Differences In Cognitive Profiles Research Articles

Beyond the Gender Binarism: Neural Correlates of Trans Men in a Functional Connectivity–Resting-State fMRI Pilot Study

Introduction: Several studies have investigated the specific neural correlates of trans people, highlighting mixed results. This study aimed to compare the presence of specific functional connectivity and differences in cognitive profile and hormone levels in trans men diagnosed with gender dysphoria (GD), and a homogeneous group of cisgender men and cisgender women. Methods: A total of 42 participants (19 trans men, 11 cisgender men, and 12 cisgender women) underwent a resting state fMRI and were measured for blood levels of testosterone, estradiol, and progesterone. A neuropsychological battery evaluated executive functions, attention, visual-perceptual ability, verbal fluency, manual preference, and general intelligence. Results: Trans men showed weaker functional connectivity in the precentral gyrus, subcallosal cortex, paracingulate gyrus, temporal pole, and cingulate gyrus than cisgender men (p < 0.01). Trans men performed worse than cisgender men in verbal and visuospatial working memory but similarly to cisgender women (p < 0.05). In trans men, functional connectivity of the precentral gyrus correlated positively with testosterone (r = 0.459, p = 0.064) and negatively with estradiol (r = −0.654, p = 0.004) and progesterone blood levels (r = −0.475, p = 0.054). The cluster involving the subcallosal cortex showed a positive correlation with testosterone (r = 0.718, p = 0.001), and a negative correlation with estradiol (r = −0.602, p = 0.011). The functional connectivity from a cluster involving the paracingulate gyrus showed a positive correlation with testosterone (r = 0.592, p = 0.012). Conclusions: This study highlights the importance of overpassing the binary model by underlining the presence of neural pathways that could represent the peculiarity of the neural profile of people with GD.

Genetic background of cognitive decline in Parkinson's disease

Parkinson's disease (PD) is a complex disorder that is influenced by multiple genetic risk factors. There is a significant heterogeneity in PD presentation, both pathologically and clinically. Some of the most common and important symptoms affecting the patient are cognitive impairment and dementia. However, the genetic and biological basis underlying the differences in cognitive profiles, including the development of dementia in PD, is not yet well understood. Understanding the role of genes in cognitive outcomes is crucial for effective patient counseling and treatment. Research on familial PD has discovered more than 20 genes that can cause the disease. The identified genes responsible for familial cases of PD are LRRK2, PARK7, PINK1, PRKN, or SNCA gene, although there may be other genes that also contribute. Additionally, some of these genes may also play a role in cases that were previously thought to be sporadic. Currently, numerous well-described genes increase the risk of cognitive decline in PD, each with varying levels of penetrance. The aim of this review is to identify the relevant genetic factors that contribute to differences in cognition. We discuss the genes that may affect cognition and the challenges in establishing a clear genetic diagnostic and prognostic assessment. This article aims to demonstrate the complexity of the genetic background of cognition in PD and to present the different types of genotype changes that can impact cognition through various neurobiological mechanisms.

Cognitive Profile and Cardiovascular Risk Factors in Older Adults with Mild Cognitive Impairment.

The prevalence of cardiovascular risk factors (CVRFs) in the older adults population and their specific impact on their cognitive profiles still requires further research. For this purpose, a cross-sectional study was carried out to describe the presence of CVRFs and their association with cognitive performance in a sample of older adults (65-85 years old) with Mild Cognitive Impairment (MCI). Participants (n = 185) were divided into three groups concerning their cardiovascular risk level determined by the presence of different CVRFs, including Type 2 Diabetes (T2D), dyslipidemia, hypertension, and obesity. The primary outcome measures were the participant's scores in the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Sociodemographic, clinical, and psychosocial data were collected. Non-parametrical statistical analyses and effect sizes were calculated. Findings revealed that a greater presence of CVRFs was not associated with a worse overall cognitive performance. High-risk patients were more likely to have significantly worse performance in the attentional domain compared to medium-risk (p = 0.029, r = 0.42) and compared to low-risk (p = 0.041, r = 0.35), specifically in the digits repetition subtest (p = 0.042). T2D alone was the CVRF associated with cognitive differences (p = 0.037, r = 0.32), possibly mediated by the duration of the condition. Consequently, a higher presence of CVRFs did not lead to a worse overall cognitive performance. However, high-risk individuals were more likely to experience cognitive impairment, particularly in the attentional domain. T2D played a significant role in these cognitive profile differences, possibly influenced by its duration.

