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Depression and time perspectives in patients with brain tumors: Novel measurements in the Circle Test

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Background Tumors trigger both depression and anxiety about death because they can be terminal. However, the relationship between depression and time perspective in patients with life-threatening diseases remains unclear. In this study, we examined the effects of depression on time perspective in patients with brain tumors using a projective method, i.e., the Circle Test. Methods Participants (40 depressed patients, Dp; 35 non-depressed patients, NDp; and 40 healthy non-depressed controls, NDc) were administered the Circle Test of time perspectives and self-rating depression scales before and after surgery. The Circle Test data were analyzed using traditional indices, i.e., time dominance and relatedness, and novel measurements, i.e., time area and proportion. Results Although the traditional indices showed no differences, the results for the novel measurements differed among the Dp, NDp, and NDc groups. The overall time perspective was smaller in the Dp group than in the NDc group; furthermore, the proportions of the future and past perspectives were higher and lower, respectively, in the Dp group compared to the NDp group. Limitations Patients with brain tumors and depressed controls could not be compared, because no healthy control was depressed. Differences in depression-related changes in time perspective between patients with brain tumors and healthy controls should be examined in future studies. Conclusions Depressed patients with brain tumors may experience changes in time perspectives according to the results for our novel measurements, and this might play an important role in treatment adherence.
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Depression and time perspectives in patients with brain tumors:
Novel measurements in the Circle Test
Yayoi Shigemune , Shoko Saito , Kentaro Hiromitsu ,
Kanako Hamamoto , Ryuta Ochi , Nobusada Shinoura ,
Ryoji Yamada , Akira Midorikawa
PII: S2666-9153(21)00011-1
DOI: https://doi.org/10.1016/j.jadr.2021.100084
Reference: JADR 100084
To appear in: Journal of Affective Disorders Reports
Received date: 26 December 2020
Revised date: 9 January 2021
Accepted date: 11 January 2021
Please cite this article as: Yayoi Shigemune , Shoko Saito , Kentaro Hiromitsu ,
Kanako Hamamoto , Ryuta Ochi , Nobusada Shinoura , Ryoji Yamada , Akira Midorikawa , De-
pression and time perspectives in patients with brain tumors: Novel measurements in the Circle Test,
Journal of Affective Disorders Reports (2021), doi: https://doi.org/10.1016/j.jadr.2021.100084
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1
Highlights
The circles drawn by participants could be indicative of their time perspectives.
The novel Circle Test measurement results differed among groups.
Depressed patients with brain tumors may experience changes in time perspective.
Changes in the time perspective may be related to treatment adherence.
2
Depression and time perspectives in patients with brain tumors:
Novel measurements in the Circle Test
Yayoi Shigemune1,2, Shoko Saito2, 3, Kentaro Hiromitsu2,3,
Kanako Hamamoto3, Ryuta Ochi3, Nobusada Shinoura4,
Ryoji Yamada4, and Akira Midorikawa1,2,3
1Research and Development Initiative, Chuo University, Tokyo, Japan
2Institute of Cultural Science, Chuo University, Tokyo, Japan
3Department of Psychology, Graduate School of Letters, Chuo University, Tokyo, Japan.
4Department of Neurosurgery, Tokyo Metropolitan Cancer and Infectious Diseases Center
Komagome Hospital, Tokyo, Japan
Address correspondence to Yayoi Shigemune at
742-1 Higashinakano, Hachioji-shi, Tokyo 192-0393 Japan.
E-mail: gemune@gmail.com
Tel/Fax: +81-426-74-3742
3
Abstract
Background: Tumors trigger both depression and anxiety about death because they can be
terminal. However, the relationship between depression and time perspective in patients with
life-threatening diseases remains unclear. In this study, we examined the effects of depression
on time perspective in patients with brain tumors using a projective method, i.e., the Circle Test.
Methods: Participants (40 depressed patients, Dp; 35 non-depressed patients, NDp; and 40
healthy non-depressed controls, NDc) were administered the Circle Test of time perspectives
and self-rating depression scales before and after surgery. The Circle Test data were analyzed
using traditional indices, i.e., time dominance and relatedness, and novel measurements, i.e.,
time area and proportion.
