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European Journal of Psychiatry Mild motor signs in major depressive disorder: prevalence and clinical profile
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Vol. 40. Issue 1.
(January - March 2026)
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Mild motor signs in major depressive disorder: prevalence and clinical profile

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Antonina Lucaa,$,
Corresponding author
antonina.luca@unikore.it

Corresponding author at: Department of Medicine and Surgery, Kore University of Enna, Italy.
, Alessandro Serrettia,b, Stefano Barlatic,d, Lisa Busone, Valentina Meneselloe,f, Anna Magistralif, Rosana Carvalho Silvaf, Giulia Perusie, Gabriele Nibbiod, Stefano Bignottig, Giovanni Battista Turag, Raffaele Ferrib, Massimo Gennarellie,f, Antonio Vitac,d, Alessandra Minellie,f, PANDORA study group #
a Department of Medicine and surgery, Kore University of Enna, Italy
b Oasi Research Institute-IRCCS, Troina, Italy
c Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
d Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
e Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
f Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
g Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
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Tables (3)
Table 1. Demographic and clinical characteristics of the sample.
Tables
Table 2. Demographic and clinical characteristics of participants with and without motor signs.
Tables
Table 3. Depression characteristics of participants with and without motor signs: multivariate analysis.
Tables
Abstract
Background and objectives

Motor abnormalities are recognized features of major depressive disorder (MDD). However, subtle forms of motor dysfunction are still largely unexamined in adults with MDD. The aims of the present study were to: 1) assess the prevalence of mild motor signs (MMS) in adults with moderate to severe depression, and 2) evaluate whether patients with MMS exhibit specific depressive symptom profiles.

Methods

Two-hundred forty-four participants (172 (70.5 %) women, mean age 46.8 ± 14.5, mean education 12.5 ± 3.6 years) from the PANDORA trial were enrolled. All the participants were assessed using the Hamilton Depression Rating Scale (HAM-D). MMS were assessed using the UKU Side Effects Rating Scale.

Results

Out of the 244 participants, 34 (13.9 %) were MMS+: 20 (58.8 %) had myoclonus, 11 (32.3 %) hyperkinesia, 7 (20.6 %) rigidity, 6 (17.6 %) tremor, and 3 (8.8 %) hypokinesia. The percentage of patients reaching a 20 % improvement in the HAM-D total score was higher in the MMS- group than in the MMS+ (95.1 % vs. 75.0 %, respectively). MMS+ participants had higher HAM-D total score and sub-items exploring work and abilities, psychomotor retardation, agitation, and hypochondriasis. These associations between MMS and depression severity, as well as the specific symptomatology profile, were confirmed in the multivariate analysis, adjusted for age and sex.

Conclusions

Our findings suggest that MMS may reflect a distinct subgroup within MDD, potentially characterized by greater sensitivity to motor adverse effects and subtle differences in treatment response.

Keywords:
Mild motor signs
Side effects
Depression
Antidepressants
Full Text
Introduction

Major depressive disorder (MDD) affects >300 million people and accounts for a significant proportion of years lived with disability.1,2

Although depressed mood and “anhedonia” are the defining symptoms of MDD,3,4 motor abnormalities have been recognised as an integral part of the depressive phenotype since its initial description.5 Yet, symptoms such as psychomotor retardation and agitation are so frequent that remain among the cornerstones of current diagnostic criteria.4,6 However, subtler forms of motor dysfunction, including mild motor signs (MMS), are still largely unexamined in adults with MDD. MSS (i.e. tremor, myoclonus, bradykinesia, and rigidity) belong to the broader category of neurological soft signs. These minor abnormalities of gait, coordination, balance, muscle tone, and/or involuntary movements are not severe enough to constitute a neurological disorder, and are frequently reported in patients with schizophrenia.7–9

Data concerning MMS in patients with depression are less robust. However, previous studies reported a prevalence of MMS in up to 10 % of patients with MDD, regardless of exposure to antidepressants or antipsychotics.10 We previously assessed a large cohort of patients with treatment-resistant depression (TRD), belonging to the cross-sectional European multicenter Group for the Study of Resistant Depression (GSRD) and reported a prevalence of approximately 40 % of MMS, particularly tremor and rigidity. Interestingly, in that cohort, we found a strong association between several MMS (e.g., dystonia, rigidity, and hypokinesia) and lack of response to treatment, regardless of age or medication. This led us to hypothesise that patients with MMS may have a more severe and less responsive depression phenotype.11 However, given that over 60 % of participants in the previous study had TRD and were exposed not only to antidepressants, but also to benzodiazepines, mood stabilizers and occasionally to neuroleptics, this could have limited the generalizability of our findings.

