Dear all,
On Friday, November 23, Dr. Heungsun Hwang from McGill's Psychology will be speaking about structural equation modeling for genetic, brain, and cognitive data (title & abstract below). As usual, the talk will span from 12-1 PM in room 735 of 2001 McGill College Avenue. Everyone is welcome.
For a full schedule of talks this term, please visit https://www.mcgill.ca/psychology/events-colloquia-0/brownbag-series.
To be added to the cognitive list serve and get day-of updates & information about additional talks, please visit http://mx0.psych.mcgill.ca/mailman/listinfo/coggroup.
— Imaging genetics structural equation modeling for investigating associations among genetic, brain, and behavioural/cognitive phenotypes Heungsun Hwang (Psychology, McGill)
Researchers in statistical science have increasingly been able to access both genetic and neuroimaging data collected from the same individuals, enabling to investigate genetic influence on the variation of brain function which is in turn associated with behavioural or cognitive variation. This emerging field, called imaging genetics, aims to integrate genetic and neuroimaging data with behavioural or cognitive outcomes to identify the neuromechanisms linked to individual differences in psychiatric disorders or cognitive tasks. Despite its great potential for studying disease- or task-specific “gene-brain-behaviour/cognition (G-B-B/C)” relationships, imaging genetics is faced with an ever-increasing need for statistical tools to examine these relationships in a more unified and confirmatory manner, while taking into account biological complexities (e.g., genetic networks, gene-gene interactions, gene-environment interactions, etc.) and methodological issues (e.g., high dimensionality and multicollinearity) embedded in genetic and neuroimaging data. Thus, we develop a general statistical tool, named Imaging Genetics Structural Equation Modeling (IGSEM), which allows researchers to specify various biologically plausible G-B-B/C relationships based on previous theories and knowledge, and examine the relationships in a more confirmatory manner. We will provide a non-technical description of IGSEM and its illustrative applications to PTSD and depression data.
Kind reminder that Dr. Heungsun Hwang from Psychology will be speaking at today’s CRAM session, 12-1 PM in room 735 of 2001 McGill College.
___________________________________ Mehrgol Tiv Ph.D. Student, Psychology, McGill University Language and Multilingualism Lab *mehrgoltiv.comhttp://mehrgoltiv.com/
On Nov 19, 2018, at 11:53 AM, Mehrgol Tiv <mehrgol.tiv@mail.mcgill.camailto:mehrgol.tiv@mail.mcgill.ca> wrote:
Dear all,
On Friday, November 23, Dr. Heungsun Hwang from McGill's Psychology will be speaking about structural equation modeling for genetic, brain, and cognitive data (title & abstract below). As usual, the talk will span from 12-1 PM in room 735 of 2001 McGill College Avenue. Everyone is welcome.
For a full schedule of talks this term, please visit https://www.mcgill.ca/psychology/events-colloquia-0/brownbag-series.
To be added to the cognitive list serve and get day-of updates & information about additional talks, please visit http://mx0.psych.mcgill.ca/mailman/listinfo/coggroup.
— Imaging genetics structural equation modeling for investigating associations among genetic, brain, and behavioural/cognitive phenotypes Heungsun Hwang (Psychology, McGill)
Researchers in statistical science have increasingly been able to access both genetic and neuroimaging data collected from the same individuals, enabling to investigate genetic influence on the variation of brain function which is in turn associated with behavioural or cognitive variation. This emerging field, called imaging genetics, aims to integrate genetic and neuroimaging data with behavioural or cognitive outcomes to identify the neuromechanisms linked to individual differences in psychiatric disorders or cognitive tasks. Despite its great potential for studying disease- or task-specific “gene-brain-behaviour/cognition (G-B-B/C)” relationships, imaging genetics is faced with an ever-increasing need for statistical tools to examine these relationships in a more unified and confirmatory manner, while taking into account biological complexities (e.g., genetic networks, gene-gene interactions, gene-environment interactions, etc.) and methodological issues (e.g., high dimensionality and multicollinearity) embedded in genetic and neuroimaging data. Thus, we develop a general statistical tool, named Imaging Genetics Structural Equation Modeling (IGSEM), which allows researchers to specify various biologically plausible G-B-B/C relationships based on previous theories and knowledge, and examine the relationships in a more confirmatory manner. We will provide a non-technical description of IGSEM and its illustrative applications to PTSD and depression data.