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PreviousNext
Research ArticleResearch Article: New Research, Disorders of the Nervous System

Large Individual Differences in Functional Connectivity in the Context of Major Depression and Antidepressant Pharmacotherapy

Gwen van der Wijk, Mojdeh Zamyadi, Signe Bray, Stefanie Hassel, Stephen R. Arnott, Benicio N. Frey, Sidney H. Kennedy, Andrew D. Davis, Geoffrey B. Hall, Raymond W. Lam, Roumen Milev, Daniel J. Müller, Sagar Parikh, Claudio Soares, Glenda M. Macqueen, Stephen C. Strother and Andrea B. Protzner
eNeuro 3 June 2024, 11 (6) ENEURO.0286-23.2024; https://doi.org/10.1523/ENEURO.0286-23.2024
Gwen van der Wijk
1Department of Psychology, University of Calgary, Calgary, Alberta T2N 1N4, Canada
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Mojdeh Zamyadi
2Baycrest Health Sciences, Rotman Research Institute, Toronto, Ontario M6A 2E1, Canada
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Signe Bray
3Child and Adolescent Imaging Research Program, University of Calgary, Calgary, Alberta T2N 1N4, Canada
4Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada
5Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada
6Department of Radiology, University of Calgary, Calgary, Alberta T2N 1N4, Canada
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Stefanie Hassel
7Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 1N4, Canada
8Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta T2N 14, Canada
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Stephen R. Arnott
2Baycrest Health Sciences, Rotman Research Institute, Toronto, Ontario M6A 2E1, Canada
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Benicio N. Frey
9Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario L8S 4L8, Canada
10Mood Disorders Program and Women’s Health Concerns Clinic, St. Joseph’s Healthcare, Hamilton, Ontario L8N 4A6, Canada
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Sidney H. Kennedy
11Department of Psychiatry, University of Toronto, Toronto, Ontario M5S 1A1, Canada
12Institute of Medical Sciences, University of Toronto, Toronto, Ontario M5S 1A1, Canada
13Centre for Mental Health, University Health Network, Toronto, Ontario M5G 2C4, Canada
14Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, Ontario M5B 1W8, Canada
15Krembil Research Institute, Toronto Western Hospital, Toronto, Ontario M5T 2S8, Canada
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Andrew D. Davis
2Baycrest Health Sciences, Rotman Research Institute, Toronto, Ontario M6A 2E1, Canada
16Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario L8S 4L8, Canada
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Geoffrey B. Hall
16Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario L8S 4L8, Canada
17Imaging Research Centre, St. Joseph’s Healthcare Hamilton, Hamilton, Ontario L8N 4A6, Canada
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Raymond W. Lam
18Department of Psychiatry, University of British Columbia, Vancouver, British Columbia V6T 2A1, Canada
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Roumen Milev
19Department of Psychiatry and Psychology, and Providence Care Hospital, Queen’s University, Kingston, Ontario K7L 3N6, Canada
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Daniel J. Müller
11Department of Psychiatry, University of Toronto, Toronto, Ontario M5S 1A1, Canada
12Institute of Medical Sciences, University of Toronto, Toronto, Ontario M5S 1A1, Canada
20Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario M5T 1R8, Canada
21Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario M5S 1A1, Canada
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Sagar Parikh
22Department of Psychiatry, University of Michigan, Ann Arbor, Michigan 48109
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Claudio Soares
23Department of Psychiatry, Queen’s University, Providence Care, Kingston, Ontario K7L 3N6, Canada
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Glenda M. Macqueen
7Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 1N4, Canada
8Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta T2N 14, Canada
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Stephen C. Strother
2Baycrest Health Sciences, Rotman Research Institute, Toronto, Ontario M6A 2E1, Canada
24Department of Medical Biophysics, University of Toronto, Toronto, Ontario M5S 1A1, Canada
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Andrea B. Protzner
1Department of Psychology, University of Calgary, Calgary, Alberta T2N 1N4, Canada
5Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada
8Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta T2N 14, Canada
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  • Figure 1.
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    Figure 1.

