Intergenerational Neuroimaging of Human Brain Circuitry

Ho, Tiffany C.; Sanders, Stephan; Gotlib, Ian H.; Hoeft, Fumiko

doi:10.1016/j.tins.2016.08.003

Cited by 18 publications

(19 citation statements)

References 16 publications

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“…These mechanisms of transmission can be further explored by studying children reared by non-biological parents. A recent review of intergenerational neuroimaging study designs by Ho et al (2016) outlines suggestions for future research aiming at delineating familial contributions to disease endophenotypes at the level of neural function and structure. Ho et al propose that through studying the offspring of in vitro fertilization (IVF) born via surrogacy or donor sperm/eggs, investigators will be able to better elucidate genetic and environmental contributions to neural endophenotypes.…”

Section: Discussionmentioning

confidence: 99%

“…In an effort to understand the intergenerational transmission of neural circuitry relevant to emotional processing, researchers have recently begun to examine neural concordance between parents and their offspring ( Foland-Ross et al , 2016 ; Ho et al , 2016 ; Yamagata et al , 2016 ). For example, Yamagata et al (2016) examined patterns of regional tissue volume in corticolimbic structures in parents and their children.…”

Section: Introductionmentioning

confidence: 99%

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Like mother like daughter: putamen activation as a mechanism underlying intergenerational risk for depression

Colich¹,

Ho²,

Ellwood-Lowe³

et al. 2017

Social Cognitive and Affective Neuroscience

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Having a depressed mother is one of the strongest predictors for developing depression in adolescence. Given the role of aberrant reward processing in the onset and maintenance of depression, we examined the association between mothers’ and their daughters’ neural response to the anticipation of reward and loss. Fifteen non-depressed mothers with a history of recurrent depression and their never-disordered daughters, and 23 mothers without past or current depression and their never-disordered daughters, underwent functional magnetic resonance imaging while performing the monetary incentive delay task. To assess mother-daughter concordance, we first identified ROIs involved in the anticipation of reward and loss across all mother-daughter pairs. Within each of these ROIs, we examined the association between mothers’ and daughters’ neural response, and the interaction between group status and mothers’ neural response in predicting daughters’ neural response. We found a significant association between mothers’ and daughters’ putamen response to the anticipation of loss, regardless of mother’s depression history. Furthermore, pubertal stage moderated the association between mother-daughter putamen concordance. Our findings suggest a unique role of the putamen in the maternal transmission of reward learning and have important implications for understanding disorders characterized by disturbances in reward learning and processing, such as major depression.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Like mother like daughter: putamen activation as a mechanism underlying intergenerational risk for depression

Colich¹,

Ho²,

Ellwood-Lowe³

et al. 2017

Social Cognitive and Affective Neuroscience

Self Cite

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“…The impact of prenatal effects (e.g. parent nutrition and in-utero environment), rearing effects and other environmental factors could cause epigenetic changes (changes in gene function in the absence of gene sequence changes) or behavioural changes in the children, which are transmitted intergenerationally [106]. Intergenerational neuroimaging may be a promising way forward in clarifying the ontogeny of complex neurodevelopmental disorders, such as DCD.…”

Section: Neuroimaging Intergenerational Transmission Of Brain Circuitrymentioning

confidence: 99%

“…Intergenerational neuroimaging may be a promising way forward in clarifying the ontogeny of complex neurodevelopmental disorders, such as DCD. One way of disentangling inherited factors from pre-and postnatal influences is by utilising the potential of natural cross-fostering designs that take advantage of different types of in vitro fertilisation (homologous surrogacy (mother is egg donor and birth mother), donor egg pregnancy (mother is not egg donor but is birth mother) or heterologous surrogacy (mother is egg donor but not birth mother)) [106]. Such designs hold promise to address many crucial questions in DCD research.…”

Section: Neuroimaging Intergenerational Transmission Of Brain Circuitrymentioning

confidence: 99%

Neuroimaging Findings for Developmental Coordination Disorder (DCD) in Adults: Critical Evaluation and Future Directions

