Neural predictors and effects of cognitive behavioral therapy for depression: the role of emotional reactivity and regulation.


Journal

Psychological medicine
ISSN: 1469-8978
Titre abrégé: Psychol Med
Pays: England
ID NLM: 1254142

Informations de publication

Date de publication:
01 2020
Historique:
pubmed: 12 2 2019
medline: 1 12 2020
entrez: 12 2 2019
Statut: ppublish

Résumé

Cognitive behavioral therapy (CBT) is an effective treatment for many patients suffering from major depressive disorder (MDD), but predictors of treatment outcome are lacking, and little is known about its neural mechanisms. We recently identified longitudinal changes in neural correlates of conscious emotion regulation that scaled with clinical responses to CBT for MDD, using a negative autobiographical memory-based task. We now examine the neural correlates of emotional reactivity and emotion regulation during viewing of emotionally salient images as predictors of treatment outcome with CBT for MDD, and the relationship between longitudinal change in functional magnetic resonance imaging (fMRI) responses and clinical outcomes. Thirty-two participants with current MDD underwent baseline MRI scanning followed by 14 sessions of CBT. The fMRI task measured emotional reactivity and emotion regulation on separate trials using standardized images from the International Affective Pictures System. Twenty-one participants completed post-treatment scanning. Last observation carried forward was used to estimate clinical outcome for non-completers. Pre-treatment emotional reactivity Blood Oxygen Level-Dependent (BOLD) signal within hippocampus including CA1 predicted worse treatment outcome. In contrast, better treatment outcome was associated with increased down-regulation of BOLD activity during emotion regulation from time 1 to time 2 in precuneus, occipital cortex, and middle frontal gyrus. CBT may modulate the neural circuitry of emotion regulation. The neural correlates of emotional reactivity may be more strongly predictive of CBT outcome. The finding that treatment outcome was predicted by BOLD signal in CA1 may suggest overgeneralized memory as a negative prognostic factor in CBT outcome.

Sections du résumé

BACKGROUND
Cognitive behavioral therapy (CBT) is an effective treatment for many patients suffering from major depressive disorder (MDD), but predictors of treatment outcome are lacking, and little is known about its neural mechanisms. We recently identified longitudinal changes in neural correlates of conscious emotion regulation that scaled with clinical responses to CBT for MDD, using a negative autobiographical memory-based task.
METHODS
We now examine the neural correlates of emotional reactivity and emotion regulation during viewing of emotionally salient images as predictors of treatment outcome with CBT for MDD, and the relationship between longitudinal change in functional magnetic resonance imaging (fMRI) responses and clinical outcomes. Thirty-two participants with current MDD underwent baseline MRI scanning followed by 14 sessions of CBT. The fMRI task measured emotional reactivity and emotion regulation on separate trials using standardized images from the International Affective Pictures System. Twenty-one participants completed post-treatment scanning. Last observation carried forward was used to estimate clinical outcome for non-completers.
RESULTS
Pre-treatment emotional reactivity Blood Oxygen Level-Dependent (BOLD) signal within hippocampus including CA1 predicted worse treatment outcome. In contrast, better treatment outcome was associated with increased down-regulation of BOLD activity during emotion regulation from time 1 to time 2 in precuneus, occipital cortex, and middle frontal gyrus.
CONCLUSIONS
CBT may modulate the neural circuitry of emotion regulation. The neural correlates of emotional reactivity may be more strongly predictive of CBT outcome. The finding that treatment outcome was predicted by BOLD signal in CA1 may suggest overgeneralized memory as a negative prognostic factor in CBT outcome.

Identifiants

pubmed: 30739618
pii: S0033291718004154
doi: 10.1017/S0033291718004154
doi:

Substances chimiques

Oxygen S88TT14065

Types de publication

Comparative Study Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

146-160

Subventions

Organisme : NIMH NIH HHS
ID : K08 MH085061
Pays : United States

Auteurs

Harry Rubin-Falcone (H)

Department of Psychiatry, Columbia University, New York, NY, USA.
Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute and Columbia University, New York, NY, USA.

Jochen Weber (J)

Department of Psychology, Columbia University, New York, NY, USA.

Ronit Kishon (R)

Department of Psychiatry, Columbia University, New York, NY, USA.

Kevin Ochsner (K)

Department of Psychology, Columbia University, New York, NY, USA.

Lauren Delaparte (L)

Department of Psychology, Stony Brook University, Stony Brook, NY, USA.

Bruce Doré (B)

Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.

Sudha Raman (S)

Department of Psychiatry, Columbia University, New York, NY, USA.
Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute and Columbia University, New York, NY, USA.

Bryan T Denny (BT)

Department of Psychology, Rice University, Houston, TX, USA.

Maria A Oquendo (MA)

Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

J John Mann (JJ)

Department of Psychiatry, Columbia University, New York, NY, USA.
Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute and Columbia University, New York, NY, USA.

Jeffrey M Miller (JM)

Department of Psychiatry, Columbia University, New York, NY, USA.
Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute and Columbia University, New York, NY, USA.

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Classifications MeSH