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The studied case illustrates the importance of integrated diagnosis in neurology and dentistry to treat conditions like bruxism, which may have deep roots in central neurological dysfunctions. The presence of the pineal cavernoma, in particular, emphasizes the need to explore therapeutic approaches that consider the neural health of the patient as much as dental health. | The studied case illustrates the importance of integrated diagnosis in neurology and dentistry to treat conditions like bruxism, which may have deep roots in central neurological dysfunctions. The presence of the pineal cavernoma, in particular, emphasizes the need to explore therapeutic approaches that consider the neural health of the patient as much as dental health. | ||
This summary outlines the diagnostic pathway and clinical implications of the case, highlighting how the integration between medical specializations is crucial for managing disorders that present symptoms in areas as seemingly unrelated as bruxism and orofacial pain. | |||
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| autore = Gianni Frisardi | | autore = Gianni Frisardi | ||
| autore2 = Giorgio Cruccu | | autore2 = Giorgio Cruccu | ||
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==Introduction== | |||
We have therefore reached the section of the Cognitive Neural Network' abbreviated to 'RNC' presented for the diagnosis of the case of our 'Mary Poppins' in the chapter 'Encrypted code: Ephaptic transmission' and which we will propose again as a diagnostic model to accustom the reader to the procedure , simple, intuitive but essential in clinical cases of complex diagnosis such as our patient 'Bruxer'. Our starting point, therefore, is the point of arrival of the phase preceding the 'RNC', ie the discriminatory phase of the contexts ('''<math>\tau</math>''' Coherence Demarcator). The low diagnostic weight derived from the neurological assertions <math>\Im_n\cup0,33 | We have therefore reached the section of the Cognitive Neural Network' abbreviated to 'RNC' presented for the diagnosis of the case of our 'Mary Poppins' in the chapter 'Encrypted code: Ephaptic transmission' and which we will propose again as a diagnostic model to accustom the reader to the procedure , simple, intuitive but essential in clinical cases of complex diagnosis such as our patient 'Bruxer'. Our starting point, therefore, is the point of arrival of the phase preceding the 'RNC', ie the discriminatory phase of the contexts ('''<math>\tau</math>''' Coherence Demarcator). The low diagnostic weight derived from the neurological assertions <math>\Im_n\cup0,33 | ||
</math>, in fact, refers only to a modest difference in the amplitude of the jaw jerk. Also in this case the Cognitive Neural Network (CNN) can help us to focus the machine language code and decrypt it. We therefore follow the same procedure already described extensively in the chapter '[[Encrypted code: Ephaptic transmission - it|Encrypted code: Ephaptic transmission]]' and we will have the following result: | </math>, in fact, refers only to a modest difference in the amplitude of the jaw jerk. Also in this case the Cognitive Neural Network (CNN) can help us to focus the machine language code and decrypt it. We therefore follow the same procedure already described extensively in the chapter '[[Encrypted code: Ephaptic transmission - it|Encrypted code: Ephaptic transmission]]' and we will have the following result: |
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