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Diagnostic and Statistical Manual of Mental Disorders (DSM)

Diagnostic and Statistical Manual of Mental Disorders (DSM)

The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...

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Updated: May 6, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

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Published on: February 14, 2014

Metadata in Smartphone-Based Cognitive Assessments: Current State and Emerging Evidence in Psychiatric Disorders.

Ko Woon Kim^1,2,3, Andrew Jin Soo Byun^1,4, Juan Castillo¹

¹From Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (Drs. Kim, Byun, Castillo, and Torous).

Harvard Review of Psychiatry

|March 10, 2026

Summary

Smartphone cognitive assessments offer frequent, real-world monitoring of cognitive function. The generated metadata shows potential for early detection of cognitive changes in mental health disorders, aiding personalized monitoring.

Keywords:

cognition digital technology ecological momentary assessment smartphones

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Last Updated: May 6, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

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Published on: February 14, 2014

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Published on: July 24, 2019

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Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging

Published on: January 30, 2026

Area of Science:

Digital health
Cognitive neuroscience
Psychiatry

Background:

Smartphone-based cognitive assessments provide frequent, ecologically valid cognitive monitoring.
These tools capture detailed cognitive and behavioral patterns, including variability and practice effects.
The clinical utility of metadata from these assessments is not yet fully understood.

Purpose of the Study:

To review the current use of smartphone-derived cognitive metadata in cognitive and affective disorders.
To explore the link between metadata features and functional outcomes or symptom fluctuations.
To discuss methods for optimizing metadata analysis and application.

Main Methods:

Review of emerging evidence on smartphone-derived cognitive metadata.
Focus on conditions like schizophrenia, bipolar disorder, and depression.
Discussion of methodological considerations for test design, sampling, and analysis.

Main Results:

Emerging evidence links smartphone metadata to functional outcomes and symptom fluctuations in mental health disorders.
Metadata may reflect subtle cognitive changes over time.
Potential for sensitive detection of early cognitive decline.

Conclusions:

Smartphone-derived cognitive metadata holds promise for personalized mental health monitoring.
Metadata can serve as sensitive indicators of early cognitive change.
Further research can optimize analysis for targeted interventions.