Results: Although the traditional indices showed no differences, the results for the novel
measurements differed among the Dp, NDp, and NDc groups. The overall time perspective was
smaller in the Dp group than in the NDc group; furthermore, the proportions of the future and
past perspectives were higher and lower, respectively, in the Dp group compared to the NDp
group.
Limitations: Patients with brain tumors and depressed controls could not be compared, because
no healthy control was depressed. Differences in depression-related changes in time perspective
between patients with brain tumors and healthy controls should be examined in future studies.
Conclusions: Depressed patients with brain tumors may experience changes in time
perspectives according to the results for our novel measurements, and this might play an
important role in treatment adherence.
4
Keywords
Brain tumor, Cancer, Circle test, Depression, Time perspective
1. Introduction
Depression has a negative effect on patients’ welfare and health outcomes. Previous studies
have suggested that depression has a negative influence on treatment adherence (Gonzalez et al.,
2011; Grenard et al., 2011) and that the mortality rate of depressed patients, including those
with tumors, is higher than that of non-depressed patients (Freedland et al., 2016; Polsky et al.,
2005; Satin et al., 2009). Such findings are particularly relevant when seeking to manage
patients with cancer because such patients are confronted with life-threatening illnesses and
fears about death (“death anxiety”) (Sharpe et al., 2018). The rate of depression is high in
patients with tumors, including brain tumors (Fann et al., 2008; Huang et al., 2017; Massie,
2004). Previous studies found that patients who felt that their lives were threatened were less
likely to consider the future (Chao et al., 2009; Lahav et al., 2011). Time perspectives are
defined as the subjective view of the temporal extents of the past, present, and future (Frank,
1939; Lewin, 1942). Future time perspective was decreased in depressed patients (Foulks and
Webb, 1970) and was associated with treatment adherence in patients with head and neck
cancer (Baldensperger et al., 2018). Therefore, the relationship between depression and time
perspective, especially future time perspective, is of great importance in patients with
potentially cancerous tumors that constitute life crises. However, the issue may be much more
complicated in patients with brain tumors because brain damage itself causes depression (e.g.,
5
post-stroke depression) (Villa et al., 2018) and may change one’s time perspective (Fellows and
Farah, 2005). When considering associations between depression and time perspectives in
patients with brain tumors, the affected brain regions should be considered. We investigated
whether time perspectives were affected by depression in patients with brain tumors after we
confirmed that these patients were indeed more depressed than healthy controls. In addition, we
explored whether the associations between depression and time perspectives according to the
brain region affected.
Time perspectives can be measured in several ways. However, such measurements
may be particularly complex in patients living with cancer diagnoses and facing the existential
distress associated with possible early death. To avoid awareness of possible early death by the
patients, we used the Circle Test, a projective method in which participants express their past,
present, and future time perspectives by arranging and sizing three circles representing the past,
present, and future (Cottle, 1967). In the Circle Test, two indices, namely time dominance and
time relatedness, have traditionally been used. Time dominance refers to the relative sizes of the
circles, and time relatedness relates to whether circles are separate, in contact with one another,
or overlapping. Recent progress in computer technology has made it possible to measure the
area of the circles, which was difficulty when the Circle Test was first proposed (Cottle, 1967).
Therefore, in this study, we analyzed the areas and proportions of the circles, in addition to
calculating the traditional indices.
2. Methods
6
2.1. Participants
One hundred and nine patients (mean age: 60.4 years; range: 2185 years; 59 men and 50
women) who were scheduled to undergo awake craniotomy for brain and spinal cord tumors
from 2016 to 2019 at Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome
Hospital, participated in this study. Inclusion criteria included a diagnosis of brain and neck
tumor, an age of 20 years or older, and sufficient language ability to complete a cognitive
screening test, the Cognistat, including orientation to time and place, attention, language,
construction, memory, calculation, and reasoning (Kiernan et al., 1987; Matsuda and Nakatani,
2009). Patients who lacked data because of withdrawing consent or who were unable to
participate because of deteriorating health were excluded from data analyses. Patients who had
tumors in multiple regions and regions for which there were fewer than five patients (e.g.,
fornix, occipital cortex, spinal cord, and ventricle) were also excluded from data analyses.
