@article{BremGruenblattDrechsleretal.2014,
  author    = {Brem, Silvia and Gr{\"u}nblatt, Edna and Drechsler, Renate and Riederer, Peter and Walitza, Susanne},
  title     = {The neurobiological link between OCD and ADHD},
  series = {Attention Deficit and Hyperactivity Disorders},
  volume    = {6},
  journal   = {Attention Deficit and Hyperactivity Disorders},
  number    = {3},
  doi       = {10.1007/s12402-014-0146-x},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-121312},
  pages     = {175-202},
  year      = {2014},
  abstract  = {Obsessive compulsive disorder (OCD) and attention deficit hyperactivity disorder (ADHD) are two of the most common neuropsychiatric diseases in paediatric populations. The high comorbidity of ADHD and OCD with each other, especially of ADHD in paediatric OCD, is well described. OCD and ADHD often follow a chronic course with persistent rates of at least 40-50 \%. Family studies showed high heritability in ADHD and OCD, and some genetic findings showed similar variants for both disorders of the same pathogenetic mechanisms, whereas other genetic findings may differentiate between ADHD and OCD. Neuropsychological and neuroimaging studies suggest that partly similar executive functions are affected in both disorders. The deficits in the corresponding brain networks may be responsible for the perseverative, compulsive symptoms in OCD but also for the disinhibited and impulsive symptoms characterizing ADHD. This article reviews the current literature of neuroimaging, neurochemical circuitry, neuropsychological and genetic findings considering similarities as well as differences between OCD and ADHD.},
  language  = {en}
}
@article{MartensBenschHalderetal.2014,
  author    = {Martens, Suzanne and Bensch, Michael and Halder, Sebastian and Hill, Jeremy and Nijboer, Femke and Ramos-Murguialday, Ander and Schoelkopf, Bernhard and Birbaumer, Niels and Gharabaghi, Alireza},
  title     = {Epidural electrocorticography for monitoring of arousal in locked-in state},
  series = {Frontiers in Human Neuroscience},
  volume    = {8},
  journal   = {Frontiers in Human Neuroscience},
  doi       = {10.3389/fnhum.2014.00861},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-114863},
  pages     = {861},
  year      = {2014},
  abstract  = {Electroencephalography (EEG) often fails to assess both the level (i.e., arousal) and the content (i.e., awareness) of pathologically altered consciousness in patients without motor responsiveness. This might be related to a decline of awareness, to episodes of low arousal and disturbed sleep patterns, and/or to distorting and attenuating effects of the skull and intermediate tissue on the recorded brain signals. Novel approaches are required to overcome these limitations. We introduced epidural electrocorticography (ECoG) for monitoring of cortical physiology in a late-stage amytrophic lateral sclerosis patient in completely locked-in state (CLIS) Despite long-term application for a period of six months, no implant related complications occurred. Recordings from the left frontal cortex were sufficient to identify three arousal states. Spectral analysis of the intrinsic oscillatory activity enabled us to extract state-dependent dominant frequencies at <4, similar to 7 and similar to 20 Hz, representing sleep-like periods, and phases of low and elevated arousal, respectively. In the absence of other biomarkers, ECoG proved to be a reliable tool for monitoring circadian rhythmicity, i.e., avoiding interference with the patient when he was sleeping and exploiting time windows of responsiveness. Moreover, the effects of interventions addressing the patient's arousal, e.g., amantadine medication, could be evaluated objectively on the basis of physiological markers, even in the absence of behavioral parameters. Epidural ECoG constitutes a feasible trade-off between surgical risk and quality of recorded brain signals to gain information on the patient's present level of arousal. This approach enables us to optimize the timing of interactions and medical interventions, all of which should take place when the patient is in a phase of high arousal. Furthermore, avoiding low responsiveness periods will facilitate measures to implement alternative communication pathways involving brain-computer interfaces (BCI).},
  language  = {en}
}
@article{RealKotchoubeyKuebler2014,
  author    = {Real, Ruben G. L. and Kotchoubey, Boris and K{\"u}bler, Andrea},
  title     = {Studentized continuous wavelet transform (t-CWT) in the analysis of individual ERPs: real and simulated EEG data},
  doi       = {10.3389/fnins.2014.00279},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-113581},
  year      = {2014},
  abstract  = {This study aimed at evaluating the performance of the Studentized Continuous Wavelet Transform (t-CWT) as a method for the extraction and assessment of event-related brain potentials (ERP) in data from a single subject. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of the t-CWT were assessed and compared to a variety of competing procedures using simulated EEG data at six low signal-to-noise ratios. Results show that the t-CWT combines high sensitivity and specificity with favorable PPV and NPV. Applying the t-CWT to authentic EEG data obtained from 14 healthy participants confirmed its high sensitivity. The t-CWT may thus be well suited for the assessment of weak ERPs in single-subject settings.},
  language  = {en}
}