On this ground, the aims of the present study were to: 1) assess the prevalence of MMS in adults with moderate to severe depression; 2) evaluate if patients with MMS presented a specific depressive symptomatology profile.

Material and methods

Participants were collected in the context of the PANDORA trial (www.clinicaltrials.gov. NCT04615234), a 12-week, double-blinded, observational prospective randomized controlled trial12 enrolling patients with MMD referring to psychiatric services to receive a new antidepressant due to current treatment failure or adverse effects. The inclusion criteria were: MDD diagnosed according to DSM-5 criteria; moderate to severe MDD (Hamilton Rating Scale for Depression HAM-D 17 score ≥14); age between 18 and 65. The exclusion criteria were: presence of cognitive impairment (Mini Mental State Examination, MMSE < 24); presence of neurological disorders; psychiatric comorbidity (i.e., psychosis, bipolar I and II disorders, schizophrenia spectrum and other psychotic disorders, obsessive-compulsive disorder, post-traumatic stress disorder); comorbidity with personality disorders (cluster A and/or B), pregnancy, and comorbidity with other severe medical illnesses. Demographic (e.g.., age, sex, education), clinical (e.g., depression onset, comorbid anxiety), and treatment data were recorded. Drugs prescribed to <10 participants were considered together as “other antidepressants”. Treatment dose fluoxetine equivalence was calculated.13

The Italian versions of the clinician version of the Structured Clinical Interview for DSM-5 disorders (SCID-5-CV) and the Structured Clinical Interview for personality disorders (SCID-5-PD) were used to confirm the diagnosis. Depression was assessed using the HAM-D. Moreover, to ensure that the association between MMS status and depressive severity was not influenced by motor-related items, we computed a modified HAM-D score by subtracting the Agitation and Psychomotor Retardation items from the total HAM-D score.

The presence of MMS was assessed with the UKU Side Effects Rating Scale, ,14 performed by trained raters at study initiation and at follow-up visits (after 4 weeks, 8 weeks and 12 weeks). Participants with at least one motor sign (i.e., tremor, bradykinesia, hyperkinesia, rigidity, and myoclonus) recorded at any study visit were considered MMS+. Participants without any symptoms of MMS at any study visit were considered MMS-.

Response was defined as a ≥ 50 % decrease in HAM-D score at week 12 compared with baseline. Remission was defined as a HAM-D score ≤7. In order to capture also mild symptom changes, also a ≥ 20 % reduction in the HAMD total score at 12 weeks was considered.

The study was approved by the Local Ethics Committees (CEIOC IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia N: 43/2018, and Ethics Committee of ASST Spedali Civili of Brescia N: NP 3347) and was performed in accordance with the principles of the Declaration of Helsinki. All patients signed a written informed consent to participate before being enrolled.

The PANDORA trial aimed at carrying out a clinical validation of a combinatorial pharmacogenomics test in patients with MDD. The present study is a secondary analysis exploring a specific symptomatology profile in patients with MDD and MMS.

Statistical analysis

T-tests and chi-square tests were used to compare continuous and categorical variables, respectively. Each item of the baseline HAM-D, as well as the total score, and the modified HAM-D, were considered for possible associations with MMS. Then, a multivariate analysis was performed, considering MMS as outcome variable, HAM-D items as independent variables (ordinal logistic regression), and age, sex and fluoxetine dose equivalent as potential a priori confounders.

In the PANDORA study,12 the enrolled patients were not drug-naïve at baseline, as they were already being treated with other antidepressants (which had been substituted due to failure or side effects). Therefore, a statistical analysis to assess the effect of individual molecules on motor signs was not performed, as the effect of the previously taken antidepressant on MMS could not be ruled out. Odds ratio (OR) and 95 % confidence intervals were also reported. Given the confirmatory nature of the study, an alpha level of 0.05 was used.15 Data were analyzed with STATA v.18 (StataCorp., 2023).

