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Maternal Depression, Child Temperament, and Early-Life Stress Predict Never-Depressed Preadolescents’ Functional Connectivity During a Negative-Mood Induction
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In: Linguistics Publications (2021)
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Abstract:
Understanding the development of depression can inform etiology and prevention/intervention. Maternal depression and maladaptive patterns of temperament (e.g., low positive emotionality [PE] or high negative emotionality, especially sadness) are known to predict depression. Although it is unclear how these risks cause depression, altered functional connectivity (FC) during negative-emotion processing may play an important role. We investigated whether maternal depression and age-3 emotionality predicted FC during negative mood reactivity in never-depressed preadolescents and whether these relationships were augmented by early-life stress. Maternal depression predicted decreased medial prefrontal cortex (mPFC)–amygdala and mPFC–insula FC but increased mPFC–posterior cingulate cortex (PCC) FC. PE predicted increased dorsolateral prefrontal cortex–amygdala FC, whereas sadness predicted increased PCC-based FC in insula, orbitofrontal cortex, and anterior cingulate cortex (ACC). Sadness was more strongly associated with PCC–insula and PCC–ACC FC as early stress increased. Findings indicate that early depression risks may be mediated by FC underlying negative-emotion processing.
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Keyword:
functional connectivity; maternal depression; negative mood reactivity; stress; temperamental risk
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URL: https://ir.lib.uwo.ca/linguisticspub/5 https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=1004&context=linguisticspub
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42 |
Automated Mental Disorders Assessment Using Machine Learning
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43 |
The psychological impact of the COVID-19 crisis on young Swiss men participating in a cohort study.
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In: Swiss medical weekly, vol. 151, pp. w30028 (2021)
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44 |
Impact of caregiver depression on child asthma outcomes in Mexicans and Puerto Ricans
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In: College of Nursing Faculty Publications (2021)
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45 |
Multi-Modal Social and Psycho-Linguistic Embedding via Recurrent Neural Networks to Identify Depressed Users in Online Forums
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In: Computer Science Faculty Publications and Presentations (2020)
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46 |
Depressive Symptom Profiles Predict Specific Neurodegenerative Disease Syndromes in Early Stages.
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47 |
Depressive Symptom Profiles Predict Specific Neurodegenerative Disease Syndromes in Early Stages.
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48 |
The Power Of Words: How Are Depression Symptoms And Labile Self-Esteem Related To Word Use?
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In: UC Riverside Undergraduate Research Journal, vol 14, iss 1 (2020)
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49 |
Undergraduate and Graduate Students’ Mental Health During the COVID-19 Pandemic
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50 |
Characterising social structural and linguistic behaviours of subgroup interactions: a case of online health communities for postpartum depression on Facebook ...
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51 |
Depression among Adolescents in Malaysia: A Comparison of Findings Between National Health and Morbidity Survey (NHMS) 2012 and 2017 ...
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Depression among Adolescents in Malaysia: A Comparison of Findings Between National Health and Morbidity Survey (NHMS) 2012 and 2017 ...
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53 |
Detecting psychological sentiments in users from social networks
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54 |
Music and Medicine: applications in Neurology, Neuropsychiatry and Speech Therapy ...
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55 |
Music and Medicine: applications in Neurology, Neuropsychiatry and Speech Therapy ...
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56 |
Assessing Health Related Quality of Life, Language Impairment, and Psychosocial Factors in Post-Stroke Aphasia
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In: Honors College (2020)
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57 |
Depression and Microbiome—Study on the Relation and Contiguity between Dogs and Humans
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In: Applied Sciences ; Volume 10 ; Issue 2 (2020)
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58 |
The Incidence of Post-stroke Depression in Adults with Aphasia in an Acute Care Setting
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In: Gerontology Theses (2020)
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59 |
Postnatal trajectories of maternal depressive symptoms: Postpartum antecedents and differences in toddler adjustment
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60 |
Perspectives of Catholic Latina mothers on female adolescent depression: A qualitative approach
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