|Year : 2014 | Volume
| Issue : 2 | Page : 147-154
Pseudo-dementia: A neuropsychological review
Hai Kang1, Fengqing Zhao1, Llbo You2, Cinzia Giorgetta3, Venkatesh D4, Sujit Sarkhel5, Ravi Prakash4
1 Department of Emergency, Yantai Yuhuangding Hospital, Yantai, Shandong Province, China
2 Operating Room, Yantai Yuhuangding Hospital, Yantai, Shandong Province, China
3 Department of Cognitive Science and Education, University of Trento, Rovereto, Trentino, Italy
4 Department of Physiology, M.S. Ramaiah Medical College, Mathikere, Bangalore, Karnataka, India
5 Institute of Psychiatry, Kolkata, West Bengal, India
|Date of Submission||19-May-2013|
|Date of Decision||14-Jun-2013|
|Date of Acceptance||24-Feb-2014|
|Date of Web Publication||17-May-2014|
# 15, 15-C Cross, Muthyalanagar, Mathikere, Bangalore - 560 054, Karnataka
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Ever since Kiloh (1961)  coined the term pseudo-dementia, it has been used a little loosely for describing the cognitive deficits in depression, especially, which is found in old age. However, several diagnostic dilemmas persist regarding the nosological status of this condition. Teasing out these individual diagnostic problems is important not only for administering appropriate therapy, but also for preventing them from the unnecessary diagnostic assessments towards the other diagnoses. Thus, it is important to have a detailed knowledge of the cognitive or neuropsychological deficits in this condition. In this review, we start by addressing the important issue of diagnostic confusion between dementia and pseudo-dementia. Subsequently, we proceed by reviewing the present scientific literature on the cognitive deficits found in this clinical condition. For the sake of convenience, we will divide the cognitive deficits into:
- Memory deficits
- Executive function deficits and
- Deficits in speech and language domains.
Finally, we will look at the progression of this condition to see the components of this condition, which can be actually called "Pseudo".
Keywords: Cognition, executive functions, memory, pseudodementia
|How to cite this article:|
Kang H, Zhao F, You L, Giorgetta C, Venkatesh, Sarkhel S, Prakash R. Pseudo-dementia: A neuropsychological review. Ann Indian Acad Neurol 2014;17:147-54
|How to cite this URL:|
Kang H, Zhao F, You L, Giorgetta C, Venkatesh, Sarkhel S, Prakash R. Pseudo-dementia: A neuropsychological review. Ann Indian Acad Neurol [serial online] 2014 [cited 2020 Sep 24];17:147-54. Available from: http://www.annalsofian.org/text.asp?2014/17/2/147/132613
| Introduction|| |
The term pseudo-dementia (PDEM) was coined by Kiloh (1961)  to describe the cases, which closely mimicked the picture of dementia. Since then, the term has been used to describe the cognitive profile of various psychiatric disorders, especially depression in old age, which present with cognitive deterioration in dementia. After the term came into the academic use, there have been several arguments against its usage , as well as in favor of it.  Inspite of these arguments, PDEM remains an important descriptive denotation for describing cognitive deficits in psychiatric disorders, especially depression. Clinically, PDEM has become synonymous with the cognitive deficits seen in patients with major depressive disorder. As the term signifies, it is the clinical condition, which presents with the picture of a full-blown dementia but actually is a different entity. This means that actually this condition has two components, which is also reflected in its name:
- "The dementia component" which is the combination of various cognitive deficits found in these psychiatric disorders and
- "The pseudo component" which denotes the actual lack of the neurodegenerative dementia.
Both these components are important and will be dealt with separately in this review. The relationship between depression and dementia is complex and has been the topic of many debates recently. This complexity arises from the two facts that cognitive impairments can be found in depression  and that dementia can manifest with depressive symptoms as well. This issue of the diagnostic dilemma will be addressed in the subsequent sections.
There are multiple reasons why there has to be a clearer understanding of this condition. Most importantly, it needs to be properly understood because of the role it plays in the functional impairment of depressive disorders. In the recent review by McIntyre et al.,  it was found that cognitive deficits accounted for the largest percentage of variance with respect to the link between psychosocial dysfunction and major depressive disorder (MDD). Thus, cognitive deficits are clearly important functional predictors of MDD. In this review, we will try to bring forth a better and clearer picture of cognitive deficits in depression. First, we will focus on the issue of diagnostic dilemmas between dementia and pseudo-dementia. Subsequently, we will focus on the individual cognitive deficits and the progression of this condition.
| Pseudodementia vs. Dementia - Understanding the Diagnostic Dilemma|| |
The importance of distinguishing primary dementing processes from functional disorders has been highlighted time and again since Kiloh coined this term in 1961. In his own words, such patients "may be in danger of therapeutic neglect and perhaps of unnecessary neurosurgical investigations" . However, the author also mentioned that this term does not have any nosological significance and only describes a condition. Now, we know that this condition is far more important to understand for establishing a diagnosis of either dementia or depression. The timely recognition and treatment of depression in the elderly is thus important not only to prevent the patient from the consequences of progressing depression but also to prevent them from unnecessary investigative evaluations for dementia. The difficulty in diagnostic assessments of PDEM and pervasive developmental disorder (PDD) is particularly evident in elderly patients as compared to young adults because of the additional confusion created by age-related cognitive deficits. No wonder that there have been reports of high rates of both false-positive and false-negative errors in the diagnosis of dementia. ,,, This points the necessity of improved clinical diagnostic techniques. Along with this normal age-related cognitive decline, multiple health problems, and the common use of several different medications are often the additional factors obscuring appropriate diagnosis of depression in the aged people.
