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Related Experiment Video

Updated: Sep 9, 2025

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method

Published on: August 2, 2021

Predicting Cognitive Change During Treatment for Inpatient Depression: Secondary Analysis From a Randomized

Zoe A Odering¹, Jennifer Jordan^1,2, Cameron J Lacey³

¹Department of Psychological Medicine, University of Otago, Christchurch, New Zealand.

Acta Psychiatrica Scandinavica

|September 1, 2025

Summary

This summary is machine-generated.

Younger patients with poorer baseline cognitive function showed better cognitive recovery during depression treatment. This highlights key predictors for improving cognition in hospitalized individuals with major depression.

Keywords:

bipolar disorder clinical trial cognition cognitive remediation depression inpatient treatment predictors

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

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Last Updated: Sep 9, 2025

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

Neuroscience
Psychiatry
Cognitive Psychology

Background:

Cognitive impairment significantly affects individuals hospitalized with depression.
Identifying predictors of cognitive improvement can lead to more effective treatments.

Purpose of the Study:

To investigate baseline predictors of objective cognitive change in severely depressed inpatients.
To examine associations between baseline variables and cognitive improvement across treatment.

Main Methods:

A randomized controlled trial (RCT) compared Activation Therapy (AT) with treatment-as-usual (TAU) in depressed inpatients.
Cognitive functioning was assessed at baseline and 14 weeks.
Analyses of covariance examined predictors of cognitive change in executive functioning, memory, and psychomotor speed.

Main Results:

Poorer baseline cognitive functioning in specific domains predicted greater cognitive improvement.
Older age was associated with less cognitive improvement in multiple cognitive domains.
These findings were consistent in sensitivity analyses within the AT group.

Conclusions:

Baseline cognitive performance and age are significant predictors of cognitive change in depressed inpatients.
Cognition appears to recover better in younger individuals with poorer initial cognitive functioning.