Different duration of at-risk mental state associated with neurofunctional abnormalities. A multimodal imaging study

Objectives: Neurofunctional alterations are correlates of vulnerability to psychosis, as well as of the disorder itself. How these abnormalities relate to different probabilities for later transition to psychosis is unclear. We investigated vulnerability‐ versus disease‐related versus resilience biomarkers of psychosis during working memory (WM) processing in individuals with an at‐risk mental state (ARMS). Experimental design: Patients with “first‐episode psychosis” (FEP, n = 21), short‐term ARMS (ARMS‐ST, n = 17), long‐term ARMS (ARMS‐LT, n = 16), and healthy controls (HC, n = 20) were investigated with an n‐back WM task. We examined functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging (sMRI) data in conjunction using biological parametric mapping (BPM) toolbox. Principal observations: There were no differences in accuracy, but the FEP and the ARMS‐ST group had longer reaction times compared with the HC and the ARMS‐LT group. With the 2‐back > 0‐back contrast, we found reduced functional activation in ARMS‐ST and FEP compared with the HC group in parietal and middle frontal regions. Relative to ARMS‐LT individuals, FEP patients showed decreased activation in the bilateral inferior frontal gyrus and insula, and in the left prefrontal cortex. Compared with the ARMS‐LT, the ARMS‐ST subjects showed reduced activation in the right inferior frontal gyrus and insula. Reduced insular and prefrontal activation was associated with gray matter volume reduction in the same area in the ARMS‐LT group. Conclusions: These findings suggest that vulnerability to psychosis was associated with neurofunctional alterations in fronto‐temporo‐parietal networks in a WM task. Neurofunctional differences within the ARMS were related to different duration of the prodromal state and resilience factors. Hum Brain Mapp 33:2281–2294, 2012. © 2011 Wiley Periodicals, Inc.     

Early recognition and disease prediction in the at-risk mental States for psychosis using neurocognitive pattern classification

Background: Neuropsychological deficits predate overt psychosis and overlap with the impairments in the established disease. However, to date, no single neurocognitive measure has shown sufficient power for a prognostic test. Thus, it remains to be determined whether multivariate neurocognitive pattern classification could facilitate the diagnostic identification of different at-risk mental states (ARMS) for psychosis and the individualized prediction of illness transition. Methods: First, classification of 30 healthy controls (HC) vs 48 ARMS individuals subgrouped into 20 "early," 28 "late" ARMS subjects was performed based on a comprehensive neuropsychological test battery. Second, disease prediction was evaluated by categorizing the neurocognitive baseline data of those ARMS individuals with transition (n = 15) vs non transition (n = 20) vs HC after 4 years of follow-up. Generalizability of classification was estimated by repeated double cross-validation. Results: The 3-group cross-validated classification accuracies in the first analysis were 94.2% (HC vs rest), 85.0% (early at-risk subjects vs rest), and, 91.4% (late at-risk subjects vs rest) and 90.8% (HC vs rest), 90.8% (converters vs rest), and 89.0% (nonconverters vs rest) in the second analysis. Patterns distinguishing the early or late ARMS from HC primarily involved the verbal learning/memory domains, while executive functioning and verbal IQ deficits were particularly characteristic of the late ARMS. Disease transition was mainly predicted by executive and verbal learning impairments. CONCLUSIONS: Different ARMS and their clinical outcomes may be reliably identified on an individual basis by evaluating neurocognitive test batteries using multivariate pattern recognition. These patterns may have the potential to substantially improve the early recognition of psychosis.     