    Overview of analysis procedure. The analysis for patients and controls is used as an example, but steps were the same for analyses with controls only and patients only. a, The fMRI data from resting state, affective go/no-go, and anhedonia (or monetary incentive delay) tasks were preprocessed using the OPPNI pipeline (Churchill et al., 2015, 2017), parcellated into 326 regions and concatenated for each participant and session. b, FC was calculated as the correlation between the time courses of each region pair, resulting in a region-by-region FC matrix. c, For the whole-brain analyses, the upper triangle (gray) of the FC matrix from each participant and session was correlated with that of every other participant and session to create a similarity matrix. d, For the region-specific analyses, a similarity matrix was constructed for each ROI by correlating each ROI's row in the correlation matrix with that of the same row of other participants and sessions. e, The contribution of each source of variance was estimated by calculating the average similarity over different configurations of the similarity matrix. From left to right, the presented patterns display the configuration for the calculation of the common effect (similar FC across all participants and sessions), the session effect (similar FC across participants within sessions), the sex effect (similar FC among female and among male participants), the MD effect (similar FC among patients with an MD diagnosis and among controls), the MD × session interaction (similar FC among patients and controls within sessions), the MD × sex interaction (similar FC among female patients, male patients, female controls, and male controls), and the individual effect (similar FC within individuals across sessions). f, From the average similarity for each effect, we calculated the normalized relative effect magnitude by first subtracting the baseline for each effect (indicated by the dashed red lines) and then dividing by the total relative similarity. For the region-specific analyses, we visualized the normalized relative effect magnitudes but did not perform statistical comparisons. g, For the whole-brain analyses, we also calculated the average similarity for each effect per individual by taking the average of the patterns for the three rows representing each participant. The example shows this for the MD effect. For each participant, indicated by different color outlines, we calculated the average similarity of that participant to all other participants and sessions within the same group (i.e., by taking the average across black squares within the three rows representing the three recording sessions of that participant). This way, we calculated each of the effects shown in part e of the figure at an individual level as well. These participant-specific average similarity values were then entered into dependent samples t tests to examine differences in effect magnitudes. Each capital letters (A–F) represent individuals and the lowercase letters (x–z) the different effects (i.e., Ax is the MD effect magnitude for participant 1, Az is the effect magnitude for a different effect for that same participant). FC, functional connectivity; ROI, region of interest; MD, major depressive disorder.

  • Figure 2.
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    Figure 2.

    Contributions of different sources of variance in FC in A, controls only, B, patients and controls, and C, patients only. a, Similarity matrix displaying the Fisher transformed correlations between the whole-brain FC of different participants and sessions. The matrices are organized by group (sex and MD diagnosis or response), individual, and session (baseline, Week 2, and Week 8) as illustrated in Figure 1. b, Average similarity for each effect. Figure 1e illustrates how each average was calculated. The red dashed lines indicate the baseline for each effect, which was subtracted to calculate the normalized relative effect magnitudes. c, Normalized relative effect magnitude for each effect.

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    Figure 3.

    Correlation between parcel-level connectivity calculated using split-half sampling of data for control participants, where half of the data (∼45 min) was compared with increasingly longer segments of data from the other half. Colored lines represent individual participants, while the black dotted line represents the average across participants.

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    Figure 4.

    Normalized relative effect magnitude in each region of the brain for each effect (common, MD, sex, MD × sex, and individual) in patients and controls. The MD, sex, and MD × sex effects are presented on a narrower color scale so the localization of these effects can be distinguished.

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    Figure 5.

    Normalized relative effect magnitude in each region of the brain for each effect (common, response, sex, response × sex, and individual) in patients only. The response, sex, and response × sex effects are presented on a narrower color scale so the localization of these effects can be distinguished.

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    Figure 6.

    Illustrations of the similarity matrix and matrix configurations used to calculate the averages for each effect in the exploratory analyses, taking the patients and controls sample as the example. a, Structure of the similarity matrix exemplified for eight participants. There is now a separate row for each participant, session, and task (instead of just for each participant and session in the main analyses). b, Matrix configuration for each of the effects that were also examined in the main analyses (Fig. 1e). The effects were calculated by averaging over the black squares in the matrix. From left to right and top to bottom, the patterns represent the common effect (similar FC across all participants and sessions), the session effect (similar FC across participants within sessions), the sex effect (similar FC among female and among male participants), the MD effect (similar FC among patients with an MD diagnosis and among controls), the MD × session interaction (similar FC among patients and controls within sessions), the MD × sex interaction (similar FC among female patients, male patients, female controls, and male controls), and the individual effect (similar FC within individuals across sessions). c, Matrix configurations of the effects only examined in the exploratory analyses. The individual × time interaction (similar FC within individual and session) is illustrated on the left, while the individual × task interaction (similar FC within individual and task) is illustrated on the right.