Cognitive profile of idiopathic normal pressure hydrocephalus (INPH)

AbstractBackgroundCognitive deficits in people with idiopathic normal pressure hydrocephalus (INPH) are thought to differ from Alzheimer’s dementia (AD) but this has not been systematically explored.MethodWe undertook a systematic review and meta‐analysis. Peer‐reviewed studies publishing new data, with defined diagnostic criteria for INPH, and using formal cognitive tools were included. Quality was assessed using the Newcastle‐Ottawa Scale. Weighted mean difference (WMD) in score was calculated using random‐effects meta‐analysis for cognitive tests used in at least 2 studies. We assessed heterogeneity using I2. Sensitivity analyses explored results according to global cognition.Result13 studies met inclusion criteria. Participants with INPH had a pooled weighted MMSE score of 22.6 (95% confidence interval (CI) 21.3‐23.9). Studies were divided into those that matched AD participants to INPH participants for global cognition or selected mild AD (n = 6) and those that did not (n = 7). Participants with INPH performed better on the Boston Naming Task across all studies (n = 2; WMD: 1.41; 95% CI: 0.50, 2.31; I2 47%). There were no significant differences in semantic or phonemic fluency, delayed verbal recall, digit span backwards or forwards, or constructional praxis between AD and INPH across all studies. However, sensitivity analyses examining INPH participants compared to mild or matched AD showed significantly worse performance in INPH for semantic (n = 3; WMD: ‐1.37; 95% CI: ‐2.19, ‐0.55; I2 0%) and phonemic fluency (n = 3; WMD: ‐5.18; 95% CI: ‐6.95, ‐3.41; I2 0%), and in the Frontal Assessment Battery (n = 3; WMD: ‐2.33 points; 95% CI: ‐3.30, ‐1.36; I2 0%). Worse performance was also seen on sensitivity analysis in digit span backward (MD: ‐0.70; 95% CI: ‐1.20, ‐0.20) and constructional praxis (MD: ‐0.50; 95% CI: ‐0.90, ‐0.10) but only 1 study was available for each test.ConclusionIn this meta‐analysis, people with INPH tended to score within the mild dementia range on global cognitive testing. There were observable differences in cognitive profile between INPH and AD. People with INPH may have less aphasia but score significantly lower on tests of executive function than people with mild AD. These results could inform identification of INPH in memory services.

Older adults with lower working memory capacity benefit from transcranial direct current stimulation when combined with working memory training: A preliminary study.

Aging is a very diverse process: successful agers retain most cognitive functioning, while others experience mild to severe cognitive decline. This decline may eventually negatively impact one’s everyday activities. Therefore, scientists must develop approaches to counteract or, at least, slow down the negative change in cognitive performance of aging individuals. Combining cognitive training and transcranial direct current stimulation (tDCS) is a promising approach that capitalizes on the plasticity of brain networks. However, the efficacy of combined methods depends on individual characteristics, such as the cognitive and emotional state of the individual entering the training program. In this report, we explored the effectiveness of working memory training, combined with tDCS to the right dorsolateral prefrontal cortex (DLPFC), to manipulate working memory performance in older individuals. We hypothesized that individuals with lower working memory capacity would benefit the most from the combined regimen. Thirty older adults took part in a 5-day combined regimen. Before and after the training, we evaluated participants’ working memory performance with five working memory tasks. We found that individual characteristics influenced the outcome of combined cognitive training and tDCS regimens, with the intervention selectively benefiting old-old adults with lower working memory capacity. Future work should consider developing individualized treatments by considering individual differences in cognitive profiles.

