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Brain Networks and Dynamics in Narcolepsy [Elektronisk resurs] / Natasha Morales Drissi.

Drissi, Natasha Morales, 1980- (författare)
Engström, Maria, 1958- (preses)
Cedersund, Gunnar, 1978- (preses)
Elinder, Fredrik, 1966- (preses)
Kornum, Birgitte (opponent)
Linköpings universitet. Institutionen för medicin och hälsa (utgivare)
Linköpings universitet Medicinska fakulteten (utgivare)
Linköpings universitet Centrum för medicinsk bildvetenskap och visualisering, CMIV (utgivare)
Publicerad: Linköping : Linköping University, Department of Medical and Health Sciences, 2018
Engelska 1 onlineresurs (54 sidor)
Serie: Linköping University Medical Dissertations, 0345-0082 ; 1651
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  • E-bokAvhandling(Diss. (sammanfattning) Linköping : Linköpings universitet, 2018)
Sammanfattning Ämnesord
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  • Narcolepsy is a chronic sleep disorder, characterised by excessive daytime sleepiness with frequent uncontrollable sleep attacks. In addition to sleeprelated problems, changes in cognition have also been observed in patients with narcolepsy and has been linked to the loss of Orexin-A in a number of studies. Results from previous functional and structural neuroimaging studies would suggest that the loss of Orexin-A has numerous downstream effects in terms of both resting state glucose metabolism and perfusion and reduction in cortical grey matter. Specifically, studies investigating narcolepsy with positron emission tomography (PET) and single photon emission computed tomography (SPECT) have observed aberrant perfusion and glucose metabolism in the hypothalamus and thalamus, as well as in prefrontal cortex. A very recent PET study in a large cohort of adolescents with type 1 narcolepsy further observed that the hypoand hypermetabolism in many of these cortico-frontal and subcortical brain regions also exhibited significant correlations with performance on a number of neurocognitive tests. These findings parallel those found in structural neuroimaging studies, where a reduction of cortical grey matter in frontotemporal areas has been observed. The Aim of this thesis was to investigate mechanisms and aetiology behind the symptoms in narcolepsy through the application of different neuroimaging techniques. I present in this thesis evidence supporting that the complaints about subjective memory deficits in narcolepsy are related to a misallocation of resources. I further describe how this has its seat in defective default mode network activation, possibly involving alterations to GABA and Glutamate signaling. In addition to this, I present our findings of a structural deviation in an area of the brainstem previously not described in the aetiology of narcolepsy. This finding may have implications for further understanding the aetiology of the disease and the specific neuronal populations involved. In addition to this, I show evidence from adipose tissue measurements in specific compartments, confirming that weight gain in narcolepsy is characterized by centrally located weight gain and may be specifically related to OX changes, but maybe not brown adipose tissue volume. The findings presented in this thesis provides new insights to the pathophysiology of narcolepsy beyond the well-known depletion of OX producing neurons in the hypothalamus. 

Ämnesord

Magnetic Resonance Imaging  (MeSH)
Narcolepsy 1  (MeSH)
Medical and Health Sciences  (hsv)
Basic Medicine  (hsv)
Neurosciences  (hsv)
Medicin och hälsovetenskap  (hsv)
Medicinska och farmaceutiska grundvetenskaper  (hsv)
Neurovetenskaper  (hsv)
Medical and Health Sciences  (hsv)
Clinical Medicine  (hsv)
Radiology, Nuclear Medicine and Medical Imaging  (hsv)
Medicin och hälsovetenskap  (hsv)
Klinisk medicin  (hsv)
Radiologi och bildbehandling  (hsv)
Medical and Health Sciences  (hsv)
Clinical Medicine  (hsv)
Neurology  (hsv)
Medicin och hälsovetenskap  (hsv)
Klinisk medicin  (hsv)
Neurologi  (hsv)
Medical and Health Sciences  (hsv)
Basic Medicine  (hsv)
Physiology  (hsv)
Medicin och hälsovetenskap  (hsv)
Medicinska och farmaceutiska grundvetenskaper  (hsv)
Fysiologi  (hsv)

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Klassifikation

616.8498 (DDC)
Vefe (kssb/8 (machine generated))
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