One of the earliest and still most cited descriptions of cognitive deficits of PDEM was provided by Small et al.  In their classical descriptions, depressive PDEM patients had equal loss for recent and remote events, were especially characterized by patchy or specific memory loss, their attention and concentration were intact and gave frequent "Don't know" answers. More specifically, their performance on similarly difficult neuro-psychological tasks were much variable.
A clearer picture of this diagnostic dilemma was provided by Kaszniak  who delineated four clinically important reasons that make the differentiation between these two clinical states difficult:
- Cognitive changes in the elderly blur the distinction between normal aging and early signs of PDD
- Cognitive impairment frequently accompanies depression and can be severe enough to cause confusion between dementia and depression
- Signs of some neurologic diseases associated with progressive decline (e.g., Alzheimer's disease [AD] and Parkinson's disease [PD]) have symptoms that overlap with depression
- Dementia and depression can co-exist.
[TAG:2]Cognitive Deficits in Depression: Detailing the "Dementia" Component[/TAG:2]
One of the earliest descriptions of overall cognitive deficits in depressive disorders was given by Caine  who characterized patients with such "neuropsychiatric disorders" as having deficits in the following areas:
- Arousal, attention, and concentration;
- Mood and affect;
- Perception (both ideational and physical, internal and external);
- Specific intellectual functions (e.g., memory, language); and
This classification summarizes the cognitive deficits in depressive disorders. However, it lacked specificity for the cognitive deficits. Further, along this review, we will focus more on specific cognitive domains, and will do it as a comparison with the cognitive deficits in dementing disorders. We will limit present discussion to memory, executive functions and speech and language deficits among the other cognitive deficits.
Memory function deficits
Memory has been the most assessed function for evaluation of cognitive differences between depression and dementia. It is now commonly accepted that depression presents with a number of deficits in the domains of episodic memory and learning.  Considerable body of evidence shows that there are multiple cognitive impairments in depression as compared to normal subjects. This finding has been consistent across most studies and appears to involve both explicit verbal and visual memory functions and is similarly affected in patients suffering from both melancholic (endogenous) and non-melancholic (non-endogenous) depression types.  However, these patients have intact performances on implicit memory tasks, and some other memory functions appear to be spared. ,,, Although the neurobiological underpinnings of these memory deficits are not clear, they can be traced to the temporal lobe related abnormalities. It is well known that temporal lobe lesions result in impairments in episodic memory. This fact along with the finding that reductions in hippocampal volume are demonstrated in patients with major depression  may point towards temporal lobe deficit as the culprit for these deficits.
Hart and Kwentus  examined memory scanning and incidental memory performance in depressed elderly (n = 15) and normal control patients (n = 16). They employed the Stemberg task  and the digit symbol (DS) subtest of the WAIS-R, Wechsler  both of which are measures of basic psychomotor speed, as well as incidental memory (DS) and information processing efficiency (ST). They found depressed patients' reaction time to be significantly slowed down. However, incidental memory for symbols (on DS) and information processing capacity (slope function of the ST) were not affected by the depressive status. Authors raised the possibility that the psychomotor slowing in depressed patients was more due to "motivational" factors that are mediated by catecholaminergic systems.
Till now, we have focused on memory deficits in depression patients in comparison to normal individuals. However, there have been many other studies, which show that memory deficits in depression are considerably mild when seen in comparison to dementia.
Early work by Whitehead addressed the issue of verbal learning and memory deficits in depression by comparing elderly depressed and patients with mild dementia. They posited that variation in response strategies was the core reason for the memory-related differences observed in these groups of patients.  Authors had observed that depressed patients tended to take a conservative approach in making responses, thereby showing less random variation in their responses, whereas patients with mild dementia committed more random and false positive errors.  However, their findings were based on relatively small samples of patients (n = 12) with weakly defined clinical diagnoses. Miller & Lewis  took a step ahead for evaluating this finding and verified depressed patient's conservative response strategies with well-matched and more clearly defined samples. They found that the accuracy of depressed patients on a recognition memory task was significantly better than that in dementia of Parkinson's disease patients. La Rue  compared depressed patients (n = 41), AD patients (n = 19), and patients with other organic impairments (e.g., PD, multi-infarct dementia; n = 20) on the Object Memory Evaluation (OME). A general finding was that depressed patients performed better than AD patients on "all initial learning and recall as well as delayed recall measures." Dannenbaum et al used the Brown-Peterson task in discriminating between these delayed recall performances of normal, elderly depressed and Alzheimers dementia patients. They found superior delayed recall performance of depressed elderly relative to patients with DAT.