Transdiagnostic and sex differences in cognitive profiles of autism spectrum disorder and attention-deficit/hyperactivity disorder.

An increasing number of studies have shown that autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) share symptoms and aetiologies. However, transdiagnostic comparisons between ASD and ADHD is complicated due to the sex differences within each condition. To clarify the similarities and differences in the cognitive functioning between ASD and ADHD, while considering potential sex differences, this study compared cognitive profiles assessed by the WAIS-III between the four groups created by orthogonally combining diagnosis and sex based on the data from 277 ASD males, 86 ASD females, 99 ADHD males and 64 ADHD females. The analysis revealed three major findings. First, performance IQ and perceptual organization index were higher in ADHD males than in ASD males and ADHD females. Second, Gaussian mixture model fitting revealed two clusters underlying the distribution of subindex scores. The percentage of being classified into the cluster that scored lower in all the subindices was higher in females than in males irrespective of diagnosis. Third, feature importance for classification of ASD and ADHD yielded by random forest classifier, a supervised machine learning algorithm, revealed that autism quotient was most informative feature in classifying ASD and ADHD in males, while the discrepancy between verbal and performance intelligence quotient was in females, indicating that the set of behavioral features contributing to classification differs between males and females. Thus, these findings indicate that sex as well as diagnosis is critical in determining the cognitive profiles of people with ASD and ADHD. LAY SUMMARY: The present study compared profiles of cognitive functions measured by Wechsler Adult Intelligence Scale between males and females with ASD and ADHD. The analyses revealed clear sex differences in cognitive functions in both ASD and ADHD and that the set of cognitive functions useful in classifying ASD and ADHD differed between males and females. Thus, biological sex seems to be a critical factor in determining the cognitive profiles of people with ASD and ADHD.

Quantitative digital clock drawing test as a sensitive tool to detect subtle cognitive impairments in early stage Parkinson's disease

IntroductionThe prevalence of subtle cognitive decline in the early stages of Parkinson's Disease (PD) is common and is thought to be even greater in patients carrying genetic mutations in the GBA gene. Current cognitive tests often lack sensitivity to identify subtle impairments. Technological advancements may offer greater precision. We explored the utility of a digitized cognitive clock-drawing test to assess cognition in patients with PD compared to healthy controls (HC) and its sensitivity compared to that of standardized neuropsychological tests. Further, we investigated the existence of a cognitive profile based on genotype. MethodsThe study included 75 early stage PD patients (24 with GBA-PD, 23 LRRK2-PD, 28 idiopathic PD cases) and 59 HC. Participants underwent a cognitive assessment which included the Montreal Cognitive Assessment (MoCA), the Color Trails Test (CTT) and a digital clock drawing test (DCTclock). ResultsPatients with PD presented lower scores than HC on all cognitive tests. The DCTclock best discriminated PD from HC (AUC: 0.807) compared to the MoCA (0.590) and CTT (0.636 and 0.717 for CTT-1 and CTT-2 respectively). In-depth quantitative analysis of the DCTclock revealed that LRRK2-PD showed better performance than other PD sub-groups. ConclusionThe use of quantitative digital cognitive assessment showed greater sensitivity in identifying subtle cognitive decline than the current standardized tests. Differences in cognitive profiles were observed based on genotype. The identification of early cognitive decline may improve the clinical management of PD patients and be useful for cognitive related clinical trials.

Differences in Cognitive Profile of Psychogenic Nonepileptic and Epileptic Seizure Patients

Differences in Cognitive Profile of Psychogenic Nonepileptic and Epileptic Seizure Patients

Neurocognition Function of Patients With Bipolar Depression, Unipolar Depression, and Depression With Bipolarity.

