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Neuropsychological impairment among manic, depressed, and mixed-episode inpatients with bipolar disorder

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Previous research has demonstrated broad neurobehavioral abnormalities in bipolar affective disorder (cf. G. Cassens, L. Wolfe, & M. Zola, 1990). However, there have been no comparisons of neuropsychological function across patients with manic, depressed, or mixed subtypes. In the present study, 37 manic, 24 mixed-episode, and 25 depressed bipolar I inpatients and 34 control subjects were administered a brief battery of neuropsychological tests. The multivariate and univariate effects of participant group on the neuropsychological measures were uniformly significant (p < .05). Planned contrasts revealed that the bipolar participants performed worse than the controls, and few differences existed between the 3 patient groups. Additionally, the bipolar groups were impaired on 50% of the test battery. These abnormalities were unlikely attributable to differences in psychiatric symptomatology, medical illness, comorbid psychiatric diagnoses, or medication status. Findings imply that acute mood disturbance during bipolar disorder yields significant neurobehavioral dysfunction.
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Neuropsychological Impairment Among Manic, Depressed, and
Mixed-Episode Inpatients With Bipolar Disorder
Michael R. Basso
University of Tulsa, University of Oklahoma–
Schusterman Health Sciences Center—Tulsa, and
Hillcrest Medical Center
Natasha Lowery
University of Tulsa
Jackie Neel
Oklahoma State University College of Osteopathic
Medicine and Hillcrest Medical Center
Rod Purdie
Hillcrest Medical Center
Robert A. Bornstein
The Ohio State University
Previous research has demonstrated broad neurobehavioral abnormalities in bipolar affective
disorder (cf. G. Cassens, L. Wolfe, & M. Zola, 1990). However, there have been no
comparisons of neuropsychological function across patients with manic, depressed, or mixed
subtypes. In the present study, 37 manic, 24 mixed-episode, and 25 depressed bipolar I
inpatients and 34 control subjects were administered a brief battery of neuropsychological
tests. The multivariate and univariate effects of participant group on the neuropsychological
measures were uniformly significant ( p.05). Planned contrasts revealed that the bipolar
participants performed worse than the controls, and few differences existed between the 3
patient groups. Additionally, the bipolar groups were impaired on 50% of the test battery.
These abnormalities were unlikely attributable to differences in psychiatric symptomatology,
medical illness, comorbid psychiatric diagnoses, or medication status. Findings imply
that acute mood disturbance during bipolar disorder yields significant neurobehavioral
dysfunction.
Previous research has demonstrated broad neuropsycho-
logical abnormalities in primary bipolar disorder (cf. Cas-
sens, Wolfe, & Zola, 1990). For instance, among acutely ill
patients, difficulties involving executive function, memory,
attention, speed of information processing, visual spatial
perception, and psychomotor speed have been observed
across several studies (Gourovitch et al., 1999; Hoff et al.,
1990; Martinez-Aran et al., 2000; McGrath, Scheldt, Wel-
ham, & Clair, 1997; Sax et al., 1999; Wolfe, Granholm,
Butters, Saunders, & Janowsky, 1987). These deficits may
be chronic, as similar patterns of dysfunction have been
found upon remission of acute mood episodes when patients
enter euthymic periods (Atre-Vaidya et al., 1998; Coffman,
Bornstein, Olson, Schwarzkopf, & Nasrallah, 1990; Deni-
coff et al., 1999; Ferrier, Stanton, Kelly, & Scott, 1999; van
Gorp, Altshuler, Theberge, & Mintz, 1999; van Gorp, Alt-
shuler, Theberge, Wilkins, & Dixon, 1998). Paralleling
these cognitive difficulties, research using imaging methods
has demonstrated structural and functional abnormalities
involving the frontal lobes, temporal lobes, basal ganglia,
hippocampus, amygdala, cerebellum, subcortical white mat-
ter, and cerebral ventricles among individuals with bipolar
disorder (Ali et al., 2000; Altshuler et al., 2000; Blumberg
et al., 1999; Coffman et al., 1990; Dupont et al., 1990; Figiel
et al., 1991; Hauser et al., 2000; McDonald et al., 1999;
Pearlson et al., 1997; Sax et al., 1999; Soares & Mann,
1997; Strakowski et al., 1999). Collectively, these findings
imply that neurobehavioral abnormalities are a stable char-
acteristic of the disorder.
This suggestion notwithstanding, some uncertainties re-
main. In particular, it is unclear whether cognitive and
cerebral dysfunction associated with bipolar disorder varies
according to mood state. Many previous investigations have
measured neuropsychological function among heteroge-
neous groups of bipolar patients but have not distinguished
between patients in a depressed, manic, or mixed episode.
Among studies of this type, bipolar patients displayed neu-
ropsychological performance that was significantly worse
Michael R. Basso, Department of Psychology, University of
Tulsa; University of Oklahoma–Schusterman Health Sciences
Center—Tulsa; and Hillcrest Medical Center, Tulsa, Oklahoma.
Natasha Lowery, Department of Psychology, University of Tulsa.
Jackie Neel, Department of Behavioral Health, Oklahoma State
University College of Osteopathic Medicine; and Hillcrest Medi-
cal Center. Rod Purdie, Hillcrest Medical Center. Robert A. Born-
stein, Departments of Psychiatry and Neurology, The Ohio State
University.
Portions of the data in this article were presented at the 28th
annual convention of the International Neuropsychological Soci-
ety, Denver, Colorado, February 2000. We gratefully acknowledge
the assistance of J. Carpenter regarding earlier versions of this article.
Correspondence concerning this article should be addressed to
Michael R. Basso, Department of Psychology, University of Tulsa,
600 South College Avenue, Tulsa, Oklahoma 74104. E-mail:
michael-basso@utulsa.edu
Neuropsychology Copyright 2002 by the American Psychological Association, Inc.
2002, Vol. 16, No. 1, 84–91 0894-4105/02/$5.00 DOI: 10.1037//0894-4105.16.1.84
84
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than controls (cf. Cassens et al., 1990; Gourovitch et al.,
1999; Martinez-Aran et al., 2000). Similarly, when hetero-
geneous groups of bipolar patients were examined with
imaging methods, abnormalities were commonly reported
(e.g., Dupont et al., 1990).
Some studies have attempted to examine neuropsycho-
logical effects of bipolar disorder in a more rened manner.
