Disorders of Consciousness: Differential Diagnosis and Neuropathologic Features

1997 ◽  
Vol 17 (02) ◽  
pp. 105-111 ◽  
Author(s):  
Joseph Giacino
Keyword(s):  
Differential Diagnosis ◽  
Disorders Of Consciousness

The discriminative value of blood gas analysis parameters in the differential diagnosis of transient disorders of consciousness

2018 ◽  
Vol 265 (9) ◽  
pp. 2106-2113 ◽  
Author(s):  
Karmele Olaciregui Dague ◽  
R. Surges ◽  
J. Litmathe ◽  
L. Villa ◽  
J. Brokmann ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Blood Gas Analysis ◽  
Gas Analysis ◽  
Disorders Of Consciousness ◽  
Blood Gas ◽  
Discriminative Value

scholarly journals Effectiveness of methods of differential diagnosis of paroxysmal disorders of consciousness in children

2018 ◽  
Vol 20 (3) ◽  
pp. 62-66
Author(s):  
V I Guseva ◽  
M M Odinak ◽  
O V Guseva ◽  
V V Guseva ◽  
E M Bulatova ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Focal Epilepsy ◽  
Age Groups ◽  
Disorders Of Consciousness ◽  
Idiopathic Epilepsy ◽  
Number Of Children ◽  
Comprehensive Examination ◽  
Paroxysmal Disorders ◽  
Comprehensive Survey ◽  
The Difference

Abstrast. Clinical, electrophysiological and neuroimaging methods used for differential diagnosis of different forms of epileptic and nonepileptic paroxysms in children in the early stages of the disease are considered. 527 patients aged 1 to 18 years were examined. As a result of a comprehensive survey, taking into account the data of video-electroencephalogram monitoring, 317 patients with epilepsy with a significant predominance of symptomatic forms of epilepsy were revealed, of which 166 (42,37%) patients had focal forms, 36 (11,36%) patients - generalized. A significant number of children were found to have conditionally symptomatic focal epilepsy - 94 (29,65%), only 4 (1,26%) patients - with Landau - Kleffner syndrome and a relatively small group - 17 (5,36%) patients with idiopathic epilepsy. Nonepileptic paroxysms were more common in boys in all age groups except for children from 1 to 3 years, but in this group of children the difference in the frequency of different paroxysms is insignificant (0,48%). In the frequency of nonepileptic paroxysms significantly prevailed in boys aged 3 to 6 years (13,33%) and 6 to 9 years (11,43%). In girls, nonepileptic paroxysms were more common at the age of 3 to 6 years (10,48%) and from 1 to 3 years (9,95%). A comprehensive examination allowed to differentiate children with epileptic and nonepileptic paroxysms and to clarify their diagnoses. With a refined diagnosis of nonepileptic paroxysms, 210 patients were found. The results indicate the need for a thorough comprehensive examination of children suffering from paroxysmal disorders of consciousness to avoid erroneous diagnosis.

Multiplex and Multilayer Network EEG Analyses: A Novel Strategy in the Differential Diagnosis of Patients with Chronic Disorders of Consciousness

2020 ◽  
pp. 2050052 ◽  
Author(s):  
Antonino Naro ◽  
Maria Grazia Maggio ◽  
Antonino Leo ◽  
Rocco Salvatore Calabrò
Keyword(s):  
Differential Diagnosis ◽  
Minimally Conscious State ◽  
Single Layer ◽  
Brain Structures ◽  
Conscious State ◽  
Disorders Of Consciousness ◽  
Multilayer Network ◽  
Network Analyses ◽  
Minimally Conscious ◽  
Network Metrics

