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Dive into the research topics where Christopher R. Nicholas is active.

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Featured researches published by Christopher R. Nicholas.


Neuroscience | 2009

Aggressive Encounters Alter the Activation of Serotonergic Neurons and the Expression of 5-HT1A mRNA in the Hamster Dorsal Raphe Nucleus

Matthew A. Cooper; Matthew S. Grober; Christopher R. Nicholas; Kim L. Huhman

Serotonergic (5-HT) neurons in the dorsal raphe nucleus (DRN) have been implicated in stress-induced changes in behavior. Previous research indicates that stressful stimuli activate 5-HT neurons in select subregions of the DRN. Uncontrollable stress is thought to sensitize 5-HT neurons in the DRN and allow for an exaggerated 5-HT response to future stimuli. In the current study, we tested the hypothesis that following aggressive encounters, losing male Syrian hamsters would exhibit increased c-Fos immunoreactivity in 5-HT DRN neurons compared to winners or controls. In addition, we tested the hypothesis that losers would have decreased 5-HT1A mRNA levels in the DRN compared to winners or controls. We found that a single 15-min aggressive encounter increased c-Fos expression in 5-HT and non-5-HT neurons in losers compared to winners and controls. The increased c-Fos expression in losers was restricted to ventral regions of the rostral DRN. We also found that four 5-min aggressive encounters reduced total 5-HT1A mRNA levels in the DRN in losers compared to winners and controls, and that differences in mRNA levels were not restricted to specific DRN subregions. These results suggest that social defeat activates neurons in select subregions of the DRN and reduces message for DRN 5-HT1A autoreceptors. Our results support the hypothesis that social stress can activate 5-HT neurons in the DRN, reduce 5-HT1A autoreceptor-mediated inhibition, and lead to hyperactivity of 5-HT neurons.


Journal of Alzheimer's Disease | 2010

The Computerized Self Test (CST): An Interactive, Internet Accessible Cognitive Screening Test For Dementia

John H. Dougherty; Rex L. Cannon; Christopher R. Nicholas; Lorin Hall; Felicia Hare; Erika R. Carr; Andrew Dougherty; Jennifer Janowitz; Justin Arunthamakun

The computer self test (CST) is an interactive, internet-based instrument designed to assess functional cognitive domains impaired by Alzheimers disease (AD) and mild cognitive impairment (MCI). This study consisted of 215 total subjects with a mean age of 75.24. The 84 cognitively impaired patients (excluding patients diagnosed as MCI) met all criteria set forth by NINCDS/ADRDA for the diagnosis of AD. Control participants consisted of 104 age-matched individuals who were cognitively unimpaired. All patients completed the CST prior to other routine neurocognitive procedures. The CST accurately classified 96% of the cognitively impaired individuals as compared to controls, while the Mini-Mental Status Examination (MMSE) accurately classified 71% and the Mini-Cog 69% in the same respect. In addition, the CST accurately classified 91% of the six experimental groups (control, MCI, early AD, mild to moderate, moderate to severe, and severe) as compared to 54% for the MMSE and 48% for the Mini-Cog. In conclusions, the CST demonstrates a high degree of sensitivity and specificity and is capable of accurately identifying cognitive impairment in patients with variable degrees of cognitive abnormality. This interactive internet-based cognitive screening tool may aid in early detection of cognitive impairment in the primary care setting. The ease of use and interpretation may also provide the means to obtain an accurate baseline from which to monitor cognitive changes over time.


Alzheimers & Dementia | 2016

Beta-amyloid and cognitive decline in late middle age: Findings from the Wisconsin Registry for Alzheimer's Prevention study

Lindsay R. Clark; Annie M. Racine; Rebecca L. Koscik; Ozioma C. Okonkwo; Corinne D. Engelman; Cynthia M. Carlsson; Sanjay Asthana; Barbara B. Bendlin; Rick Chappell; Christopher R. Nicholas; Howard A. Rowley; Jennifer M. Oh; Bruce P. Hermann; Mark A. Sager; Bradley T. Christian; Sterling C. Johnson

The present study investigated the relationship between beta‐amyloid (Aβ) and cognition in a late middle‐aged cohort at risk for Alzheimers disease (AD).