In addition to AD, other subcortical neurodegenerative disorders also have been reported with impairments in cognitive processing including Friedreichs Ataxia  and Parkinson's disease  . Niederehe  conducted a series of studies aimed at distinguishing between depressed, PDD patients, and normal individuals on measures of "episodic", "semantic",  and constructive memory tests. His studies were based on small sample size (n = 24) and consisted of well-matched groups. A consistent outcome of his studies was a qualitatively worse performance of PDD patients as compared to depressed patients.
Hart et al.  with their study results suggested that depressed and AD patients might be distinguished on the basis of the rapidity with which they forget initially encoded information. In their study, the depressed patients, AD patients, and normal subjects were differentially exposed to the to-be-remembered information. Patients were presented line drawings for 2, 4, and 8 s (for normal, depressed, and Alzheimer's patients, respectively), in view of the fact that the levels of learning impairments groups were suffering was different. Their results indicated that AD patients showed a much more rapid rate of forgetting as compared to depressed and normal individuals who forgot information at the same rate. However, there was relatively equivalent general intellect, verbal fluency, and concentration ability.
Some early studies have assessed recall-memory functions using several different standardized neuropsychological tools. In a study using the incidental memory manipulation with the DS subtest of the WAX-R (mentioned above), Hart et al.  found that depressed (n = 15) and mildly demented patients (n = 15) were similar in performance with respect to psychomotor speed, but the recall of symbols demonstrated by depressed patients was significantly more than mild AD patients. Another study examining memory-recall performance using the selective reminding procedure Buschke  produced similar results showing that depressed patients (n = 14) were impaired on total recall and proportion of items retained from trial to trial relative to normals (n = 16), but were superior to mild AD patients (n = 15) across all memory indices. 
Work by La Rue and collaborators have examined elderly depressed patients' performance on a variety of clinical memory tasks. , Normal elderly (n = 10), depressed patients (n = 10), and patients with PDD (n = 10) were compared with respect to their performance on the Benton Visual Retention Test (BVRT), Inglis Paired Associate Learning Test (IPA), and Fuld Object Memory Evaluation (OME).  Depressed patients performed at or below the level of normal controls on most BVRT and IPA indices, and were generally superior to dementia patients. However, the OME was far better at distinguishing between groups.
In view of these findings of memory impairments in depression, the question of etiopathogenesis becomes all the more important. Till now, there is no 'unified theory' for these cognitive deficits but most theories point towards an encoding problem in such patients. This encoding deficit can be seen in the context of different information processing stages of memory.  From the perspective of a "levels of processing" approach of depression,  such patients might not be able to encode information to the same "depth" as normal subjects. In a small sample study, Weingartner et al.  examined normal and depressed subjects' ability to employ elaborative encoding strategies when learning new information. Their findings suggested that depressed patients failed to engage in encoding strategies that would maximize the likelihood of subsequent recall which however, improved in performance when material was presented in a predecided organized fashion. Weingartner  on the other hand looked at depressed patients' encoding abilities as a function of the relative amount of effort expended in initial learning.  He found that depressed patients were less successful than normals when engaging in "effort demanding" encoding exercises. This led, Weingartner  to propose that, "biological systems associated with motivation, effort, and arousal appear to be linked to the performance of effort demanding cognitive operations in depressed patients."
To summarize, depression presents with several memory-function deficits most common being those related to tasks of recall or remembering. However, the sample sizes of these studies have been relatively small (generally l0-30 subjects per group), and the methodologies vary widely, which have been the main limitations of these studies. Additionally, these memory deficits inspite of being significantly worse than normal individuals, are comparably better than those associated with dementia Regarding the basic neurobiology of these deficits, most researchers have suggest that such differences represent general cognitive inefficiency and attention problems rather than a fundamental lack of ability due to structural deficits. This can be seen in the differences between depression and dementia patients as well as in the temporariness of these deficits in the clinical picture of depression, which will be dealt in next sections.
Executive function deficits
Executive function deficits are prevalent in depressive disorders and recently they have been found to produce clinically significant effects, which may in fact be a significant mediator of the functional impairments found in such patients. Task switching or the set-shifting abilities have been the most commonly found impairments among executive functions in depressed patients. In a recently well-reviewed article by McIntyre,  authors found that executive function deficits occur at a rate of 20-30% of patients suffering from MDD. Studies in past decade examining impairment in executive tasks have produced somewhat consistent findings of impairments in set shifting tasks in depressed patients. ,,,, In general, significant impairments have been observed in subjects with more severe depression. ,, For example, Beats et al.  found a severely depressed elderly sample to be most prominently impaired on verbal fluency and attentional set-shifting. Same finding has been reflected even in younger patients suffering from moderate depression by Purcell et al.  so that no impairment on working memory was found but impairments on measures of motor speed and attentional set-shifting were observed, with half of the depression group even failing to complete all stages of this task. Same study also revealed that these 'impaired' subjects had higher rates of admissions for treatment of depression, suggesting that those with overall greater illness severity were more impaired on set-shifting tasks. Similar to these findings, the studies by Channon  and Channon & Green  showed that even patients suffering from mild to moderate depression (mean Beck Depression Inventory  scores of 17-21) suffered from impairment in executive functions of matching, task completion and task switching based on their performance in Wisconsin Card Sorting Test even though they belonged to younger age group (mean 20-40 years). Similar findings of set shifting ability deficits have been observed in several other studies. ,, An interesting comparison of executive function of depressed patients with manic patients was conducted by Murphy et al.  In a study comparing the performance of subjects with depression and mania on a novel affective set-shifting task, they found that subjects with depression were impaired in their ability to shift the focus of attention (corresponding to the set-shifting component of the WCST), while patients with mania were impaired in their ability to inhibit behavioural responses. This impairment corresponds to the inability to prevent the corresponding to the interference effect of the Stroop test as described by Golden  . There have also been attempts to evaluate the executive functions on various subgroups of depression. Some particularly interesting studies were conducted by Austin et al.. , They divided depression patients into endogenous and non-endogenous subsets using standardized definitions of endogenous depression by the Newcastle system.  Further, they subdivided the samples into melancholic and non-melancholic according to the CORE instrument.  In the Austin et al.)  study, subjects with endogenous/melancholic depression were impaired (as in the Austin et al. 1992a study)  on working memory (digits backwards) as well as on tasks heavily reliant on set-shifting (Trails B, and digit symbol substitution) as well as an increased perseverative response on the Wisconsin Card Sorting Task. 