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    Figure 7.

    Contributions of different sources of variance in FC as examined in our exploratory analyses in A, controls only, B, patients and controls, and C, patients only. a, Similarity matrix displaying the Fisher transformed correlations between the whole-brain FC of different participants and sessions. The matrices are organized by group (sex and MD diagnosis or response), individual, task (resting state, affective go/no-go, and anhedonia), and session (baseline, Week 2, and Week 8) as illustrated in Figure 6. b, Average similarity for each effect. See Figure 6 for the pattern across which each average was calculated. The red dashed lines indicate the baseline for each effect, which were subtracted to calculate the normalized relative effect magnitudes. c, Normalized relative effect magnitude for each effect.

  • Figure 8.
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    Figure 8.

    Normalized relative effect magnitude in each region of the brain for selected effects from the exploratory analyses (common, individual, individual × task, and individual × session) in A, patients and controls and B, patients only.

Tables

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    Table 1.

    Demographic characteristics of female and male patients with MD and controls (mean ± SEM), and their statistical differences

    Patients with MD (N = 68)Controls (N = 39)Statistical difference
    Female (N = 42)Male (N = 26)Female (N = 21)Male (N = 18)
    Age (years)34.36 ± 1.81 (18–59)38.46 ± 2.46 (18–59)33.00 ± 2.59 (18–60)34.89 ± 3.02 (21–57)MD: F(1,103) = 1.00, p = 0.32; sex: F(1,103) = 1.48, p = 0.23; interaction: F(1,103) = 0.65, p = 0.65
    Education (years)17.00 ± 0.26 (14–20)17.38 ± 0.38 (14–20)18.71 ± 0.38 (14–22)18.22 ± 0.53 (13–22)MD: F(1,103) = 11.34, p = 0.001; sex: F(1,103) = 0.02, p = 0.89; interaction: F(1,103) = 1.34, p = 0.25
    Race/ethnicityaBlack (2); East Asian (4); Jewish (1); Latin American/Hispanic (2); South Asian (1); Southeast Asian (2); White (34); Other (2)Latin American/Hispanic (1); South Asian (2); Southeast Asian (1); White (22); Other (1)East Asian (5); South Asian (3); Southeast Asian (2); White (12)Latin American/Hispanic (1); South Asian (3); White (15)NA
    SiteCAM (4); MCU (7); QNS (2); UBC (20); UCA (9)MCU (6); QNS (5); TGH (1); UBC (7); UCA (7)CAM (2); MCU (3); QNS (6); TGH (2); UBC (4); UCA (4)CAM (3); MCU (3); QNS (1); TGH (1); UBC (2); UCA (8)NA
    HandednessLeft (2); right (38); ambidextrous (2)Left (5); right (21)Left (2); right (19)Left (5); right (10); ambidextrous (3)NA
    Current marital statusNever married (22); separated (1); married (9); divorced (4); domestic partnership (5); widowed (1)Never married (14); separated (2); married (7); divorced (2); domestic partnership (1)Never married (12); married (5); domestic partnership (4)Never married (11); married (5); divorced (1); domestic partnership (1)NA
    • MD, major depressive disorder; CAM, Centre for Addiction and Mental Health; MCU, McMaster University; UBC, University of British Columbia; TGH, Toronto General Hospital; QNS, Queen's University; UCA, University of Calgary, NA, not applicable.

    • ↵a Participants were asked which of the presented race/ethnicity categories they most closely identified with. Categories were based on Canadian census questionnaires (Statistics Canada, 2006).

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    Table 2.