Therefore, the data from 75 patients who had brain tumors in the medial prefrontal cortex
(mPFC), lateral prefrontal cortex (lPFC), temporal lobe (TL), parietal lobe (PL), auditory nerve,
and cerebellum (mean age: 61.3 years; range: 2185 years; 38 men and 37 women) were
analyzed. The control data were obtained from 40 healthy participants (mean age: 58.4 years;
range: 3077 years; 18 men and 22 women) recruited from a job placement center for elderly
people and a volunteer center in the local community, with payment. The control participants
had no medical history of mental or neurological disease. To evaluate depression, we used the
self-rating depression scale (SDS) (Fukuda and Kobayashi, 1973; Zung, 1965) or the World
Health Organization-Five Well-being Index (WHO-5) (Inagaki et al., 2013; World Health
7
Organization, 1998). The SDS was replaced by the WHO-5 early in the study because some
patients appeared to become distressed when answering sensitive questions posed by the SDS.
A previous study that tested the reliability and validity of the Japanese version of the WHO-5
indicated that a cut-off score of <13 was appropriate for screening depression (Awata et al.,
2007). Patients and healthy controls who scored ≥40 on the SDS or <13 on the WHO-5 were
categorized as depressed based on the cutoff scores of the SDS and WHO-5. Both SDS and
WHO-5 showed sufficient validity in screening depression (Awata et al., 2007; Biggs et al.,
1978; Bonsignore et al., 2001; Jokelainen et al., 2019). The patients with a tumor comprised 40
depressed patients (Dp group) and 35 non-depressed patients (NDp group), and all healthy
controls were categorized into non-depressed controls (NDc group) because all scored >13 on
the WHO-5. All participants gave written informed consent under a protocol that was approved
by the Institutional Review Board of Tokyo Metropolitan Cancer and Infectious Diseases Center,
Komagome Hospital, and the Research Ethics Committee of the Institute of Cultural Science at
Chuo University.
(Table 1 near here)
2.2. Procedures
An examination battery that included the SDS (Fukuda and Kobayashi, 1973; Zung, 1965) or
the WHO-5 (Inagaki et al., 2013; World Health Organization, 1998), the Circle Test (Cottle,
1967), and the Cognistat (Kiernan et al., 1987; Matsuda and Nakatani, 2009) was administered
8
twice. The first session for the patients was conducted 35 days before the surgery and the
second session was conducted 418 days after the surgery. The healthy controls received the
same sessions at an interval of 13 weeks. In the Circle Test, the participants were asked to
imagine “past,” “present,” and “future” as circle shapes and were told to draw these circles on a
blank sheet of A4 paper in landscape mode in the manner that best represented their
relationships. The Cognistat was administered to explore whether the Dp, NDp, and NDc
groups differed in terms of general cognitive ability.
2.3. Data analyses.
Two traditional indices and two newly adopted measures were used to evaluate subjective time
perspectives on the Circle Test. The two indices were time dominance and time relatedness.