Other than these set-shifting problems, several other executive function deficits have been observed. Bomstein, et al.,  studied a sample of elderly depressed patients (n = 62) for the presence of the "Fuld profile"  on the Wechsler Adult Intelligence Scale-Revised (WAIS-R; Wechsler)  which was thought to be relatively specific (though not necessarily sensitive) to disorders in which there is prominent temporal lobe pathology, most notably AD. Results from this study indicated that the Fuld profile was present although less frequently in depressed elderly patients (16%) than in the AD samples (44%) as reported in 1984 by Fuld, but similar to that observed in a normal subject group (12.8%).  These findings suggest that the elderly patients with depression do present with executive function deficits but less than AD patients. Recently, the trend of such assessment studies has been to employ comprehensive batteries and/or intelligence tests for examining neuropsychological function in depressed patients. Gray, et al.,  looked at the performances of depressed (n = 30) PDD (n = 26) and general neurological patients (n = 24) on subtests of the Halstead-Reitan Neuropsychological Battery (HRB). They found that depressed patients were generally less impaired, as measured by the Halstead impairment index, than PDD and neurological groups. In fact, depressed individuals were superior to the other groups on all HRB measures except, Tactual Performance Test location, Speech Sounds Perception Test, and Trail-Making Test A.  In a similar vein, McCue, Goldstein, and Shelly  compared the performances of depressed (n = 45) and PDD patients (n = 34) on a short form of the Luria Nebraska Neuropsychological Battery (LNNB). They were able to differentiate between the groups on all the 10 clinical scales of the form employed. Patients with depression who were misclassified as having PDD tended to have more extreme degrees of depressive symptomatology and lower educational levels.  These studies, with larger sample sizes and a broader range of cognitive domains assessments, further strengthen the general finding of substantial differences between depressed and demented individuals. In a most recent study, Egerhazi et al.  used Cambridge Automated Neuropsychological Battery in patients suffering from MDD during their acute stage. They found that during the acute episode, delayed matching to sample, paired associate learning, spatial recognition memory, rapid visual processing and visuospatial planning were impaired. In remission, improvements in the domains of visual learning ability, spatial recognition memory, psychomotor speed, and executive function were observed. The authors concluded that MDD is associated with neurocognitive dysfunctions in different domains, the most prominent deficit being found in the paired associate learning test, which requires both the elaboration of "frontal strategies" and the "mnemonic processes".
Processing speed impairment is another important executive function deficit observed in depression. In a recent study by Brown et al.,  it was found that impairments in processing speed partially mediated the effect of depression on functioning in patients suffering from minimal cognitive deficits. A more clinical outcome of this processing speed impairment is psychomotor slowing, which is almost universally found in the depressed patients, irrespective of the number of episodes. However, there also have been exceptions to these near-universal findings. Elliott et al.  conducted a study on middle-aged subjects with moderate, predominantly chronic depression, and demonstrated impaired abilities of these patients on the tasks of Tower of London, verbal fluency and spatial working memory but intact performance on a modified and easier version of the Cambridge Neuropsychological Battery (CANTAB) set-shifting task.  Works by Bieliauskas and colleagues (Bieliauskas et al.; Bieliauskas & Lamberty; Bieliauskas, et al.) ,, have repeatedly presented the findings showing the lack of significant differences between normal and depressed patients on EF and other cognitive measures. In a series of studies using screening measures such as the MMSE and the Neurobehavioral Cognitive Status Exam  no differences were found between depressed (n = 15) and non-depressed patients (n = 33) across a wide array of cognitive and motor tasks (with the exception of the NCSE Attention subtest). On the basis of these findings, they put forth the notion that differences between normal and depressed patients are sufficiently subtle to not significantly influence scores on standard cognitive screening instruments.