Rather than examining heterogeneous groups of bipolar
patients, such investigations have specically assessed neu-
ropsychological function among individuals in either manic
or mixed-mood episodes. In these studies, bipolar patients
displayed signicantly worse performance than control sub-
jects (cf. Cassens et al., 1990; Sax et al., 1999). Relatively
few studies have examined neuropsychological function
among depressed individuals with bipolar disorder. Wolfe
et al. (1987) compared patients with bipolar depression,
unipolar depression, or Huntington’s disease with a control
group. Individuals with bipolar depression performed sig-
nicantly worse than the unipolar depressives and control
group but equivalent to the patients with Huntington’s dis-
ease. Taken together, these ndings suggest that bipolar
disorder yields signicant neuropsychological dysfunction,
regardless of presenting mood symptoms. As yet, however,
there are, to our knowledge, no investigations that have
compared neuropsychological function of individuals with
bipolar disorder in manic, mixed, and depressed states.
Consequently, it is uncertain whether depression yields neu-
rocognitive dysfunction to the same degree as mania or
mixed features of mania and depression.
Accordingly, the present study examined neuropsycho-
logical function among groups of bipolar inpatients in a
manic, mixed, or depressed episode. These individuals were
further compared with a normal control group. On the basis
of prior research (e.g., Cassens et al., 1990), we expected
that bipolar individuals in a manic, depressed, or mixed
episode would display signicantly worse performance than
control subjects. However, in comparing bipolar patients in
distinct mood states, expectations were less certain. Despite
ndings to the contrary (e.g., Goldberg et al., 1993), some
data suggest that mania or mixed manic and depressed
features yield impairment consistent with schizophrenia (cf.
Hoff et al., 1990; McGrath et al., 1997). Thus, we an-
ticipated signicant impairment among the manic and
mixed-feature patients. Additionally, there is evidence that
depressed bipolar patients demonstrate impairment com-
mensurate with severe neurologic illness, such as Hun-
tington’s disease (cf. Wolfe et al., 1987). Together, these
ndings imply that bipolar disorder results in meaningful
neurobehavioral impairment, regardless of presenting symp-
toms. Consequently, we anticipated that impairment would
not differ signicantly across manic, depressed, and mixed-
feature bipolar patients but that the patient groups would
show worse performance than a control group.
Method
Participants
Data were collected retrospectively from the records of 86
inpatients with primary diagnoses of bipolar I disorder. These
patients were seen as part of a routine diagnostic evaluation
completed during a hospital admission. Diagnoses were made in
accordance with Diagnostic and Statistical Manual of Mental
Disorders (4th ed.; DSM–IV; American Psychiatric Association,
1994) criteria by a board-certied attending psychiatrist at a teach-
ing hospital. In this taxonomy, criteria for bipolar disorder with a
manic episode include symptoms of abnormally elevated or irri-
table mood, diminished sleep, excessive involvement in pleasur-
able or goal directed activities, and ight of ideas. Criteria for
bipolar disorder with a depressed episode include history of prior
manic episode, depressed mood, anhedonia, diminished appetite or
sleep, feelings of worthlessness, and diminished ability to concen-
trate and think. For a mixed episode of bipolar disorder, the
individual meets criteria for both manic and depressive episodes.
In arriving at a diagnosis, the psychiatrist considered presenting
symptoms, diagnostic interviews, and chart histories. Although
such a diagnostic strategy is not optimal for prospective research,
it is typically accepted as adequate for retrospective research.
Indeed, several studies have demonstrated that similar diagnostic
procedures are reliable and highly commensurate with research
diagnostic criteria (cf. Fennig, Craig, Tanenberg-Karant, & Bro-
met, 1994; Maziade et al., 1992; Warner & Peabody, 1995). As
determined through interviews and review of prior medical
records, these patients had no prior loss of consciousness or
neurologic disease. Data were also collected from 31 control
subjects who were recruited from the community through public
notices. All of these participants denied current or previous psy-
chiatric symptoms or diagnoses. In screening interviews, they
further denied prior loss of consciousness or history of neurologic
illness.
As determined by the attending psychiatrist, 37 patients were
manic, 25 were depressed, and 24 displayed mixed features of
mania and depression. Among the manic, depressed, and mixed
bipolar patients, 21, 8, and 15 displayed psychotic features, re-
spectively. A chi-square test revealed no signicant difference
between patient groups according to presence of psychotic fea-
tures,
2
(2, N161) 5.37, p.05. We further examined this
issue by subdividing patient groups according to presence of
psychotic features. We then analyzed performance on neuropsy-
chological test scores in a 4 (patient group: control, manic, de-
pressed, and mixed) 2 (psychotic features: present vs. absent)
multivariate general linear model. The main effect of patient group
was signicant, Hotelling’s T
2
(54, 266) 2.04, p.001, but the
main effect of psychotic features, Hotelling’s T
2
(18, 90) 1.74,
p.05, and the interaction of patient group and psychotic fea-
tures, Hotelling’s T
2
(36, 178) 1.28, p.05, were not. Thus, the
groups failed to differ as a function of psychotic features. Simi-
larly, there was no difference among the three patient groups and
control subjects according to ethnic composition,
2
(9, N
161) 14.80, p.05; prior educational difculties (history of
failed grades),
2
(3, N161) 3.08, p.05; or presence of
hypertension,
2
(3, N161) 4.41, p.05; diabetes,
2
(3, N
161) 2.92, p.05; or heart disease,
2
(6, N161) 5.02, p
.05. Furthermore, a chi-square test showed that groups did not
differ in gender composition,
2
(3, N161) 6.67, p.05.
According to one-way analyses of variance (ANOVAs), the groups
did not differ signicantly in age, F(3, 116) 0.17, p.05, or
years of education, F(3, 116) 2.06, p.05. Moreover, separate
one-way ANOVAs indicated that the patient groups did not differ
in number of comorbid psychiatric disorders, F(2, 80) 2.26, p
.05; chronicity of illness (as dened by years since age of rst
symptoms), F(2, 80) 0.62, p.05; or onset age of symptoms,
F(2, 80) 0.48, p.05. Further, the bipolar groups did not differ
with regard or prevalence of alcohol,
2
(4, N161) 4.72, p
85NEUROPSYCHOLOGICAL IMPAIRMENT IN BIPOLAR DISORDER
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.05, or drug abuse disorders,
2
(4, N161) 6.17, p.05.
Table 1 details gender, ethnicity, chronicity, onset age, age, and
education data for the participant groups. Table 2 denotes frequen-
cies of comorbid disorders.
At the time of examination, all but 8 of the patients were
receiving medication. Because medication may inuence cognitive
function, we examined whether the proportion of medicated pa-
tients differed signicantly between groups, and a chi-square test
revealed that they did not (p.05). Furthermore, benztropine
(Leon, Canuso, White, & Simpson, 1994) and chlorpromazine
equivalent dosages (Jeste & Wyatt, 1982) were calculated for each
patient. Anticholinergic and dopamine blocking ratings were also
computed as were daily sedation ratings (Arana & Hyman, 1991;
Bezchlibnyk-Butler & Jeffries, 1991). The analyses revealed that
groups did not differ regarding benztropine, F(2, 24) 0.09, p
.05; chlorpromazine, F(2, 27) 1.78, p.05; anticholinergic
blockade, F(2, 51) 0.68, p.05; dopamine blockade, F(2,
49) 0.38, p.05; and sedation, F(2, 69) 0.11, p.05
ratings. Thus, medication unlikely differed systematically across
patient groups.
