Skip to content
DraconiticResearch
Search Sources API
186,123 studies31 sourcesUpdated just now
Peer-reviewedCC BY 4.0Depression and Anxiety

Sensory Processing Profiles in Depression: Evidence of Dynamic Changes and Clinical Correlates Over 3 Months

Abstract

Background: Sensory processing difficulties are increasingly recognized in major depressive disorder (MDD), with patients often exhibiting heightened sensitivity, avoidance, and low registration. However, the temporal stability of these patterns-trait vs. state-remains unclear. Methods: In this longitudinal study, 45 adult inpatients with MDD were assessed using the Adolescent/Adult Sensory Profile (AASP) at admission and 3 months later; 34 completed both assessments. Clinical variables included depression (Hamilton Depression Rating Scale [HDRS-17]), anxiety (Hamilton Anxiety Rating Scale [HARS]), anhedonia (Snaith-Hamilton Pleasure Scale [SHAPS]), self-esteem (Rosenberg Self-Esteem Inventory [RSEI]), and psychomotor retardation (Clinical Outcomes in Routine Evaluation [CORE]). Nonparametric tests examined sensory changes and associations with clinical outcomes. Results: At follow-up, 61.8% of participants showed clinical improvement and 44.1% achieved remission. Significant decreases in low registration and sensory sensitivity, along with increased sensation seeking, indicated that sensory processing is dynamic and partially state-dependent. Sensory avoidance remained stable and was more pronounced in recurrent MDD. Patients with clinical improvement or remission had sensory profiles closer to normative ranges. Higher sensitivity and avoidance correlated with more severe depression, anxiety, and lower self-esteem, while greater sensation seeking was associated with better outcomes. Conclusions: Sensory processing profiles in MDD are state-dependent and linked to clinical changes. These findings support the relevance of sensory traits as potential clinical markers and therapeutic targets. Personalized interventions addressing sensory processing may contribute to improved treatment outcomes. Further longitudinal and multimodal research is needed to clarify their predictive value.

Related

  1. Neural Correlates of Beat Processing in Infancy and Their Association With Later Grammar Development: Evidence for the Atypical Rhythm Risk Hypothesis
    Eniko Ladanyi, Srishti Nayak, Catherine T. Bush +5
    PsyArXivPreprintCC BY 4.0Full textNeuroscienceOSF
  2. Distinct electrophysiological correlates of low- and high-level visual consciousness with minimized post-perceptual processing
    Annika Hense, Antje Peters, Torge Dellert +2
    iSciencePeer-reviewedCC BY 4.0Full textNeuroscienceCell PressCrossrefEurope PMC
  3. EEG correlates of auditory rise time processing: A systematic review
    Victoria Manasevich, Daria Kostanian, Anton Rogachev +1
    PLOS OnePeer-reviewedCC BY 4.0Full textNeurosciencePhysiologyPLOS
  4. Neural and cognitive correlates of adolescent anxiety: Widespread brain network alterations, increased control costs, and visuospatial processing deficits.
    Madhumitha Manjunath, Catherine Stamoulis
    Imaging neuroscience (Cambridge, Mass.)Peer-reviewedCC BYFull textNeuroscienceEurope PMCPMC
  5. Burnout- and Depression-Like Functional Collapse States — A Within-Person Biomarker Framework for Precision Psychiatry: State-Dependent Multisystem Regulation in High Processing Cost Phenotypes (HPCPh)
    Simone Hauck, Luciana Terra de Oliveira
    PsyArXivPreprintCC BY 4.0Full textNeurosciencePhysiologyOSF
BibTeX
@article{paquet2026sensory,
  title = {{Sensory Processing Profiles in Depression: Evidence of Dynamic Changes and Clinical Correlates Over 3 Months}},
  author = {Aude Paquet and Lucia Fiegl and Brigitte Plansont and Charlotte Bessaguet and Aude Gauthier and Benjamin Laplace},
  journal = {Depression and Anxiety},
  year = {2026},
  month = sep,
  doi = {10.1155/da/8238928},
  url = {https://unilim.hal.science/hal-05740876v1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Sensory Processing Profiles in Depression: Evidence of Dynamic Changes and Clinical Correlates Over 3 Months
AU  - Aude Paquet
AU  - Lucia Fiegl
AU  - Brigitte Plansont
AU  - Charlotte Bessaguet
AU  - Aude Gauthier
AU  - Benjamin Laplace
PY  - 2026
DA  - 2026/09/07
JO  - Depression and Anxiety
DO  - 10.1155/da/8238928
UR  - https://unilim.hal.science/hal-05740876v1
AB  - Background: Sensory processing difficulties are increasingly recognized in major depressive disorder (MDD), with patients often exhibiting heightened sensitivity, avoidance, and low registration. However, the temporal stability of these patterns-trait vs. state-remains unclear. Methods: In this longitudinal study, 45 adult inpatients with MDD were assessed using the Adolescent/Adult Sensory Profile (AASP) at admission and 3 months later; 34 completed both assessments. Clinical variables included depression (Hamilton Depression Rating Scale [HDRS-17]), anxiety (Hamilton Anxiety Rating Scale [HARS]), anhedonia (Snaith-Hamilton Pleasure Scale [SHAPS]), self-esteem (Rosenberg Self-Esteem Inventory [RSEI]), and psychomotor retardation (Clinical Outcomes in Routine Evaluation [CORE]). Nonparametric tests examined sensory changes and associations with clinical outcomes. Results: At follow-up, 61.8% of participants showed clinical improvement and 44.1% achieved remission. Significant decreases in low registration and sensory sensitivity, along with increased sensation seeking, indicated that sensory processing is dynamic and partially state-dependent. Sensory avoidance remained stable and was more pronounced in recurrent MDD. Patients with clinical improvement or remission had sensory profiles closer to normative ranges. Higher sensitivity and avoidance correlated with more severe depression, anxiety, and lower self-esteem, while greater sensation seeking was associated with better outcomes. Conclusions: Sensory processing profiles in MDD are state-dependent and linked to clinical changes. These findings support the relevance of sensory traits as potential clinical markers and therapeutic targets. Personalized interventions addressing sensory processing may contribute to improved treatment outcomes. Further longitudinal and multimodal research is needed to clarify their predictive value.
SN  - 1091-4269
SN  - 1520-6394
ER  -