Literature DB >> 16018981

Prefrontal and striatal activation during sequence learning in geriatric depression.

Howard J Aizenstein1, Meryl A Butters, Jennifer L Figurski, V Andrew Stenger, Charles F Reynolds, Cameron S Carter.   

Abstract

BACKGROUND: Frontostriatal dysfunction is a primary hypothesis for the neurocognitive changes of depression in late life. The aim of the present study was to test this hypothesis with the use of functional magnetic resonance imaging (fMRI) tasks that are known to engage the prefrontal and neostriatal cognitive circuits.
METHODS: Twenty-three elderly subjects (mean age, 69.9 years) participated: 11 subjects with a current major depressive episode and 12 nondepressed elderly control subjects. Subjects underwent fMRI while performing a concurrent implicit and explicit sequence learning task. Region of interest (ROI)-based analyses were conducted, focusing on the dorsal anterior cingulate cortex, the dorsolateral prefrontal cortex, and the neostriatum.
RESULTS: As expected, both the control and depressed subjects learned the sequence during both implicit and explicit conditions. During explicit learning, decreased prefrontal activation was found in the depressed subjects, along with increased striatal activation. The increased striatal activity in the depressed subjects was due to increased activity on the trials that violated the sequence. During implicit learning, no significant differences were found between the groups in the identified ROIs.
CONCLUSIONS: The increased striatal activation on trials that violated the sequence demonstrates a greater response to negative feedback for depressed compared with control subjects. Our observations of significant differences in both prefrontal and striatal regions in the depressed elderly subjects relative to elderly control subjects supports the frontostriatal dysfunction hypothesis of late-life depression.

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Year:  2005        PMID: 16018981     DOI: 10.1016/j.biopsych.2005.04.023

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  36 in total

1.  MRI signal hyperintensities and treatment remission of geriatric depression.

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Review 2.  MRI studies in late-life mood disorders.

Authors:  Carmen Andreescu; Howard Aizenstein
Journal:  Curr Top Behav Neurosci       Date:  2012

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

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Journal:  J Psychiatr Res       Date:  2015-09-09       Impact factor: 4.791

4.  Neuroanatomical correlates of personality in the elderly.

Authors:  Christopher I Wright; Eric Feczko; Bradford Dickerson; Danielle Williams
Journal:  Neuroimage       Date:  2007-01-16       Impact factor: 6.556

Review 5.  Current understanding of the neurobiology and longitudinal course of geriatric depression.

Authors:  Sara L Weisenbach; Anand Kumar
Journal:  Curr Psychiatry Rep       Date:  2014-09       Impact factor: 5.285

6.  Disrupted small world topology and modular organisation of functional networks in late-life depression with and without amnestic mild cognitive impairment.

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Journal:  J Neurol Neurosurg Psychiatry       Date:  2014-11-28       Impact factor: 10.154

7.  Intrinsic inter-network brain dysfunction correlates with symptom dimensions in late-life depression.

Authors:  Wenjun Li; Yang Wang; B Douglas Ward; Piero G Antuono; Shi-Jiang Li; Joseph S Goveas
Journal:  J Psychiatr Res       Date:  2016-12-12       Impact factor: 4.791

Review 8.  Depression and cognitive impairment in older adults.

Authors:  Sara L Weisenbach; Laurie A Boore; Helen C Kales
Journal:  Curr Psychiatry Rep       Date:  2012-08       Impact factor: 5.285

9.  Physical activity predicts microstructural integrity in memory-related networks in very old adults.

Authors:  Qu Tian; Kirk I Erickson; Eleanor M Simonsick; Howard J Aizenstein; Nancy W Glynn; Robert M Boudreau; Anne B Newman; Stephen B Kritchevsky; Kristine Yaffe; Tamara B Harris; Caterina Rosano
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2014-01-28       Impact factor: 6.053

10.  Neuropsychological and hypothalamic-pituitary-axis function in female patients with melancholic and non-melancholic depression.

Authors:  Ioannis Michopoulos; Iannis M Zervas; Chris Pantelis; Eleftheria Tsaltas; Vassiliki-Maria Papakosta; Fotini Boufidou; Chrissoula Nikolaou; Charalambos Papageorgiou; Costas R Soldatos; Lefteris Lykouras
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2008-06       Impact factor: 5.270

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