Procedure
Patients were administered a brief battery of tests that have
demonstrated sensitivity to cerebral dysfunction. Given that prior
research has demonstrated that bipolar patients display decits in
verbal memory, executive function, speed of information process-
ing, and motor function, we devised a brief battery of tests that
assessed these respective areas. In particular, the battery included
the California Verbal Learning Test (CVLT; Delis, Kramer,
Kaplan, & Ober, 1987), the F-A-S Verbal Fluency Test (Benton,
Hamsher, Varney, & Spreen, 1983), Trail Making Tests A and B
(Reitan & Wolfson, 1993), and the Grooved Pegboard Test (Klove,
1963).
Additionally, to assess severity of psychiatric symptomatology,
the Minnesota Multiphasic Personality Inventory—2 (MMPI–2;
Butcher, Dahlstrom, Graham, Tellegen, & Kaemmer, 1989) was
administered. All tests were administered and scored according to
standardization instructions by trained and supervised technicians
in a medical center setting. To clarify the degree of impairment
demonstrated relative to the control group, an overall impairment
index was calculated. For each test score, if an individual per-
formed lower than one standard deviation from the mean of the
control group, the performance was considered impaired. This
criteria is frequently used in clinical practice (cf. Heaton, Grant, &
Matthews, 1991). Consequently, total number of impaired perfor-
mances on F-A-S Verbal Fluency, Trail Making Tests A and B,
Grooved Pegboard Test, and the total recall score from the CVLT
were summed for each individual. Regarding the CVLT, we opted
to include only the total recall score in the impairment index
Table 1
Demographic Characteristics of Participant Groups
Subject
group
Education
(years) Age
(years)
Ethnicity
Gender Chronicity
(years) Age of onset
(years)
M SD M SD Female Male MSDMSD
Manic 14.38 2.74 35.65 10.43 27 (73%) Caucasian 26 (70%) 11 (30%) 10.25 11.57 25.00 16.07
7 (19%) African American
3 (8%) Native American
Mixed 13.79 2.23 36.00 8.65 21 (88%) Caucasian 21 (88%) 3 (12%) 8.56 8.29 27.65 10.35
3 (12%) African American
Depressed 13.52 2.36 35.16 10.99 23 (92%) Caucasian 18 (72%) 7 (28%) 11.83 9.02 23.87 12.52
2 (8%) African American
Control 14.91 1.86 34.09 13.88 32 (94%) Caucasian 31 (91%) 3 (9%)
1 (3%) African American
1 (3%) Asian
Table 2
Comorbidities of Participant Groups
Subject
group
Comorbidities
Medical Substance use Psychiatric
Manic 3 (8%) with diabetes 6 (16%) with past alcohol use 5 (14%) with panic (without agoraphobia)
3 (8%) with hypothyroidism 2 (5%) with current alcohol use 1 (3%) with OCD
2 (5%) with hypertension 3 (8%) with past drug use 3 (8%) with borderline PD
1 (3%) with cardiac problems 2 (5%) with current drug use 1 (3%) with obsessive compulsive PD
1 (3%) with PTSD
Mixed 1 (4%) with diabetes 3 (13%) with past alcohol use 1 (4%) with OCD
4 (17%) with hypothyroidism 1 (4%) with current alcohol use 1 (4%) with borderline PD
1 (4%) with hypertension 7 (29%) with past drug use 1 (4%) with PTSD
1 (4%) with cardiac problems 1 (4%) with current drug use
Depressed 1 (4%) with diabetes 6 (24%) with past alcohol use 6 (24%) with panic (without agoraphobia)
1 (4%) with hypothyroidism 4 (16%) with current alcohol use 4 (16%) with borderline PD
3 (12%) with hypertension 5 (20%) with past drug use 1 (4%) with bulimia
2 (8%) with cardiac problems 3 (12%) with current drug use 1 (4%) with social phobia
Note. The control group included no individual with any medical, substance use, or psychiatric comorbidities. OCD obsessive
compulsive disorder; PD personality disorder; PTSD posttraumatic stress disorder.
86 BASSO, LOWERY, NEEL, PURDIE, AND BORNSTEIN
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because it is generally considered the most reliable index from the
test (Delis et al., 1987) and because including multiple indices
from the test would likely bias the impairment index to reect
memory decits primarily.
Results
Multivariate ANOVAS
Scores on all cognitive tests were entered into one-way
multivariate analyses of variance (MANOVAs). Participant
group served as the between-groups factor. The MANOVA
included 14 indices from the CVLT and scores from the
remaining neuropsychological tests. The main effect of par-
ticipant group was signicant, Hotelling’s T
2
(54, 275)
2.31, p.001, and, subsequently, univariate one-way
ANOVAs were computed. In response to signicant main
effects, Tukey least signicant difference (LSD) compari-
sons were computed. This was done to delineate the nature
of group differences in performance while simultaneously
correcting for potential Type I error.
Univariate ANOVAs
CVLT standard scores. Raw scores on the CVLT were
transformed into standard scores on the basis of conversion
tables located in the CVLT manual (Delis et al., 1987).
These deviation scores detail how far each performance
deviated from that of the CVLT normative sample and are
corrected for potential age and gender differences.
As shown in Table 3, the effect of participant group was
signicant for all CVLT indices, save the serial clustering
ratio. Tukey LSD comparisons showed that the three patient
groups generally displayed worse memory performance
than the control group on nearly all CVLT indices. Addi-
tionally, the manic group showed worse performance than
the mixed group on short-delay free recall and similarly
worse performance than the depressed group on long-delay
cued recall and the discrimination index.
In addition to using these standard scores regarding free
recall, cued recall, and recognition memory, we created a
percentage savings score to examine retention of informa-
tion across time. Specically, we computed a ratio score by
dividing the raw long-delay free recall by Trial 5 recall,
thereby indicating how much information was retained sub-
sequent to learning. We further followed the example set
forth in the CVLT manual and corrected for potential dif-
ferences according to age and gender with adjusted means
(cf. Stevens, 1986). These adjusted means were analyzed in
a one-way ANOVA, and a signicant difference between
groups was found. Tukey LSD contrasts showed that the
three patient groups retained less information than the con-
trol group, and there were no signicant differences among
the three bipolar groups.