Journal of Personality Assessment | 2011

Examining the Potential Impact of a Family Session in Therapeutic Assessment: A Single-Case Experiment

Justin D. Smith; Christopher R. Nicholas; Leonard Handler; Michael R. Nash

Most clinicians concede the benefits of conceptualizing children in systemic terms. Yet, many child assessments involve parents only on a limited basis. The Therapeutic Assessment model for children and families (TA–C) emphasizes parental involvement and family-driven collaboration throughout the intervention. Child TA has shown promise as an effective brief intervention (e.g., Smith, Handler, & Nash, 2010; Tharinger et al., 2009). Family intervention sessions (Finn, 2007; Tharinger, Finn, Austin, et al., 2008) are an integral component of the child TA model in facilitating familial changes. However, TA–C research has yet to empirically examine the potential impact of a family session on treatment trajectory. This case study includes an extended presentation of the development and execution of a family session. The authors use a daily measures time-series experiment to empirically examine the clinical effectiveness of the TA–C and the hypothesis that the family session was a tipping point in the trajectory of improvement.


Brain | 2016

Biomarker clusters are differentially associated with longitudinal cognitive decline in late midlife.

Annie M. Racine; Rebecca L. Koscik; Sara Elizabeth Berman; Christopher R. Nicholas; Lindsay R. Clark; Ozioma C. Okonkwo; Howard A. Rowley; Sanjay Asthana; Barbara B. Bendlin; Kaj Blennow; Henrik Zetterberg; Carey E. Gleason; Cynthia M. Carlsson; Sterling C. Johnson

The ability to detect preclinical Alzheimers disease is of great importance, as this stage of the Alzheimers continuum is believed to provide a key window for intervention and prevention. As Alzheimers disease is characterized by multiple pathological changes, a biomarker panel reflecting co-occurring pathology will likely be most useful for early detection. Towards this end, 175 late middle-aged participants (mean age 55.9 ± 5.7 years at first cognitive assessment, 70% female) were recruited from two longitudinally followed cohorts to undergo magnetic resonance imaging and lumbar puncture. Cluster analysis was used to group individuals based on biomarkers of amyloid pathology (cerebrospinal fluid amyloid-β42/amyloid-β40 assay levels), magnetic resonance imaging-derived measures of neurodegeneration/atrophy (cerebrospinal fluid-to-brain volume ratio, and hippocampal volume), neurofibrillary tangles (cerebrospinal fluid phosphorylated tau181 assay levels), and a brain-based marker of vascular risk (total white matter hyperintensity lesion volume). Four biomarker clusters emerged consistent with preclinical features of (i) Alzheimers disease; (ii) mixed Alzheimers disease and vascular aetiology; (iii) suspected non-Alzheimers disease aetiology; and (iv) healthy ageing. Cognitive decline was then analysed between clusters using longitudinal assessments of episodic memory, semantic memory, executive function, and global cognitive function with linear mixed effects modelling. Cluster 1 exhibited a higher intercept and greater rates of decline on tests of episodic memory. Cluster 2 had a lower intercept on a test of semantic memory and both Cluster 2 and Cluster 3 had steeper rates of decline on a test of global cognition. Additional analyses on Cluster 3, which had the smallest hippocampal volume, suggest that its biomarker profile is more likely due to hippocampal vulnerability and not to detectable specific volume loss exceeding the rate of normal ageing. Our results demonstrate that pathology, as indicated by biomarkers, in a preclinical timeframe is related to patterns of longitudinal cognitive decline. Such biomarker patterns may be useful for identifying at-risk populations to recruit for clinical trials.