    Clinical and demographic characteristics of female and male responders and nonresponders to antidepressant pharmacotherapy (mean ± SEM), and their statistical differences

    Responders (N = 33)Nonresponders (N = 35)Statistical difference
    Female (N = 19)Male (N = 14)Female (N = 23)Male (N = 12)
    MADRS at baseline28.16 ± 1.0028.93 ± 1.0730.39 ± 1.3230.00 ± 1.33Response: F(1,64) = 1.67, p = 0.20; sex: F(1,64) = 0.02, p = 0.88; interaction: F(1,64) = 0.21, p = 0.65
    MADRS at Week 218.11 ± 1.7318.57 ± 1.7324.48 ± 1.2723.50 ± 1.78Response: F(1,64) = 11.61, p = 0.001; sex: F(1,64) = 0.02, p = 0.88; interaction: F(1,64) = 0.19, p = 0.66
    MADRS at Week 88.21 ± 1.157.07 ± 1.4920.61 ± 1.0922.92 ± 1.35Response: F(1,64) = 119.95, p < 0.001; sex: F(1,64) = 0.21, p = 0.65; Interaction: F(1,64) = 1.79, p = 0.19
    Age (years)34 ± 2.49 (19–55)38.36 ± 3.44 (18–59)34.65 ± 2.63 (18–59)38.58 ± 3.68 (20–59)Response: F(1,64) = 0.02, p = 0.89; sex: F(1,64) = 1.84, p = 0.18; interaction: F(1,64) < 0.01, p = 0.94
    Education (years)17.21 ± 0.43 (14–20)17.29 ± 0.61 (14–20)16.83 ± 0.32 (14–19)17.50 ± 0.45 (16–20)Response: F(1,64) = 0.04, p = 0.85; sex: F(1,64) = 0.68, p = 0.41; interaction: F(1,64) = 0.43, p = 0.51
    Race/ethnicityaBlack (1); East Asian (3); South Asian (1); White (15); OtherLatin American/Hispanic (1); South Asian (1); White (12); Other (1)Black (1); East Asian (1); Jewish (1); Latin American/Hispanic (2); Southeast Asian (2); White (19); Other (1)South Asian (1); Southeast Asian (1); White (10)NA
    SiteCAM (2); MCU (2); UBC (9); UCA (6)MCU (3); QNS (3); TGH (1); UBC (4); UCA (3)CAM (2); MCU (5); QNS (2); UBC (11); UCA (3)MCU (3); QNS (2); UBC (3); UCA (4)NA
    HandednessLeft (2); right (16); ambidextrous (1)Left (3); right (11)Right (22); ambidextrous (1)Left (2); right (10)NA
    Current marital statusNever married (11); married (5); divorced (2); domestic partnership (1)Never married (8); separated (1); married (3); divorced (1); domestic partnership (1)Never married (11); separated (1); married (4); divorced (2); domestic partnership (4); widowed (1)Never married (6); separated (1); married (4); divorced (1)NA
    • MADRS, Montgomery–Åsberg Depression Rating Scale; MD, major depressive disorder; CAM, Centre for Addiction and Mental Health; MCU, McMaster University; UBC, University of British Columbia; TGH, Toronto General Hospital; QNS, Queen's University; UCA, University of Calgary, NA, not applicable.

    • ↵a Participants were asked which of the presented race/ethnicity categories they most closely identified with. Categories were based on Canadian census questionnaires (Statistics Canada, 2006).

    • View popup
    Table 3.

    Results of paired samples t tests to compare magnitude of effects in controls only, patients and controls, and patients only

    SampleComparisont-valueDFSDUncorrected p-valueCohen's d
    Controls onlyCommon > session9.32380.004<0.001*−1.49
    Common < sex−7.85380.006<0.001*1.26
    Session < sex−10.48380.008<0.001*1.68
    Sex < individual−15.27380.149<0.001*2.44
    Patients and controlsCommon < MD−6.521060.006<0.001*0.63
    Common > session6.721060.002<0.001*−0.65
    Common < sex−7.351060.006<0.001*0.71
    MD > session8.201060.007<0.001*−0.79
    MD = sex−0.621060.0090.5300.06
    Session < sex−8.691060.007<0.001*0.84
    MD > MD × session interaction11.891060.003<0.001*−1.15
    Sex < MD × sex interaction−7.441060.008<0.001*0.72
    MD × session interaction < MD × sex interaction−12.111060.009<0.001*1.17
    MD × sex interaction < individual−25.401060.145<0.001*2.46
    Patients onlyCommon < Response−3.95670.01<0.001*0.48
    Common > session9.72670.00<0.001*−1.18
    Common < sex−4.88670.01<0.001*0.59
    Response > session6.68670.01<0.001*−0.81
    Response = sex−1.41670.010.1790.17
    Session < sex−6.41670.01<0.001*0.78
    Response > response × session interaction13.09670.00<0.001*−1.59
    Sex < response × sex interaction−4.71670.02<0.001*0.57
    Response × session interaction < response × sex interaction−7.45670.02<0.001*0.90
    Response × sex interaction < individual−20.18670.14<0.001*2.45
    • ↵* Significant effects after FDR correction.