Much evidence shows that some Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5)-defined unipolar depression (UD) with bipolarity manifests bipolar diathesis. Little is known about the cognitive profiles of patients with depression with bipolarity (DWB). The study aimed to investigate the differences in cognitive profiles among patients with bipolar depression (BD), major depressive disorder (namely, UD), and DWB. Drug-naïve patients with BD, UD, and DWB and healthy controls (HC) were recruited (30 cases in each group). Cognitive function was evaluated by THINC-it (THINC-intelligent tool), Wisconsin Card Sorting Test (WCST), and continuous performance test (CPT). For THINC-it, no significant differences of the Z-scores in both objective and subjective factors were found between the DWB group and BD group, but the Z-scores in the BD group were significantly lower than those in the UD group. For WCST, significant differences were found between the BD group and DWB group in the number of responses, categories completed, trails to completed first category, perseverative responses, and perseverative errors. All the indices of WCST in the DWB group were significantly worse than those in the UD group except for trails to completed first category and total number of response correct. For CPT, only scores of leakage responses and false responses in the four-digit number in the BD group and DWB group were significantly higher than those in the UD group; no significant difference was found between the BD group and DWB group. The results indicated that patients with DWB might perform differently from those with UD but similarly to those with BD with cognition impairment.

A Graph Theory Approach to Clarifying Aging and Disease Related Changes in Cognitive Networks.

In accordance with the physiological networks that underlie it, human cognition is characterized by both the segregation and interdependence of a number of cognitive domains. Cognition itself, therefore, can be conceptualized as a network of functions. A network approach to cognition has previously revealed topological differences in cognitive profiles between healthy and disease populations. The present study, therefore, used graph theory to determine variation in cognitive profiles across healthy aging and cognitive impairment. A comprehensive neuropsychological test battery was administered to 415 participants. This included three groups of healthy adults aged 18–39 (n = 75), 40–64 (n = 75), and 65 and over (n = 70) and three patient groups with either amnestic (n = 75) or non-amnestic (n = 60) mild cognitive impairment or Alzheimer’s type dementia (n = 60). For each group, cognitive networks were created reflective of test-to-test covariance, in which nodes represented cognitive tests and edges reflected statistical inter-nodal significance (p < 0.05). Network metrics were derived using the Brain Connectivity Toolbox. Network-wide clustering, local efficiency and global efficiency of nodes showed linear differences across the stages of aging, being significantly higher among older adults when compared with younger groups. Among patients, these metrics were significantly higher again when compared with healthy older controls. Conversely, average betweenness centralities were highest in middle-aged participants and lower among older adults and patients. In particular, compared with controls, patients demonstrated a distinct lack of centrality in the domains of semantic processing and abstract reasoning. Network composition in the amnestic mild cognitive impairment group was similar to the network of Alzheimer’s dementia patients. Using graph theoretical methods, this study demonstrates that the composition of cognitive networks may be measurably altered by the aging process and differentially impacted by pathological cognitive impairment. Network alterations characteristic of Alzheimer’s disease in particular may occur early and be distinct from alterations associated with differing types of cognitive impairment. A shift in centrality between domains may be particularly relevant in identifying cognitive profiles indicative of underlying disease. Such techniques may contribute to the future development of more sophisticated diagnostic tools for neurodegenerative disease.

Recognition memory and divergent cognitive profiles in prodromal genetic frontotemporal dementia

