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Dive into the research topics where Laurena Holleran is active.

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Featured researches published by Laurena Holleran.


Neuropsychopharmacology | 2014

Altered Interhemispheric and Temporal Lobe White Matter Microstructural Organization in Severe Chronic Schizophrenia

Laurena Holleran; Mohamed Ahmed; Heike Anderson-Schmidt; John McFarland; Louise Emsell; Alexander Leemans; Cathy Scanlon; Peter Dockery; Peter McCarthy; Gareth J. Barker; Colm McDonald; Dara M. Cannon

Diffusion MRI investigations in schizophrenia provide evidence of abnormal white matter (WM) microstructural organization as indicated by reduced fractional anisotropy (FA) primarily in interhemispheric, left frontal and temporal WM. Using tract-based spatial statistics (TBSS), we examined diffusion parameters in a sample of patients with severe chronic schizophrenia. Diffusion MRI data were acquired on 19 patients with chronic severe schizophrenia and 19 age- and gender-matched healthy controls using a 64 gradient direction sequence, (b=1300 s/mm2) collected on a Siemens 1.5T MRI scanner. Diagnosis of schizophrenia was determined by Diagnostic and Statistical Manual for Mental Disorders 4th Edition (DSM-IV) Structured Clinical Interview for DSM disorder (SCID). Patients were treatment resistance, having failed to respond to at least two antipsychotic medications, and had prolonged periods of moderate to severe positive or negative symptoms. Analysis of diffusion parameters was carried out using TBSS. Individuals with chronic severe schizophrenia had significantly reduced FA with corresponding increased radial diffusivity in the genu, body, and splenium of the corpus callosum, the right posterior limb of the internal capsule, right external capsule, and the right temporal inferior longitudinal fasciculus. There were no voxels of significantly increased FA in patients compared with controls. A decrease in splenium FA was shown to be related to a longer illness duration. We detected widespread abnormal diffusivity properties in the callosal and temporal lobe WM regions in individuals with severe chronic schizophrenia who have not previously been exposed to clozapine. These deficits can be driven by a number of factors that are indistinguishable using in vivo diffusion-weighted imaging, but may be related to reduced axonal number or packing density, abnormal glial cell arrangement or function, and reduced myelin.


Neuropsychopharmacology | 2015

Progressive Brain Atrophy and Cortical Thinning in Schizophrenia after Commencing Clozapine Treatment

Mohamed Ahmed; Dara M. Cannon; Cathy Scanlon; Laurena Holleran; Heike Schmidt; John McFarland; Camilla Langan; Peter McCarthy; Gareth J. Barker; Brian Hallahan; Colm McDonald

Despite evidence that clozapine may be neuroprotective, there are few longitudinal magnetic resonance imaging (MRI) studies that have specifically explored an association between commencement of clozapine treatment for schizophrenia and changes in regional brain volume or cortical thickness. A total of 33 patients with treatment-resistant schizophrenia and 31 healthy controls matched for age and gender underwent structural MRI brain scans at baseline and 6–9 months after commencing clozapine. MRI images were analyzed using SIENA (Structural Image Evaluation, using Normalization, of Atrophy) and FreeSurfer to investigate changes over time in brain volume and cortical thickness respectively. Significantly greater reductions in volume were detected in the right and left medial prefrontal cortex and in the periventricular area in the patient group regardless of treatment response. Widespread further cortical thinning was observed in patients compared with healthy controls. The majority of patients improved symptomatically and functionally over the study period, and patients who improved were more likely to have less cortical thinning of the left medial frontal cortex and the right middle temporal cortex. These findings demonstrate on-going reductions in brain volume and progressive cortical thinning in patients with schizophrenia who are switched to clozapine treatment. It is possible that this gray matter loss reflects a progressive disease process irrespective of medication use or that it is contributed to by switching to clozapine treatment. The clinical improvement of most patients indicates that antipsychotic-related gray matter volume loss may not necessarily be harmful or reflect neurotoxicity.


Journal of Affective Disorders | 2017

Anatomical dysconnectivity in bipolar disorder compared with schizophrenia: A selective review of structural network analyses using diffusion MRI

Stefani O’Donoghue; Laurena Holleran; Dara M. Cannon; Colm McDonald

BACKGROUND The dysconnectivity hypothesis suggests that psychotic illnesses arise not from regionally specific focal pathophysiology, but rather from impaired neuroanatomical integration across networks of brain regions. Decreased white matter organization has been hypothesized to be a feature of psychotic illnesses in general, which is supported by meta-analyses of DTI studies in bipolar disorder and schizophrenia. Although many diffusion MRI studies investigate bipolar disorder and schizophrenia alone, relatively few studies directly compare structural features in these psychotic illnesses. Recently, the application of graph theory analyses to DTI data has supported the dysconnectivity hypothesis in bipolar disorder and schizophrenia, employing topological properties to assess neuroanatomical dysconnectivity. METHODS This selective review evaluates white matter alterations using Diffusion Tensor Imaging (DTI) in bipolar disorder and schizophrenia, with a focus upon direct comparison DTI studies in both psychotic illnesses. We then expand in more detail on the development of network analyses and the application of these techniques in bipolar disorder and schizophrenia. RESULTS Converging evidence indicates that frontal connectivity alterations are common to both disorders, with prominent fronto-temporal deficits identified in schizophrenia and inter-hemispheric and limbic alterations reported in bipolar disorder. LIMITATIONS In bipolar disorder, most connectome reports use cortical maps alone, which given the importance of the limbic system in emotional regulation may limit the scope of network approaches in mood disorders. CONCLUSIONS Further direct connectivity comparisons between these psychotic illnesses may assist in unravelling the neuroanatomical deviations underpinning the overlapping features of psychosis and cognitive impairment, and the more diagnostically distinctive features of affective disturbance in bipolar disorder and deficit syndrome in schizophrenia.


