OPTIMI: Early Prediction and Prevention of Depression

Institute for Response-Genetics, Departement of Psychiatry (KPPP)

Psychiatric Hospital, University of Zurich


GSELECT — Selects grouped cases, repeated assessments, conditions

This program is used to define a subsample of cases for subsequent analyses. Cases are selected through the specification of study-numbers, group-numbers, proband-numbers, recording days, and experimental conditions. A sequence of CSELECT-calls accumulates cases, so that any problem-specific subsample of cases can be assembled by a sequence of single steps. An existing subsample of cases is deleted by means of the parameter RSET.

            Specificationlist:     GSELECT
            I4 STUD                      0
            I4 GRUP                      0
            I4 PROB                      0<
            I4 ATAG                      1  Default-value
            I4 STAT                      0  Default-value
            I4 VERS                      0  Default-value
            I4 SEX                       0  Default-value
            I4 AMIN                      0  Default-value
            I4 AMAX                      0  Default-value
            I4 PROT                      0  Default-value
            I4 RSET                      1  Default-value
            I4 MODE              Undefined
            A8 POPU              Undefined
            R4 PROZ                15.0000  Default-value
            01 STUD Selects studies
            02 GRUP Selects groups
            03 PROB Selects probands
            04 ATAG Selects recording day
            05 STAT Selects experimental condition
            06 VERS Selects version of recording
            07 SEX  Selects gender of probands
            08 AMIN Specifies age interval: minimum age
            09 AMAX Specifies age interval: maximum age
            10 PROT Controls output to display/printer
            11 RSET Controls concatenation of cases
            12 MODE Selects grouping criterion (recording days or conditions)
            13 POPU Label that distinguishes between populations
            14 PROZ Specifies the percentage of permissable missing data
            15 DEMO Examples that illustrate program function
            - STUD = s: Study number
                   = 0: all studies
            - GRUP = g: Group number
                   = 0: all groups
            - PROB = p1(/p2/p3/..  ) probands p1,p2,..
                   = -/a/-b: proband number range a-b
                   = 0: all probands
            - ATAG = a: Recording day
                   = 0: all recording days            (invalid if MODE=2)
            - STAT = f: Experimental condition
                   = 0: all experimental conditions   (invalid if MODE=1)
            - VERS = v: Version of recording
            - SEX  = 1: Males only
                   = 2: Females only
                   = 0: males and females
            - AMIN = a: Age interval: minimum age
            - AMAX = e: Age interval: maximum age
                   = 0: all ages
            - PROT = 0: No print output
                     1: Report of all selected probands
            - RSET = 0: Add cases to list
                   = 1: Begin new list
            - MODE = 0: Fixed "ATAG" and fixed "STAT"
                   = 1: Repeated assessments     (parameter "ATAG" is ignored)
                   = 2: Experimental conditions  (parameter "STAT" is ignored)
            - POPU:     Label to be given to this group of probands (8 char)
            - PROZ = p: Permissible percentage of missing data per variable
            - DEMO: Stability of speech parameters over time


            &&START GSELECT=Normative speech study zurich: ages 20-25 (study 600)
            &&START GSELECT=Normative speech study zurich: ages 30-35 (study 600)
            &&START CORR=Normative speech study zurich (study 600)
            &&START GSELECT=Normative speech study zurich: ages 20-25 (study 600)
            &&START GSELECT=Normative speech study zurich: ages 30-35 (study 600)
            &&START CORR=Normative speech study zurich (study 600)
Fig. 15: Energy measures the amount of energy used to produce the utterances of a given text ("loudness"). The variability of this energy ("dynamics") reflects speaker's dynamic expressiveness. These parameters allow for testing the hypothesis that "flat affect" is associated with a low average energy per second and an expressiveness much smaller than that of the norm. It is worth noting, however, that speaking behavior a complex issue that cannot be reliably described by just 2 parameters.

Everis, Spain
ETH, Switzerland
UZH, Switzerland
Freiburg, Germany
MA Systems, UK
Bristol, UK
Xiwrite, Italy
Ultrasis, UK
Jaume, Spain
Valencia, Spain
Lanzhou, China


EU-Grant (FP7):

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