F-A-S Verbal Fluency. F-A-S scores were corrected for
the effect of gender, age, and education as suggested in the
test manual (Benton et al., 1983). As shown in Table 4, the
effect of participant group was signicant. Tukey LSD
comparisons revealed that the patient groups generated
fewer words than the control group but that the patient
groups failed to differ from one another.
Trail Making Tests A and B. Time to complete two tests
was analyzed. As shown in Table 4, participant group
emerged as a signicant main effect on both tests. For both
Trail Making Tests, Tukey LSD comparisons demonstrated
that the three patient groups performed worse than the
control group, but there were no differences between the
manic, mixed-episode, and depressed bipolar patients.
Grooved Pegboard Test. Time to complete the test for
each hand was analyzed in separate one-way ANOVAs.
Table 4 shows that the main effect of participant group was
signicant for both hands. According to the Tukey LSD
Table 3
Mean California Verbal Learning Test (CVLT) Standard Scores
Measure F(3, 112)
Group
Contrasts
2
Manic Mixed Depressed Control
Total recall 18.95** 22.08 (15.06) 26.04 (15.36) 29.70 (15.56) 47.00 (12.65) abc d .04
Trial 1 6.45** 1.74 (1.24) 1.71 (1.12) 1.17 (0.98) 0.62 (1.28) ab d .05
Trial 5 19.90** 3.05 (1.91) 2.71 (1.85) 2.26 (1.83) 0.21 (1.01) abc d .03
Acquisition slope 5.22* 0.61 (0.21) 0.22 (0.32) 0.70 (0.32) 0.39 (0.25) abc d .01
Semantic cluster ratio 6.96** 0.69 (1.20) 0.54 (1.14) 0.43 (1.23) 0.32 (0.98) abc d .02
Serial cluster ratio 0.65 0.14 (0.88) 0.13 (0.85) 0.08 (0.95) 0.08 (0.87) .02
Recall consistency 12.08** 1.34 (1.25) 1.08 (1.50) 0.75 (1.42) 0.35 (0.81) abc d .03
Short-delay free recall 13.88** 2.63 (1.37) 1.83 (1.61) 1.87 (1.89) 0.38 (1.10) abc d; a b .06
Long-delay free recall 13.70** 2.69 (1.54) 2.33 (1.78) 2.09 (1.93) 0.41 (1.10) abc d .02
Short-delay cued recall 11.02** 2.11 (1.62) 2.08 (1.76) 1.39 (1.77) 0.21 (0.98) abc d .03
Long-delay cued recall 21.33** 3.08 (1.54) 2.50 (1.69) 1.96 (1.87) 0.29 (0.97) abc d; a c .07
Recognition hits 6.48** 2.03 (1.93) 1.46 (2.19) 1.78 (1.56) 0.29 (1.19) abc d .02
Discrimination index 9.14** 1.42 (1.50) 1.17 (1.30) 0.70 (1.01) 0.06 (0.34) abc d; a c .05
% savings 22.31** 83.39 (6.45) 85.30 (4.63) 83.44 (6.11) 92.25 (2.01) abc d .02
Note. Standard deviations appear in parentheses. Total score across trials is listed as a Tscore. Percentage savings reects age- and
gender-corrected ratio score. All remaining means reect average zscores, indicating relative deviation from performance of the CVLT
normative sample. Eta-square values reect effect size estimate for differences between patient groups, excluding the control group. Tukey
least signicant difference contrasts are as follows: a mania, b depression, c mixed, and d controls.
*p.01. ** p.001.
87NEUROPSYCHOLOGICAL IMPAIRMENT IN BIPOLAR DISORDER
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contrasts, the three bipolar groups displayed slower perfor-
mance than the control group bilaterally, but there were no
signicant distinctions within the participant groups.
Impairment index. Scores on the impairment index
were entered into a one-way ANOVA, and the effect of
participant group was signicant, F(3, 112) 16.70, p
.001. As detailed in Table 4, the manic, depressed, and
mixed-episode bipolar groups had more impaired scores
than the control group, and Tukey LSD comparisons re-
vealed that these differences were signicant (ps.001).
No other contrast was signicant. Notably, the three patient
groups averaged between three and four impaired scores out
of the six included in the impairment index.
Effect Size Analysis
It is notable that the patient groups generally displayed no
signicant differences among themselves across the battery
of tests. It may be argued that the absence of signicant
differences among the patient groups is attributable to in-
sufcient statistical power or too few research participants
(nota bene, cell sizes similar to those used in the present
study are generally adequate to detect meaningful effects in
behavioral research; Cohen, 1977). To address this issue, we
computed effect size estimates for the differences between
patient groups for each neuropsychological test, and these
appear in Tables 3 and 4. The largest eta-square value was
.07, and the mean estimate across the 18 test indices was .02
(SD .02). Such effect sizes are considered small.
Self-Report of Psychiatric Symptomatology
To evaluate whether symptom severity differed system-
atically between groups, scores on the MMPI–2 were com-
pared. To reduce the number of statistical tests, thereby
decreasing the likelihood of Type I error, scores on the eight
primary clinical scales were averaged. This overall mean
score was then entered into a one-way ANOVA, with pa-
tient group serving as the between-groups factor. Recent
research indicates that computing this mean score across the
clinical scales serves as the best summary indicator of
overall distress from the MMPI–2 (Graham, Barthlow,
Stein, Ben-Porath, & McNulty, in press). Mean Tscores on
this overall distress indicator appear in Table 5. The main
effect of participant group was not signicant, F(3,
105) 0.78, p.05. These ndings indicate that the three
groups did not differ signicantly in levels of distress.
Discussion
Consistent with expectations, the three groups of bipolar
patients displayed worse performance than the control
group on measures of verbal memory, executive function,
speed of information processing, and dexterity. Moreover,
the manic, depressed, and mixed-feature groups had more
impaired test scores than the control group. Indeed, they
were impaired on at least 50% of the indices comprising the
impairment index. Such results accord well with previous
investigations that found that manic and mixed-episode
patients perform worse than control groups (e.g., Cassens et
al., 1990; Sax et al., 1999). The current data also parallel
those of Wolfe et al. (1987) who observed that depressed
bipolar patients display impaired neuropsychological func-
tion compared with a control group. Insofar as such neuro-
psychological decits reect underlying cerebral integrity,
they imply considerable cerebral dysfunction in bipolar
illness, regardless of presenting mood disturbance.