Although executive dysfunction is the characteristic cognitive marker of behavioral variant frontotemporal dementia (bvFTD), episodic memory deficits are relatively common, and may be present even during the prodromal disease phase. In a cohort of mutation carriers with mild behavioral and/or cognitive symptoms consistent with prodromal bvFTD, we aimed to investigate patterns of performance on an abbreviated list learning task, with a particular focus on recognition memory. We further aimed to characterize the cognitive prodromes associated with the three major genetic causes of frontotemporal dementia, as emerging evidence suggests there may be subtle differences in cognitive profiles among carriers of different genetic mutations. Participants included 57 carriers of a pathogenic mutation in microtubule-associated protein tau (MAPT, N = 23), or progranulin (GRN, N = 15), or a or a hexanucleotide repeat expansion in chromosome 9 open reading frame 72 (C9orf72, N = 19), with mild cognitive and/or behavioral symptoms consistent with prodromal bvFTD. Familial non-carriers were included as controls (N = 143). All participants completed a comprehensive neuropsychological examination, including an abbreviated list learning test assessing episodic memory recall and recognition. MAPT mutation carriers performed worse than non-carriers in terms of list recall, and had difficulty discriminating targets from distractors on the recognition memory task, primarily due to the endorsement of distractors as targets. MAPT mutation carriers also showed nonverbal episodic memory and semantic memory dysfunction (object naming). GRN mutation carriers were variable in performance and overall the most dysexecutive. Slowed psychomotor speed was evident in C9orf72 repeat expansion carriers. Identifying the earliest cognitive indicators of bvFTD is of critical clinical and research importance. List learning may be a sensitive cognitive marker for incipient dementia in MAPT and potentially a subset of GRN carriers. Our results highlight that distinct cognitive profiles may be evident in carriers of the three disease-causing genes during the prodromal disease stage.

Affective and non-affective cognition in patients with bipolar disorder type I and type II in full or partial remission: Associations with familial risk

BackgroundThe upcoming conversion of the ICD-11 will subdivide patients with bipolar disorder (BD) into BD type I (BD-I) and BD type II (BD-II). This study aimed to investigate whether cognitive impairments could aid as objective cognitive biomarkers for recently diagnosed BD subtypes by comparing cognitive profiles between BD subtypes, their unaffected relatives (UR), and healthy controls (HC). MethodsThe sample included 76 patients with BD-I, 149 patients with BD-II, 28 UR of patients with BD-I (UR-I), 50 UR of patients with BD-II (UR-II) and 168 HC from the Bipolar Illness Onset study, who were assessed with an extensive non-affective and affective cognitive test battery. ResultsThe results showed no significant differences in affective or non-affective cognition between BD-I and BD-II. Compared to HC, patients with BD-I (but not BD-II) showed worse performance in verbal fluency (p = .01) and were slower at recognising fearful faces (p = .045), while patients with BD-II (but not BD-I) displayed generally poorer recognition of facial expressions (p = .02). Only UR-I showed lower performance on verbal fluency (p = .049) and aberrant affective cognition (ps≤.047) compared to HC. LimitationsThe potential confounding effects of medication were not explored. ConclusionsThe lack of significant differences in cognitive profiles between recently diagnosed BD-I and BD-II suggests that neither affective nor non-affective cognition are indicative of BD subtype.

Different profiles of cognitive deficits predict progression rate in probable AD

AbstractBackgroundHeterogeneity in the pattern of cognitive deficits seen in probable AD patients is well recognized. Two reliably reproducible profiles are ones that have an extreme deficit in either visuo‐spatial (Vis‐D) or language (Lang‐D) domains compared to all other domains, independent of memory performance. Information on variability in progression rates and overall survival associated with these profiles is lacking.MethodRight handed probable AD patients followed longitudinally in a memory clinic, 50‐90 years old with baseline MMSE score ≥10, were classified as Vis‐D or Lang‐D if their scores on tests of visual and language function varied by ≥ 2 standard deviations. Proportional hazards analysis was used to compare time to reach an MMSE &lt; 10, CDR global score=3, and survival time from diagnosis to death in Vis‐D, Lang‐D and balanced deficits (Bal‐D) groups, adjusting for age, sex, education, ethnicity, baseline co‐morbidity, and APOE genotype.ResultOf 540 patients meeting inclusion criteria, 86 (15.9%) were Vis‐D and 61 (11.3%) were Lang‐D. Median follow‐up time after baseline was 3.30 years (range 0.9, 13.3) and median time to death was 5.50 years (range=1.0, 16.8). The Vis‐D group was younger at diagnosis and had a higher prevalence of APOE e4 homozygosity than the Lang‐D and Bal‐D groups (69.8±8.5 vs 76.3±7.1 and 75.0±7.5 years and 25.9% vs 10.2% and 14.1% APOE e4 homozygosity respectively). Lang‐D patients reached a severe stage on the MMSE more rapidly than Vis‐D and Bal‐D (HRLang‐d vs Bal‐D=1.68, 95% CI=0.99‐2.73, p=.054; HRLang‐D vs Vis‐D=2.04, 95% CI=1.06‐3.78, p=.032). Results for the CDR endpoint were similar (HRLang‐D vs Bal‐D=1.64, 95% CI=1.04‐2.56, p=.032; HRLang‐D vs Vis‐D=2.32, 95%CI=1.40‐4.57, p=.002). Cognitive profile did not affect time to death.ConclusionProbable AD patients with a Lang‐D cognitive profile decline faster on the MMSE and CDR than those with other cognitive profiles. Cognitive profile at diagnosis does not affect overall survival. Understanding the neuropathology underlying these cognitive profile differences could have implications for development or selection of disease modifying treatments.