No associations between medial temporal lobe volumes and verbal learning/memory in emerging psychosis

Grey matter (GM) volume alterations have been repeatedly demonstrated in patients with first episode psychosis (FEP). Some of these neuroanatomical abnormalities are already evident in the at‐risk mental state (ARMS) for psychosis. Not only GM alterations but also neurocognitive impairments predate the onset of frank psychosis with verbal learning and memory (VLM) being among the most impaired domains. Yet, their interconnection with alterations in GM volumes remains ambiguous. Thus, we evaluated associations of different subcortical GM volumes in the medial temporal lobe with VLM performance in antipsychotic‐naïve ARMS and FEP patients. Data from 59 ARMS and 31 FEP patients, collected within the prospective Früherkennung von Psychosen study, were analysed. Structural T1‐weighted images were acquired using a 3 Tesla magnetic resonance imaging scanner. VLM was assessed using the California Verbal Learning Test and its factors Attention Span, Learning Efficiency, Delayed Memory and Inaccurate Memory. FEP patients showed significantly enlarged volumes of hippocampus, pallidum, putamen and thalamus compared to ARMS patients. A significant negative association between amygdala and pallidum volume and Attention Span was found in ARMS and FEP patients combined, which however did not withstand correction for multiple testing. Although we found significant between‐group differences in subcortical volumes and VLM is among the most impaired cognitive domains in emerging psychosis, we could not demonstrate an association between low performance and subcortical GM volumes alterations in antipsychotic‐naïve patients. Hence, deficits in this domain do not appear to stem from alterations in subcortical structures.     

Normal aging modulates prefrontoparietal networks underlying multiple memory processes

A functional decline of brain regions underlying memory processing represents a hallmark of cognitive aging. Although a rich literature documents age‐related differences in several memory domains, the effect of aging on networks that underlie multiple memory processes has been relatively unexplored. Here we used functional magnetic resonance imaging during working memory and incidental episodic encoding memory to investigate patterns of age‐related differences in activity and functional covariance patterns common across multiple memory domains. Relative to younger subjects, older subjects showed increased activation in left dorso‐lateral prefrontal cortex along with decreased deactivation in the posterior cingulate. Older subjects showed greater functional covariance during both memory tasks in a set of regions that included a positive prefronto‐parietal‐occipital network as well as a negative network that spanned the default mode regions. These findings suggest that the memory process‐invariant recruitment of brain regions within prefronto‐parietal‐occipital network increases with aging. Our results are in line with the dedifferentiation hypothesis of neurocognitive aging, thereby suggesting a decreased specialization of the brain networks supporting different memory networks.     

Enhanced working and verbal memory after lamotrigine treatment in pediatric bipolar disorder

Pavuluri MN, Passarotti AM, Mohammed T, Carbray JA, Sweeney JA. Enhanced working and verbal memory after lamotrigine treatment in pediatric bipolar disorder.
Bipolar Disord 2010: 12: 213–220. © 2010 The Authors.
Journal compilation © 2010 John Wiley & Sons A/S. Objective: To examine the treatment impact of lamotrigine on the neurocognitive profile of patients with pediatric bipolar disorder (PBD). Method: Healthy controls (HC) (n = 24; mean age = 12.4 ± 3.3 years) and unmedicated PBD patients with manic, mixed, or hypomanic episodes (n = 34; mean age = 13 ± 3.1 years) were matched for IQ, age, sex, race, and socioeconomic status. A neurocognitive battery was administered at baseline and again after 14 weeks, during which PBD patients were treated with lamotrigine. Results: Clinical symptoms improved with treatment in the patient group with significant change from baseline to follow‐up on the Young Mania Rating Scale (p < 0.001) and the Children’s Depression Rating Scale–Revised (p < 0.001). Global neurocognitive function improved with lamotrigine in PBD patients over time relative to that in HC, although overall performance remained impaired. Working memory and verbal memory significantly improved with treatment in patients, and deficits in these domains were no longer significantly impaired relative to HC at follow‐up. Executive function significantly improved with treatment in the patient group but still lagged behind HC at follow‐up. Performance on attention tests did not improve with treatment. Conclusions: There appears to be significant improvement in cognitive abilities in PBD patients treated with lamotrigine that is most prominent in the areas of working memory and verbal memory and that occurs along with mood stabilization.     

