Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Kristina Krause is active.

Publication


Featured researches published by Kristina Krause.


Archives of General Psychiatry | 2008

Systematic Analysis of Glutamatergic Neurotransmission Genes in Alcohol Dependence and Adolescent Risky Drinking Behavior

Gunter Schumann; Monika Johann; Josef Frank; Ulrich W. Preuss; Norbert Dahmen; Manfred Laucht; Marcella Rietschel; Dan Rujescu; Anbarasu Lourdusamy; Toni-Kim Clarke; Kristina Krause; Anne Dyer; Martin Depner; Stefan Wellek; Armin Szegedi; Ina Giegling; Sven Cichon; Dorothea Blomeyer; Andreas Heinz; Simon Heath; Mark Lathrop; Norbert Wodarz; Michael Soyka; Rainer Spanagel; Karl Mann

CONTEXT Glutamatergic neurotransmission is implicated in alcohol-drinking behavior in animal models. OBJECTIVE To investigate whether genetic variations in glutamatergic neurotransmission genes, which are known to alter alcohol effects in rodents, contribute to the genetic basis of alcoholism in humans. DESIGN Association analysis of alcohol dependence and haplotype-tagging single nucleotide polymorphisms (SNPs) covering 10 glutamatergic genes. Resequencing of functional domains of these genes identified 204 SNPs. Haplotypes with a frequency of 5% or greater could be discriminated by 21 haplotype-tagging SNPs analyzed for association in 2 independent samples of alcohol-dependent adult patients and controls as well as adolescent trios. SETTING Four university medical centers in the south of Germany. PARTICIPANTS One thousand three hundred thirty-seven patients and 1555 controls (study 1: 544 patients, 553 controls; study 2: 793 patients, 1002 controls). One hundred forty-four trios of 15-year-old adolescents assessed for risky drinking behavior. MAIN OUTCOME MEASURES Genotype profiles for GLAST; N-methyl-d-aspartate-receptor subunits NR1, NR2A, and NR2B; MGLUR5; NNOS; PRKG2; CAMK4; the regulatory subunit of PI3K; and CREB were analyzed for association with alcohol dependence using multivariate statistical analysis. Risky adolescent drinking was tested using the transmission disequilibrium test. RESULTS Analysis of study 1 revealed that NR2A and MGLUR5 have the greatest relevance for human alcohol dependence among the genes selected with odds ratios of 2.35 and 1.69, respectively. Replication analysis in study 2 confirmed an association of alcohol dependence with NR2A (odds ratio, 2.01) but showed no association with MGLUR5. Combined analysis of study 1 and study 2 exhibited a more significant association on the Cochran-Mantel-Haenszel test (P < .001) for NR2A; NR2A was associated with positive family history, early onset of alcoholism, and maximum number of drinks in adults as well as risky drinking patterns in adolescents. CONCLUSION Genetic variations in NR2A have the greatest relevance for human alcohol dependence among the glutamatergic genes selected for their known alteration of alcohol effects in animal models.


PLOS ONE | 2011

Beyond Patient Reported Pain: Perfusion Magnetic Resonance Imaging Demonstrates Reproducible Cerebral Representation of Ongoing Post-Surgical Pain

Matthew Howard; Kristina Krause; Nadine Khawaja; Nathalie J. Massat; Fernando Zelaya; Gunter Schumann; John P. Huggins; William Vennart; Steven Williams; Tara Renton

Development of treatments for acute and chronic pain conditions remains a challenge, with an unmet need for improved sensitivity and reproducibility in measuring pain in patients. Here we used pulsed-continuous arterial spin-labelling [pCASL], a relatively novel perfusion magnetic-resonance imaging technique, in conjunction with a commonly-used post-surgical model, to measure changes in regional cerebral blood flow [rCBF] associated with the experience of being in ongoing pain. We demonstrate repeatable, reproducible assessment of ongoing pain that is independent of patient self-report. In a cross-over trial design, 16 participants requiring bilateral removal of lower-jaw third molars underwent pain-free pre-surgical pCASL scans. Following extraction of either left or right tooth, repeat scans were acquired during post-operative ongoing pain. When pain-free following surgical recovery, the pre/post-surgical scanning procedure was repeated for the remaining tooth. Voxelwise statistical comparison of pre and post-surgical scans was performed to reveal rCBF changes representing ongoing pain. In addition, rCBF values in predefined pain and control brain regions were obtained. rCBF increases (5–10%) representing post-surgical ongoing pain were identified bilaterally in a network including primary and secondary somatosensory, insula and cingulate cortices, thalamus, amygdala, hippocampus, midbrain and brainstem (including trigeminal ganglion and principal-sensory nucleus), but not in a control region in visual cortex. rCBF changes were reproducible, with no rCBF differences identified across scans within-session or between post-surgical pain sessions. This is the first report of the cerebral representation of ongoing post-surgical pain without the need for exogenous tracers. Regions of rCBF increases are plausibly associated with pain and the technique is reproducible, providing an attractive proposition for testing interventions for on-going pain that do not rely solely on patient self-report. Our findings have the potential to improve our understanding of the cerebral representation of persistent painful conditions, leading to improved identification of specific patient sub-types and implementation of mechanism-based treatments.


