Dr Matthew Kempton
Reader in Neuroimaging Psychiatry
Research interests
- Mental Health
Biography
Dr. Matthew Kempton’s main interests are neuroimaging (particularly structural MRI) in psychosis disorders such as schizophrenia and bipolar disorder. He recently completed an MRC Career Development Fellowship leading a longitudinal multicentre neuroimaging of individuals at risk of psychosis. In addition to characterising changes in brain structure in psychiatric disorders, their group is working to increase the sensitivity of structural MRI to <1% changes in brain volume through the Precision in Neuroimaging project. Their research group also developed the ENIGMA VBM tool which is being used to analyse structural MRI data across a range of psychiatric disorders across the ENIGMA consortium. To clarify changes in brain structure he has worked on a number of meta-analyses looking at Schizophrenia, Bipolar Disorder, Major Depression and PTSD. He is grateful to be have been funded by the NIHR, MRC, Wellcome Trust and EU.
His main teaching focus is on statistics and research methods for Masters Students and lecturing in neuroimaging. He is Deputy Programme Leader of the Psychiatric Research MSc and currently chair the Department of Psychosis Studies PhD Committee.
If you are interested in doing a PhD with Matthew do get in touch. He currently has PhD projects available to apply to via the MRC DTP studentships and King's China Council Scholarships.
Software and data repositories
Their research team has created a number of online tools related to structural neuroimaging in psychiatric disorders which are listed below:
ENIGMA VBM Tool -Software to automatically quality control structural MRI data and undertake Voxel Based Morphometry. The software has been developed for the ENIGMA consortium and only requires transfer of group data.
Precision in Neuroimaging Study -Freely available structural MRI and physiological data from participants who have been scanned at multiple timepoints and on different scanners.
ALVIN - an MRI segmentation tool for the lateral ventricles which is relatively insensitive to scanner parameters
http://www.depressiondatabase.org - Online database and meta-analysis of structural MRI studies in major depressive disorder as a companion to our paper published in Archives of General Psychiatry
www.ptsdmri.uk - Online database and meta-analysis of structural MRI studies in PTSD as a companion to our paper published in American Journal of Psychiatry
www.bipolardatabase.org - Online database and meta-analysis of structural MRI studies in bipolar disorder as a companion to our paper published in Archives of General Psychiatry
News
Volume of grey brain matter significantly lower in people with Early Onset Psychosis
Researchers have found an association between a reduction in grey matter in the brain and Early Onset Psychosis (EOP).
Dr. Matthew Kempton’s main interests are neuroimaging (particularly structural MRI) in psychosis disorders such as schizophrenia and bipolar disorder. He recently completed an MRC Career Development Fellowship leading a longitudinal multicentre neuroimaging of individuals at risk of psychosis. In addition to characterising changes in brain structure in psychiatric disorders, their group is working to increase the sensitivity of structural MRI to <1% changes in brain volume through the Precision in Neuroimaging project. Their research group also developed the ENIGMA VBM tool which is being used to analyse structural MRI data across a range of psychiatric disorders across the ENIGMA consortium. To clarify changes in brain structure he has worked on a number of meta-analyses looking at Schizophrenia, Bipolar Disorder, Major Depression and PTSD. He is grateful to be have been funded by the NIHR, MRC, Wellcome Trust and EU.
His main teaching focus is on statistics and research methods for Masters Students and lecturing in neuroimaging. He is Deputy Programme Leader of the Psychiatric Research MSc and currently chair the Department of Psychosis Studies PhD Committee.
If you are interested in doing a PhD with Matthew do get in touch. He currently has PhD projects available to apply to via the MRC DTP studentships and King's China Council Scholarships.
Software and data repositories
Their research team has created a number of online tools related to structural neuroimaging in psychiatric disorders which are listed below:
ENIGMA VBM Tool -Software to automatically quality control structural MRI data and undertake Voxel Based Morphometry. The software has been developed for the ENIGMA consortium and only requires transfer of group data.
Precision in Neuroimaging Study -Freely available structural MRI and physiological data from participants who have been scanned at multiple timepoints and on different scanners.
ALVIN - an MRI segmentation tool for the lateral ventricles which is relatively insensitive to scanner parameters
http://www.depressiondatabase.org - Online database and meta-analysis of structural MRI studies in major depressive disorder as a companion to our paper published in Archives of General Psychiatry
www.ptsdmri.uk - Online database and meta-analysis of structural MRI studies in PTSD as a companion to our paper published in American Journal of Psychiatry
www.bipolardatabase.org - Online database and meta-analysis of structural MRI studies in bipolar disorder as a companion to our paper published in Archives of General Psychiatry
News
Volume of grey brain matter significantly lower in people with Early Onset Psychosis
Researchers have found an association between a reduction in grey matter in the brain and Early Onset Psychosis (EOP).
Dr. Matthew Kempton’s main interests are neuroimaging (particularly structural MRI) in psychosis disorders such as schizophrenia and bipolar disorder. He recently completed an MRC Career Development Fellowship leading a longitudinal multicentre neuroimaging of individuals at risk of psychosis. In addition to characterising changes in brain structure in psychiatric disorders, their group is working to increase the sensitivity of structural MRI to <1% changes in brain volume through the Precision in Neuroimaging project. Their research group also developed the ENIGMA VBM tool which is being used to analyse structural MRI data across a range of psychiatric disorders across the ENIGMA consortium. To clarify changes in brain structure he has worked on a number of meta-analyses looking at Schizophrenia, Bipolar Disorder, Major Depression and PTSD. He is grateful to be have been funded by the NIHR, MRC, Wellcome Trust and EU.
His main teaching focus is on statistics and research methods for Masters Students and lecturing in neuroimaging. He is Deputy Programme Leader of the Psychiatric Research MSc and currently chair the Department of Psychosis Studies PhD Committee.
If you are interested in doing a PhD with Matthew do get in touch. He currently has PhD projects available to apply to via the MRC DTP studentships and King's China Council Scholarships.
Software and data repositories
Their research team has created a number of online tools related to structural neuroimaging in psychiatric disorders which are listed below:
ENIGMA VBM Tool -Software to automatically quality control structural MRI data and undertake Voxel Based Morphometry. The software has been developed for the ENIGMA consortium and only requires transfer of group data.
Precision in Neuroimaging Study -Freely available structural MRI and physiological data from participants who have been scanned at multiple timepoints and on different scanners.
ALVIN - an MRI segmentation tool for the lateral ventricles which is relatively insensitive to scanner parameters
http://www.depressiondatabase.org - Online database and meta-analysis of structural MRI studies in major depressive disorder as a companion to our paper published in Archives of General Psychiatry
www.ptsdmri.uk - Online database and meta-analysis of structural MRI studies in PTSD as a companion to our paper published in American Journal of Psychiatry
www.bipolardatabase.org - Online database and meta-analysis of structural MRI studies in bipolar disorder as a companion to our paper published in Archives of General Psychiatry