Neurocognitive indicators for a conversion to psychosis: comparison of patients in a potentially initial prodromal state who did or did not convert to a psychosis

The study aims to identify potential neurocognitive indicators of an enhanced risk for developing psychosis. N=44 patients meeting clinical inclusion criteria for initial prodromal states (IPS) who developed psychosis within a median interval of 10 months were compared to N=39 IPS patients not developing psychosis within a minimum interval of 1 year (median 36 months), and to N=44 healthy controls on a comprehensive neuropsychological test battery (pattern recognition, divided and sustained attention, spatial and verbal working memory, verbal/visual memory, speed of processing, executive and intellectual functions). IPS patients who converted to psychosis performed worse than healthy controls on all broad neurocognitive domains. They were more impaired than IPS patients not developing psychosis on the Subject Ordered Pointing Task (SOPT; working memory), verbal memory functions, verbal executive, verbal IQ and speed of processing tests. After a Bonferroni-Holms adjustment for multiple testing differences on SOPT, Digit-Symbol Test, and verbal IQ remained significant (effect sizes d=0.54-0.88). Neurocognitive predictors had a sensitivity of 0.75 and a specificity of 0.79. Results support several cognitive domains as indicators of vulnerability to psychosis, and additionally suggest that subtle deficits in verbal abilities (working and long-term memory, executive and intellectual functions) and decreased speed of processing may help to predict conversion to psychosis in a clinically defined IPS group.     

Duration of untreated psychosis and neuropsychological function in first episode psychosis

PURPOSE: We investigated whether duration of untreated psychosis (DUP) prior to first presentation was associated with cognitive function in first episode psychosis (FEP) subjects. We predicted that longer DUP would be associated with greater neurocognitive impairment. METHOD: 180 subjects with schizophrenia (and 93 subjects with Other Psychoses) performed a neurocognitive battery assessing IQ, verbal learning, working memory, visual learning and speed of processing. DUP was defined as the number of days between first onset of psychotic symptoms and first contact with psychiatric services. RESULTS: Longer DUP was associated with impaired performance in verbal IQ (p=0.04), verbal learning (p=0.02), and verbal working memory (p=0.04) in FEP subjects with schizophrenia. These associations remained significant for verbal IQ when scores were corrected for age, gender, educational level and ethnicity. CONCLUSIONS: Longer DUP is associated with poorer neurocognitive ability in schizophrenia subjects at time of first presentation. Since this was a cross-sectional study we can not tell whether longer DUP was a cause or a consequence of the poorer performance.     

Structural whole‐brain covariance of the anterior and posterior hippocampus: Associations with age and memory

The hippocampus (HC) interacts with distributed brain regions to support memory and shows significant volume reductions in aging, but little is known about age effects on hippocampal whole‐brain structural covariance. It is also unclear whether the anterior and posterior HC show similar or distinct patterns of whole‐brain covariance and to what extent these are related to memory functions organized along the hippocampal longitudinal axis. Using the multivariate approach partial least squares, we assessed structural whole‐brain covariance of the HC in addition to regional volume, in young, middle‐aged and older adults (n = 221), and assessed associations with episodic and spatial memory. Based on findings of sex differences in both memory and brain aging, we further considered sex as a potential modulating factor of age effects. There were two main covariance patterns: one capturing common anterior and posterior covariance, and one differentiating the two regions by capturing anterior‐specific covariance only. These patterns were differentially related to associative memory while unrelated to measures of single‐item memory and spatial memory. Although patterns were qualitatively comparable across age groups, participants' expression of both patterns decreased with age, independently of sex. The results suggest that the organization of hippocampal structural whole‐brain covariance remains stable across age, but that the integrity of these networks decreases as the brain undergoes age‐related alterations.     

Toward a Model of Cognitive Insight in First-Episode Psychosis: Verbal Memory and Hippocampal Structure