Reid¹

2020

Neuroimaging - Neurobiology, Multimodal and Network Applications

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Approximately 75% of those diagnosed with developmental coordination disorder (DCD) exhibit motor problems in adulthood. Neuroimaging studies promise to reveal the endophenotypes of mature brain systems affected by DCD. The aim here was to review these publications. Bibliographic searches identified papers published before June 2019. Neuroimaging results revealed: functional abnormalities in the prefrontal, frontal and occipital regions, superior parietal lobe and cerebellum; structural white matter abnormalities in the corticospinal tract, internal capsule and inferior and superior longitudinal fasciculi; significantly reduced interhemispheric cortical inhibition within the primary motor cortex (hPMC); lack of increased hPMC activity during a motor imagery task and a reduced leftwards brain asymmetry for speech. These results suggest complex endophenotypes for adults with DCD (DCDAs). However, the studies have shortcomings. For instance, all relied upon small and unrepresentative samples. Gender and age were not tested systematically. The effects of many co-occurring disorders were not controlled. Most studies relied on between group comparisons, which, given the heterogeneity of DCD, may obscure the results for underrepresented cases. Overall, the young field of neuroimaging studies of DCDAs reported interesting results; however, there is an urgent need for investigations to address these shortcomings. Future research directions, including cuttingedge neuroimaging techniques and imaging genetics, are discussed. using a skill and chronological age), acquisition and execution of coordinated motor skills. Second, this motor deficit significantly interferes with the activities of everyday life, academic achievements and occupational and recreational activities. Third, DCD symptoms have their onset in early development. Fourth, deficits in motor skills are not better accounted for by intellectual or visual deficits, or neurological impairments, such as degenerative disorder, cerebral palsy, muscular dystrophy, multiple sclerosis or Parkinson's disease, which affect movement.Different prevalence rates of DCD have been reported; however, perhaps the most reliable are the results from a large UK population study of 6990 7-to 8-yearold children [2]. This study revealed a prevalence of 1.7%. An additional 3.2% of children were identified as having 'probable DCD' by using broader cut-off criteria on tests of motor coordination and activities of daily living. Males are more often affected than females, with the male to female ratio ranging from 2:1 to 7:1 [1].Until recently, motor-coordination difficulties in childhood were thought to be typically outgrown in adulthood. However, it is estimated that approximately 75% of those diagnosed with DCD will continue to exhibit motor problems into adulthood [3,4]. Indeed, studies on DCDAs [5-18] demonstrate that they perform significantly worse than control participants (CPs) on various motor tasks. If one pauses for a moment and considers that the only way humans can affect the wo...

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“…Although genetic and non-genetic environmental effects are clearly transferred to children from their parents, the mechanisms of parent-child similarity are poorly understood 8 .…”

Section: Introductionmentioning

confidence: 99%

Intergenerational transmission of the patterns of functional and structural brain networks

Takagi

Okada

Ando

et al. 2020

Preprint

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31There is clear evidence of intergenerational transmission of life values, cognitive traits, and 32 even aspects of daily decision making. However, the neurobiological mechanisms underlying 33 these phenomena remain elusive. A growing amount of evidence indicates that brain 34 information obtained using magnetic resonance imaging can predict individual differences, 35suggesting that the brain may also be a biological substrate of parent-child similarity. Here, by 36 employing a large cohort dataset and machine-learning techniques, we reliably identified the 37 brains of parents from those of their children. Identification performance was not solely 38 driven by either functional or structural parent-child brain similarity alone; both functional 39 and structural information contributed in a complementary fashion. Strikingly, parent-child 40 brain similarity was found to be relevant to behavioral similarity in fundamental cognitive 41 traits of intelligence. Our results demonstrate that patterns of functional and structural brain 42 information are preserved over a generation, constituting a fundamental factor in parent-child 43 similarity. 44 65 brain is more similar to their parent's brain than to another adult's brain. Although some 66 studies have used brain information of both parents and their children [25][26][27][28] , no previous study 67 has directly tested parent-child brain similarity. Therefore, it is currently unclear how 68 functional or structural brain properties are related to parent-child similarity. This situation 69 has arisen, in part, because investigating the above question requires a large number of 70 parent-child neuroimaging datasets pairs. Furthermore, such an approach requires a formal 71 analytical framework with rigorous statistical analyses and computational resources for 72 comparing brain similarity. 73Here, we sought to understand the neurobiological substrates of parent-child 74 similarity by combining a statistical technique and a dataset from a subsample of a large 75 4 population-based longitudinal cohort (N = 84 parent-child pairs) consisting of resting-state 76 fMRI, structural MRI, and cognitive measures of parents and their children 29,30 . We sought to 77 answer several questions: Do parents and their children have similar brains? If so, which brain 78 regions contribute most to the similarity? Is the similarity solely driven by functional or 79 structural similarity? Is neural similarity relevant to behavioral similarity? 80Using a dataset consisting of parents and their children, we first quantitatively 81 investigated parent-child brain similarity. Inspired by a recently developed classification-based 82 approach for comparing brain similarity across different datasets 9 , we proposed a framework 83 for investigating whether parents and their children can be identified based on their brain 84 characteristics. We first used the entire brain, then split it into sub-networks and investigated 85 which brain networks contributed to parent-child identification. We next c...

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Intergenerational Neuroimaging of Human Brain Circuitry

Cited by 18 publications

References 16 publications

Like mother like daughter: putamen activation as a mechanism underlying intergenerational risk for depression

Like mother like daughter: putamen activation as a mechanism underlying intergenerational risk for depression

Neuroimaging Findings for Developmental Coordination Disorder (DCD) in Adults: Critical Evaluation and Future Directions

Intergenerational transmission of the patterns of functional and structural brain networks

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