Time dominance was defined as the largest circle among the three circles representing past,
present, and future. Time relatedness consisted of three types: temporal atomicity, temporal
continuity, and temporal integration depending on the relationships between every two in each
circle (Cottle, 1967). Two independent circles scored 0 points, one circle touching another circle
scored 2 points, two overlapping circles scored 4 points, and one circle including another circle
scored 6 points. The time-relatedness category was defined based on the score: temporal
atomicity was 0 points, temporal continuity was 26 points, and temporal integration was 818
points. Temporal atomicity refers to the absence of area relatedness and corresponds to
atemporal interstitial areas lying between circumscribed areas. Temporal continuity is present
when areas are touching but not overlapping and depicts time as an ineluctable flow. Finally,
9
temporal integration refers to partial or totally overlapping areas and represents the past and
future as inherent in the present (Cottle, 1967). To investigate whether time dominance and time
relatedness could be modulated by depression, chi-square tests comparing the Dp, NDp, and
NDc groups were performed with the data of the first and second sessions. The two newly
adopted measures were the sizes of the circles reflecting the past, present, and future and the
proportion of the total area represented by each circle. The area of each circle was obtained with
ImageJ (National Institutes of Health, Bethesda, MD, USA; https://imagej.nih.gov/ij/). The
areas were analyzed via a three-way analysis of variance (ANOVA) with group (Dp, NDp, and
NDc) serving as a between-subjects factor, and time points (past, present, and future) and
sessions (first and second) serving as within-subject factors when investigating the effects of
depression on time perspectives. In addition, because the individual differences in each area
were large, the percentages of the past, present, and future circles relative to the sum of the three
circles were calculated as the proportions of each time perspective, and two-way ANOVAs of
the proportions by group (Dp, NDp, and NDc) were performed for the past, present, and future
circles. We assessed the validity of the newly adopted measures by determining whether future
time perspective was negatively correlated with age, as in previous studies (Brothers et al.,
2014; Kooij et al., 2014; Weiss et al., 2016). Thus, correlation analyses between age and the
area of each circle during the first session were performed in the Dp, NDp, and NDc groups. In
addition, to determine whether the area of each circle was affected by tumor location, a
three-way analysis of variance (ANOVA; region of tumor × time point × session) for area and
two-way ANOVA (region of tumor × session) for proportion were performed. IBM SPSS
10
Statistics ver. 22 was used for all analyses (IBM, USA). P-values were corrected using the
Bonferroni procedure for multiple comparisons.
3. Results
3.1. Prevalence of depression
A chi-square test revealed a significant difference in the rate of depression between the patients
and healthy controls (χ2 = 32.7, p < 0.01, V = 0.53). However, a further chi-square test revealed
no significant difference in brain tumor locations between the Dp and NDp groups (χ2 = 3.30, p
= 0.65, V = 0.21). The demographic data of the Dp, NDp, and NDc groups are shown in Table 1.
No significant difference was observed among the Dp, NDp, and NDc groups in age (F(2, 112)
= 0.82, p = 0.44, ηp2 = 0.01), Cognistat score (F(2, 112) = 2.72, p = 0.07, ηp2 = 0.05), or sex (χ2
= 0.35, p = 0.84, V = 0.06).
3.2. Time dominance and time relatedness
The time-dominance and time-relatedness results of the Circle Test are shown in Table 2. No
significant differences in time dominance or time relatedness were observed among the groups
(Dp, NDp, and NDc) according to the first session (time dominance: χ2 = 3.64, p = 0.46, V =
0.13; time relatedness: χ2 = 7.53, p = 0.11, V = 0.18) or second session (time dominance: χ2 =
8.45, p = 0.08, V = 0.19; time relatedness: χ2 = 6.19, p = 0.19, V = 0.16).
(Table 2 near here)
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3.3. Area comparison between groups and sessions
In the analysis of area, a three-way ANOVA with group (Dp, NDp, and NDc), time point (past,
present, and future), and session (first session and second session) as factors showed significant
main effects of group (F(2,112) = 3.79, p < 0.05, ηp2 = 0.06), time point (F(2,111) = 5.75, p <
0.01, ηp2 = 0.09), and session (F(1,112) = 4.09, p < 0.05, ηp2 = 0.04) (Figure 1). Post hoc
analyses indicated that the total area of the Dp group was significantly smaller than that of the
NDc group (p < 0.05), the area of the past was significantly smaller than those of the present
and future (versus present: p < 0.01; versus future: p < 0.05), and the area of the first session
was significantly smaller than that of the second session (p < 0.05). The interactions were not
significant (p > 0.1 for all comparisons).