Our previous work has linked verbal learning and memory with cognitive insight, but not clinical insight, in individuals with a first-episode psychosis (FEP). The current study reassessed the neurocognitive basis of cognitive and clinical insight and explored their neural basis in 61 FEP patients. Cognitive insight was measured with the Beck Cognitive Insight Scale (BCIS) and clinical insight with the Scale to assess Unawareness of Mental Disorder (SUMD). Global measures for 7 domains of cognition were examined. Hippocampi were manually segmented in to 3 parts: the body, head, and tail. Verbal learning and memory significantly correlated with the BCIS composite index. Composite index scores were significantly associated with total left hippocampal (HC) volume; partial correlations, however, revealed that this relationship was attributable largely to verbal memory performance. The BCIS self-certainty subscale significantly and inversely correlated with bilateral HC volumes, and these associations were independent of verbal learning and memory performance. The BCIS self-reflectiveness subscale significantly correlated with verbal learning and memory but not with HC volume. No significant correlations emerged between the SUMD and verbal memory or HC volume. These results strengthen our previous assertion that in individuals with an FEP cognitive insight may rely on memory whereby current experiences are appraised based on previous ones. The HC may be a viable location among others for the brain system that underlies aspects of cognitive insight in individuals with an FEP.     

Altered Integration of Structural Covariance Networks in Young Children With Type 1 Diabetes

Type 1 diabetes mellitus (T1D), one of the most frequent chronic diseases in children, is associated with glucose dysregulation that contributes to an increased risk for neurocognitive deficits. While there is a bulk of evidence regarding neurocognitive deficits in adults with T1D, little is known about how early‐onset T1D affects neural networks in young children. Recent data demonstrated widespread alterations in regional gray matter and white matter associated with T1D in young children. These widespread neuroanatomical changes might impact the organization of large‐scale brain networks. In the present study, we applied graph‐theoretical analysis to test whether the organization of structural covariance networks in the brain for a cohort of young children with T1D (N = 141) is altered compared to healthy controls (HC; N = 69). While the networks in both groups followed a small world organization—an architecture that is simultaneously highly segregated and integrated—the T1D network showed significantly longer path length compared with HC, suggesting reduced global integration of brain networks in young children with T1D. In addition, network robustness analysis revealed that the T1D network model showed more vulnerability to neural insult compared with HC. These results suggest that early‐onset T1D negatively impacts the global organization of structural covariance networks and influences the trajectory of brain development in childhood. This is the first study to examine structural covariance networks in young children with T1D. Improving glycemic control for young children with T1D might help prevent alterations in brain networks in this population. Hum Brain Mapp 37:4034–4046, 2016. © 2016 Wiley Periodicals, Inc .     

Cognitive alterations in patients with non-affective psychotic disorder and their unaffected siblings and parents

Meijer J, Simons CJP, Quee PJ, Verweij K, GROUP Investigators. Cognitive alterations in patients with non‐affective psychotic disorder and their unaffected siblings and parents. Objective: The purpose of this study was to examine a range of cognitive measures as candidate phenotypic liability markers for psychosis in a uniquely large sample of patients with psychosis, their unaffected relatives and control subjects. Method: Patients with non‐affective psychosis (n = 1093), their unaffected siblings (n = 1044), parents (n = 911), and controls (n = 587) completed a comprehensive cognitive test battery. Cognitive functioning was compared using tests of verbal learning and memory, attention/vigilance, working memory, processing speed, reasoning and problem solving, acquired knowledge, and social cognition. Age‐ and gender‐adjusted z‐scores were compared between groups using mixed‐model analyses of covariance. Clinically relevant impairment (?1 and ?2 SD from control mean) was compared between subject groups. Results: Patients performed significantly worse than controls in all cognitive domains (z‐range ?0.26 to ?1.34). Siblings and parents showed alterations for immediate verbal learning, processing speed, reasoning and problem solving, acquired knowledge, and working memory (z‐range ?0.22 to ?0.98). Parents showed additional alterations for social cognition. Prevalence of clinically relevant impairment in relatives ranged from 50% (?1 SD criterion) to 10% (?2 SD criterion). Conclusion: Cognitive functioning is a candidate intermediate phenotype given significant small to large alterations in patients and intermediate alterations in first‐degree relatives.     