It seems relevant to denote that the groups were equiva-
lent with regard to history of comorbid medical illness (e.g.,
hypertension, diabetes, etc.), history of educational difcul-
ties, severity of self-reported symptomatology on the
MMPI–2, and other demographic characteristics. As such,
Table 4
Mean Verbal Fluency, Trail Making Tests A and B, and Grooved Pegboard Performance
Test F(3, 112)
Group
Contrasts
2
Manic Mixed Depressed Control
Verbal Fluency Test 4.26* 37.16 (10.72) 36.00 (10.42) 36.12 (11.47) 44.00 (9.16) abc d .003
Trail Making Test A 4.81* 34.97 (13.39) 33.89 (16.78) 31.04 (9.29) 24.30 (2.74) abc d .02
Trail Making Test B 5.84** 107.86 (66.08) 102.96 (52.60) 90.25 (48.38) 60.73 (24.61) abc d .02
Grooved Pegboard Test
Dominant hand 7.66** 80.58 (26.58) 90.17 (35.42) 83.12 (21.97) 61.36 (8.12) abc d .02
Nondominant hand 5.15* 90.28 (36.66) 94.25 (33.03) 90.54 (24.99) 68.76 (12.25) abc d .003
Impaired scores 18.17** 3.30 (1.90) 3.42 (1.71) 3.04 (1.54) 0.88 (1.12) abc d .01
Note. Verbal Fluency Test includes corrections for age, education, and gender. Times to completion are listed for Trail Making Tests
A and B and Grooved Pegboard Test. Standard deviations appear in parentheses. Eta-square values reect effect size estimate for
differences between patient groups, excluding the control group. Tukey least signicant difference contrasts are as follows: a mania,
bdepression, c mixed, and d controls.
*p.01. ** p.001.
Table 5
Mean T Scores on the Eight Minnesota Multiphasic
Personality Inventory—2 Clinical Scales
Patient group Overall MSD
Manic 53.87 16.95
Mixed 60.10 20.50
Depressed 53.87 21.60
Control 54.51 7.84
Note. Eta-square value for the main effect was .02.
88 BASSO, LOWERY, NEEL, PURDIE, AND BORNSTEIN
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the signicant differences between the control group and
bipolar groups are unlikely due to confounding medical
factors or demographic biases.
Although the current data reveal signicant differences
between the control group and individuals with acute bipo-
lar disorder, they provide no compelling evidence of signif-
icant differences among patients with manic, depressed, or
mixed features. The three groups of bipolar patients gener-
ally displayed no statistically signicant differences in per-
formance across the neuropsychological test battery. Fur-
thermore, the three groups showed similar numbers of im-
paired test scores. As such, these data provide little evidence
that manic, mixed-feature, and depressed episodes yield
differential neuropsychological dysfunction in bipolar
disorder.
To some extent, these ndings may be expected. For
instance, prior investigations demonstrated that acute mania
and bipolar depression correspond with signicant neuro-
psychological decit (Hoff et al., 1990; McGrath et al.,
1997; Wolfe et al., 1987). Until the current comparison of
manic, depressed, and mixed-feature patients, however, it
was unclear that the degree of impairment did not differ
signicantly across these mood states. Moreover, to our
knowledge, no previous study has directly compared neu-
ropsychological function among discrete groups of manic,
depressed, and mixed-feature bipolar patients. Therefore,
the current ndings provide novel information concerning
neurobehavioral function in acutely ill individuals with bi-
polar disorder.
This nding raises an important conceptual issue. Spe-
cically, our failure to nd signicant differences among
the bipolar groups does not necessarily imply that equal
levels of neuropsychological dysfunction exist among
manic, depressed, and mixed-feature bipolar patients (i.e.,
“absence of evidence is not evidence of absence”). In par-
ticular, nonsignicant statistical differences may be due to
insufcient power. The effect size estimates for differences
among the patient groups were small. To obtain 80% power
(typically considered adequate for behavioral research; Co-
hen, 1977), data collection from a relatively large number of
participants would have been necessary. For instance, as
shown in Table 4, the effects size for differences between
bipolar patients was modest. To achieve 80% power, data
from 129 patients in each group (516 overall) would be
required. As suggested by Stevens (1986), the clinical
meaningfulness of such small effect sizes may be consid-
ered modest. Consequently, the likelihood that clinically
meaningful, but undetected, distinctions exist between the
bipolar groups is probably low.
To some extent, concluding that no signicant neurobe-
havioral differences exist between bipolar mood states may
seem counterintuitive. For instance, the presenting symp-
toms of depression and mania are markedly different, and
patterns of cerebral dysfunction may vary across manic,
depressed, and mixed-feature episodes. In support of this
assertion, Koek et al. (1999) measured electroencephalo-
graphic activity twice in a group of 13 patients with bipolar
disorder over a 2-year period. Specically, patients were
assessed once during a manic episode and again during a
depressive episode. The investigators found that depression
was associated with greater fronto-temporal activation in
the right than left hemisphere, whereas mania corresponded
with a converse pattern of arousal. Yet, studies using im-
aging methods suggest more diffuse dysfunction in bipolar
illness. For instance, Baxter et al. (1985) assessed resting
brain activity of manic, depressed, and mixed-episode bi-
polar patients with positron emission tomography. The de-
pressed and mixed-episode patients showed lower overall
brain glucose metabolism than the manic and control pa-
tients, and the uptake rate increased as these patients entered
euthymic or manic states. Other studies show that bipolar
disorder is associated with diffuse hypermetabolism
(Kennedy, Javanmard, & Vaccarino, 1997; Kishimoto et al.,
1987; Soares & Mann, 1997). Collectively, such outcomes
imply that manic and depressed episodes correspond with
diffuse patterns of cerebral dysfunction. The present nd-
ings of nonspecic neuropsychological difculties are con-
sistent with this suggestion. However, it should be acknowl-
edged that the battery of tests used in the present study is
relatively narrow in breadth. Other aspects of higher cog-
nitive function may be relatively spared in acutely ill bipolar
patients. As such, further research that uses a broader sam-
pling of neurobehavioral function would be necessary to
determine whether cognitive impairment is pervasive in
bipolar disorder.
Given the relatively similar level of decit demonstrated
by the three bipolar groups on neuropsychological mea-
sures, these ndings have potentially important implications
for clinical practice. In particular, because of their appar-
ently commensurate propensity for cognitive impairment,
patients with acute bipolar illnesses should be monitored
carefully regarding their activities of daily living and ca-
pacity for self-care; owing to neurobehavioral decit, they
may be less able to care for themselves or manage their
treatment. For instance, bipolar patients frequently resist
medication, and there are some indications that poor treat-
ment adherence may contribute to increasing treatment re-
sistance across time (cf. Coryell, Keller, Lavori, & Endicott,
1990). Relative to this issue, several studies have demon-
strated that neuropsychological impairment corresponds
with worse treatment outcomes in individuals with mania
(cf. Atre-Vaidya et al., 1998; Silverstein, Harrow, & Bry-
son, 1994; Silverstein, Harrow, Mavrolefteros, & Close,
1997). Other research has shown that neuropsychological
abnormalities correspond with poor response to antidepres-
sant medication and cognitive–behavioral therapy in major
depression (Sotsky et al., 1991). Collectively, these ndings
imply that the cognitive difculties observed in the present
study may predict poor clinical outcomes among bipolar
patients.
