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Imaging and cardiovascular genetics

Students learn how brain imaging and cardiovascular imaging results can be combined with genetics to detect genetic variations that significant influence nervous system functions related to behavioural traits, including cognitive and affective regulation, and psychiatric endpoints.

Human behaviour shows substantial individual variation which can be explained to a large extent by differences in the genetic makeup of individuals. It is therefore of crucial importance to gain knowledge of the genetic underpinnings of normal and, in particular, abnormal behaviour. For example, knowledge about the genetic variants that underlie psychiatric conditions such as ADHD, depression and schizophrenia provides keys to obtain more in-depth understanding of the underlying pathophysiology. In addition identification of relevant genes affords the ability to predict at risk people and can provide novel insights to improve care and pave the way to the application of personalised interventions. To date the search for genetic variants that influence behaviour and elucidation of the biological pathways through which they do so remains a tremendous scientific challenge. This of course reflects the complexity of behavioural traits as well as their highly polygenetic background. An added problem is that detailed quantitative descriptions of abnormal behaviours and psychiatric diseases are generally lacking. Current health diagnostic systems generally entail only qualitative appraisals of behaviour symptoms or psychiatric disorders, i.e., "one has a symptom or disorder or not". Instead of behaviour itself, quantitative measures of specific nervous system function that underlie final output behaviour likely are more closely linked to genetic variation and therefore help elucidate the pathways by which these genetic variants influence behaviour. Measuring these biomarkers, or "endophenotypes", can furthermore help us understand how these genes exert their effect by highlighting the associated functional neurobiological changes.

Dr. D. van ‘t Ent

Dr. D. van ‘t Ent

Prof. dr. E.J.C. de Geus

Prof. dr. E.J.C. de Geus

Course Description

In this course we will focus on biomarkers from the central nervous system (brain), obtained by Magnetic Resonance Imaging (MRI), and biomarkers from the autonomic nervous system, obtained by the electrocardiogram (ECG) and the impedance cardiogram (ICG). Students are introduced to the basic methodology required to obtain the raw data for both modalities, as well as the subsequent analysis steps needed to arrive at final quantitative measures. For MRI this includes learning how to obtain measures of global and local brain structure from T1 weighted images, and parameters indicating brain connectivity from Diffusion Tensor Images (DTI), and measures of brain function and indicators of functional networks from Echo Planar Images (EPI). For ECG, students will learn the practical skills to record psychophysiological signals and analyzing and scoring these signals to obtain measures of heart rate variability and cardiac impedance parameters such as the preejection period (PEP) and respiratory sinus arrhythmia (RSA) related to cardiac sympathetic and parasympathetic drive, respectively. Based on published work from the scientific literature it will then be demonstrated how this brain and cardiovascular imaging information can be combined with basic molecular information on the individual’s genomes in the context of Genome Wide Association or candidate gene designs, to pinpoint relevant genetic variation and understand the functional consequences of specific genes on brain and cardiac system level. Important findings and their implications in the field of brain imaging and cardiovascular genetics will be highlighted and discussed.

Study Characteristics

  • Discipline: Psychology
  • Type of education: In class
  • Academic skill: Research | Discipline related
  • Graduate School: Graduate School of the Faculty of Behavioral and Movement Sciences
  • Start date: TBD
  • End date: TBD
  • Minimum number of students: N/A
  • Maximum number of students: 30
  • Admission criteria: Contact the course coordinator for information on admission criteria: Dr. D. van ‘t Ent, d.vant.ent@vu.nl
  • Concluding assessment: Yes
  • Assessment type: A final grade based on the average grade of 2 separate assessments, a short oral presentation on a recent brain/cardiovascular imaging genetics paper (30%) and a final written exam (70%) consisting of 30 MC (knowledge, practical skills) and 2 Open Ended questions (understanding)
  • With Certificate: Yes 
  • Schedule info: https://studiegids.vu.nl/en/Master/2019-2020/genes-in-behaviour-and-health/P_MIMCVG
  • Number of lessons: N/A
  • Total course duration in hrs.: N/A
  • Sign up period: N/A
  • Anticipated hrs of study: N/A
  • Available to: PhD students VU (and VU RMA students)
  • Course Description & Study Characteristics

    Course Description

    In this course we will focus on biomarkers from the central nervous system (brain), obtained by Magnetic Resonance Imaging (MRI), and biomarkers from the autonomic nervous system, obtained by the electrocardiogram (ECG) and the impedance cardiogram (ICG). Students are introduced to the basic methodology required to obtain the raw data for both modalities, as well as the subsequent analysis steps needed to arrive at final quantitative measures. For MRI this includes learning how to obtain measures of global and local brain structure from T1 weighted images, and parameters indicating brain connectivity from Diffusion Tensor Images (DTI), and measures of brain function and indicators of functional networks from Echo Planar Images (EPI). For ECG, students will learn the practical skills to record psychophysiological signals and analyzing and scoring these signals to obtain measures of heart rate variability and cardiac impedance parameters such as the preejection period (PEP) and respiratory sinus arrhythmia (RSA) related to cardiac sympathetic and parasympathetic drive, respectively. Based on published work from the scientific literature it will then be demonstrated how this brain and cardiovascular imaging information can be combined with basic molecular information on the individual’s genomes in the context of Genome Wide Association or candidate gene designs, to pinpoint relevant genetic variation and understand the functional consequences of specific genes on brain and cardiac system level. Important findings and their implications in the field of brain imaging and cardiovascular genetics will be highlighted and discussed.

    Study Characteristics

    • Discipline: Psychology
    • Type of education: In class
    • Academic skill: Research | Discipline related
    • Graduate School: Graduate School of the Faculty of Behavioral and Movement Sciences
    • Start date: TBD
    • End date: TBD
    • Minimum number of students: N/A
    • Maximum number of students: 30
    • Admission criteria: Contact the course coordinator for information on admission criteria: Dr. D. van ‘t Ent, d.vant.ent@vu.nl
    • Concluding assessment: Yes
    • Assessment type: A final grade based on the average grade of 2 separate assessments, a short oral presentation on a recent brain/cardiovascular imaging genetics paper (30%) and a final written exam (70%) consisting of 30 MC (knowledge, practical skills) and 2 Open Ended questions (understanding)
    • With Certificate: Yes 
    • Schedule info: https://studiegids.vu.nl/en/Master/2019-2020/genes-in-behaviour-and-health/P_MIMCVG
    • Number of lessons: N/A
    • Total course duration in hrs.: N/A
    • Sign up period: N/A
    • Anticipated hrs of study: N/A
    • Available to: PhD students VU (and VU RMA students)

Contact the course coordinator for registration

Dr. D. van ‘t Ent

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