Jonathan Posner

University of Utah

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Co-Authors

Myrna M. Weissman

Columbia University

Ardesheer Talati

Columbia University

Cristiane S. Duarte

Columbia University

Jiook Cha

Seoul National University

Catherine Monk

Michigan State University

Bradley S. Peterson

Children's Hospital of Los Angeles

Yun Wang

First Affiliated Hospital of Soochow University

Marc J. Gameroff

Columbia University

Claudia Lugo‐Candelas

Columbia University

Joanna Steinglass

Columbia University Irving Medical Center

Cooperative Institutions

Cohort (United Kingdom)

293

Columbia University

240

New York State Psychiatric Institute

164

Columbia University Irving Medical Center

152

New York Psychoanalytic Society and Institute

143

Johns Hopkins University

114

Harvard University

104

Outcomes Research Consortium

University of North Carolina at Chapel Hill

Michigan State University

Author Statistics

Papers

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56. Charting the Influence of Maternal Depression Throughout Pregnancy on Neonatal Thalamocortical White Matter Connectivity

Biological Psychiatry (2024)

Yun Wang Anthony Gagnon Elizabeth Raffanello Yanming Xiu Virginie Bouchard

Depression

White (mutation)

10.1016/j.biopsych.2024.02.234

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Altered intrinsic functional connectivity of the cingulate cortex in children with severe temper outbursts

Amy Krain Roy Randi Bennett Jonathan Posner Leslie A. Hulvershorn F. Xavier Castellanos

Severe temper outbursts (STO) in children are associated with impaired school and family functioning and may contribute to negative outcomes. These outbursts can be conceptualized as excessive frustration responses reflecting reduced emotion regulation capacity. The anterior cingulate cortex (ACC) has been implicated in negative affect as well as emotional control, and exhibits disrupted function in children with elevated irritability and outbursts. This study examined the intrinsic functional connectivity (iFC) of a region of the ACC, the anterior midcingulate cortex (aMCC), in 5- to 9-year-old children with STO (n = 20), comparing them to children with attention-deficit/hyperactivity disorder (ADHD) without outbursts (ADHD; n = 18). Additional analyses compared results to a sample of healthy children (HC; n = 18) and examined specific associations with behavioral and emotional dysregulation. Compared to the ADHD group, STO children exhibited reduced iFC between the aMCC and surrounding regions of the ACC, and increased iFC between the aMCC and precuneus. These differences were also seen between the STO and HC groups; ADHD and HC groups did not differ. Specificity analyses found associations between aMCC-ACC connectivity and hyperactivity, and between aMCC-precuneus iFC and emotion dysregulation. Disruption in aMCC networks may underlie the behavioral and emotional dysregulation characteristic of children with STO.

Irritability

Emotional dysregulation

Affect

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Prenatal Opioid Exposure: Neurodevelopmental Consequences and Future Research Priorities

PEDIATRICS (2019)

Elisabeth Conradt Tess Flannery Judy L. Aschner Robert D. Annett Lisa Croen

Neonatal opioid withdrawal syndrome (NOWS) has risen in prevalence from 1.2 per 1000 births in 2000 to 5.8 per 1000 births in 2012. Symptoms in neonates may include high-pitched cry, tremors, feeding difficulty, hypertonia, watery stools, and breathing problems. However, little is known about the neurodevelopmental consequences of prenatal opioid exposure in infancy, early childhood, and middle childhood. Even less is known about the cognitive, behavioral, and academic outcomes of children who develop NOWS. We review the state of the literature on the neurodevelopmental consequences of prenatal opioid exposure with a particular focus on studies in which NOWS outcomes were examined. Aiming to reduce the incidence of prenatal opioid exposure in the near future, we highlight the need for large studies with prospectively recruited participants and longitudinal designs, taking into account confounding factors such as socioeconomic status, institutional variations in care, and maternal use of other substances, to independently assess the full impact of NOWS. As a more immediate solution, we provide an agenda for future research that leverages the National Institutes of Health Environmental Influences on Child Health Outcomes program to address many of the serious methodologic gaps in the literature, and we answer key questions regarding the short- and long-term neurodevelopmental health of children with prenatal opioid exposure.