A notable uncertainty raised by the current data concerns
the durability of neuropsychological decits in bipolar dis-
order. In particular, the present ndings show that neuro-
psychological abnormalities seem to occur during acute
mood disturbance. Nonetheless, the relative severity of neu-
ropsychological impairment during euthymic periods re-
mains unclear. In particular, existing data demonstrate that
euthymic patients show signicant cognitive difculties and
89NEUROPSYCHOLOGICAL IMPAIRMENT IN BIPOLAR DISORDER
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cerebral abnormalities (e.g., Atre-Vaidya et al., 1998;
Soares & Mann, 1997; van Gorp et al., 1998, 1999). Yet, it
is unknown whether impairment in a euthymic state is
comparable to that displayed during an acute manic, mixed,
or depressed episode. For example, bipolar patients in a
euthymic state may show signicant neurobehavioral dif-
culty but to a lesser extent than observed during acute mood
disturbance. Given the apparent implications of such neu-
robehavioral abnormalities for clinical and functional out-
comes, it may be worthwhile to address this issue within a
longitudinal research design.
Prior to concluding, it should be acknowledged that the
current data are limited in several respects. In particular, the
data indicate that acutely ill bipolar patients show impaired
neuropsychological function relative to a control group. In
addition to differing in diagnostic status, the patients differ
from the control group in medication status. Insofar as it
may inuence neurobehavioral function, psychotropic med-
ication may further contribute to the differences between the
bipolar patients and control group. Furthermore, the diag-
noses were made by an attending board-certied psychia-
trist at a teaching hospital rather than with a structured
diagnostic interview. Although this diagnostic strategy is
considered relatively accurate (cf. Fennig et al., 1994; Ma-
ziade et al., 1992; Warner & Peabody, 1995), it is subopti-
mal, thereby introducing potential diagnostic error. More-
over, the current data are based entirely on a sample of
inpatients. The literature concerning neuropsychological
function in unipolar depression suggests that inpatients are
more severely impaired than outpatients (Burt, Zembar, &
Niederehe, 1995; Christensen, Grifths, Mackinnon, & Ja-
comb, 1997; Kindermann & Brown, 1997; Veiel, 1997).
Granted, such data are concerned with unipolar depression
rather than bipolar disorder. Yet, it may be that patients with
acute bipolar disorder who do not require hospitalization
may display less impairment than those who do. This hy-
pothesis as yet remains untested, but doing so may provide
important information concerning the generalizability of
neuropsychological difculties in bipolar disorder.
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Accepted July 25, 2001
91NEUROPSYCHOLOGICAL IMPAIRMENT IN BIPOLAR DISORDER
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... Cognitive function seems to be impaired during acute mood phases of BD. For most cognitive measures, studies comparing neuropsychological functioning across different mood states (Basso et al., 2002;Martínez-Arán et al., 2004) found no significant impairments between different mood states. In our study, we compared our model performance across mood states. ...
... Figure S2 and S3 in the supplementary materials reveal accuracies of patients within a certain mood state, showing that, for both of cohorts, accuracies for depressed, manic, hypomanic were largely unaffected. However, in both cohorts, mixed moodstates reflected lower accuracies which is contrary to other studies (Basso et al., 2002;Martínez-Arán et al., 2004). Sample sizes for mixed mood-states were very low compared to others (n = 12 in FE-BD, n = 3 for CHR-BD) which may have affected statistical power. ...
Article
Identifying cognitive dysfunction in early stages of Bipolar Disorder (BD) can allow for early intervention. Previous studies have shown a strong correlation between cognitive dysfunction and number of manic episodes. The objective of this study was to apply machine learning (ML) techniques on a battery of cognitive tests to identify first episode BD patients (FE-BD). Two cohorts of participants were used for this study. Cohort #1 included 74 chronic BD patients (CHR-BD) and 53 healthy controls (HC), while the Cohort #2 included 37 FE-BD and 18 age- and sex-matched HC. Cognitive functioning was assessed using the Cambridge Neuropsychological Test Automated Battery (CANTAB). The tests examined domains of visual processing, spatial memory, attention and executive function. We trained an ML model to distinguish between chronic BD patients (CHR-BD) and HC at the individual level. We used linear Support Vector Machines (SVM) and were able to identify individual CHR-BD patients at 77% accuracy. We then applied the model to Cohort #2 (FE-BD patients) and achieved an accuracy of 76% (AUC = 0.77). These results reveal that cognitive impairments may appear in early stages of BD and persist into later stages. This suggests that the same deficits may exist for both chronic and FE-BD. These cognitive deficits may serve as markers for early BD. Our study provides a tool that these early markers can be used for detection of BD.
... Verbal declarative memory impairments are among the most consistently reported cognitive diffi culties in patients with bipolar disorder (van Gorp et al., 1998(van Gorp et al., , 1999Krabbendam et al., 2000 ;Clark et al., 2001 ;Basso et al., 2002 ;Cavanagh et al., 2002 ;Donaldson et al., 2003 ;Fleck et al., 2003 ;Altshuler et al., 2004 ;Deckersbach et al., 2004b ;Martinez-Aran et al., 2004a ;. Eff ect sizes for declarative memory defi cits for patients with bipolar disorder have been found to be moderate to large (range 0.59-0.85) ...
... Using the California Verbal Learning Test (CVLT) (Delis and Kaplan, 2001 ), two studies of acutely ill inpatients in various mood states demonstrated signifi cantly decreased recognition performance relative to healthy comparison subjects (Clark et al., 2001 ;Basso et al., 2002 ). Several studies using similar verbal learning tests have found that euthymic patients have normal performance on recognition measures (van Gorp et al., 1999 ;Krabbendam et al., 2000 ;Fleck et al., 2003 ;Altshuler et al., 2004 ;Martinez-Aran et al., 2004b ;Th ompson et al., 2005 ;), suggesting that verbal recognition defi cits may be state-related, rather than a core defi cit of bipolar disorder (but see Deckersbach et al., 2004a ). ...