Case reports in psychiatry | 2012

Neural Changes following Behavioral Activation for a Depressed Breast Cancer Patient: A Functional MRI Case Study

Michael J. Gawrysiak; John P. Carvalho; Baxter P. Rogers; Christopher R. Nicholas; John H. Dougherty; Derek R. Hopko

Functional neuroimaging is an innovative but at this stage underutilized method to assess the efficacy of psychotherapy for depression. Functional magnetic resonance imaging (fMRI) was used in this case study to examine changes in brain activity in a depressed breast cancer patient receiving an 8-session Behavioral Activation Treatment for Depression (BATD), based on the work of Hopko and Lejuez (2007). A music listening paradigm was used during fMRI brain scans to assess reward responsiveness at pre- and posttreatment. Following treatment, the patient exhibited attenuated depression and changes in blood oxygenation level dependence (BOLD) response in regions of the prefrontal cortex and the subgenual cingulate cortex. These preliminary findings outline a novel means to assess psychotherapy efficacy and suggest that BATD elicits functional brain changes in areas implicated in the pathophysiology of depression. Further research is necessary to explore neurobiological mechanisms of change in BATD, particularly the potential mediating effects of reward responsiveness and associated brain functioning.


Brain Imaging and Behavior | 2017

Association of longitudinal white matter degeneration and cerebrospinal fluid biomarkers of neurodegeneration, inflammation and Alzheimer’s disease in late-middle-aged adults

Annie M. Racine; Andrew P. Merluzzi; Nagesh Adluru; Derek L. Norton; Rebecca L. Koscik; Lindsay R. Clark; Sara Elizabeth Berman; Christopher R. Nicholas; Sanjay Asthana; Andrew L. Alexander; Kaj Blennow; Henrik Zetterberg; Won Hwa Kim; Vikas Singh; Cynthia M. Carlsson; Barbara B. Bendlin; Sterling C. Johnson

Alzheimer’s disease (AD) is characterized by substantial neurodegeneration, including both cortical atrophy and loss of underlying white matter fiber tracts. Understanding longitudinal alterations to white matter may provide new insights into trajectories of brain change in both healthy aging and AD, and fluid biomarkers may be particularly useful in this effort. To examine this, 151 late-middle-aged participants enriched with risk for AD with at least one lumbar puncture and two diffusion tensor imaging (DTI) scans were selected for analysis from two large observational and longitudinally followed cohorts. Cerebrospinal fluid (CSF) was assayed for biomarkers of AD-specific pathology (phosphorylated-tau/Aβ42 ratio), axonal degeneration (neurofilament light chain protein, NFL), dendritic degeneration (neurogranin), and inflammation (chitinase-3-like protein 1, YKL-40). Linear mixed effects models were performed to test the hypothesis that biomarkers for AD, neurodegeneration, and inflammation, or two-year change in those biomarkers, would be associated with worse white matter health overall and/or progressively worsening white matter health over time. At baseline in the cingulum, phosphorylated-tau/Aβ42 was associated with higher mean diffusivity (MD) overall (intercept) and YKL-40 was associated with increases in MD over time. Two-year change in neurogranin was associated with higher mean diffusivity and lower fractional anisotropy overall (intercepts) across white matter in the entire brain and in the cingulum. These findings suggest that biomarkers for AD, neurodegeneration, and inflammation are potentially important indicators of declining white matter health in a cognitively healthy, late-middle-aged cohort.


Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | 2016

Cerebrospinal fluid ratios with Aβ42 predict preclinical brain β-amyloid accumulation

Annie M. Racine; Rebecca L. Koscik; Christopher R. Nicholas; Lindsay R. Clark; Ozioma C. Okonkwo; Jennifer M. Oh; Ansel T. Hillmer; Dhanabalan Murali; Todd E. Barnhart; Tobey J. Betthauser; Catherine L. Gallagher; Howard A. Rowley; N. Maritza Dowling; Sanjay Asthana; Barbara B. Bendlin; Kaj Blennow; Henrik Zetterberg; Cynthia M. Carlsson; Bradley T. Christian; Sterling C. Johnson

Biomarkers are urgently needed for the critical yet understudied preclinical stage of Alzheimers disease (AD).