Speech and language function deficits
Small number of studies has specifically examined speech-language function in elderly depressed patients. While most of the tasks used to measure cognitive abilities in above-mentioned studies have obvious receptive and expressive language components, it is important to highlight some studies which have looked at specific language skills. For instance, in the study by Emery and Breslau  it was observed that depressed patients performed better than AD patients on measures of naming, repetition, general reading skill, syntax, and auditory verbal comprehension. At the same time, normal individuals tended to show better language performance than depressed patients overall, though these differences were considerably less obvious than those noted between depressed and AD patients.  It is to be noted that "verbal fluency" tasks are recognized as sensitive indicators of general cognitive impairment; so this finding has to be seen as a measure of general impairment rather than specific language related impairment.  However, Hart et al.  found no statistically significant difference between depressed and AD patients on the familiar controlled oral word association test (a.k.a., F-A-S test; Benton & Hamsher)  between depressed and AD patients so that both of them showed reduced verbal fluency, However, depressed patients outperformed AD patients on a categorical fluency task (i.e., "animals"). Thus, finally a reduction in psychomotor speed was considered as the main reason to explain depressed patients' weakness on this task rather than true deficits in the domain of language and speech. 
Another commonly used measure of language function has been the Boston Naming Test.  Using a 30-item version of the BNT, Speedie et al.  reported that depressed patients were impaired to the same extent as patients with irreversible dementias whereas prominent language deficits (including confrontation naming) are not thought to be common in depression.  Most of the findings of language related impairments have only been incidental while examining for other cognitive domains.
[TAG:2]Progression of Pseudo-Dementia: Perspectives for the "Pseudo" Component[/TAG:2]
As we highlighted in the previous sections, it is difficult to tease out true cases of pseudo-dementia given the overlaps between the clinical findings in dementia and depression with regards to both depressive symptoms and cognitive impairments. Saez-fonseca  found in their 5-7 year follow up study that 71.4% of those suffering from PDEM had converted into dementia at follow-up compared to only 18.2% of the conversion in the cognitively intact group. Kral & Emery  conducted a similar study of progression of pseudo-dementia. Forty-four elderly patients of both sexes (mean age 76.5 years) suffering from depressive PDEM were intensively treated for the depression. When the depression subsided, cognitive function also reverted to premorbid level. Patients were regularly interviewed and retested at six months intervals for four to 18 years (average 8). Some patients experienced, during the follow-up period, a recurrence of the depression for which they were again successfully treated. For testing the progression of these cognitive deficits with time, several different study designs have been used. Some studies have used the more direct method of comparing cross-sectionally the performance of subjects who have recovered from depression with that of matched controls. Paradiso et al.  found significant cognitive impairments on the set-shifting tasks in subjects who had recovered from unipolar depression as compared to normal controls. Additionally, these cognitive deficits were not related to medication status which suggested the independence of these deficits from treatment related variables. In the same line, Marcos et al.  found persistent deficits in both immediate memory and delayed recall of visual and verbal material, and block design in patients of melancholia after 3 months of their recovery.
Although these studies provide a cross-sectional perspective regarding poor neuropsychological performance of depressed patients in comparison to normal controls, definitive findings can only be provided by testing the cognitive status before and after recovery so that any baseline cognitive deficits are eliminated. Abas et al.  tested elderly patients with endogenous depression on several memory measures and reported that nearly half of those performing poorly at baseline were poor performers inspite of absence of clinically evident dementia or minimal cognitive deficits. In a similar sample of elderly patients, Beats et al.  also found that many, but not all deficits had remitted upon recovery: Specifically, measures of simple and choice reaction times, perseveration on the set shifting task and verbal fluency did not fully recover.
There have also been studies showing that cognitive impairments improve with treatment. In one of the earliest studies, Sternberg & Jarvik  reported that in endogenous depression subjects responding to a tricyclic antidepressant treatment, although performance on learning and short-term memory tasks remained impaired after treatment, there was improvement in immediate memory and this was related to degree of depressive recovery. Similar findings were reported by Calev et al.  and Bazin et al.  neither of which found residual impairments in either explicit (verbal and visual) or implicit memory tasks upon recovery. Similarly, Trichard et al.  in a controlled study of executive task performance in middle-aged subjects with severe depression, reported improved performance on the verbal fluency task but not the Stroop test upon recovery. A very significant finding was reported by Peselow et al.  who in a study of patients with unipolar depression treated with imipramine for 4 weeks, found significant improvement in all mnemonic measures only those responding to treatment. They concluded that in memory tasks performance, recovery of mood was associated with significant cognitive improvement. These findings have been reminded in a recent study by Egerhazi et al.,  where cognitive impairment was found to improve partly in remission, suggesting that an individual's current mood interacts with the ability to perform a cognitive task.
