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V Heinz

Showing results (41-50 of 56) with videos related to

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Developmental Neuroscience|March 24, 2025
Acute Onset Neuropsychiatric Conditions in Children and Adolescents following SARS-CoV-2 Infection: A Case SeriesMohamed T Jasser, Thomas Ferland, Thomas Bocian, et al.
BMC Psychiatry|July 2, 2025
Acute suicidal ideation in context: highlighting sentiment-based markers through the diary entries of a clinically depressed sampleDamien Lekkas, Amanda C Collins, Michael V Heinz, et al.
Frontiers in Pediatrics|October 9, 2023
Estimate of the incidence of PANDAS and PANS in 3 primary care populationsEllen R Wald, Jens Eickhoff, Grace E Flood, et al.
Journal of Psychopathology and Clinical Science|January 25, 2024
Depressive symptoms as a heterogeneous and constantly evolving dynamical system: Idiographic depressive symptom networks of rapid symptom changes among persons with major depressive disorderMatthew D Nemesure, Amanda C Collins, George D Price, et al.
Journal of Psychopathology and Clinical Science|April 10, 2025
Semantic signals in self-reference: The detection and prediction of depressive symptoms from the daily diary entries of a sample with major depressive disorderAmanda C Collins, Damien Lekkas, Matthew D Nemesure, et al.
Water Research|November 25, 2003
Measurement of glutathione in activated sludgesM A Dziurla, P Leroy, G W Strünkmann, et al.
Journal of Affective Disorders|July 19, 2024
The role of borderline personality disorder traits in predicting longitudinal variability of major depressive symptoms among a sample of depressed adultsEmily A Kline, Damien Lekkas, Anastasia Bryan, et al.
Psychological Assessment|November 6, 2025
Psychometric properties and validity of a Mobile Patient Health Questionnaire-9 (MPHQ-9) for ecological momentary assessment in depressed adultsDawson Haddox, Daniel M Mackin, Tess Z Griffin, et al.
Behaviour Research and Therapy|February 18, 2026
Interindividual differences in digital phenotypes of major depressive disorder: A passive sensing study using smartphone and wearable sensor dataElizabeth W Lampe, Amanda C Collins, Ahhyun Lee, et al.
Addictive Behaviors|January 29, 2026
Passive data do not improve prediction or detection of alcohol consumption beyond temporal patterns in major depression: A 90-day cross-validated studyAnna M Langener, Dawson Haddox, Daniel M Mackin, et al.
Pageof 6

Showing results (41-50 of 56) with videos related to

Sort By:
Pageof 6
Developmental Neuroscience|March 24, 2025
Acute Onset Neuropsychiatric Conditions in Children and Adolescents following SARS-CoV-2 Infection: A Case SeriesMohamed T Jasser, Thomas Ferland, Thomas Bocian, et al.
BMC Psychiatry|July 2, 2025
Acute suicidal ideation in context: highlighting sentiment-based markers through the diary entries of a clinically depressed sampleDamien Lekkas, Amanda C Collins, Michael V Heinz, et al.
Frontiers in Pediatrics|October 9, 2023
Estimate of the incidence of PANDAS and PANS in 3 primary care populationsEllen R Wald, Jens Eickhoff, Grace E Flood, et al.
Journal of Psychopathology and Clinical Science|January 25, 2024
Depressive symptoms as a heterogeneous and constantly evolving dynamical system: Idiographic depressive symptom networks of rapid symptom changes among persons with major depressive disorderMatthew D Nemesure, Amanda C Collins, George D Price, et al.
Journal of Psychopathology and Clinical Science|April 10, 2025
Semantic signals in self-reference: The detection and prediction of depressive symptoms from the daily diary entries of a sample with major depressive disorderAmanda C Collins, Damien Lekkas, Matthew D Nemesure, et al.
Water Research|November 25, 2003
Measurement of glutathione in activated sludgesM A Dziurla, P Leroy, G W Strünkmann, et al.
Journal of Affective Disorders|July 19, 2024
The role of borderline personality disorder traits in predicting longitudinal variability of major depressive symptoms among a sample of depressed adultsEmily A Kline, Damien Lekkas, Anastasia Bryan, et al.
Psychological Assessment|November 6, 2025
Psychometric properties and validity of a Mobile Patient Health Questionnaire-9 (MPHQ-9) for ecological momentary assessment in depressed adultsDawson Haddox, Daniel M Mackin, Tess Z Griffin, et al.
Behaviour Research and Therapy|February 18, 2026
Interindividual differences in digital phenotypes of major depressive disorder: A passive sensing study using smartphone and wearable sensor dataElizabeth W Lampe, Amanda C Collins, Ahhyun Lee, et al.
Addictive Behaviors|January 29, 2026
Passive data do not improve prediction or detection of alcohol consumption beyond temporal patterns in major depression: A 90-day cross-validated studyAnna M Langener, Dawson Haddox, Daniel M Mackin, et al.
Pageof 6