@phdthesis{Kopf2018,
  author    = {Kopf, Juliane},
  title     = {Emotion processing and working memory deficits in Bipolar Disorder: interactions and changes from acute to remitted state},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-97752},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2018},
  abstract  = {BD is a severe and highly prevalent psychiatric illness characterized by oscillating mood episodes, where patients express either depressed mood, anhedonia, decreased activation along with concentration difficulties and sleep disturbances, or elevated mood with hyperactivity and loss of inhibitions. Between mood episodes, patients return to a relatively normal state of functioning without mood symptoms. Previous research on underlying neuronal mechanisms has led to a model of neuronal dysfunction in BD which states that BD arises from disruption in early development within brain networks that modulate emotional behavior. These abnormalities in the structure and function of key emotional control networks then lead to decreased connectivity among ventral prefrontal networks and limbic brain regions. This in turn creates a loss of emotional homeostasis, putting bipolar patients at risk for developing extreme mood states and switching among mood states. Two core components for BD have been identified, a hyperactive emotion processing system and a hypoactive cognitive functions system. It is controversial whether these deficits are still detectable in euthymia, so it is unclear if hyper- and hypoactivations represent state or trait-like characteristics. The aim of this study was to research both core components of BD with a paradigm eliciting differential activations in both cognitive and emotion processing networks. For this, an emotional word working memory paradigm was constructed to test for differences between manic, depressive, and remitted patients as well as a healthy control group. Differences were assessed in behavior, brain activation (as a correlate for the hypoactive cognitive functions system), measured with near-infrared spectroscopy (fNIRS), and electrophysiological changes in the late positive potential (as a correlate for the hyperactive emotion processing system), an event-related potential (ERP) measured with electroencephalography. 47 patients in the acutely ill phase and 45 healthy controls were measured. Of the 47 patients, 18 returned to the clinic for a second testing while in remission for at least 3 months. Acutely ill patients were classified into 4 groups according to their disorder status: a mildly depressed group, a depressed group, a manic group, and a mixed group along DSM-IV criteria. Analyses were calculated for 3 load conditions (1-back, 2-back and 3-back) and 3 valence conditions (negative, neutral, positive) for behavioral measures reaction time and omission errors, for brain activation and event related potential changes. Results indicate that ill patients differed from controls in their behavioral performance, but the difference in performance was modulated by the mood state they were in. Depressed patients showed the most severe differences in all behavioral measures, while manic and mixed patients differed from controls only upon different valence conditions. Brain activation changes were most pronounced in mildly depressed and manic patients, depressed patients and mixed patients did not differ as much from controls. ERP changes showed a significant difference only between mixed patients and controls, where mixed patients had an overall much higher ERP amplitude. When remitted patients were compared to controls, no differences in behavior, brain activation or ERP amplitude could be found. However, the same was true for differences in patients between acutely ill and remitted state. When looking at the overall data, the following conclusion can be drawn: assuming that the brain activation seen in the prefrontal cortex is part of the dorsal cognitive system, then this is the predominantly disturbed system in depressed patients who show only small changes in the ERP. In contrast, the predominantly disturbed system in manic and mixed patients is the ventral emotion processing system, which can be seen in a hyper-activation of ERP related neural correlates in mixed and hypo-activated neural correlates of the LPP in manic patients. When patients are remitted, the cognitive system regains temporary stability, and can be compared to that of healthy controls, while the emotion processing system remains dysfunctional and underlies still detectable performance deficits.},
  subject      = {Manisch-depressive Krankheit},
  language  = {en}
}
@phdthesis{Geissler2013,
  author    = {Geissler, Julia Maria},
  title     = {Neuropsychological Endophenotypes of Attention-Deficit/Hyperactivity Disorder},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-79221},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2013},
  abstract  = {Attention-Deficit/Hyperactivity Disorder (ADHD) endophenotypes as a link between phenotype and genotype were the focus of the present work. Candidate endophenotypes were investigated via neuropsychological tasks during the simultaneous recording of a 21-channel electroencephalogram. Since endophenotypes are assumed to more closely reflect genetic variation, the influence of ADHD-associated genes Catechol-O-methyl transferase (COMT), the dopamine transporter (DAT, SLC6A3) and Latrophilin-3 (LPHN3) was analysed. Response inhibition was assessed with a cued Continuous Performance Test, for working memory we used an n-back task, sensory gating was measured via the paired clicks paradigm and response time variability (RTV) was quantified by the standard deviation of reaction times. The sample comprised medicated (N=36) and unmedicated (N=42) ADHD patients and matched control children and adolescents (N=41). The electrophysiological correlate of response inhibition was the centroid location during response execution and inhibition, and the degree of anteriorization (NGA). Sensory gating reflects the attenuation of the P50 response to the second of two auditory stimuli presented in short succession. Working memory was examined during target and non-target trials, reflecting specific information processing stages: early sensory processing (P100 and N100), selection of material (P150), memory retrieval (N300), event categorization (P300) and updating of working memory content (P450). Performance was quantified in terms of omission errors reflecting inattention and false alarms reflecting impulsivity, as well as speed and variability of reactions. Unmedicated ADHD patients had more omission errors and more variable reaction times, pointing to difficulties with attention and state regulation. NGA did not prove an optimal endophenotype candidate, since it was not yet developed in approximately half of the examined children and adolescents. It was independent of diagnosis; however ADHD risk alleles for DAT conferred lower NGA as well as more variable reaction times across groups. DAT genotype interacted with diagnosis on the level of centroid location, however, it did not manifest in performance deficits. In the case of sensory gating, homozygosity for the DAT allele associated with ADHD (10R) conferred impairment. ADHD was only relevant in participants without genetic risk, where patients without medication struggled most with suppression. In the working memory task, DAT modulated the timing of material selection in interaction with cognitive load and diagnosis: under high load unmedicated patients showed delayed responses, while under low load risk carriers on medication had faster responses than controls. Early processing and event-categorization were stronger in unmedicated ADHD with risk genotype, but dampened without risk. An interesting trend emerged for LPHN3, where carrying all risk variants was associated with higher NGA in ADHD patients irrespective of medication. This warrants further study, as the haplotype also exerts a positive influence on sensory gating specifically in patients. At the same time within the genetic risk group, unmedicated patients had the weakest NGA. However, the LPHN3 risk haplotype effected more posterior Go centroids, putatively facilitating response execution, which is supported by a higher number of false alarms. When inhibition was required, the risk variants led to more posterior centroids in unmedicated compared to medicated patients as well as controls, speaking to differences in inhibition-related brain activation. While as expected the risk haplotype led to compromised gating in unmedicated ADHD, this was reversed in healthy controls where the haplotype was acting in a protective manner with enhanced filtering. During working memory operations, the risk haplotype showed stronger N300 responses suggesting investment of more resources. While COMT did not exert an influence on NGA directly, carriers of the risk allele (met) had more posterior centroids both during response execution and inhibition, and displayed more variable responses in addition to being more prone to false alarms. Unmedicated patients produced smaller P300 during successful execution of responses than controls in absence of the risk allele, while with risk they had shorter latencies and presumably tend towards premature reactions. Additionally, it brought out impairments in sensory gating, thus making unmedicated patients less able to filter out irrelevant information, while they were able to compensate with the protective genotype. The influence of COMT on sensory gating seems to be specific for ADHD, as this gene was of no consequence in healthy controls. In the working memory task, met was beneficial for updating as reflected by P450 amplitude. In ADHD irrespective of medication COMT did not change P450 strength, but for controls this effect was observed.},
  subject      = {Aufmerksamkeits-Defizit-Syndrom},
  language  = {en}
}