Arthritis & Rheumatism | 2012

Alterations in Resting-State Regional Cerebral Blood Flow Demonstrate Ongoing Pain in Osteoarthritis An Arterial Spin-Labeled Magnetic Resonance Imaging Study

Matthew Howard; D. Sanders; Kristina Krause; Jonathan O'Muircheartaigh; Aikaterini Fotopoulou; Fernando Zelaya; Michael Thacker; Nathalie J. Massat; John P. Huggins; William Vennart; Ernest Choy; Maxine Daniels; Steven Williams

OBJECTIVE Increasing evidence suggests a central nervous system (CNS) component underpinning persistent pain disease states. This study was undertaken to determine regional cerebral blood flow (rCBF) changes representing ongoing pain experienced by patients with painful osteoarthritis (OA) of the carpometacarpal (CMC) joint and to examine rCBF variability across sessions. We used pulsed continuous arterial spin labeling (pCASL), a perfusion magnetic resonance imaging (MRI) technique. METHODS The study included 16 patients with CMC OA and 17 matched controls. Two pCASL scans and numerical rating scale (NRS) estimates of ongoing pain were acquired in each of two identical sessions. Voxelwise general linear model analyses were performed to determine rCBF differences between OA and control groups, rCBF differences between sessions within each group, and whether sessionwise rCBF differences were related to variability in perceived ongoing pain. RESULTS In the OA group, rCBF increases representing ongoing pain were identified in the primary and secondary somatosensory, insula, and cingulate cortices; thalamus; amygdala; hippocampus; and dorsal midbrain/pontine tegmentum, including the periaqueductal gray/nucleus cuneiformis. Sessionwise rCBF differences in the OA group in the postcentral, rostral/subgenual cingulate, mid/anterior insula, prefrontal, and premotor cortices were related to changes in perceived ongoing pain. No significant sessionwise rCBF differences were observed in controls. CONCLUSION This is the first quantitative endogenous perfusion MRI study of the cerebral representation of ongoing, persistent pain due to OA. Observed rCBF changes potentially indicate dysregulated CNS appraisal and modulation of pain, most likely the maladaptive neuroplastic sequelae of living with painful OA. Understanding the neural basis of ongoing pain is likely to be important in developing novel treatment strategies.


Addiction Biology | 2009

An association of prodynorphin polymorphisms and opioid dependence in females in a Chinese population.

Toni-Kim Clarke; Kristina Krause; Tao Li; Gunter Schumann

Prodynorphin (PDYN) binds to κ‐opioid receptors and is known to regulate dopaminergic tone, making this system important for the reinforcing and rewarding properties of drugs of abuse such as opioids. The binding of dynorphins to κ‐opioid receptors also produces aversive states that may affect the development of opioid dependence. Recent animal results have shown that PDYNknockout mice show decreased ethanol consumption; however, this finding was restricted to female mice. We were interested to analyse a possible gender specificity of dynorphin effects in humans and to this end three single‐nucleotide polymorphisms (SNPs) in PDYN were genotyped in a Chinese population of 484 opioid dependents and 374 controls. An interaction between sex and genotype was found in female opioid dependents. Chi‐squared tests for association revealed that the genotype distributions of SNPs rs1997794 (P = 0.019) and rs1022563 (P = 0.006) in the promoter and 3′ region of PDYN, respectively, were found to be associated with opioid dependence. Therefore, SNPs in PDYN are significantly associated with the risk of developing opioid dependence; however, this effect may only be seen in females. These data suggest that PDYN polymorphisms should be studied in additional female opioid‐dependent populations with an emphasis on the promoter and 3′ regions of the gene.