The deterioration of specific topological network measures that quantify different features of whole-brain functional network organization can be considered a marker for awareness impairment. Such topological measures reflect the functional interactions of multiple brain structures, which support the integration of different sensorimotor information subtending awareness. However, conventional, single-layer, graph theoretical analysis (GTA)-based approaches cannot always reliably differentiate patients with Disorders of Consciousness (DoC). Using multiplex and multilayer network analyses of frequency-specific and area-specific networks, we investigated functional connectivity during resting-state EEG in 17 patients with Unresponsive Wakefulness Syndrome (UWS) and 15 with Minimally Conscious State (MCS). Multiplex and multilayer network metrics indicated the deterioration and heterogeneity of functional networks and, particularly, the frontal-parietal (FP), as the discriminant between patients with MCS and UWS. These data were not appreciable when considering each individual frequency-specific network. The distinctive properties of multiplex/multilayer network metrics and individual frequency-specific network metrics further suggest the value of integrating the networks as opposed to analyzing frequency-specific network metrics one at a time. The hub vulnerability of these regions was positively correlated with the behavioral responsiveness, thus strengthening the clinically-based differential diagnosis. Therefore, it may be beneficial to adopt both multiplex and multilayer network analyses when expanding the conventional GTA-based analyses in the differential diagnosis of patients with DoC. Multiplex analysis differentiated patients at a group level, whereas the multilayer analysis offered complementary information to differentiate patients with DoC individually. Although further studies are necessary to confirm our preliminary findings, these results contribute to the issue of DoC differential diagnosis and may help in guiding patient-tailored management.

Do you see me? The role of visual fixation in chronic disorders of consciousness differential diagnosis

2016 ◽  
Vol 1653 ◽  
pp. 59-66 ◽  
Author(s):  
Antonino Naro ◽  
Antonino Leo ◽  
Antonio Buda ◽  
Alfredo Manuli ◽  
Alessia Bramanti ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Visual Fixation ◽  
Disorders Of Consciousness ◽  
Chronic Disorders ◽  
Chronic Disorders Of Consciousness

Visual fixation in disorders of consciousness: Development of predictive models to support differential diagnosis

2021 ◽  
pp. 113310
Author(s):  
Davide Sattin ◽  
Davide Rossi Sebastiano ◽  
Dr. Francesca Giulia Magnani ◽  
Ludovico D'Incerti ◽  
Giorgio Marotta ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Predictive Models ◽  
Visual Fixation ◽  
Disorders Of Consciousness ◽  
Consciousness Development

Tumor Diagnosis

1982 ◽  
Vol 40 ◽  
pp. 262-265
Author(s):  
Bruce Mackay
Keyword(s):  
Electron Microscopy ◽  
Transmission Electron Microscopy ◽  
Differential Diagnosis ◽  
Light Microscopy ◽  
Clinical Examination ◽  
Ultrastructural Study ◽  
Diagnostic Procedures ◽  
Specific Diagnosis ◽  
Transmission Electron ◽  
Microscopic Diagnosis

The broadest application of transmission electron microscopy (EM) in diagnostic medicine is the identification of tumors that cannot be classified by routine light microscopy. EM is useful in the evaluation of approximately 10% of human neoplasms, but the extent of its contribution varies considerably. It may provide a specific diagnosis that can not be reached by other means, but in contrast, the information obtained from ultrastructural study of some 10% of tumors does not significantly add to that available from light microscopy. Most cases fall somewhere between these two extremes: EM may correct a light microscopic diagnosis, or serve to narrow a differential diagnosis by excluding some of the possibilities considered by light microscopy. It is particularly important to correlate the EM findings with data from light microscopy, clinical examination, and other diagnostic procedures.

The Preschool Stuttering Screen for Health Care Professionals

2011 ◽  
Vol 21 (2) ◽  
pp. 59-62
Author(s):  
Joseph Donaher ◽  
Christina Deery ◽  
Sarah Vogel
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Differential Diagnosis ◽  
Preschool Children ◽  
Health Care Professionals ◽  
Healthcare Professionals ◽  
Evidence Based ◽  
Developmental Profile

Healthcare professionals require a thorough understanding of stuttering since they frequently play an important role in the identification and differential diagnosis of stuttering for preschool children. This paper introduces The Preschool Stuttering Screen for Healthcare Professionals (PSSHP) which highlights risk factors identified in the literature as being associated with persistent stuttering. By integrating the results of the checklist with a child’s developmental profile, healthcare professionals can make better-informed, evidence-based decisions for their patients.

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