American Journal of Medical Genetics | 2018

Effects of MiR-137 genetic risk score on brain volume and cortical measures in patients with schizophrenia and controls

Donna Cosgrove; David Mothersill; Laura Whitton; Denise Harold; Sinead Kelly; Laurena Holleran; Jessica Holland; Richard Anney; Alexander Richards; Kiran Kumar Mantripragada; Michael John Owen; Michael Conlon O'Donovan; Michael Gill; Aiden Corvin; Derek W. Morris; Gary Donohoe

Multiple genome‐wide association studies of schizophrenia have implicated genetic variants within the gene encoding microRNA‐137. As risk variants within or regulated by MIR137 have been implicated in memory performance, we investigated the additive effects of schizophrenia‐associated risk variants in genes empirically regulated by MIR137 on brain regions associated with memory function. A polygenic risk score (PRS) was calculated (at a p = 0.05 threshold), using this empirically regulated MIR137 gene set, to investigate associations between this PRS and structural brain measures. These measures included total brain volume, cortical thickness, cortical surface area, and hippocampal volume, in a sample of 216 individuals consisting of healthy participants (n = 171) and patients with psychosis (n = 45). We did not observe a significant association between MIR137 PRS and these cortical thickness, surface area or hippocampal volume measures linked to memory function; a significant association between increasing PRS and decreasing total brain volume, independent of diagnosis status (R2 = 0.008, Beta = −0.09, p = 0.029), was observed. This did not survive correction for multiple testing. In conclusion, our study yielded only suggestive evidence that risk variants interacting with MIR137 impacts on cortical structure.


NeuroImage | 2014

Structural neuroimaging correlates of allelic variation of the BDNF val66met polymorphism.

Natalie J Forde; Lisa Ronan; John Suckling; Cathy Scanlon; Simon Neary; Laurena Holleran; Alexander Leemans; Roger Tait; Catarina Rua; P. C. Fletcher; Ben Jeurissen; Chris M. Dodds; Sam Miller; Edward T. Bullmore; Colm McDonald; Pradeep J. Nathan; Dara M. Cannon


Schizophrenia Research | 2012

Poster #42 IMPACT OF CLOZAPINE TREATMENT ON REGIONAL BRAIN VOLUME: A LONGITUDINAL STUDY OF TREATMENT RESISTANT SCHIZOPHRENIA

Mohamed Ahmed; Dara M. Cannon; Laurena Holleran; Heike Schmidt; John McFarland; Camilla Langan; Louise Emsell; Gary McDonald; Cathy Scanlon; Peter McCarthy; Gareth J. Barker; Colm McDonald


Archive | 2017

Free water elimination and mapping from diffusion tensor imaging (DTI) in chronic schizophrenia

Niall Colgan; Dara M. Cannon; Mohamed Ahmed; David O'Reilly; Colm McDonald; Laurena Holleran


Archive | 2011

Widespread Microstructural White Matter Alterations in Treatment Resistance Schizophrenia: A DTI Study

Laurena Holleran; Mohammed As Ahmed; Heike Schmidt; John McFarland; Alexander Leemans; Peter McCarthy; Louise Emsell; Gareth J. Barker; Colm McDonald; Dara M. Cannon


Irish Journal of Medical Science | 2011

AUTOMATED VERSUS MANUAL SEGMENTATION OF THE HUMAN CAUDATE AND HIPPOCAMPUS

Migle Makelyte; Sarah Hehir; Helen Casey; Liam Kilmartin; Noirin Duggan; Camilla Langan; John McFarland; Ahmed Mohammed; Louise Emsell; Heike Schmidt; Laurena Holleran; Peter McCarthy; Gareth J. Barker; Colm McDonald; Dara M. Cannon


Irish Journal of Medical Science | 2010

WHITE MATTER TRACTS IN EUTHYMIC BIPOLAR 1 DISORDER: A DTI STUDY OF THE CINGULUM BUNDLE AND UNCINATE FASCICULUS

Louise Emsell; Laurena Holleran; Alexander Leemans; Camilla Langan; Gareth J. Barker; W. van der Putten; Peter McCarthy; Rachel Skinner; Colm McDonald; Dara M. Cannon

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Colm McDonald

National University of Ireland

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Dara M. Cannon

National University of Ireland

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Peter McCarthy

National University of Ireland

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John McFarland

National University of Ireland

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Louise Emsell

Katholieke Universiteit Leuven

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Camilla Langan

National University of Ireland

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Cathy Scanlon

National University of Ireland

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Mohamed Ahmed

National University of Ireland

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