzheimer’s disease group (n = 14). Two mild cognitive impairment patients met diagnostic criteria at a later time point for frontotemporal dementia and were coded with the frontotemporal lobar degeneration group. Patients that did not progress to frontotemporal dementia or Alzheimer’s disease were coded with the healthy controls (n = 36). The threshold for statistical significance was set at peak-level P < 0.05 after family-wise error (FWE) correction for multiple comparisons. Results were examined using BSPMVIEW30 , a MATLAB extension at both peak-level FWE P < 0.05 and at a level of P < 0.001 uncorrected for multiple comparisons with a minimum extent threshold of 10. Voxel-based morphometry maps were visualized and produced using MRIcroGL 64.31 (link) To confirm the presence of the expected diagnosis-specific atrophy patterns in this cohort, a VBM analysis was performed to compare each diagnostic group with healthy controls (Supplementary Fig. 2).
Publication 2023
Alzheimer's Disease Aphasia, Semantic Atrophy Brain Cognitive Impairments, Mild Corticobasal Degeneration Diagnosis Disease Progression Frontotemporal Lobar Degeneration Gray Matter Microtubule-Associated Proteins Patients Pick Disease of the Brain Primary Progressive Nonfluent Aphasia Progressive Supranuclear Palsy

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Publication 2023
Amyotrophic Lateral Sclerosis Ataxia, Spinocerebellar Autopsy Cognition Demyelinating Diseases Diagnosis Disorders, Cognitive Frontotemporal Lobar Degeneration Huntington Disease Leukoencephalopathy Malformations of Cortical Development Multiple Sclerosis Neoplasms Patients Prion Diseases Respiratory Diaphragm Trinucleotide Repeats
Each participant underwent a standardized neuropsychological assessment battery. Global cognitive screening was performed using the MMSE, and disease severity was assessed using the CDR® and the 6 domains of CDR® plus the behaviour/comportment and language domains (CDR® plus NACC FTLD). The severity of behavioural abnormalities was assessed using the Frontal Behaviour Inventory (FBI), which can be separated into the negative apathy symptom subscale (first 12 items) and the positive disinhibition symptom subscale (last 12 items). Executive function was evaluated using the Trail Making Test (TMT) and the Stroop I and II tests. Language deficits were tested using the 30-item Boston Naming Test (BNT). Activities of living were assessed by the following scales: activities of daily living (ADL).
Controls in our plasma cohort did not complete the FBI, TMT, BNT and ADL scales. To clearly show how affected the patients truly are, we calculated the z scores by selecting another group of controls who were age- and sex-matched with bvFTD patients and completed the FBI, TMT, BNT and ADL scales.
Publication 2023
Apathy Cognition Executive Function Frontotemporal Lobar Degeneration Mini Mental State Examination Neuropsychological Tests Patients Plasma Problem Behavior
Research approval was obtained from the People's Hospital of China Three Gorges University's Ethics Committee (approval No: PJ-KY2021-26). Patients were retrospectively screened from the China Three Gorges University affiliated People's Hospital from January 2015 to December 2020 and were collected from a hospital-based electronic database. We included subjects who were diagnosed with AD and had comorbidities on admission, a primary diagnosis on admission, and a main diagnoses based on the International Classification of Diseases (9th edition), Clinical modification (ICD-9-CM; WHO 1999) codes (290.0–290.3, 294.1–294.2, and 331.0) and the International Classification of Diseases (10th edition) codes (G30.0–G30.1 and G30.8–G30.9). The enrolled patients had visited in the emergency department or outpatient department due to various clinical manifestations (including fever, cough, chest tightness, chest pain, palpitation, fatigue, edema, abdominal pain, diarrhea, loss of appetite, dizziness, headache, etc.) and were admitted to general wards by the outpatient department or emergency department. The inclusion criteria were as follows: (1) an AD discharge diagnosis and hospitalization for at least 24 h and (2) aged 60 years and over. The exclusion criteria were as follows: (1) basic information could not be obtained (2) vascular dementia, frontotemporal lobar degeneration, Lewy bodies dementia, Huntington's disease and mixed dementia (3) patients admitted to the intensive care unit, and (4) previous medical history information was missing. Demographic, patient comorbidities, and outcome information were collected from electronic medical records.
Publication 2023
Abdominal Pain Anorexia Chest Chest Pain Cough Dementia, Vascular Diagnosis Diarrhea Edema Ethics Committees, Clinical Fatigue Fever Frontotemporal Lobar Degeneration Headache Hospitalization Huntington Disease Lewy Body Disease Mixed Dementias Outpatients Patient Discharge Patients

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More about "Frontotemporal Lobar Degeneration"

Frontotemporal Lobar Degeneration (FTLD) is a group of neurodegenerative disorders characterized by progressive atrophy, or shrinkage, of the frontal and temporal lobes of the brain.
This condition is associated with changes in personality, behavior, language, and cognition.
FTLD can be further classified into several subtypes based on the specific patterns of brain atrophy and the underlying pathological proteins involved.
Accurate diagnosis and understanding of FTLD is crucial for proper management and research into potential therapies.
Researchers can utilize PubCompare.ai's AI-driven platform to easily locate relevant protocols from literature, preprints, and patents.
This platform can also leverage the power of AI-comparisons to help identify the best approaches for FTLD studies, enhancing reproducibility and accuracy, and ultimately advancing our knowledge and treatment of this complex neurodegenerative disorder.
FTLD is also known by the terms frontotemporal dementia (FTD), Pick's disease, and others.
The condition can be studied using various tools and techniques, such as Stata/MP 16.1 for statistical analysis, SPSS Statistics 25 for data management and analysis, and the RNAqueous kit and QIAamp DNA blood mini extraction kit for RNA and DNA extraction, respectively.
SPSS 20.0 can also be used for data analysis, while the RNA 6000 Nano Chip and Whole Genome DASL assay can be employed for RNA analysis.
High-throughput sequencing platforms like the HiSeq X can be used for genomic studies, and the Agilent Bioanalyzer can provide insights into the quality and quantity of nucleic acids.
By utilizing these tools and techniques, researchers can gain a deeper understanding of the underlying mechanisms and potential therapies for Frontotemporal Lobar Degeneration.