(Figure 1 near here)
3.4. Proportions of areas by groups and sessions
A two-way ANOVA with group and session as factors showed a significant main effect of group
on the proportions of the past and future perspectives (past: F(2,112) = 4.23, p < 0.05, ηp2 =
0.07; future: F(2,112) = 3.45, p < 0.05, ηp2 = 0.06) but no significant effect on the present
(F(2,112) = 0.17, p = 0.85, ηp2 = 0.00) (Figure 2). Post hoc analyses revealed that the proportion
of the past was greater in the Dp group than in the NDp group (p < 0.05) and that the proportion
of the future perspective was smaller in the Dp group than in the NDp (p < 0.05) group. No
12
other main effects or interactions were significant in the past, present, or future perspectives (p
> 0.1 for all comparisons).
(Figure 2 near here)
3.5. Correlations between area and age
Correlation analyses between the area of the future circle and age revealed significant negative
correlations in the NDc (r = −0.39, p < 0.05) and NDp groups (r = −0.37, p < 0.05), and a
marginally significant correlation in the Dp group (r = −0.29, p = 0.07). The correlation
between the area of the present circle and age was also significant in the NDc group (r = −0.33,
p < 0.05). No significant correlation was detected between the area of the past circle (Dp: r =
0.07, p = 0.67; NDp: r = 0.11, p = 0.53; NDc: r = −0.15, p = 0.37) or present circle and age (Dp:
r = -0.10, p = 0.52; NDp: r = 0.02, p = 0.91).
3.6. Areas and proportions: Comparison among regions
In a three-way ANOVA of area with location (mPFC, lPFC, TL, PL, auditory nerve, cerebellum,
and NDC), time point (past, present and future), and session as factors, there were no significant
main effects or interactions (p > 0.1 for all comparisons). In two-way ANOVAs of the
proportions of the three time perspectives with region and session as factors, there was a
significant main effect of region (F(6,108) = 2.41, p < 0.05, ηp2 = 0.12) in the proportion of the
past time perspective (post hoc: PL > lPFC, p < 0.05) but there were no other main effects or
13
interactions for past, present, or future perspective (p > 0.1 for all comparisons).
Discussion
Prior to investigating whether time perspective was affected by depression in patients with brain
tumors, we explored whether patients with brain tumors were more depressed than healthy
controls. We confirmed that patients with brain tumors were more depressed than controls
(Table 1), as previously observed in patients with other tumors (Fann et al., 2008; Massie, 2004),
and in those with brain tumors (Huang et al., 2017). No control subject was depressed (0%,
0/40), but the incidence of depression was high among the patients with brain tumors (53%,
40/75).
To investigate the relationship between depression and time perspective, we used novel
measures, namely the areas and proportions of circles, in addition to the traditional indices of
the Circle Test (time dominance and time relatedness). There were two notable findings. First,
the traditional indices of time dominance and time relatedness did not differ among the groups
(Dp, NDp, and NDc) (Table 2). Second, in terms of the novel indices of the Circle Test, the
areas of the Dp group were smaller than those of the NDc group (Figure 1). Furthermore, the
proportion of the past perspective was larger in the Dp group than in the NDp group, while the
proportion of the future perspective was smaller (Figure 2).
With respect to time dominance in the Circle Test, a previous study on advanced
cancer patients receiving palliative care found that the present perspective was dominant,
whereas the future perspective was dominant in cancer patients in remission (van Laarhoven et
14
al., 2011). With regard to time relatedness, it has been suggested that participants who exhibit
higher time-relatedness scores have a greater degree of self-actualization (Getsinger, 1975).
These studies suggested that time dominance may be affected by personal circumstances, and
that time relatedness may reflect the subjective internal state. However, in the current study,
there was no group difference in time dominance or time relatedness. Therefore, it seems
unlikely that the traditional measures, i.e., time dominance and time relatedness, are affected by
cancer-induced depression.
Regarding the novel indices used in this study, a significant negative correlation was
evident between age and future perspective in the NDp and NDc groups, while in the Dp group,
a trend was evident, similar to previous studies showing that the likelihood of future time
perspective decreased with age (Brothers et al., 2014; Kooij et al., 2014; Weiss et al., 2016).