Chapter
The study of neuropsychological functioning in patients with bipolar disorder (BD) is expanding rapidly. Indeed, there was a threefold increase in the number of peer-reviewed publications on this topic from 2000 to 2005, as compared with the preceding five-year period (Fig. 1). Although significant increase in publication rate is expected in areas of new exploration, the study of neuropsychological functioning in BD is neither new nor dependent upon the development of novel technologies. Rather, this increase in scientific interest is driven by a recognition that poor neuropsychological functioning in patients with BD is at least partially independent of mood state (1-5), that cognitive problems may contribute significantly to lack of full functional recovery from affective episodes (6,7), and that neuropsychological deficits may provide clues into the neurophysiologic and neuroanatomic abnormalities implicated in the pathophysiology of the illness (8,9). While it is unclear at this time how common cognitive impairments are among individuals diagnosed with BD, a significant portion of patients with BD complain of cognitive difficulties (10,11). However, formal neuropsychological deficits have also been documented in asymptomatic patients who do not complain of cognitive difficulties (10,11), indicating that neuropsychological impairments may be more widespread than clinical experience would suggest.
... Such variable findings may be related to the intrinsic heterogeneity of BD, and the associated difficulties in controlling other clinical variables such as pharmacological treatment, presence of psychotic symptoms and duration of illness (Bora et al., 2010;Schouws et al., 2009;Torres et al., 2020). As a matter of fact, some studies found that current depression in BD would lead to more evident memory deficits compared to the hypomanic condition (Martínez-Arán et al., 2004;Malhi et al., 2007), while the opposite is true for another study (Gruber et al., 2007), and no significant differences in cognitive impairment have been observed when depressed, manic and mixed state patients were directly compared (Basso et al., 2002). A recent systematic review (Soraggi-Frez et al., 2017) investigated the relationship between WM and mood episodes in BD and found that difficulties in various processes of WM persist even in euthymic episodes. ...
Article
Background Distortions in time processing may be regarded as endophenotypic marker of neuropsychiatric diseases; however, investigations addressing Bipolar Disorder (BD) are still scarce. Methods The present study compared timing abilities in 30 BD patients and 30 healthy controls (HC), and explored the relationship between time processing and affective-cognitive symptoms in BD, with the aim to determine whether timing difficulties are primary in bipolar patients or due to comorbid cognitive impairment. Four tasks measuring external timing were administered: temporal and spatial orienting of attention task and temporal and colour discrimination task, for assessing the ability to evaluate temporal properties of external events; two other tasks assessed the speed of the internal clock (i.e. temporal bisection and temporal production tasks). Attentional, executive and working memory (WM) demands were equated for controlling additional cognitive processes. Results BD patients did not show differences in external timing accuracy compared to HC; conversely, we found increased variability of the internal clock in BD and this performance was correlated with Major Depressive Episodes recurrence and WM functioning. Hence, variability of the internal clock is influenced by the progressive course of BD and impacted by variations in WM. Limitations Future studies including BD patients stratified by mood episode will further specify timing alterations conditional to the current affective state. Conclusions Our results shed new light on the clinical phenotypes of BD, suggesting that timing might be used as a model system of the ongoing pathophysiological process.
... Similarly, there is no consensus in a specific pattern of cognitive dysfunction of acute and euthymic states in either BD or MDD. Euthymic BD individuals are more likely to present moderate impairment in executive control, verbal learning and memory, visual memory, and attention (Bourne et al., 2013;Cullen et al., 2015), while depressed BD individuals were more likely to present moderate impairment in attention, executive function, psychomotor speed, memory, and verbal fluency (Basso, Lowery, Neel, Purdie, & Bornstein, 2002;Neu, Kiesslinger, Schlattmann, & Reischies, 2001). Manic BD individuals were more likely to display poorer outcomes in selective attention and speed of responding (Gruber, Rathgeber, Bräunig, & Gauggel, 2007). ...
Article
Background Comparisons between healthy controls (HCs) and individuals with mood disorders have shown more cognitive dysfunction among the latter group, in particular in bipolar disorder (BD). This study aimed to characterize the pattern of cognitive function of BD and major depressive disorder (MDD) and compare them to HC using the (CogState Research Battery) CSRB™. Method Participants were tested, comprising the following domains: processing speed, attention, working memory, visual memory, executive functions, and verbal memory. Quality of life and functionality were also assessed. Multiple linear regression models were performed to examine the effect of demographic characteristics and functionality on cognitive outcomes separately for BD and MDD. Results Ninety individuals participated in the study, of which 32 had BD, 30 had MDD, and 28 were HC. Differences were found between both BD and MDD and HC for the composite cognitive score, with significant differences between BD and HC (Diff = −5.5, 95% CI = [−9.5, −1.5], p = 0.005), and MDD and HC (Diff = −4.6, 95% CI = [−8.6, −0.5], p = 0.025). There were overall significant differences in five cognitive domains: processing speed (p = 0.001 and p = 0.004), attention (p = 0.002), working memory (p = 0.02), visual memory (p = 0.021), and verbal memory (p = 0.007). BD also presented worse performance than both MDD and HC, and MDD presented better performance than BD but worse than HC in quality of life and functionality. Multiple linear regression models were significative for education (p < 0.001) and age (p = 0.004) for BD and education (p < 0.001) for MDD. Conclusion In general, cognition is more affected in BD than MDD, which could be associated with functional and quality of life impairment.
... The existence of cognitive dysfunctions during the symptomatic phases of bipolar disorder was recognized very early by Kraepelin in 1921 [5]. Thus, attention deficit, impaired mental flexibility, decreased verbal and non-verbal learning, and impaired memory have been reported in patients with bipolar disorder, both during the manic depression phase [6]. As a result, the functional changes associated with episodes of thymic decompensation may explain the impairment of cognitive functions that constitute a state marker of bipolar disorder. ...
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Studies exploring the cognitive performance of bipolar patients have mainly been conducted in Western countries. To our knowledge, no surveys have been reported to date in Tunisia. The present work aimed to evaluate the cognitive functions, in the three domains of memory, attention and executive functions, among a sample of Tunisian individuals with bipolar disorder, during the remission period, compared to healthy control subjects. We found that Cognitive functions in euthymic patients with bipolar disorder were significantly more impaired than in controls, apart from the working memory that did not show a significant difference between the two groups. Our findings confirm cognitive deficits associated with bipolar disorder, even at a distance from the symptomatic phases of the disease. Thus, these anomalies may be considered as a trait marker of the disease. A better understanding of cognitive decline certainly allows for better management of psychiatric pathologies, thus improving patients’ social skills and quality of life.
... In a recent meta-analysis of VFT in BD, Raucher-Chéné et al. 8 found that performance in letter and semantic VFT was equally reduced in patients with BD. Most studies were conducted during euthymia (30 out of 39 studies), and only one study 24 included a group of patients in a mixed episode. Importantly, Raucher-Chéné et al. 8 found greater impairment in the semantic (but not letter) VFT in euthymic compared to manic patients. ...