To summarize, results suggest that several cognitive domains especially those related to memory functions are improved with treatment of depressive disorders; however, several of them do persist. Thus a residual deficit in mnemonic and executive function appears to remain in some patients with a history of depression and specifically need to be investigate further because reversible cognitive impairment in late-life moderate to severe depression appears to be a strong predictor of dementia. More studies are needed to exactly understand the relationship of cognitive deficits in depression to crucial epidemiological variables such as age, treatment, duration and chronicity of illness and number of episodes.  Thus, it is recommended to have a full dementia screening for patients suspected to have PDEM.
| Conclusion|| |
Present review suggests that over past few decades, enough study results point to the fact that depressive states adversely affect cognitive functions, especially in old-age or geriatric depression. In spite of the methodological and sampling problems encountered when working with these complex populations, the differentiation between depression and early stages of dementia seems to be plausible. Although, earlier researchers have pointed out the inabilities of neuropsychological tests in the context of making these differentiations , most of the recent data support this practice and should be able to differentiate between true cases of dementia, depression and the ill-defined intermediate stage of pseudo-dementia. Subsequent endeavors in this area with more well-defined populations and properly designed studies are needed to generalize these conclusions.
| References|| |
|1.||Kral VA, Emery OB. Long-term follow-up of depressive pseudodementia of the aged. Can J Psychiatry 1989;34:445-6. |
|2.||Kiloh LG. Pseudo-dementia. Acta Psychiatr Scand 1961;37:336-51. |
|3.||Mahendra B. Depression and dementia: The multifaceted relationship. Psychol Med 1985;15:227-36. |
|4.||Weingartner H, Cohen RM, Murphy DL, Martello J, Gerdt C. Cognitive processes in depression. Arch Gen Psychiatry 1981;38:42-7. |
|5.||Sachdev PS, Smith JS, Angus-Lepan H, Rodriguez P. Pseudodementia twelve years on. J Neurol Neurosurg Psychiatry 1990;53:254-9. |
|6.||Austin MP, Ross M, Murray C, O′Carroll RE, Ebmeier KP, Goodwin GM. Cognitive function in major depression. J Affect Disord 1992;25:21-9. |
|7.||Austin MP, Mitchell P, Wilhelm K, Parker G, Hickie I, Brodaty H, et al. Cognitive function in depression: A distinct pattern of frontal impairment in melancholia? Psychol Med 1999;29:73-85. |
|8.||Beats BC, Sahakian BJ, Levy R. Cognitive performance in tests sensitive to frontal lobe dysfunction in the elderly depressed. Psychol Med 1996;26:591-603. |
|9.||Purcell R, Maruff P, Kyrios M, Pantelis C. Neuropsychological function in young patients with unipolar major depression. Psychol Med 1997;27:1277-85. |
|10.||Raskin A, Friedman AS, Di Mascio A. Cognitive and performance deficits in depression. Psychopharmacol Bull 1982;18:196-202. |
|11.||Friedman AS. Minimal effects of severe depression on cognitive functioning. J Abnorm Psychol 1964;69:237-43. |
|12.||Silberman EK, Weingartner H, Post RM. Thinking disorder in depression. Arch Gen Psychiatry 1983;40:775-80. |
|13.||Brown PJ, Liu X, Sneed JR, Pimontel MA, Devanand DP, Roose SP. Speed of processing and depression affect function in older adults with mild cognitive impairment. Am J Geriatr Psychiatry 2013;21:675-84. |
|14.||Egerhazi A, Balla P, Ritzl A, Varga Z, Frecska E, Berecz R. Automated neuropsychological test battery in depression - Preliminary data. Neuropsychopharmacol Hung 2013;15:5-11. |
|15.||Robbins TW, James M, Owen AM, Sahakian BJ, McInnes L, Rabbitt P. Cambridge Neuropsychological Test Automated Battery (CANTAB): A factor analytic study of a large sample of normal elderly volunteers. Dementia 1994;5:266-81. |
|16.||Elliott R, Sahakian BJ, McKay AP, Herrod JJ, Robbins TW, Paykel ES. Neuropsychological impairments in unipolar depression: The influence of perceived failure on subsequent performance. Psychol Med 1996;26:975-89. |
|17.||Parker G, Hadzi-Pavlovic D, Wilhelm K, Hickie I, Brodaty H, Boyce P, et al. Defining melancholia: Properties of a refined sign-based measure. Br J Psychiatry 1994;164:316-26. |
|18.||Golden CJ. Stroop Color and Word Test. Chicago: Stoetting; 1987. |
|19.||Carney MW, Roth M, Garside RF. The diagnosis of depressive syndromes and the prediction of E.C.T. response. Br J Psychiatry 1965;111:659-74. |
|20.||Bieliauskas LA, Costello S, Terpenning M. Depression and screening for cognitive deficit in elderly patients. J Clin Exp Neuropsychol 1991a;13:101. |
|21.||Bieliauskas LA, Lamberty GJ. Simple reaction time and depression in the elderly. The Clinical Neuropsychologist. 1991;S(3):252. |