These findings suggest that the novel indices are valid. Furthermore, we found significant
differences in the areas and proportions of the circles between the Dp group and NDp and NDc
groups. The areas of the past, present, and future were smaller in the Dp group than in the NDc
group. Furthermore, the relative of the past perspective was larger in the Dp group than in the
NDp group, and the proportion of the future perspective was smaller in the Dp group than in the
NDp group. In the literature, a focus on the past has been associated with distress in cancer
patients (van Laarhoven et al., 2011), while a predominantly present time perspective has been
related to impulsive pleasure-seeking (Chavarria et al., 2015; Rothspan and Read, 1996;
Sekścińska et al., 2018; Zimbardo et al., 1997). Therefore, it is possible that changes in the past
and present time perspectives are associated with distress or loss of pleasure in depressed
15
patients. On the other hand, the likelihood of future time perspective has been shown to be
lower in depressed patients relative to healthy controls (Foulks and Webb, 1970), and to
decrease with increased depression severity in patients cured of cancer, and in those receiving
palliative care (van Laarhoven et al., 2011). The future time perspective is especially important
in terms of patient activities in the clinical setting. For example, in healthy individuals, the
future time perspective has been shown to be related to wellbeing and morale (Hoppmann et al.,
2017; Kozik et al., 2015), as seen in patients with brain and neck cancer, and with adherence to
treatment (Baldensperger et al., 2018). Furthermore, one meta-analysis suggested that a future
time perspective was positively associated with life satisfaction and health-improving behaviors,
and negatively associated with anxiety and depression (Kooij et al., 2018). Therefore, the future
time perspective is an important indicator of subjective patient condition; treatment of
depression in patients with brain tumors may increase wellbeing and treatment adherence by
increasing the likelihood of the future time perspective.
In addition, we examined whether time perspective differed according to the brain
region affected by the tumor; this was not found to be the case. However, in previous studies,
PFC damage reduced the likelihood of the future time perspective and impaired prospective
memory (Cockburn, 1995; Fellows and Farah, 2005). Moreover, the volume and extent of
activation of specific brain regions were associated with time perspective (Chen et al., 2018;
Guo et al., 2017; Liu and Feng, 2019; Zhou et al., 2018). There are two possible explanations
for this discrepancy. First, the effects of organic damage may be masked by the effects of
psychological factors, such as depression. Second, the small number of patients with brain
16
tumors in each region made it difficult to analyze differences by region in our study. Thus,
further analyses are required. However, our main purpose was to investigate the effect of
depression caused by a brain tumor on time perspective. As the effect of tumor region was
controlled for between patient groups, the effects of depression could be identified despite the
fact that various brain regions were affected by tumors.
5. Limitations
Two limitations of the present study warrant attention. First, we could not compare
data between patients with brain tumors and depressed controls, because no healthy control was
depressed. Therefore, we could not determine whether the decline in time perspective was due
to cancer-related depression or was an artifact of depression itself. Differences in
depression-related changes in time perspective between patients with brain tumors and healthy
controls should be examined in future studies. However, because a previous study suggested
that the future time perspective was related to treatment adherence in patients with brain tumors
(Baldensperger et al., 2018), our findings that the time perspectives differed between depressed
tumor patients and non-depressed patients, but not between non-depressed patients and healthy
controls, are important. Second, as we discussed above, no significant differences were found
between the NDc and other groups of the brain tumor locations. This effect awaits confirmation
in future studies.
17
6. Conclusion
The novel measurements used in our projective psychological assessment revealed that
depressed patients with brain tumors may experience changes in time perspectives, particularly
the future perspective. Previous studies of patients with brain and neck cancers have suggested
that the future time perspective is related to adherence to treatment and the size of a patient’s
social network (Baldensperger et al., 2018). Thus, treating depression may be important in
patients with brain tumors.
Author Contributions
Y.S. and A.M. conceived of the idea and designed the experiment; Y.S., S.S., K.H., K.H., and
R.O. carried out the experiment; N.S. and R.Y. recruited patients and reviewed the medical
record of patients. Y.S. analyzed data and wrote the manuscript in consultation with A.M. All
authors discussed the results and contributed to the final manuscript.
