Amygdala network dysfunction in late-life depression phenotypes: Relationships with symptom dimensions

Journal of Psychiatric Research

Volumn 70, Issue , 2015, Pages 121-129

  Li, Wenjun ^a   Ward, B Douglas ^a   Xie, Chunming ^a   Jones, Jennifer L ^a   Antuono, Piero G ^a   Li, Shi Jiang ^a   Goveas, Joseph S ^a  

^a MEDICAL COLLEGE OF WISCONSIN   (United States)

Author keywords

Amygdala; Depression; Depressive symptoms; Elderly; Functional connectivity; Late life; Mild cognitive impairment; MRI; Symptom dimensions

Indexed keywords

AMYGDALOID NUCLEUS; ANXIETY; ARTICLE; CEREBELLUM VERMIS; CLINICAL ARTICLE; CONTROLLED STUDY; DEFAULT MODE NETWORK; DISEASE SEVERITY; EXECUTIVE FUNCTION; FEMALE; FRONTOPARIETAL CORTEX; HUMAN; LATE LIFE DEPRESSION; MALE; MILD COGNITIVE IMPAIRMENT; NUCLEAR MAGNETIC RESONANCE IMAGING; OCCIPITAL CORTEX; PARIETAL CORTEX; PHENOTYPE; PRIORITY JOURNAL; RESTING STATE NETWORK; SYMPTOM; TEMPORAL CORTEX; VISUAL CORTEX; AGED; AGING; AMYGDALA; BRAIN MAPPING; DEPRESSIVE DISORDER; NERVE TRACT; NEUROPSYCHOLOGICAL TEST; ONSET AGE; PATHOPHYSIOLOGY; PHYSIOLOGY;

ANTIDEPRESSANT AGENT;

AGE OF ONSET; AGED; AGING; AMYGDALA; ANTIDEPRESSIVE AGENTS; BRAIN MAPPING; DEPRESSIVE DISORDER; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; NEURAL PATHWAYS; NEUROPSYCHOLOGICAL TESTS; PHENOTYPE;

EID: 84943373502     PISSN: 00223956     EISSN: 18791379     Source Type: Journal    
DOI: 10.1016/j.jpsychires.2015.09.002     Document Type: Article

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