Results

Two-hundred forty-four participants (172 (70.5 %) women, mean age 46.8 ± 14.5, mean education 12.5 ± 3.6 years) were enrolled. All patients were treated with antidepressants in monotherapy; Duloxetine, Sertraline, and Venlafaxine were the most frequently prescribed (Table 1). Out of the 244 participants, 34 (13.9 %) were MMS+: 17 (6.9 %) were MMS+ at baseline and 17 (6.9 %) developed MMS during the follow-up visits. Out of the 34 participants MMS+, 20 (58.8 %) had myoclonus, 11 (32.3 %) hyperkinesia, 7 (20.6 %) rigidity, 6 (17.6 %) tremor, and 3 (8.8 %) hypokinesia.

Table 1.

Demographic and clinical characteristics of the sample.

Total sample (n=244)   
Age at first depressive episode  31.5 ± 14.7 
Time since first depressive episode, years  15.7 ± 13.7 
Participants with recurrent depression  200 (81.9) 
Comorbid anxiety  74 (30.3) 
Smoking  76 (31.1) 
Suicide attempt in the current depressive episode  26 (10.7) 
BMI  25.2 ± 5.4 
Current antidepressants   
Duloxetine  51 (20.9) 
Sertraline  46 (18.8) 
Venlafaxine  37 (15.2) 
Escitalopram  25 (10.2) 
Vortioxetine  17 (6.9) 
Paroxetine  17 (6.9) 
Fluoxetine  16 (6.6) 
Other antidepressants  35 (14.3) 
Fluoxetine dose equivalent  26.4 ± 11.5 
HAM-D total score (baseline)  17.8 ± 3.7 
HAM-D Depressed mood  2.6 ± 0.6 
HAM-D Fell of guilty  1.6 ± 0.7 
HAM-D Suicide  0.8 ± 0.9 
HAM-D Initial Insomnia  0.7±.07 
HAM-D Middle Insomnia  0.8 ± 0.7 
HAM-D Late Insomnia  0.7 ± 0.7 
HAM-D Work and activities  2.1 ± 1.1 
HAM-D Psychomotor retardation  0.8 ± 0.7 
HAM-D Agitation  0.4 ± 0.5 
HAM-D Psychic anxiety  2.1 ± 0.9 
HAM-D Somatic anxiety  1.5 ± 0.9 
HAM-D Gastrointestinal symptoms  0.5 ± 0.5 
HAM-D General somatic symptoms  0.8 ± 0.4 
HAM-D Genital symptoms  1.3 ± 0.8 
HAM-D Hypochondriasis  0.9 ± 0.9 
HAM-D Weight loss  0.2 ± 0.5 
HAM-D Insight  0.1 ± 0.2 
HAM-D improvement≥20% (obs=215)  198 (92.1) 
Response (obs=215)  140 (65.1) 
Remission (obs=215)  114 (53.0) 

Legend: data are expressed as number and percentage and mean and standard deviation. Abbreviation: HAM-D: Hamilton Rating Scale for Depression; obs=observations. It indicates the number of patients with available (non-missing) data for that variable.

No differences in terms of sex and age were found between MMS+ and MMS- (Table 2). No differences in terms of response or remission prevalence were found between the two groups. However, at week 12, the percentage of patients reaching a 20 % improvement at the HAM-D total score was higher in the MMS- (95.1 %) than in MMS+ (75.0 %). MMS+ participants had higher scores on the HAM-D total score and HAM-D sub-items exploring work and abilities, psychomotor retardation, agitation, and hypochondriasis. In the multivariate analysis, the association between MMS+ and HAM-D total score and each sub-item was confirmed after adjusting for age and sex (Table 3). Modified HAM-D scores, obtained by subtracting the Agitation and Psychomotor Retardation items, remained significantly higher in MMS+ than in MMS− participants (p < 0.001), indicating that the association between MMS and depressive severity was not solely driven by motor-related items.

Table 2.

Demographic and clinical characteristics of participants with and without motor signs.