Funding
This study was supported by JSPS KAKENHI grants nos. 26119528, 16H01517, and
18H03663 to A.M.
Open practices statement
The data are available from the corresponding author upon reasonable request. The data are not
publicly available due to informed consent restrictions pertaining to the release of confidential
18
patient information. None of the experiments were preregistered.
Acknowledgment
None.
Conflict of interest statement
None of authors has any potential conflicts of interest.
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Table 1. Demographic data
Depressed
patients (Dp)
Non-depressed
controls
(NDc)
(n = 40)
(n = 40)
Age
n.s.
Mean (SD)
62.4 (15.0)
58.4 (12.5)
Range
2185
3077
Sex (Male: Female)
20:20
18:22
n.s.
SDS (N)
8
0
Mean (SD)
46.5 (3.1)
WHO-5 score (N)
32
40
Mean (SD)
7.4 (3.5)
18.8 (3.0)
Cognistat
n.s.
Mean (SD)
92.3 (8.9)
96.7 (7.2)
Region (N)
n.s.
lPFC
7
mPFC
8
TL
7
PL
7
Auditory nerve
4
Cerebellum
7
Type (N)
n.s.
Glioma
2
Astrocytoma
3
Oligodendroglioma
3
Glioblastoma
6
Meningioma
9
Schwannoma
5
Chordoma
1
Hemangioblastoma
0
Metastasis
8
Radiation necrosis
1
Other
2
Grade (N)
n.s.
I
15
II
6
III
1
IX
7
(NA)
3
(Metastasis)
8
26
SD = standard deviation, SDS = self-rating depression scale, WHO-5 = World Health
Organization-Five Well-being Index, lPFC = lateral prefrontal cortex, mPFC = medial
prefrontal cortex, TL = temporal lobe, PL = parietal lobe, NA = not available, n.s. = not
significant, † = ANOVA, ‡ = chi-square test
Table 2. Results of the Circle Test
Depressed
patients (Dp)
Non-depressed
patients
(NDp )
Non-depressed
controls (NDc)
Time dominance (N)
First session
n.s.
Past
11
5
10
Present
19
15
16
Future
10
15
14
Second session
n.s.
Past
17
5
12
Present
12
11
11
Future
11
19
17
Time relatedness (N)
First session
n.s.
Atomicity
23
26
18
Continuity
6
2
5
Integration
11
7
17
Second session
n.s.
Atomicity
26
22
16
Continuity
3
3
6
Integration
11
10
18
Area (cm2)
*
First session
Past
28.3 (26.3)
22.5 (16.7)
30.3 (32.5)
Present
32.2 (35.8)
34.5 (31.5)
43.6 (33.2)
Future
27.6 (32.1)
40.4 (39.9)
44.4 (43.9)
Second session
Past
32.2 (37.5)
24.0 (16.3)
34.9 (28.9)
Present
34.4 (28.6)
35.8 (34.6)
50.2 (43.6)
Future
27.5 (30.1)
42.3 (31.7)
56.8 (61.8)
Proportion (%)
Past
*
First session
35.4 (20.4)
26.0 (18.3)
27.3 (19.0)
Second session
38.5 (22.0)
26.3 (15.7)
29.3 (17.6)
Present
n.s.
27
First session
36.7 (20.0)
35.8 (18.9)
37.6 (18.1)
Second session
33.7 (13.7)
34.2 (15.6)
35.9 (14.0)
Future
*
First session
28.0 (20.0)
38.1 (24.0)
35.2 (20.4)
Second session
27.7 (18.0)
39.6 (20.3)
34.9 (19.1)
SD = standard deviation, * = p < 0.05, + = p < 0.1, n.s. = not significant, † = ANOVA, ‡ =
chi-square test
28
Figure legends
Figure 1. Areas of past, present, and future circles of depressed patients (Dp), non-depressed
patients (NDp), and non-depressed controls (NDc). Error bars represent standard deviations. *P
< 0.05.