Fibrinogen Levels and Cognitive Profile Differences in Patients with Mild Cognitive Impairment

Background: Fibrinogen is considered a marker of vascular pathology, indicating a weakened blood-brain barrier, and has a causative role in neuroinflammation and neurodegeneration. Little is known about the relationship between fibrinogen levels and cognitive function in patients with mild cognitive impairment (MCI). We aimed to investigate differences in cognitive profiles according to plasma fibrinogen levels in patients with MCI and the influence of plasma fibrinogen levels on cognitive decline. Methods: This retrospective cohort study included 643 patients with MCI: 323 patients in the high fibrinogen (high fib) group and 320 patients in the low fibrinogen (low fib) group. A multiple linear regression model was performed to compare cognitive test performance between groups. The Cox proportional hazard model was used to analyze the hazard ratio of fibrinogen level for disease progression. Results: The high fib group demonstrated poorer performance in attention, executive function, and confrontation naming than the low fib group. After adjustment for APOE genotype, the high fib group was associated with poor attention and executive function. After adjustment for vascular risk factors including body mass index, hypertension, diabetes mellitus, dyslipidemia, and smoking history, the high fib group showed declined attention and confrontation naming ability. High fibrinogen levels did not predict disease progression to CDR 1. Conclusion: High plasma fibrinogen levels were associated with poor performance in attention in patients with MCI, regardless of APOE genotype or vascular risk factors.

Teaching Analogical Reasoning With Co-speech Gesture Shows Children Where to Look, but Only Boosts Learning for Some.

In general, we know that gesture accompanying spoken instruction can help children learn. The present study was conducted to better understand how gesture can support children’s comprehension of spoken instruction and whether the benefit of teaching though speech and gesture over spoken instruction alone depends on differences in cognitive profile – prior knowledge children have that is related to a to-be-learned concept. To answer this question, we explored the impact of gesture instruction on children’s analogical reasoning ability. Children between the ages of 4 and 11 years solved scene analogy problems before and after speech alone or speech and gesture instruction while their visual attention was monitored. Our behavioral results suggest a marginal benefit of gesture instruction over speech alone, but only 5-year-old children showed a distinct advantage from speech + gesture instruction when solving the post-instruction trial, suggesting that at this age, children have the cognitive profile in place to utilize the added support of gesture. Furthermore, while speech + gesture instruction facilitated effective visual attention during instruction, directing attention away from featural matches and toward relational information was pivotal for younger children’s success post instruction. We consider how these results contribute to the gesture-for-learning literature and consider how the nuanced impact of gesture is informative for educators teaching tasks of analogy in the classroom.