Total of patients (n=244)  MMS- (n = 210)  MMS+ (n = 34)  p-value 
Sex, women  147 (70.0)  25 (73.5)  0.675 
Age, years  46.5 ± 14.7  48.7 ± 13.3  0.410 
Education, years  12.5 ± 3.7  12.4 ± 2.5  0.952 
Time since first depressive episode, years  15.8 ± 13.8  15.2 ± 13.2  0.827 
Participants with recurrent depression  171 (81.4)  29 (85.3)  0.587 
Comorbid anxiety  68 (32.4)  6 (17.6)  0.083 
Smoking  64 (30.5)  12 (35.3)  0.574 
Suicide attempt in the current depressive episode  23 (10.9)  3 (8.8)  0.709 
BMI  25.3 ± 5.5  24.1 ± 4.8  0.224 
Fluoxetine dose equivalent  26.7 ± 12.1  24.4 ± 6.2  0.265 
HAM-D total score (baseline)  17.4 ± 3.3  20.7 ± 4.6  <0.001 
HAM-D Depressed mood  2.6 ± 0.7  2.8 ± 0.5  0.111 
HAM-D Fell of guilty  1.6 ± 0.7  1.8 ± 0.6  0.102 
HAM-D Suicide  0.8 ± 0.9  0.7 ± 0.9  0.815 
HAM-D Initial Insomnia  0.7 ± 0.7  0.9 ± 0.8  0.189 
HAM-D Middle Insomnia  0.8 ± 0.7  0.9 ± 0.8  0.191 
HAM-D Late Insomnia  0.7 ± 0.7  0.9 ± 0.8  0.121 
HAM-D Work and activities  2.1 ± 1.1  2.5 ± 0.9  0.037 
HAM-D Psychomotor retardation  0.7 ± 0.7  1.3 ± 0.8  <0.001 
HAM-D Agitation  0.4 ± 0.5  0.7 ± 0.5  0.001 
HAM-D Psychic anxiety  2.0 ± 0.8  2.1 ± 0.8  0.851 
HAM-D Somatic anxiety  1.4 ± 0.9  1.7 ± 0.8  0.093 
HAM-D Gastrointestinal symptoms  0.5 ± 0.5  0.5 ± 0.5  0.876 
HAM-D General somatic symptoms  0.8 ± 0.4  0.8 ± 0.4  0.459 
HAM-D Genital symptoms  1.2 ± 0.8  1.4 ± 0.7  0.181 
HAM-D Hypochondriasis  0.8 ± 0.9  1.4 ± 1.0  0.003 
HAM-D Weight loss  1.2 ± 0.5  1.1 ± 0.4  0.395 
HAM-D Insight  0.1 ± 0.1  0.1 ± 0.3  0.320 
Modified HAM-D  16.3 ± 3.2  18.7 ± 4.1  <0.001 
HAM-D improvement ≥20% (obs=215)  174 (95.1)  24 (75.0)  <0.001 
Response (obs=215)  118 (65.5)  22 (68.7)  0.640 
Remission (obs=215)  99 (54.1)  15 (48.9)  0.450 

Legend: data are expressed as number and percentage and mean and standard deviation. Abbreviation: HAM-D= Hamilton Rating Scale for Depression; obs=observations. It indicates the number of patients with available (non-missing) data for that variable.

Table 3.

Depression characteristics of participants with and without motor signs: multivariate analysis.

Variables  OR  95 %CI  p-value 
HAM-D total score (baseline)  1.2  1.12–1.35  <0.001 
HAM-D Work and activities  1.5  1.02–2.12  0.038 
HAM-D Psychomotor retardation  2.9  1.76–4.83  <0.001 
HAM-D Agitation  2.7  1.44–4.93  0.002 
HAM-D Hypochondriasis  1.7  1.15–2.42  0.007 

Legend: data are expressed as number and percentage and mean and standard deviation. Abbreviation: HAM-D= Hamilton Rating Scale for Depression; obs= observations; OR= Odd ratio; CI= confidence intervals. All models were adjusted for age, sex, and fluoxetine dose equivalent; fluoxetine-equivalent dose was not significantly associated with MMS status.

Discussion

Within the PANDORA sample, MMS represent a hybrid construct that cannot be clearly disentangled as either ‘intrinsic’ motor manifestations of depression or purely treatment-emergent side effects. Nevertheless, they appear to identify a clinically relevant subgroup of patients characterized by greater depressive burden and only modest early symptomatic improvement. In the present study, MMS were present in >13 % of patients with MDD, with myoclonus, hyperkinesia, and rigidity being the most frequent. These findings are is in line with some previous studies conducted on small samples of patients with MDD.10,16 As expected, however, the prevalence of MMD in this study was lower than that reported in the GSRD cohort, which primarily included participants with more severe symptoms, including treatment-resistant depression.11

Notably, earlier studies found MMS more frequently in older male patients with more severe depression and cognitive impairment,11,16 supporting the existence of a specific depression phenotype in patients presenting motor signs.