Figure 2. Proportions of past, present, and future circles in depressed patients (Dp),
non-depressed patients (NDp), and non-depressed controls (NDc). Error bars represent standard
deviations. *P < 0.05.
... It measures the relatedness and balance between the sense of past, present, and future via a projective instrument. Although the tool has been rarely used in clinical samples over the past decades, it was recently applied in research on patients with cancer (Van Laarhoven et al., 2011) and with brain tumor (Shigemune et al., 2021). To date, however, it has not been administered to patients with psychiatric conditions. ...
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Depression, the most frequent psychiatric disorder following ischaemic stroke, negatively affects survivals' functional outcome, response to rehabilitation and quality of life. Approximately, one-third of them are affected by post-stroke depression (PSD), making it a serious social and public health problem and anti-depressant preventive and curative therapies worth investigating. However, a two-way association between depression and stroke has been also established: stroke increases the risk of PSD, but depression is an independent risk factor for stroke. The pathophysiology of PSD is presumably multifactorial, involving a combination of various ischaemia-induced neurobiological dysfunctions in the context of psychosocial distress. The damage of frontal-basal ganglia brainstem pathway suggested alterations of monoaminergic neurotransmitter systems. Several lines of evidence point to a relationship between neuroinflammatory response to acute ischaemic stroke, stress activation of the hypothalamic-pituitary-adrenal (HPA) axis and the impairment of adaptative response (neurogenesis) within a background of altered energy metabolism (i.e. mitochondrial dysfunction). The complexity of PSD mechanisms makes its biologically-based prevention and treatment a difficult task. So far, especially the selective serotonin (5-hydroxytriptamine, 5-HT) reuptake inhibitors (SSRIs) have mainly proved to be clinically active in preventing and treating PSD, although their effects have not been demonstrated unequivocally and they may cause bleeding and intracerebral haemorrhage. Besides the primary pharmacological activity of SSRIs (i.e. the inhibition of neuronal 5-HT reuptake) there is evidence supporting their pleiotropic mechanisms of action: anti-inflammatory and enhanced neurogenesis through the up-regulation of neurotrophins, conceivably supported by the stimulation of mitochondrial energy metabolism. In the future, novel developments might point at anti-cytokine modulators which can improve symptoms of depression, especially in subjects affected by inflammation processes. This review will address the various areas of epidemiology, pathophysiology, preventive and therapeutic strategies for PSD. The activity of SSRIs in clinical trials, as well as their pharmacology, pharmacokinetics, safety and mechanisms of action, will be examined in detail. A final section will deal with the effect of depression as risk factor for stroke. The literature on PubMed from 1990 to 2017 was reviewed.
Article
Previous studies indicated that time perspective can affect many behaviors, such as decisions, risk taking, substance abuse and health behaviors. However, very little is known about the neural substrates of time perspective (TP). To address this question, we characterized different dimensions of TP (including the Past, Present, and Future TP) using standardized Zimbardo Time Perspective Inventory (ZTPI), and quantified the gray matter volume using voxel-based morphometry (VBM) method across two independent samples. Our whole-brain analysis (sample 1, N=150) revealed Past-Negative TP was positively correlated with the GMV of a cluster in LPFC whereas Past-Positive was negatively correlated with the GMV in OFC, and Future TP was negatively correlated with GMV in mPFC. Moreover, two present scales (Present-Hedonistic and Present-Fatalistic TPs) were positively correlated with the GMV of regions in MTG and precuneus, respectively. We further examined the reliability of these correlations between multidimensional TPs and neuroanatomical structures in another independent sample (sample 2, N=58). Results verified our findings that GMV in LPFC could predict Past-Negative TP while GMV in OFC could predict Past-Positive TP, and the GMV in MTG could predict Present-Hedonistic while the GMV in presuneus could predict Present-Fatalistic, as well as the GMV in mPFC could predict Future TP. Thus, our findings suggest that the existence of selective neural basis underlying TPs, and further provide the stable biomarkers for multidimensional TPs.