A-062 Cognitive Profiles in Athletes with Neurodevelopmental Disorders on Baseline Testing

Abstract Objective The Immediate Post-concussion Assessment and Cognitive Testing (ImPACT) is a commonly utilized sport concussion assessment. Previous literature examined differences in concussion rates, symptom scores, and invalid baselines between healthy athletes and athletes with neurodevelopmental disorders. There are no current studies that investigate cognitive profiles of athletes with autism. The present study explores possible differences in ImPACT performance for these athletes. Method Participants included 31,368 high school athletes (mean age = 15.0, SD = 1.2; mean education = 9.0; SD = 1.4; 43.9% female) selected from a larger database who completed baseline ImPACT testing from 2008–2016. Self-reported neurodevelopmental history consisted of these distinct groups: attention-deficit/hyperactivity disorder (ADHD; 3.6%), learning disorders (LD; 1.3%), Autism (0.3%), ADHD/LD (0.6%). ImPACT Composite Scores were analyzed using Mixed-model ANCOVA (age and gender covariates)-Verbal Memory (VerbM), Visual Memory (VisM), Visual Motor Speed (VisMot), Reaction Time (RT), and Impulse Control (IC). Composites were standardized and RT was reverse coded. For comparison purposes, individuals from all neurodevelopmental groups were utilized. Results There was a main effect for Composites and neurodevelopmental history (p &amp;lt; .01). An interaction effect between Composites and neurodevelopmental history was found (p &amp;lt; .01). The Autism group scored significantly lower than healthy athletes on VerbM, VisM, VisMot, and RT. No difference was found for IC. Pattern differences between neurodevelopmental groups will also be reported. Discussion Results reveal cognitive profile differences for athletes with Autism and other neurodevelopmental disorders. The ImPACT provides normative data for LD and ADHD athletes; however, our results indicate similar pattern differences for Autism and ADHD/LD. Future research should investigate whether separate norms may be beneficial for these groups.

Defining cognitive profiles of depressive patients using the Brief Assessment of Cognition in Affective Disorders.

BackgroundCognitive impairments in patients with depressive disorders have a negative impact on their daily skill functioning and quality of life. In this study, we evaluated the cognitive profiles and associated factors of patients with depressive disorders with the Brief Assessment of Cognition in Affective Disorders (BAC-A).MethodsThis cross-sectional study consisted of 75 patients with depressive disorders (56 patients with major depressive disorder (MDD) and 19 patients with depressive disorder NOS or dysthymic disorder (non-MDD)). We evaluated the participants’ cognitive functions at euthymic status using the BAC-A. The BAC-A includes six subtests derived from the Brief Assessment of Cognition in Schizophrenia (BAC-S) and Affective Processing Tests. The current severity of depressive symptoms was assessed with the 17-item Hamilton Depression Rating Scale (HAMD-17), and we recorded any psychotropic drugs being used by the patients.ResultsWe observed no differences in cognitive profiles in the MDD group and non-MDD group after adjusting for educational levels, severity of depression, and psychotropic drugs. Instead, the HAMD-17 scores were negatively correlated to cognitive performance in working memory, motor speed, verbal fluency, attention and processing speed, executive function, composite score, and the six indexes of the Affective Processing Test measured by the BAC-A. A longer illness duration was associated with worse performance of four indexes of the Affective Processing Test. Furthermore, benzodiazepine use was associated with a worse performance of verbal memory, and antidepressant use was associated with better motor speed performance.ConclusionThe current severity of depressive symptoms and psychotropic drugs being taken, not the diagnosis category, are associated with cognitive impairments in patients with depressive disorders. Clinicians should pay particular attention to managing residual depressive symptoms and prescribing adequate psychotropic drugs in order to eliminate depressive patients’ cognitive deficits.

Cognitive profiles in major depressive disorder: Comparing remitters and non-remitters to rTMS treatment