On the contrary, the present study found no age differences between MMS+ and MMS- group. Indeed, although previous studies have linked MMS in depressed individuals to age-related changes in neurotransmitters and fronto-striatal circuits,17,18 it should be noted that the PANDORA study participants were under 65 years old and therefore probably less at risk of age-related MMS.

Although the presence of MMS was not significantly associated with treatment response or remission, a significantly larger proportion of MMS− patients showed at least a 20 % reduction in HAM-D scores (95.1 %) compared to those MMS+ (75.0 %). This pattern may indicate that depression in patients MMS+ may have a different clinical phenotype. Indeed, patients with MMS not only had more severe depression, as reflected by the total score on the HAM-D, but also had higher scores on some specific sub-items, including difficulties in work and abilities, psychomotor retardation and agitation. This finding is particularly interesting considering that the higher HAM-D total score observed in MMS+ patients were mainly due to the sub-items “agitation” and “psychomotor retardation”, which might not reflect more severe depression but rather be manifestations of MMS itself.

The difficulties experienced at work and in everyday activities are no less important. Previous epidemiological studies have reported that >70 % of individuals with depression continued working despite experiencing cognitive impairment associated with depression, such as indecisiveness, difficulty concentrating, and impaired problem solving.19–21

In this context, the presence of motor signs may further limit work functioning in individuals with depression.22 Subtle bradykinesia, tremor, or impaired fine-motor coordination could slow typing speed, hinder handwriting, and reduce overall psychomotor efficiency. Crucially, occupational functioning is a key determinant of quality of life, financial independence, and social integration; persistent under-performance or absenteeism can trigger a vicious cycle of job insecurity, self-stigma, and further mood deterioration. Recognizing and treating MMS may thus have direct economic and psychosocial benefits, helping individuals maintain productivity.23

The study has some limitations. First, participants were not drug-naive and it was not possible to define if MMS were a “non-mood” symptom of depression or an antidepressant side effect. Indeed, a high percentage of patients (17 out of 34 MMS+, 50 %) were already MMS+ at baseline, suggesting that in some cases these signs may pre-exist treatment. However, an alternative explanation is the existence of a subgroup of patients who are “biologically” more sensitive to motor adverse effects, a potentially relevant phenotype that warrants further investigation. Indeed, because all participants were already on antidepressant therapy at baseline—and had heterogeneous treatment histories prior to inclusion—the motor signs observed in this study cannot be causally attributed either to the underlying depressive disorder or to medication exposure. Consequently, distinguishing between intrinsic motor abnormalities and treatment-emergent side effects was not possible. Moreover, considering the small size of MMS+ participants (n = 34), to avoid generating potentially misleading subgroup findings, a sensitivity analysis was not conducted, limiting both interpretability and reliability of the results.

Moreover, the use of a 20 % reduction in HAMD total score as an indicator of minimal clinical improvement represents another limitation. Indeed, although this threshold was selected to capture modest yet meaningful changes in symptom severity, it deviates from the more conventional 25–50 % reduction typically used to define partial response. As such, the generalizability of our findings to studies adopting standard response criteria may be limited.

In addition, patients were classified as MMS+ if motor symptoms emerged at any visit between week 4 and week 12. Because some participants dropped out shortly after the onset of symptoms, it was not possible to reliably evaluate differences according to the exact week of appearance. For this reason, the occurrence of MMS was considered irrespective of timing, and our findings should be interpreted accordingly.

The use of a ≥ 20 % reduction in HAM-D total score as an indicator of minimal clinical improvement was chosen to capture subtle changes in symptom severity; however, it deviates from the more conventional 25–50 % thresholds typically adopted for partial or full response. As such, the comparability of our findings with studies using standard response criteria is limited.

Furthermore, a methodological limitation of our study is that mild motor signs were assessed using UKU motor items, a scale primarily developed to quantify psychotropic side-effects rather than intrinsic motor phenomena. Although UKU captures extrapyramidal features that align with the construct of mild motor signs, it does not represent a dedicated instrument for such phenomena.