NeuroImage: Clinical | 2013

Quantifying the test–retest reliability of cerebral blood flow measurements in a clinical model of on-going post-surgical pain: A study using pseudo-continuous arterial spin labelling

Duncan J. Hodkinson; Kristina Krause; Nadine Khawaja; Tara Renton; John P. Huggins; William Vennart; Michael Thacker; Mitul A. Mehta; Fernando Zelaya; Steven Williams; Matthew Howard

Arterial spin labelling (ASL) is increasingly being applied to study the cerebral response to pain in both experimental human models and patients with persistent pain. Despite its advantages, scanning time and reliability remain important issues in the clinical applicability of ASL. Here we present the test–retest analysis of concurrent pseudo-continuous ASL (pCASL) and visual analogue scale (VAS), in a clinical model of on-going pain following third molar extraction (TME). Using ICC performance measures, we were able to quantify the reliability of the post-surgical pain state and ΔCBF (change in CBF), both at the group and individual case level. Within-subject, the inter- and intra-session reliability of the post-surgical pain state was ranked good-to-excellent (ICC > 0.6) across both pCASL and VAS modalities. The parameter ΔCBF (change in CBF between pre- and post-surgical states) performed reliably (ICC > 0.4), provided that a single baseline condition (or the mean of more than one baseline) was used for subtraction. Between-subjects, the pCASL measurements in the post-surgical pain state and ΔCBF were both characterised as reliable (ICC > 0.4). However, the subjective VAS pain ratings demonstrated a significant contribution of pain state variability, which suggests diminished utility for interindividual comparisons. These analyses indicate that the pCASL imaging technique has considerable potential for the comparison of within- and between-subjects differences associated with pain-induced state changes and baseline differences in regional CBF. They also suggest that differences in baseline perfusion and functional lateralisation characteristics may play an important role in the overall reliability of the estimated changes in CBF. Repeated measures designs have the important advantage that they provide good reliability for comparing condition effects because all sources of variability between subjects are excluded from the experimental error. The ability to elicit reliable neural correlates of on-going pain using quantitative perfusion imaging may help support the conclusions derived from subjective self-report.


PLOS ONE | 2008

Nucleotide Sequence Variation within the PI3K p85 Alpha Gene Associates with Alcohol Risk Drinking Behaviour in Adolescents

Sylvane Desrivières; Kristina Krause; Anne Dyer; Josef Frank; Dorothea Blomeyer; Mark Lathrop; Karl Mann; Tobias Banaschewski; Manfred Laucht; Gunter Schumann

Background While the phosphatidylinositol 3-kinase (PI3K)-dependent signaling pathway is typically known to regulate cell growth and survival, emerging evidence suggest a role for this pathway in regulating the behavioural responses to addictive drugs. Methodology/Principal Findings To investigate whether PI3K contributes to patterns of risky alcohol drinking in human, we investigated genetic variations in PIK3R1, encoding the 85 kD regulatory subunit of PIK, in 145 family trios consisting of 15–16 year old adolescents and their parents. Screening for mutations in exons, exon-intron boundaries and regulatory sequences, we identified 14 single nucleotide polymorphisms (SNPs) in the PIK3R1 gene region from exon 1 to the beginning of the 3′ untranslated region (UTR). These SNPs defined haplotypes for the respective PIK3R1 region. Four haplotype tagging (ht)SNPs (rs706713, rs2302975, rs171649 and rs1043526), discriminating all haplotypes with a frequency ≥4.5% were identified. These htSNPs were used to genotype adolescents from the “Mannheim Study of Risk Children” (MARC). Transmission disequilibrium tests in these adolescents and their parents demonstrated sex-specific association of two SNPs, rs2302975 and rs1043526, with patterns of risky alcohol consumption in male adolescents, including lifetime prevalence of drunkenness (p = 0.0019 and 0.0379, respectively) and elevated maximum amount of drinking (p = 0.0020 and 0.0494, respectively), as a measure for binge drinking pattern. Conclusions/Significance Our findings highlight a previously unknown relevance of PIK3R1 genotypes for alcohol use disorders and might help discriminate individuals at risk for alcoholism.