|22.||Bieliauskas LA, Lamberty GJ, Boczar I. Lack of depression effects on cognitive function in the elderly. J Clin Exp Neuropsychol 1991b;133X:433. |
|23.||Goodwin GM. Neuropsychological and neuroimaging evidence for the involvement of the frontal lobes in depression. J Psychopharmacol 1997;11:115-22. |
|24.||Hertel PT, Hardin TS. Remembering with and without awareness in a depressed mood: Evidence of deficits in initiative. J Exp Psychol Gen 1990;119:45-59. |
|25.||Danion JM, Kauffmann-Muller F, Grange D, Zimmermann MA, Greth P. Affective valence of words, explicit and implicit memory in clinical depression. J Affect Disord 1995;34:227-34. |
|26.||Denny EB, Hunt RR. Affective valence and memory in depression: Dissociation of recall and fragment completion. J Abnorm Psychol 1992;101:575-80. |
|27.||Bazin N, Perruchet P, De Bonis M, Féline A. The dissociation of explicit and implicit memory in depressed patients. Psychol Med 1994;24:239-45. |
|28.||Sheline YI, Wang PW, Gado MH, Csernansky JG, Vannier MW. Hippocampal atrophy in recurrent major depression. Proc Natl Acad Sci U S A 1996;93:3908-13. |
|29.||Whitehead A. Verbal learning and memory in elderly depressives. Br J Psychiatry 1973;123:203-8. |
|30.||Atkinson RC, Shiffrin LR. Human memory: A proposed system and its control processes. In: Spence KW, Spence JT, editors. Advances in the Psychology of Learning and Motivation Research and Theory. Vol. II. New York: Academic Press; 1968. |
|31.||Craik FI, Lockhart RS. Levels of processing: A framework for memory research. J Verbal Learning Verbal Behav 1972;11:671484. |
|32.||Weingartner H. Automatic and effort-demanding cognitive processes in depression. In: Poon L, editor. Handbook for Clinical Memory Assessment of Older aduhs. Washington: American Psychological Association; 1986. p. 218-25. |
|33.||Hasher L, Zacks RT. Automatic and effortful processes in memory. J Exp Psychol Gen 1979;108:356-88. |
|34.||Heaton RK. Wisconsin Card Sorting Test. Odessa: Psychological Assessment Resources; 1981. |
|35.||Hart RP, Kwentus JA, Wade JB, Hamer RM. Digit symbol performance in mild dementia and depression. J Consult Clin Psychol 1987;55:236-8. |
|36.||La Rue A. Patterns of performance on the fuld object memory evaluation in elderly in patients with depression or dementia. J Clin Exp Neuropsychol 1989;11:409-22. |
|37.||La Rue A, D′Elia LF, Clark EO, Spar JE, Jarvik LF. Clinical tests of memory in dementia, depression and healthy aging. Psychol Aging 1986;1:69-77. |
|38.||Dannenbaum SE, Parkinson SR, 8c Inman VW. Short-term forgetting: Comparisons between patients with dementia of the Alzheimer type, depressed and normaI eideriy. Cognitive Neuropsychology. 1988;5:213-33 . |
|39.||Hart RP, Kwentus JA, Leshncr RT, Frazier R. Information processing speed in Friedreich′s ataxia. Ann Neurol 1985;17:612-4. |
|40.||Hart RP, Kwentus JA, Hamer RM, Taylor JR. Selective reminding procedure in depression and dementia. Psychol Aging 1987a;2:111-5. |
|41.||Niederehe G. Depression and memory impairment in the aged. In: Poon L, editor. Handbook for Clinical Memory Assessment of Older Adults. Washington: American Psychological Association; 1986. 226-37. |
|42.||Tulving E. Episodic and semantic memory. In: Tulving E, Donaldson W, editor. Organization of Memory. New York: Academic Press; 1972. |
|43.||Hart RP, Kwentus JA. Psychomotor slowing and subcortical-type dysfunction in depression. J Neurol Neurosurg Psychiatry 1987;50:1263-6. |
|44.||Miller E, Lewis P. Recognition memory in elderly patients with depression and dementia: A signal detection analysis. J Abnorm Psychol 1977;86:84-6. |
|45.||Kaplan EF, Goodglass H, Weintraub S. The Boston Naming Test. Philadelphia: Lea and Febiger; 1983. |
|46.||Hart RP, Kwentus JA, Taylor JR, Hamer RM. Productive naming and memory in depression and Alzheimer′s type dementia. Arch Clin Neuropsychol 1988;3:313-22. |
|47.||Emery OB, Breslau LD. Language deficits in depression: Comparisons with SDAT and normal aging. J Gerontol 1989;44:M85-92. |
|48.||Martin A, Fedio P. Word production and comprehension in Alzheimer′s disease: The breakdown of semantic knowledge. Brain Lang 1983;19:124-41. |
|49.||Speedie L, Rabins P, Pearlson G, Moberg P. Confrontation naming deficit in dementia of depression. J Neuropsychiatry Clin Neurosci 1990;2:59-63. |
|50.||Fischer P, Simanyi M, Danielczyk W. Depression in dementia of the Alzheimer type and in multi-infarct dementia. Am J Psychiatry 1990;147:1484-7. |
|51.||McIntyre RS, Cha DS, Soczynska JK, Woldeyohannes HO, Gallaugher LA, Kudlow P, et al. Cognitive deficits and functional outcomes in major depressive disorder: Determinants, substrates, and treatment interventions. Depress Anxiety 2013;30:515-27. |