Journal of Alzheimer's Disease | 2016

Associations between Performance on an Abbreviated CogState Battery, Other Measures of Cognitive Function, and Biomarkers in People at Risk for Alzheimer’s Disease

Annie M. Racine; Lindsay R. Clark; Sara C. Berman; Rebecca L. Koscik; Kimberly D. Mueller; Derek L. Norton; Christopher R. Nicholas; Kaj Blennow; Henrik Zetterberg; Bruno Jedynak; Murat Bilgel; Cynthia M. Carlsson; Bradley T. Christian; Sanjay Asthana; Sterling C. Johnson

It is not known whether computerized cognitive assessments, like the CogState battery, are sensitive to preclinical cognitive changes or pathology in people at risk for Alzheimers disease(AD). In 469 late middle-aged participants from the Wisconsin Registry for Alzheimers Prevention(mean age 63.8±7 years at testing; 67% female; 39% APOE4+), we examined relationships between a CogState abbreviated battery(CAB) of seven tests and demographic characteristics, traditional paper-based neuropsychological tests as well as a composite cognitive impairment index, cognitive impairment status(determined by consensus review), and biomarkers for amyloid and tau(CSF phosphorylated-tau/Aβ42 and global PET-PiB burden) and neural injury(CSF neurofilament light protein). CSF and PET-PiB were collected in n = 71 and n = 91 participants, respectively, approximately four years prior to CAB testing. For comparison, we examined three traditional tests of delayed memory in parallel. Similar to studies in older samples, the CAB was less influenced by demographic factors than traditional tests. CAB tests were generally correlated with most paper-based cognitive tests examined and mapped onto the same cognitive domains. Greater composite cognitive impairment index was associated with worse performance on all CAB tests. Cognitively impaired participants performed significantly worse compared to normal controls on all but one CAB test. Poorer One Card Learning test performance was associated with higher levels of CSF phosphorylated-tau/Aβ42. These results support the use of the CogState battery as measures of early cognitive impairment in studies of people at risk for AD.


Brain Injury | 2014

Functional neuroimaging of personally-relevant stimuli in a paediatric case of impaired awareness

Christopher R. Nicholas; Donald G. McLaren; Michael J. Gawrysiak; Baxter P. Rogers; John H. Dougherty; Michael R. Nash

Abstract Background: Functional neuroimaging studies have observed preserved neural activation to personally relevant stimuli in patients within the disorders of consciousness (DOC) spectrum. As the majority of studies have focused on adult DOC patients, little is known about preserved activation in the developing brain of children with impaired consciousness. Case study: The aim of this study is to use fMRI to measure preserved neural activation to personally relevant stimuli (subject’s own name and familiar voice) in a paediatric patient who sustained a traumatic brain injury and anoxic-ischaemia following a motor vehicle accident at 18 months of age rendering her probable for minimally conscious state. Contrasts revealed activation in the right middle frontal gyrus when hearing the subject’s own name and the anterior supramarginal gyrus when hearing a familiar voice. Conclusion: This study provides preliminary support for fMRI as a method to measure preserved cognitive functioning in paediatric DOC patients.

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Sterling C. Johnson

University of Wisconsin-Madison

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Sanjay Asthana

University of Wisconsin-Madison

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Lindsay R. Clark

University of Wisconsin-Madison

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Annie M. Racine

University of Wisconsin-Madison

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Rebecca L. Koscik

University of Wisconsin-Madison

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Cynthia M. Carlsson

University of Wisconsin-Madison

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Barbara B. Bendlin

University of Wisconsin-Madison

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Ozioma C. Okonkwo

University of Wisconsin-Madison

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Howard A. Rowley

University of Wisconsin-Madison

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