Grandchildren at High and Low Risk for Depression Differ in EEG Measures of Regional Brain Asymmetry

Bruder, Gerard E.; Tenke, Craig E.; Warner, Virginia; Weissman, Myrna M.

doi:10.1016/j.biopsych.2006.12.006

Cited by 53 publications

(44 citation statements)

References 55 publications

(50 reference statements)

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“…For third generation, because of the two preceding generations, we compared subjects who had both a parent and a grandparent with MDD with those with either a parent or grandparent, or neither. Consistent with the patterns from the previous generation, Generation 3 offspring with two generations of loading for depression demonstrated greater alpha asymmetry, with relatively less right-than left-hemisphere activity, compared to those with neither a depressed parent nor a depressed grandparent [29] (figure 5b). This difference was present in the parietal region only in the resting (eyes-closed) state, and not in the frontal regions for any condition.…”

Section: Electroencephalographysupporting

confidence: 73%

“…(b) Third-generation offspring (G3). Adapted with permission from Bruder et al [29]. Graphs illustrate mean alpha asymmetry (that is, difference between the right-hemispheric and left-hemispheric log alpha power) at frontal, central and parietal sites during eyes-closed conditions.…”

Section: Magnetic Resonance Imagingmentioning

confidence: 99%

“…We illustrate these approaches in the sections that follow. We do not elaborate on methodological aspects, as these have largely been covered elsewhere [28][29][30][31][32], and are not our primary focus. Instead, we emphasize the translational elements of these studies, demonstrating how applying biological measures to the high-risk design can provide unique opportunities to examine risk factors for disease.…”

Section: Three-generation Family Studymentioning

confidence: 99%

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Using the high-risk family design to identify biomarkers for major depression

Talati

Weissman

Hamilton

2013

Phil. Trans. R. Soc. B

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One contribution of 11 to a Theme Issue 'The neurobiology of depression-revisiting the serotonin hypothesis. II. Genetic, epigenetic and clinical studies'. The familial nature of major depressive disorder (MDD) is now well recognized. We followed children and grandchildren of probands with and without MDD to examine transmission of depression over generations, and to identify early vulnerability markers prior to the onset of disease. The study now includes three generations and five completed assessment waves spanning 25 years, with a sixth wave underway. Beginning with the fourth wave, we collected measures of brain structure (magnetic resonance imaging, MRI) and physiology (electroencephalography, EEG) and DNA in order to examine at a biological level why the offspring of depressed parents were at higher risk. In this paper, we provide an overview of the study design, the main findings, including new data, and the role of the high-risk design in translational research. We demonstrate that offspring of depressed parents ('high-risk'), when compared with those of non-depressed parents ('low-risk'), were at increased risk for depressive and anxiety disorders, with anxiety appearing earlier and being a predisposing factor for MDD. Offspring with two generations previously affected were at greatest risk. Thinning of the cortical mantle (MRI) and reduced resting-state activity (EEG) within the right parieto-temporal hemisphere differentiated high-from low-risk offspring, regardless of whether the offspring had MDD, suggesting that these measures might serve as familial trait markers for depression and related syndromes. The high-and low-risk offspring also differed by serotonin transporter promoter length polymorphism genotypes, even though the same genotypes were not associated with the presence of MDD. The high-risk epidemiological design appears to be a particularly valuable asset in translational research as it allows targeting of biological processes that emerge prior to the onset of disease, and identifies individuals at high risk for the disorder who may carry the trait or marker but not yet be affected.

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Section: Electroencephalographysupporting

confidence: 73%

Section: Magnetic Resonance Imagingmentioning

confidence: 99%

Section: Three-generation Family Studymentioning

confidence: 99%

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Using the high-risk family design to identify biomarkers for major depression

Talati

Weissman

Hamilton

2013

Phil. Trans. R. Soc. B

Self Cite

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“…In contrast, children with an elevated familial risk for depression but who also show greater relative left frontal activation (i.e., the opposite of the La>Ra finding for depressed individuals) have lower incidence of depression themselves [87]. Further to this finding, Bruder et al [88] reported that children whose parents or grandparents were depressed demonstrated greater Lα>Rα EEG asymmetry in the parietal (but not frontal) regions than offspring who did not have parents or grandparents who were depressed.…”

Section: Familial Risk Of Depression and Eeg Asymmetrymentioning

confidence: 86%

Frontal alpha asymmetry as a pathway to behavioural withdrawal in depression: Research findings and issues

Jesulola

Sharpley

Bitsika

et al. 2015

Behavioural Brain Research

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“…This might also explain the increased right hemisphere involvement in BD euthymia in this study. Also resting encephalogram in children with both parents and grandparents diagnozed with major depressive disorder showed greater alpha asymmetry, with relatively less right than left hemisphere activity, compared with children at lower risk for depression (Bruder et al, 2007). Although atypical right hemisphere functioning seems to be a trait characteristic associated with BD and major depression disorder, it is unclear whether this atypical functional hemispheric asymmetry reflects dysfunction, or a compensatory/adaptive mechanism of these disorders.…”

Section: Introductionmentioning

confidence: 97%

Atypical right hemispheric functioning in the euthymic state of bipolar affective disorder

Najt

Hausmann

2014

Psychiatry Research

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Grandchildren at High and Low Risk for Depression Differ in EEG Measures of Regional Brain Asymmetry

Cited by 53 publications

References 55 publications

Using the high-risk family design to identify biomarkers for major depression

Using the high-risk family design to identify biomarkers for major depression

Frontal alpha asymmetry as a pathway to behavioural withdrawal in depression: Research findings and issues

Atypical right hemispheric functioning in the euthymic state of bipolar affective disorder

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