|52.||Risse SC, Raskind MA, Nocblin D, Sumi SM. Neuropathological findings in patients with clinical diagnoses of probable Alzheimer′s disease. Am J Psychiatry 1990;147:168-72. |
|53.||Ron MA, Toone BK, Garralda ME, Lishman WA. Diagnostic accuracy in pre-senile dementia. Br J Psychiatry 1979;134:161-8. |
|54.||Garcia CA, Redmg MJ, Blass JP. Overdiagnosis of dementia. J Am Geriatr Soc 1981;29:407-10. |
|55.||Heston LL, Mastri AR. Age at onset of Pick′s and Alzheimer′s dementia: Implications for diagnosis and research. J Gerontol 1982;37:422-4. |
|56.||Small GW, Liston EH, Jarvik LF. Diagnosis and treatment of dementia in the aged geriatric medicine. West J Med 1981;135:469-81. |
|57.||Murphy FC, Sah akian BJ, Rubinsztein JS, Michael A, Rogers RD, Robbins TW, et al. Emotional bias and inhibitory control processes in mania and depression. Psychol Med 1999;29:1307-21. |
|58.||Kaszniak AW. Neuropsychological consultation to geriatricians: Issues in the assessment of memory complaints. Clin Neuropsychol 1987;1:35-46. |
|59.||Caine ED. The neuropsychology of depression: The pseudodementia syndrome. In: Grant KA, editor. Neuropsychological Assessment of Neuropsychiatric Disorders. New York: Oxford University Press; 1986. p. 221-43. |
|60.||Sternberg S. Memory scanning: New findings and current controversies. Q J Exp Psychol 1975;27:1-32. |
|61.||Channon S. Executive dysfunction in depression: The Wisconsin Card Sorting Test. J Affect Disord 1996;39:107-14. |
|62.||Channon S, Green PS. Executive function in depression: The role of performance strategies in aiding depressed and non-depressed participants. J Neurol Neurosurg Psychiatry 1999;66:162-71. |
|63.||Beck AT. Thinking and depression. Arch Gen Psychiatry 1963;9:324-33. |
|64.||Bornstein RA, Termeer I, Longbrake K, Heger M, North R. WAIS-R cholinergic deficit profile in depression. Psychological Assessment: A Journal of Consulting and Clinical Psychology 1989;1:342-4. |
|65.||Fuld PA. Test profile of cholinergic dysfunction and of Alzheimer type dementia. J Clin Neuropsychol 1984;6:380-92. |
|66.||Satz P, VanGorp WG, Soper HV, Mitrushma M. A WAIS-R marker for dementia of the Alzheimer type? An empirical and statistical induction test. J Clin Exp Neumpsychol 1987;9:767-74. |
|67.||Gray JW, Rattan AI, Dean RS. Differential diagnosis of dementia and depression in the elderly using neuropsychologicai methods. Arch Clin Neuropyschol 1986;1:341-9. |
|68.||McCue M, Goldstein G, Shelly C. The application of a short form of the Luria-Nebraska Neuropsychological Battery to discrimination between dementia and depression in the elderly. Int J Clin Neumpsychol 1989;11:21-9. |
|69.||Kiernan RJ, Mueller J, Langston JW, Van Dyke C. The Neurobehavioral Cognitive Status Examination: A brief but quantitative approach to cognitive assessment. Ann Intern Med 1987;107:481-5. |
|70.||Benton AL, Hamsher K, Sivan AB. Multilingual Aphasia Examination. (3 rd ed.) AJA Associates, Iowa City, IA (1994). |
|71.||Sáez-Fonseca JA, Lee L, Walker Z. Long-term outcome of depressive pseudodementia in the elderly. J Affect Disord 2007;101:123-9. |
|72.||Paradiso S, Lamberty GJ, Garvey MJ, Robinson RG. Cognitive impairment in the euthymic phase of chronic unipolar depression. J Nervous Ment Dis 1997;185:748-54. |
|73.||Marcos T, Salamero M, Gutierrez F, Catalán R, Gasto C, Lázaro L. Cognitive dysfunction in recovered melancholic patients. J Affect Disord 1994;32:133-7. |
|74.||Abas MA, Sahakian BJ, Levy R. Neuropsychological deficits and CT scan changes in elderly depressives. Psychol Med 1990;20:507-20. |
|75.||Sternberg DE, Jarvik ME. Memory functions in depression. Arch Gen Psychiatry 1976;33:219-24. |
|76.||Calev A, Korin Y, Shapira B, Kugelmass S, Lerer B. Verbal and non-verbal recall by depressed and euthymic affective patients. Psychol Med 1986;16:789-94. |
|77.||Bazin N, Perruchet P, De Bonis M, Féline A. The dissociation of explicit and implicit memory in depressed patients. Psychol Med 1994;24:239-45. |
|78.||Trichard C, Martinot JL, Alagille M, Masure MC, Hardy P, Ginestet D, et al. Time course of prefrontal lobe dysfunction in severely depressed in patients: A longitudinal neuropsychological study. Psychol Med 1995;25:79-85. |
|79.||Peselow ED, Corwin J, Fieve RR, Rotrosen J, Cooper TB, et al. Disappearance of memory deficits in outpatient depressives responding to imipramine. J Affect Disord 1991;21:173-83. |
|80.||Kessing LV. Cognitive impairment in the euthymic phase of affective disorder. Psychol Med 1998;28:1027-38. |
|81.||Buschke H. Selective reminding for analysis of memory and learning. Journal of Verbal Learning and Verbal Behavior, 1973;12:543550. |
|82.||Wechsler D. Manual for the Wechsler Adult Intelligence Scale - Revised. Psychological Corporation, New York 1981. |
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