Arthritis & Rheumatism | 2015

Pharmacologic Modulation of Hand Pain in Osteoarthritis: A Double‐Blind Placebo‐Controlled Functional Magnetic Resonance Imaging Study Using Naproxen

D. Sanders; Kristina Krause; Jonathan O'Muircheartaigh; Michael Thacker; John P. Huggins; William Vennart; Nathalie J. Massat; Ernest Choy; Steven Williams; Matthew Howard

In an attempt to shed light on management of chronic pain conditions, there has long been a desire to complement behavioral measures of pain perception with measures of underlying brain mechanisms. Using functional magnetic resonance imaging (fMRI), we undertook this study to investigate changes in brain activity following the administration of naproxen or placebo in patients with pain related to osteoarthritis (OA) of the carpometacarpal (CMC) joint.


Arthritis & Rheumatism | 2015

Pharmacologic modulation of hand pain in osteoarthritis

D. Sanders; Kristina Krause; Jonathan O'Muircheartaigh; Michael Thacker; John P. Huggins; William Vennart; Nathalie J. Massat; Ernest Choy; Steven Williams; Matthew Howard

In an attempt to shed light on management of chronic pain conditions, there has long been a desire to complement behavioral measures of pain perception with measures of underlying brain mechanisms. Using functional magnetic resonance imaging (fMRI), we undertook this study to investigate changes in brain activity following the administration of naproxen or placebo in patients with pain related to osteoarthritis (OA) of the carpometacarpal (CMC) joint.


Human Brain Mapping | 2015

Multivariate decoding of cerebral blood flow measures in a clinical model of on-going postsurgical pain

Jonathan O'Muircheartaigh; Andre F. Marquand; Duncan J. Hodkinson; Kristina Krause; Nadine Khawaja; Tara Renton; John P. Huggins; William Vennart; Steven Williams; Matthew Howard

Recent reports of multivariate machine learning (ML) techniques have highlighted their potential use to detect prognostic and diagnostic markers of pain. However, applications to date have focussed on acute experimental nociceptive stimuli rather than clinically relevant pain states. These reports have coincided with others describing the application of arterial spin labeling (ASL) to detect changes in regional cerebral blood flow (rCBF) in patients with on‐going clinical pain. We combined these acquisition and analysis methodologies in a well‐characterized postsurgical pain model. The principal aims were (1) to assess the classification accuracy of rCBF indices acquired prior to and following surgical intervention and (2) to optimise the amount of data required to maintain accurate classification. Twenty male volunteers, requiring bilateral, lower jaw third molar extraction (TME), underwent ASL examination prior to and following individual left and right TME, representing presurgical and postsurgical states, respectively. Six ASL time points were acquired at each exam. Each ASL image was preceded by visual analogue scale assessments of alertness and subjective pain experiences. Using all data from all sessions, an independent Gaussian Process binary classifier successfully discriminated postsurgical from presurgical states with 94.73% accuracy; over 80% accuracy could be achieved using half of the data (equivalent to 15 min scan time). This work demonstrates the concept and feasibility of time‐efficient, probabilistic prediction of clinically relevant pain at the individual level. We discuss the potential of ML techniques to impact on the search for novel approaches to diagnosis, management, and treatment to complement conventional patient self‐reporting. Hum Brain Mapp 36:633–642, 2015.


European Journal of Pain | 2018

Delineation between different components of chronic pain using dimension reduction - an ASL fMRI study in hand osteoarthritis

D. Keszthelyi; Qasim Aziz; James K. Ruffle; Owen O'Daly; D. Sanders; Kristina Krause; Steven Williams; Matthew Howard

Traditional psychometric measures aimed at characterizing the pain experience often show considerable overlap, due to interlinked affective and modulatory processes under central nervous system control. Neuroimaging studies have been employed to investigate this complexity of pain processing, in an attempt to provide a quantifiable, adjunctive description of pain perception. In this exploratory study, we examine psychometric and neuroimaging data from 38 patients with painful osteoarthritis of the carpometacarpal joint. We had two aims: first, to utilize principal component analysis (PCA) as a dimension reduction strategy across multiple self‐reported endpoints of pain, cognitive and affective functioning; second, to investigate the relationship between identified dimensions and regional cerebral blood flow (rCBF) as an indirect measure of brain activity underpinning their ongoing pain experiences.

Collaboration


Dive into the Kristina Krause's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Nathalie J. Massat

Queen Mary University of London

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge