Related Experiment Video
Updated: May 5, 2026

Author Spotlight: Overcoming Challenges in Drosophila Sleep Measurement Using DAM System
Published on: October 20, 2023
A proposal of new diagnostic pathway for fatal familial insomnia
A Krasnianski1, P Sanchez Juan, Claudia Ponto
1Clinical Dementia Center and National Reference Center for TSE at Department of Neurology Georg-August University, , Göttingen, Germany.
Background:
In absence of a positive family history, the diagnosis of fatal familial insomnia (FFI) might be difficult because of atypical clinical features and low sensitivity of diagnostic tests. FFI patients usually do not fulfil the established classification criteria for Creutzfeldt-Jakob disease (CJD); therefore, a prion disease is not always suspected.
Objective:
To propose an update of diagnostic pathway for the identification of patients for the analysis of D178-M129 mutation.
Design And Methods:
Data on 41 German FFI patients were analysed. Clinical symptoms and signs, MRI, PET, SPECT, polysomnography, EEG and cerebrospinal fluid biomarkers were studied.
Results:
An algorithm was developed which correctly identified at least 81% of patients with the FFI diagnosis during early disease stages. It is based on the detection of organic sleep disturbances, either verified clinically or by a polysomnography, and a combination of vegetative and focal neurological signs and symptoms. Specificity of the approach was tested on three cohorts of patients (MM1 sporadic CJD patients, non-selected sporadic CJD and other neurodegenerative diseases).
Conclusions:
The proposed scheme may help to improve the clinical diagnosis of FFI. As the sensitivity of all diagnostic tests investigated but polysomnography is low in FFI, detailed clinical investigation is of special importance.
Insights
Diagnosing fatal familial insomnia (FFI) is challenging without family history. A new diagnostic pathway, combining sleep disturbances with neurological signs, aids early identification of FFI patients for genetic testing.
Area of Science:
- Neuroscience
- Genetics
- Sleep Medicine
Background:
- Fatal familial insomnia (FFI) diagnosis is difficult due to atypical presentations and low test sensitivity, often preventing suspicion of prion disease.
- FFI patients frequently do not meet Creutzfeldt-Jakob disease (CJD) diagnostic criteria, complicating early identification.
Purpose of the Study:
- To propose an updated diagnostic pathway for identifying patients for D178-M129 mutation analysis.
- To improve the clinical diagnosis of fatal familial insomnia.
Main Methods:
- Analysis of clinical data from 41 German FFI patients.
- Evaluation of symptoms, MRI, PET, SPECT, polysomnography, EEG, and CSF biomarkers.
- Development and testing of a diagnostic algorithm using clinical and polysomnography data.
Main Results:
- An algorithm was developed that identified at least 81% of FFI patients in early disease stages.
- The algorithm combines organic sleep disturbances (clinical or polysomnography-verified) with vegetative and focal neurological signs.
- Algorithm specificity was validated against sporadic CJD and other neurodegenerative disease cohorts.
Conclusions:
- The proposed diagnostic scheme can enhance clinical FFI diagnosis.
- Polysomnography demonstrates higher sensitivity compared to other investigated diagnostic tests in FFI.
- Thorough clinical investigation is crucial for accurate FFI diagnosis due to the low sensitivity of most diagnostic tests.
More Related Videos
08:33Olfactory Neurons Obtained through Nasal Biopsy Combined with Laser-Capture Microdissection: A Potential Approach to Study Treatment Response in Mental Disorders
Published on: December 4, 2014
07:08A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status
Published on: October 20, 2016
Related Concept Videos
Management of Insomnia
Alzheimer Disease ll: Pathophysiology
Huntington Disease l: Introduction
Narcolepsy
The Intrinsic Apoptotic Pathway
Insomnia
Multiple factors contribute...