    • View popup
    Table 4.

    Results of paired samples t tests to compare magnitude of effects in our exploratory analyses in controls only, patients and controls, and patients only

    SampleComparisont-valueDFSDUncorrected p-valueCohen's d
    Controls onlyCommon > session6.75380.001<0.001*−1.08
    Common < sex−5.95380.006<0.001*0.95
    Session < sex−6.67380.006<0.001*1.07
    Sex < individual−16.66380.071<0.001*2.67
    Individual = Individual × session interaction0.02380.0330.980.00
    Individual < Individual × task interaction−12.46380.040<0.001*1.99
    Individual × session interaction < Individual × task interaction−7.22380.069<0.001*1.16
    Patients and controlsCommon < MD−5.541060.004<0.001*0.54
    Common = session0.011060.0010.990.00
    Common < sex−7.551060.004<0.001*0.73
    MD > session5.381060.004<0.001*−0.52
    MD = sex−1.801060.0060.0720.17
    Session < sex−7.241060.005<0.001*0.70
    MD > MD × session interaction4.161060.001<0.001*−0.40
    Sex < MD × sex interaction−6.581060.006<0.001*0.64
    MD × session interaction < MD × sex interaction−9.391060.006<0.001*0.91
    MD × sex interaction < individual−25.641060.076<0.001*2.48
    Individual = Individual × session interaction−2.011060.0370.0510.19
    Individual < Individual × task interaction−15.761060.050<0.001*1.52
    Individual × session interaction < Individual × task interaction−8.761060.082<0.001*0.85
    Patients onlyCommon < Response−6.04670.004<0.001*0.73
    Common = session0.64670.0010.53−0.08
    Common < sex−5.43670.006<0.001*0.66
    Response > session6.05670.004<0.001*−0.73
    Response = sex−1.90670.0070.0580.23
    Session < sex−5.28670.007<0.001*0.64
    Response > Response × session interaction3.73670.0010.002*−0.45
    Sex < Response × sex interaction−4.18670.0120.001*0.51
    Response × session interaction < Response × sex interaction−5.08670.014<0.001*0.62
    Response × sex interaction < individual−19.07670.079<0.001*2.31
    Individual < Individual × session interaction−2.43670.0380.016*0.29
    Individual < Individual × task interaction−11.12670.056<0.001*1.35
    Individual × session interaction < Individual × task interaction−5.92670.089<0.001*0.72
    • ↵* Significant effects after FDR correction.

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Large Individual Differences in Functional Connectivity in the Context of Major Depression and Antidepressant Pharmacotherapy
Gwen van der Wijk, Mojdeh Zamyadi, Signe Bray, Stefanie Hassel, Stephen R. Arnott, Benicio N. Frey, Sidney H. Kennedy, Andrew D. Davis, Geoffrey B. Hall, Raymond W. Lam, Roumen Milev, Daniel J. Müller, Sagar Parikh, Claudio Soares, Glenda M. Macqueen, Stephen C. Strother, Andrea B. Protzner
eNeuro 3 June 2024, 11 (6) ENEURO.0286-23.2024; DOI: 10.1523/ENEURO.0286-23.2024

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Large Individual Differences in Functional Connectivity in the Context of Major Depression and Antidepressant Pharmacotherapy
Gwen van der Wijk, Mojdeh Zamyadi, Signe Bray, Stefanie Hassel, Stephen R. Arnott, Benicio N. Frey, Sidney H. Kennedy, Andrew D. Davis, Geoffrey B. Hall, Raymond W. Lam, Roumen Milev, Daniel J. Müller, Sagar Parikh, Claudio Soares, Glenda M. Macqueen, Stephen C. Strother, Andrea B. Protzner
eNeuro 3 June 2024, 11 (6) ENEURO.0286-23.2024; DOI: 10.1523/ENEURO.0286-23.2024
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Keywords

  • fMRI
  • functional connectivity
  • individual differences
  • major depression
  • pharmacotherapy

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