Clinical and neurocognitive course in early-onset psychosis: a longitudinal study of adolescents with schizophrenia-spectrum disorders

Aim: Adolescents with psychotic disorders show deficits in IQ, attention, learning and memory, executive functioning, and processing speed that are related to important clinical variables including negative symptoms, adaptive functioning and academics. Previous studies have reported relatively consistent deficits with varying relationships to illness status and symptoms. The goals of this study were to examine these relationships in a larger sample at baseline, and also to examine the longitudinal course of these deficits in a smaller subset of adolescents. Method: Thirty‐six subjects, aged 10 to 17 years, were included at baseline. All had Diagnostic and Statistical Manual‐Fourth Edition diagnoses of schizophrenia, schizoaffective disorder, schizophreniform disorder and psychosis – not otherwise specified, as determined by Kiddie‐Schedule for Affective Disorders and Schizophrenia for School‐Age Children structured interviews. Patients were administered a neuropsychological battery, and Positive and Negative Syndrome Scale ratings were completed at baseline and again at 1 year (n = 14). Most participants were inpatients at baseline, and 13 of 14 were on atypical antipsychotic medication during both sessions. Results: At baseline, the patients demonstrated impairments in working memory, processing speed, executive function and verbal learning. No significant cognitive change was detected at 1‐year follow‐up. In contrast, clinical symptoms were variable across 1 year, with an improvement in positive symptoms at 1 year. No relationships between clinical and cognitive symptoms were observed, with the exception of baseline IQ predicting negative symptoms at 1 year. Conclusions: Young patients with schizophrenia‐spectrum disorders displayed neurocognitive impairments at baseline. Despite measurable fluctuations in clinical symptoms over the year, no significant changes were measured in cognition. Lower IQ at baseline was predictive of more negative symptoms at 1 year.     

Distinguishing Prodromal From First-Episode Psychosis Using Neuroanatomical Single-Subject Pattern Recognition

Background: The at-risk mental state for psychosis (ARMS) and the first episode of psychosis have been associated with structural brain abnormalities that could aid in the individualized early recognition of psychosis. However, it is unknown whether the development of these brain alterations predates the clinical deterioration of at-risk individuals, or alternatively, whether it parallels the transition to psychosis at the single-subject level. Methods: We evaluated the performance of an magnetic resonance imaging (MRI)-based classification system in classifying disease stages from at-risk individuals with subsequent transition to psychosis (ARMS-T) and patients with first-episode psychosis (FE). Pairwise and multigroup biomarkers were constructed using the structural MRI data of 22 healthy controls (HC), 16 ARMS-T and 23 FE subjects. The performance of these biomarkers was measured in unseen test cases using repeated nested cross-validation. Results: The classification accuracies in the HC vs FE, HC vs ARMS-T, and ARMS-T vs FE analyses were 86.7%, 80.7%, and 80.0%, respectively. The neuroanatomical decision functions underlying these discriminative results particularly involved the frontotemporal, cingulate, cerebellar, and subcortical brain structures. Conclusions: Our findings suggest that structural brain alterations accumulate at the onset of psychosis and occur even before transition to psychosis allowing for the single-subject differentiation of the prodromal and first-episode stages of the disease. Pattern regression techniques facilitate an accurate prediction of these structural brain dynamics at the early stage of psychosis, potentially allowing for the early recognition of individuals at risk of developing psychosis.Key words: at-risk mental state, early prediction of psychosis, voxel-based morphometry, multivariate analysis, machine learning, support vector machine     

Brain tumors in children and adolescents--II. The neuroanatomy of deficits in working, associative and serial-order memory

The neuroanatomy of memory deficits was studied in 46 children and adolescents with brain tumors. CT-scan reconstructions of 88 brain regions were coded with respect to tumor and related damage, and multiple regression procedures established patterns of brain damage predictive of memory deficits. Two forms of memory revealed non-overlapping focal neuroanatomical substrates: memory for the serial order of pictures that corresponded to heard words involved structures in the limbic system and hypothalamic-pituitary axis; whereas working memory, in which each of a succession of heard words is stored in temporary memory long enough to be compared to or contrasted with incoming words, involved the pineal-habenular region and the anterior and medial thalamic nuclei. Memory for semantically-based word-picture associations, in contrast, was unaffected by tumors in several subcortical brain regions. These data bear on current analyses of the neural substrates of associative and representational memory.     