Prenatal Care

Neurodevelopmental disorder

10.1542/peds.2019-0128

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Citations (145)

F78. The Impact of Family History of Depression on the Relation Between Episodic Memory Encoding and Intrinsic Hippocampal Connectivity

Biological Psychiatry (2019)

Christina B. Young Ardesheer Talati Jonathan Posner Myrna M. Weissman Stewart A. Shankman

Depression

Association (psychology)

10.1016/j.biopsych.2019.03.615

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Indexing Mealtime Stress in Anorexia Nervosa: A Case for Cortisol

Biological Psychiatry (2021)

Caitlin Lloyd Susie Hong Janet Schebendach Jonathan Posner Joanna Steinglass

Anorexia nervosa

Anorexia

10.1016/j.biopsych.2021.02.297

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6.8 IMPULSIVITY AND PREDICTION ERROR CIRCUITS IN CHILDREN WITH ADHD

Journal of the American Academy of Child & Adolescent Psychiatry (2019)

Joel Bernanke Alex Luna Wouter van den Bos Jonathan Posner

10.1016/j.jaac.2019.08.400

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Maternal Parenting Distress Associated With Offspring Altered Dentate Gyrus Microstructure, Dentate Gyrus-Orbitofrontal Functional Connectivity and Decreased Cognitive Flexibility

Biological Psychiatry (2020)

Milenna T. van Dijk Christoph Anacker Jiook Cha Yun Wang Eyal Abraham

Orbitofrontal cortex

Cognitive flexibility

Superior frontal gyrus

10.1016/j.biopsych.2020.02.1051

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Enduring problems in the offspring of depressed parents followed up to 38 years

EClinicalMedicine (2021)

Myrna M. Weissman Ardesheer Talati Marc J. Gameroff Lifang Pan Jamie Skipper

Backgroundwhile the increased risk of major depressive disorder (MDD) in offspring of depressed parents is one of the best-replicated findings in psychiatry, their long-term outcomes are less well known. The clinical outcomes of biological offspring of depressed (high-risk) and not depressed (low-risk) parents who have been directly interviewed over the years are presented.Methodsa longitudinal retrospective cohort study began in 1982, and 276 biological offspring of moderately-to-severely depressed or non-depressed parents from the same community were followed up to 38 years. Rates of psychiatric disorders for offspring were collected by clinically trained interviewers. Final diagnoses were made by M.D. or Ph.D. clinicians. Mortality and cause of death were obtained from relatives and registries.Findingshigh- compared to low-risk offspring continue to have about a three-fold increased risk of MDD, increased rates of anxiety disorder, substance dependence, and poorer functioning over the life course. Adolescence and early adulthood remain prime age of first onsets. Within high-risk group only, the death rate due to unnatural causes, suicides and overdose was 4·97/100 in the offspring and 5·36/100 in their parents. This subsample of White, lower-educated, often unemployed persons, who died by unnatural causes are similar demographically to those described as having a recent increase in 'deaths of despair'.Interpretationfamily history of MDD continues to be a powerful predictor of clinical course and mortality and should be probed in clinical visits, especially in youth when depression usually first appears.FundingThis work is supported by NIMH grant R01MH-036,197 (P.I.s: Weissman, Posner).

10.1016/j.eclinm.2021.101000

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Citations (15)

PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer

arXiv (Cornell University) (2021)

Xuzhe Zhang Xinzi He Jia Guo Nabil Ettehadi Natalie Aw

Magnetic resonance imaging (MRI) noninvasively provides critical information about how human brain structures develop across stages of life. Developmental scientists are particularly interested in the first few years of neurodevelopment. Despite the success of MRI collection and analysis for adults, it is a challenge for researchers to collect high-quality multimodal MRIs from developing infants mainly because of their irregular sleep pattern, limited attention, inability to follow instructions to stay still, and a lack of analysis approaches. These challenges often lead to a significant reduction of usable data. To address this issue, researchers have explored various solutions to replace corrupted scans through synthesizing realistic MRIs. Among them, the convolution neural network (CNN) based generative adversarial network has demonstrated promising results and achieves state-of-the-art performance. However, adversarial training is unstable and may need careful tuning of regularization terms to stabilize the training. In this study, we introduced a novel MRI synthesis framework - Pyramid Transformer Net (PTNet). PTNet consists of transformer layers, skip-connections, and multi-scale pyramid representation. Compared with the most widely used CNN-based conditional GAN models (namely pix2pix and pix2pixHD), our model PTNet shows superior performance in terms of synthesis accuracy and model size. Notably, PTNet does not require any type of adversarial training and can be easily trained using the simple mean squared error loss.

USable

Regularization

Benchmarking

10.48550/arxiv.2105.13993

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Citations (14)

Table of Contents

Biological Psychiatry (2017)

Panos Zanos Todd D. Gould Dan J. Stein Petrus J.W. Naudé Michael Berk

Table (database)

10.1016/s0006-3223(17)32164-9

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