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Bipolar disorder (BD) is characterized by speech abnormalities, reflected by symptoms such as pressure of speech in mania and poverty of speech in depression. Here we aimed at investigating speech abnormalities in different episodes of BD, including mixed episodes, via process-oriented measures of verbal fluency performance – i.e., word and error count, semantic and phonological clustering measures, and number of switches–, and their relation to neurocognitive mechanisms and clinical symptoms. 93 patients with BD – i.e., 25 manic, 12 mixed manic, 19 mixed depression, 17 depressed, and 20 euthymic–and 31 healthy controls were administered three verbal fluency tasks – free, letter, semantic–and a clinical and neuropsychological assessment. Compared to depression and euthymia, switching and clustering abnormalities were found in manic and mixed states, mimicking symptoms like flight of ideas. Moreover, the neuropsychological results, as well as the fact that error count did not increase whereas phonological associations did, showed that impaired inhibition abilities and distractibility could not account for the results in patients with manic symptoms. Rather, semantic overactivation in patients with manic symptoms, including mixed depression, may compensate for trait-like deficient semantic retrieval/access found in euthymia. “For those who are manic, or those who have a history of mania, words move about in all directions possible, in a three-dimensional ‘soup’, making retrieval more fluid, less predictable.” Kay Redfield Jamison (2017, p. 279).
... Furthermore, the impairment of verbal memory is considered as the only cognitive problem which continues during mania phase, depression, and euthymic mood in patients with BPAD (Basso et al., 2002). An impairment in verbal memory can be considered as a unique feature of bipolar depression, as well as the endophenotype of this disorder, due to its persistence in depressive phase (Malhi et al., 2007). ...
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Introduction: Bipolar patients have abnormalities in cognitive functions and emotional processing. Two resting state networks (RSNs), the default mode network (DMN) and the sensorimotor network (SMN), play a decisive role in these two functions. Dorsolateral prefrontal cortex (DLPFC) is one of the main areas in the central executive network (CEN), which is linked to the activities of each of the two networks. Studies have found DLPFC abnormalities in both hemispheres of patients with bipolar depression. We hypothesized that the bilateral repetitive transcranial magnetic stimulation (rTMS) of DLPFC would produce changes in the activity of both the SMN and DMN as well as relevant cognitive function in patients with bipolar depression that responded to treatment. Methods: 20 patients with bipolar depression underwent 10 sessions of 1 Hz rTMS on right DLPFC with subsequent 10 Hz rTMS on left DLPFC. Changes in electroencephalography resting networks between pre and post rTMS were evaluated utilizing low-resolution electromagnetic tomography (eLORETA). Depression symptom was assessed using the Beck Depression Inventory (BDI-II) and cognitive function was assessed by Verbal Fluency Test (VFT), Rey Auditory Verbal Learning Test (RAVLT), Stroop Test, and Wisconsin Card Sorting Test (WCST). Results: Responders to rTMS showed significantly lower DMN activity at baseline and a significant decrease in SMN connectivity after treatment. Non-responders did not significantly differ from the control group at the baseline and they showed higher activity in the SMN, visual network, and visual perception network compared to control group following treatment. Bilateral rTMS resulted in significant changes in the executive functions, verbal memory, and depression symptoms. No significant changes were observed in selective attention and verbal fluency. Conclusion: Bilateral stimulation of DLPFC, as the main node of CEN, results in changes in the activity of the SMN and consequently improves verbal memory and executive functions in patients with bipolar depression.
Chapter
Objective: To carry out a systematic review and meta-analysis of age of onset (AoO) of bipolar disorder (BD).
Thesis
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Racing thoughts have been traditionally described in manic states in patients with bipolar disorder. Recently, attention has been raised to this symptom in depressive episodes. In this thesis, we aimed at investigating the phenomenology of racing thoughts, a phenomenon that has been understudied so far, via a self-report questionnaire that we have developed – the Racing and Crowded Thoughts Questionnaire (RCTQ) -, in patients with bipolar disorder and in healthy individuals. From a cognitive standpoint, we assessed the cognitive underpinnings of racing thoughts via temporal and verbal fluency tasks. Our results suggest that racing thoughts are a multi-faceted phenomenon, that can be observed even in healthy individuals with mild affective instability. Importantly, our results show that racing thoughts are associated with lexico-semantic and executive abnormalities as well as with a feeling of faster than usual passage of time.
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Meta-analysis was used to examine the performance of depressed and Alzheimer-type dementia (DAT) patients on standard and experimental clinical tests of cognitive function. Deficits were found for depression on almost every psychological test. Relative to nondepressed controls, the average deficit was 0.63 of a standard deviation, but the magnitude of the effect varied with the type of test. DAT patients performed worse than depressed patients, with an average effect size of 1.21 standard deviations, but the size of the effect depended on the clinical test. Effect sizes for the comparison between depressives and controls were significantly affected by age, treatment setting, ECT use, severity of depression, and the source of diagnostic criteria, but not by the type of depression. Effect sizes in the comparison of depressives to DAT patients were influenced by age, the severity of depression, and ECT. Depressives performed proportionately worse than controls on tasks with pleasant or neutral, compared with unpleasant content, on speeded compared with nonspeeded tasks, and on vigilance tasks. However, there were no differences in the magnitude of effect size for tests using recall compared with recognition, using categorical compared with noncategorical word lists, on story compared with word comprehension, and using verbal compared with visual material. Relative to DAT patients, depressives performed no better on recall compared to recognition tasks, or verbal compared to visual material. The findings of the review are not consistent with the hypothesis that depression is associated with deficits in effortful processing. A model of psychological deficit in depression as a deficit in speed or attention has more promise. ( JINS , 1997, 3 , 631–651.)
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Prior magnetic resonance imaging (MRI) studies report both medial and lateral cortical temporal changes and disturbed temporal lobe asymmetries in schizophrenic patients compared with healthy controls. The specificity of temporal lobe (TL) changes in schizophrenia is unknown. We determined the occurrence and specificity of these TL changes. Forty-six schizophrenic patients were compared to 60 normal controls and 27 bipolar subjects on MRI measures of bilateral volumes of anterior and posterior superior temporal gyrus (STG), amygdala, entorhinal cortex, and multiple medial temporal structures, as well as global brain measures. Several regional comparisons distinguished schizophrenia from bipolar disorder. Entorhinal cortex, not previously assessed using MRI in schizophrenia, was bilaterally smaller than normal in schizophrenia but not in bipolar disorder. Schizophrenic but not bipolar patients had an alteration of normal posterior STG asymmetry. Additionally, left anterior STG and right amygdala were smaller than predicted in schizophrenia but not bipolar disorder. Left amygdala was smaller and right anterior STG larger in bipolar disorder but not schizophrenia.