Major Depressive Disorder (MDD) is typically accompanied by cognitive impairment. Repetitive Transcranial Magnetic Stimulation (rTMS) treatment for MDD involves stimulation of the dorsolateral prefrontal cortex which plays an important role in cognition. This study aimed to identify differences in cognitive profiles between remitters and non-remitters to rTMS at baseline and across treatment. 25 patients with MDD performed cognitive tasks at baseline and after 6, 12 and 30 sessions of rTMS. At baseline, there was no difference in simple reaction time (RT) between groups, but remitters (n = 13) showed faster RTs than non-remitters (n = 12) in the Switch and No-Switch conditions of Task Switching. Across sessions, remitters showed a decrease in 3-Back omission errors and RTs to 3-Back, Stroop's Congruent and Incongruent, and Task Switching's Switch and No-Switch conditions, whereas non-remitters only showed improvements in Stroop Congruent and Incongruent RTs. Baseline and final scores on the Hamilton Depression Rating Scale were positively correlated with Switch and No-Switch RTs. This study demonstrates that eventual remitters to rTMS treatment for MDD perform better in cognitive tasks requiring shifting attention, and this difference is observable prior to the start of treatment. Remitters also show improvement in both their mood and cognitive performance.

Cognitive Profiles of Finnish Preschool Children With Expressive and Receptive Language Impairment

The aim of this study was to compare the verbal and nonverbal cognitive profiles of children with specific language impairment (SLI) with problems predominantly in expressive (SLI-E) or receptive (SLI-R) language skills. These diagnostic subgroups have not been compared before in psychological studies. Participants were preschool-age Finnish-speaking children with SLI diagnosed by a multidisciplinary team. Cognitive profile differences between the diagnostic subgroups and the relationship between verbal and nonverbal reasoning skills were evaluated. Performance was worse for the SLI-R subgroup than for the SLI-E subgroup not only in verbal reasoning and short-term memory but also in nonverbal reasoning, and several nonverbal subtests correlated significantly with the composite verbal index. However, weaknesses and strengths in the cognitive profiles of the subgroups were parallel. Poor verbal comprehension and reasoning skills seem to be associated with lower nonverbal performance in children with SLI. Performance index (Performance Intelligence Quotient) may not always represent the intact nonverbal capacity assumed in SLI diagnostics, and a broader assessment is recommended when a child fails any of the compulsory Performance Intelligence Quotient subtests. Differences between the SLI subgroups appear quantitative rather than qualitative, in line with the new Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM V) classification (American Psychiatric Association, 2013).

A review of cognitive impairments in children with intellectual disabilities: Implications for cognitive behaviour therapy.

Nearly half of children with intellectual disability (ID) have comorbid affective disorders. These problems are chronic if left untreated and can significantly impact upon future vocational, educational, and social opportunities. Despite this, there is a paucity of research into effective treatments for this population. Notably, one of the most supported of psychological therapies, cognitive behaviour therapy (CBT), remains largely uninvestigated in children with ID. The current review considers the neuropsychological profile of children and adolescents with mild to moderate ID, with a view to informing how CBT might best be adapted for children and adolescents with ID. Narrative review of literature considering the neuropsychological profiles of children and adolescents with ID, with specific focus upon attention, memory, learning, executive functioning, and communication. Studies were identified through SCOPUS, PsycINFO, and PubMed databases, using combinations of the key words 'intellectual disability', 'learning disability', 'neuropsychology', 'attention', 'learning', 'memory', 'executive function', 'language', and 'reading'. Children with ID have significant deficits in attention, learning, memory, executive functions, and language. These deficits are likely to have a negative impact upon engagement in CBT. Suggestions for adapting therapy to accommodate these wide ranging deficits are proposed. There are multiple cognitive factors which need to be considered when modifying CBT for children who have ID. Furthermore, research is required to test whether CBT so modified is effective in this population. Clinical implications Effective ways of providing cognitive behavioural therapy (CBT) to children with intellectual disability (ID) is unclear. This study provides a framework of potential adaptations for clinical practice As rates of mental illness for children with intellectual disability are high, and rates of treatment provision low, it is hoped that the recommendations provided in this study will encourage more mental health practitioners to provide CBT to children with ID. Limitations These recommendations are based only upon neuropsychological literature. Trialling the effectiveness of an adapted form of CBT for children and adolescents with ID is required. There are varying causes of intellectual disability, with differences in cognitive profiles. The utility of the recommendations made here may vary according to specific aetiologies.