Neural correlates of movement generation in the ‘at‐risk mental state’

Broome MR, Matthiasson P, Fusar‐Poli P, Woolley JB, Johns LC, Tabraham P, Bramon E, Valmaggia L, Williams SCR, Brammer MJ, Chitnis X, McGuire PK. Neural correlates of movement generation in the ‘at‐risk mental state’. Objective: People with ‘prodromal’ symptoms have a very high risk of developing psychosis. We examined the neurocognitive basis of this vulnerability by using functional MRI to study subjects with an at‐risk mental state (ARMS) while they performed a random movement generation task. Method: Cross‐sectional comparison of individuals with an ARMS (n = 17), patients with first episode schizophreniform psychosis (n = 10) and healthy volunteers (n = 15). Subjects were studied using functional MRI while they performed a random movement generation paradigm. Results: During random movement generation, the ARMS group showed less activation in the left inferior parietal cortex than controls, but greater activation than in the first episode group. Conclusion: The ARMS is associated with abnormalities of regional brain function that are qualitatively similar to those in patients who have recently presented with psychosis but less severe.     

Hippocampal integrity and neurocognition in first-episode schizophrenia: A multidimensional study

Objectives. Impairments in memory and executive function are key components of schizophrenia. These disturbances have been linked to several subcortical and cortical networks. For example, anatomical and functional changes in the hippocampus have been linked to deficits in these cognitive domains. However, the association between hippocampal morphometry, neurochemistry and function is controversial. Therefore, we aimed to investigate the relationship between hippocampal anomalies and their functional relevance. Methods. Fifty-seven first-episode schizophrenia patients (FE-SZ) and 61 healthy control subjects (HC) participated in this study. Hippocampal volumes were investigated using structural magnetic resonance imaging (sMRI) and hippocampal neurochemistry was determined using proton magnetic resonance spectroscopy (1H MRS). Verbal memory was used as a hippocampus-dependent cognitive task whereas working memory and cognitive flexibility assessed frontal lobe function. Results. FE-SZ presented smaller volumes of the left hippocampus, with a significant correlation between left hippocampal volume and verbal memory performance (immediate recall). There was also an inverse correlation between neurochemical ratios (NAA/Cho and Cho/Cr) and verbal memory (delayed recognition). Tests of cognitive flexibility and working memory were not correlated with MRI and 1H MRS values. Compared to HC, FE-SZ demonstrated reduced performance in all of the assessed neurocognitive domains. Conclusions. These results point to a relationship between verbal memory and hippocampal integrity in schizophrenia patients which might be independent from deficits in other memory domains. Disturbed verbal memory functions in FE-SZ might be linked specifically to hippocampal function.     

Computerised working memory‐based cognitive remediation therapy does not affect Reading the Mind in The Eyes test performance or neural activity during a Facial Emotion Recognition test in psychosis

Working memory‐based cognitive remediation therapy (CT) for psychosis has recently been associated with broad improvements in performance on untrained tasks measuring working memory, episodic memory and IQ, and changes in associated brain regions. However, it is unclear whether these improvements transfer to the domain of social cognition and neural activity related to performance on social cognitive tasks. We examined performance on the Reading the Mind in the Eyes test (Eyes test) in a large sample of participants with psychosis who underwent working memory‐based CT (N = 43) compared to a control group of participants with psychosis (N = 35). In a subset of this sample, we used functional magnetic resonance imaging (fMRI) to examine changes in neural activity during a facial emotion recognition task in participants who underwent CT (N = 15) compared to a control group (N = 15). No significant effects of CT were observed on Eyes test performance or on neural activity during facial emotion recognition, either at p < 0.05 family‐wise error or at a p < 0.001 uncorrected threshold, within a priori social cognitive regions of interest. This study suggests that working memory‐based CT does not significantly impact an aspect of social cognition which was measured behaviourally and neurally. It provides further evidence that deficits in the ability to decode mental state from facial expressions are dissociable from working memory deficits, and suggests that future CT programmes should target social cognition in addition to working memory for the purposes of further enhancing social function.     