Finally, item-by-item analyses were not corrected for multiple comparisons. This choice was made to preserve exploratory sensitivity; however, it increases the likelihood of Type I errors. Therefore, the item-level findings should be interpreted with caution.

However, the PANDORA study enrolled a relatively large cohort of adults with MDD. By excluding older adults, it reduced the potential confounding effect of age-related parkinsonism or dementia. Moreover, the diagnosis of MDD and comorbidities was confirmed with validated and structured clinical interviews, ensuring diagnostic accuracy and sample homogeneity.

In conclusion, our findings suggest that MMS, independently form age and short-term antidepressant outcome, could constitute a significant clinical dimension of MDD. Instead, MMS appears to indicate a subgroup with greater baseline severity, regardless from motor symptoms, and greater functional impairment in the workplace — a profile that may require specific therapeutic and rehabilitative strategies.24–27

Author s’ roles

1) Research project: A. Conception, B. Organization, C. Execution; 2) Statistical Analysis: A. Design, B. Execution, C. Review and Critique; 3) Manuscript: A. Writing of the first draft, B. Review and Critique.

AL: 1A, 2A, 2B, 2C, 3A; AS: 1A, 2C, 3B; SB: 1A, 1B, 1C, 3B; LS: 1C, 3B; VM: 1C, 3B; AM: 1C, 3B; RCS: 1C, 3B; GP: 1C, 3B; GN: 1C, 3B; SB: 1C, 3B; PANDORA study group: 1C, 3B; GBT: 1C, 3B; RF: 2C, 3B; MG: 1A, 1B, 1C, 3B; AV: 1C, 3B; AM: 1A, 1B, 1C, 3B

Ethical considerations

The study was approved by the Local Ethics Committees (CEIOC IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia N: 43/2018, and Ethics Committee of ASST Spedali Civili of Brescia N: NP 3347) and was performed in accordance with the principles of the Declaration of Helsinki. All patients signed a written informed consent to participate before being enrolled.

Conflict of interest

A Luca has served as speaker for PIAM, and Eli Lilly. S Barlati received advisory board, lecture, or consulting fees, outside the present work, from: Angelini, Janssen, Lundbeck, Otsuka, and Rovi. A Serretti has served as a consultant or speaker for Abbott, Abbvie, Angelini, AstraZeneca, Clinical Data, Boehringer, Bristol-Myers Squibb, Eli Lilly, GlaxoSmithKline, Innovapharma, Italfarmaco, Janssen, Lundbeck, Naurex, Pfizer, Polifarma, Sanofi, and Servier and Taliaz. The other authors reported no conflict of interest.

Funding

This study was funded by a grant provided by the Italian Ministry of Health (Ricerca Finalizzata RF-2016–02,361,697). Massimo Gennarelli and Alessandra Minelli were supported by the Italian Ministry of Health under Grant [Ricerca Corrente 2025]. The assistant research positions of Giulia Perusi and Lisa Buson are funded by ERA-PerMed PROMPT project [IT-MoH ERP-2020–23,671,059]. The Ph.D. student position of Valentina Menesello was partly funded by the PNRR – DM 117/2023 Grant.

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Andress: Contrada Santa Panasia sn, 94100, Enna, Italy

Members of PANDORA Study Group: Alessandra Minelli, Massimo Gennarelli, Valentina Menesello (Genetic Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli of Brescia; Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy); Beatrice Lana, Chiara Galbiati, Edoardo Giacopuzzi, Erika Vitali, Giulia Perusi, Lisa Buson, Monica Scaglia, Vincenzo Dattilo (Genetic Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli of Brescia); Antonio Vita, Stefano Barlati (Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy), Alessia Muscarella, Antonio Baglioni, Gabriele Nibbio, Irene Calzavara Pinton, Lorenzo Bertoni, Nicola Necchini, Stefano Paolini, Ughetta Bosco Umbertino (Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia); Anna Magistrali, Chiara Magri, Mattia Meattini, Rosana Carvalho Silva, Paolo Martini (Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy); Chiara Cobelli, Giovanni Battista Tura, Stefano Bignotti (Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy); Edoardo Spina (Clinical and Experimental Medicine, University of Messina, Messina, Italy)

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