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Crystal M Cooper

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Articles 25
Citations 354
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Recent Articles
1.
King F, Song Y, Fabbri L, Perry M, Papadelis C, Cooper C
Neuropsychologia . 2024 Nov; 207():109035. PMID: 39566881
Brain networks involved in emotional conflict processing have been extensively studied using functional magnetic resonance imaging in adults. Yet, the temporal correlates of these brain activations are still largely unknown,...
2.
King F, Perry M, Papadelis C, Cooper C
Epilepsy Behav . 2024 Jun; 157:109869. PMID: 38851125
People with epilepsy often suffer from comorbid psychiatric disorders, which negatively affects their quality of life. Emotion regulation is an important cognitive process that is impaired in individuals with psychiatric...
3.
Giles M, Cooper C, Jha M, Chin Fatt C, Pizzagalli D, Mayes T, et al.
Behav Sci (Basel) . 2023 Aug; 13(8). PMID: 37622759
The probabilistic reward task (PRT) has identified reward learning impairments in those with major depressive disorder (MDD), as well as anhedonia-specific reward learning impairments. However, attempts to validate the anhedonia-specific...
4.
Berl M, Koop J, Ailion A, Bearden D, Boyer K, Cooper C, et al.
Epilepsia . 2023 Mar; 64(6):1554-1567. PMID: 36897767
Objective: Improve data-driven research to inform clinical decision-making with pediatric epilepsy surgery patients by expanding the Pediatric Epilepsy Research Consortium Epilepsy Surgery (PERC-Surgery) Workgroup to include neuropsychological data. This article...
5.
Kaiser R, Chase H, Phillips M, Deckersbach T, Parsey R, Fava M, et al.
Biol Psychiatry . 2022 Jun; 92(7):533-542. PMID: 35680431
Background: Delivery of effective antidepressant treatment has been hampered by a lack of objective tools for predicting or monitoring treatment response. This study aimed to address this gap by testing...
6.
Trombello J, Cooper C, Chin Fatt C, Grannemann B, Carmody T, Jha M, et al.
J Psychiatr Res . 2022 Mar; 149:243-251. PMID: 35290819
Background: The brain circuitry of depression and anxiety/fear is well-established, involving regions such as the limbic system and prefrontal cortex. We expand prior literature by examining the extent to which...
7.
Chin Fatt C, Cooper C, Jha M, Minhajuddin A, Rush A, Trombello J, et al.
J Affect Disord . 2021 Jan; 282:602-610. PMID: 33445082
Objective: To identify data-driven subgroups in Major Depressive Disorder (MDD) in order to elucidate underlying neural correlates and determine if these subgroups have utility in predicting response to antidepressant versus...
8.
Ang Y, Bruder G, Keilp J, Rutherford A, Alschuler D, Pechtel P, et al.
Psychol Med . 2020 Nov; 52(13):2441-2449. PMID: 33213541
Background: Treatment for major depressive disorder (MDD) is imprecise and often involves trial-and-error to determine the most effective approach. To facilitate optimal treatment selection and inform timely adjustment, the current...
9.
Ang Y, Kaiser R, Deckersbach T, Almeida J, Phillips M, Chase H, et al.
Biol Psychiatry . 2020 Jun; 88(8):657-667. PMID: 32507389
Background: Standard guidelines recommend selective serotonin reuptake inhibitors as first-line antidepressants for adults with major depressive disorder, but success is limited and patients who fail to benefit are often switched...
10.
Medeiros G, Rush A, Jha M, Carmody T, Furman J, Czysz A, et al.
Depress Anxiety . 2020 Mar; 37(8):771-783. PMID: 32187776
Background: Heterogeneity in major depressive disorder (MDD) is well recognized but not well understood. Core depressive features are reward and emotional symptoms, which reflect dysfunctions in the positive valence (PV)...