Cognitive insight and verbal memory in first episode of psychosis

Beck and collaborators have proposed a distinction between clinical insight and cognitive insight and have developed a tool for the assessment of the latter, namely the Beck Cognitive Insight Scale (BCIS). The present study explored in 51 patients with a first episode of psychosis the neurocognitive correlates of cognitive insight as assessed with the BCIS. Global measures for seven domains of cognition including verbal learning and memory, visual learning and memory, working memory, speed of processing, reasoning and problem solving, attention, and social cognition were examined. Secondly, we examined whether two clinical insight measures, the Scale to assess Unawareness of Mental Disorder (SUMD) and the insight item from the Positive and Negative Symptoms Scale (PANSS), could produce similar or different patterns of association with neurocognitive functions as those identified with the BCIS. Correlational analyses revealed significant associations between the BCIS Composite Index and the verbal learning and memory. No significant associations were observed between any of the neurocognitive domains and the PANSS or SUMD clinical insight measures, despite high inter-correlations among the three insight measures. These results suggest that cognitive insight, but not clinical insight, may rely on memory processes whereby current experiences are appraised based on previous ones.     

Brain structure and verbal function across adulthood while controlling for cerebrovascular risks

The development and decline of brain structure and function throughout adulthood is a complex issue, with cognitive aging trajectories influenced by a host of factors including cerebrovascular risk. Neuroimaging studies of age‐related cognitive decline typically reveal a linear decrease in gray matter (GM) volume/density in frontal regions across adulthood. However, white matter (WM) tracts mature later than GM, particularly in regions necessary for executive functions and memory. Therefore, it was predicted that a middle‐aged group (MC: 35–45 years) would perform best on a verbal working memory task and reveal greater regional WM integrity, compared with both young (YC: 18–25 years) and elder groups (EC: 60+ years). Diffusion tensor imaging (DTI) and magnetoencephalography (MEG) were obtained from 80 healthy participants. Objective measures of cerebrovascular risk and cognition were also obtained. As predicted, MC revealed best verbal working memory accuracy overall indicating some maturation of brain function between YC and MC. However, contrary to the prediction fractional anisotropy values (FA), a measure of WM integrity, were not greater in MC (i.e., there were no significant differences in FA between YC and MC but both groups showed greater FA than EC). An overall multivariate model for MEG ROIs showed greater peak amplitudes for MC and YC, compared with EC. Subclinical cerebrovascular risk factors (systolic blood pressure and blood glucose) were negatively associated with FA in frontal callosal, limbic, and thalamic radiation regions which correlated with executive dysfunction and slower processing speed, suggesting their contribution to age‐related cognitive decline. Hum Brain Mapp 38:3472–3490, 2017. © 2017 Wiley Periodicals, Inc.     

Cortical abnormalities and their cognitive correlates in patients with temporal lobe epilepsy and interictal psychosis

Purpose: To determine whether cortical abnormalities are more severe and widespread in patients with temporal lobe epilepsy (TLE) and interictal psychosis (IP) compared to those with TLE only (NIP) and healthy controls (HC), and to explore the associations between cortical parameters (area, thickness and volume), psychotic symptoms, and cognitive performance. Methods: Twenty‐two patients with IP (9 male; 10 hippocampal sclerosis, HS), 23 TLE nonpsychotic (NIP) patients (11 male; 13 HS) matched for duration of epilepsy and 20 HC participated. Surface‐based morphometry (SBM) was used to measure cortical parameters. Cognition was examined in IP and NIP patients. Associations between cortical parameters and cognition were examined using linear mixed models adjusted by age, gender, and brain volume. Key Findings: IP patients had an earlier onset of epilepsy, more status epilepticus, and worse cognitive performance than NIP patients. In IP patients, cortical thickness was reduced in the inferior frontal gyrus (IFG), and their current IQ was associated with decreases in area, but not thickness, in regions of the frontotemporal cortex. Significance: IP likely reflects the interplay of psychosis‐related genetic factors and the cumulative effects of seizure activity on the brain. Cortical thinning in the IFG, a region implicated in schizophrenia, is likely to be related to seizure activity, whereas changes in IQ, associated with reductions in area of frontotemporal cortex, may be related to the presence of psychosis.