Gray Matter Volume Loss Research Articles

Hemoglobin Level and Platelet Size Predicts Grey and White Matter Volume Loss Measured By Tensor Based Morphology in Sickle Cell Disease

▪Background: Sickle cell disease (SCD) is a life-threatening genetic disease whose patients suffer from chronic anemia, hemolysis, vascular damage, and impaired cerebral blood flow that lead to early and cumulative neurological insults. Adverse effects associated with chronic anemia and hemolysis in SCD include progressive large vessel vasculopathy, stroke, silent cerebral infarctions, and ultimately, early mortality. Few studies have attempted to characterize the effects of this disease on brain morphometry and most have been limited to school age children, despite the progressive nature of the cerebrovascular disease. Thus, this study aims to quantify the hematological effects of SCD on brain morphometry in adolescents and young adults.Methods: 3D T1-weighted images (TE =3.8ms TR =8.3ms; resolution = 1mm3) were acquired on 25 clinically asymptomatic SCD patients (age=20.8 ± 6.7; F=13, M=12) and 26 ethnically matched control subjects (age=26.4 ± 7.7; F=17, M=9). MRI data were acquired on a 3T Philips Achieva (v.3.2.1) using an 8-channel head coil. All patients were recruited with informed consent or assent; the study was approved by the Institutional Review Board at Children’s Hospital Los Angeles (CCI#11-00083). Exclusion criteria included pregnancy, previous overt stroke, acute chest, or pain crisis hospitalization within one month.T1-weighted images were processed using BrainSuite (brainsuite.org) in a semi-automated fashion to calculate whole brain gray matter volume (GMV), and white matter volume (WMV). Stepwise multivariate regression analysis was run on GMV and WMV against laboratory data and vital signs to find predictors of total brain volume. Laboratory data probed including complete blood counts and indices, quantitative hemoglobin electrophoresis, and markers of hemolysis (LDH, reticulocyte count, cell free hemoglobin). After correcting for age and sex, the remaining predictors of grey and white matter volume were used to probe for regional changes in brain volume through tensor based morphometry (Brain Suite Statistics Toolbox).Results: White matter, but not grey matter, was diffusely smaller in SCD patients. Sex, age (log transformed) and mean platelet volume (MPV) were the parameters retained in the multivariate model to predict GMV (r2=0.65; F ratio=28.9) where MPV had a positive correlation to GMV. Hemoglobin, sex, and MPV were found as predictors of WMV (r2=0.43; F ratio = 11.8) where both hemoglobin and MPV had a positive correlation to WMV.Using tensor based morphometry (TBM), both hemoglobin and MPV were positively associated with brain volume changes diffusely in the frontal, parietal, and temporal cortices (Figure 1). Hemoglobin had a strong localized effect on the subcortex (white matter and basal ganglia) (Figure 1) suggesting that anemia was associated with volume loss in these areas. MPV overall was found to have a strong effect on cortical morphology diffusely.Conclusion: Hemoglobin's relationship to brain volume and morphology suggests global white matter shrinkage due to anemia. The association is strongest in the phylogenetically younger portions of the brain and co-localizes with brain regions impacted by silent stroke. MPV was an unexpectedly strong predictor of cortical volumes in both SCD and control subjects. MPV is an indicator of platelet activation and is associated with ischemic stroke, hypertension, obstructive sleep apnea, and coronary artery syndromes in the general population, similar to C-reactive protein. However, the broad association of MPV and grey matter volumes in both SCD patients and controls, independently, suggests a developmental interplay between brain maturation and inflammatory signaling that requires further study. [Display omitted] DisclosuresWood:Celgene: Consultancy; Ionis Pharmaceuticals: Consultancy; AMAG: Consultancy; Apopharma: Consultancy; Apopharma: Consultancy; Biomed Informatics: Consultancy; Biomed Informatics: Consultancy; AMAG: Consultancy; Celgene: Consultancy; Vifor: Consultancy; Ionis Pharmaceuticals: Consultancy; World Care Clinical: Consultancy; Vifor: Consultancy; World Care Clinical: Consultancy.

The effect of methylphenidate intake on brain structure in adults with ADHD in a placebo-controlled randomized trial

Based on animal research several authors have warned that the application of methylphenidate, the first-line drug for the treatment of attention-deficit/hyperactivity disorder (ADHD), might have neurotoxic effects potentially harming the brain. We investigated whether methylphenidate application, over a 1-year period, results in cerebral volume decrease. We acquired structural MRIs in a double-blind study comparing methylphenidate to placebo. Global and regional brain volumes were analyzed at baseline, after 3 months and after 12 months using diffeomorphic anatomic registration through exponentiated lie algebra. We included 131 adult patients with ADHD into the baseline sample, 98 into the 3-month sample (54 in the methylphenidate cohort and 44 in the placebo cohort) and 76 into the 1-year sample (37 in the methylphenidate cohort and 29 in the placebo cohort). Methylphenidate intake compared with placebo did not lead to any detectable cerebral volume loss; there was a trend toward bilateral cerebellar grey matter increase. Detecting possible neurotoxic effects of methylphenidate might require a longer observation period. There is no evidence of grey matter volume loss after 1 year of methylphenidate treatment in adult patients with ADHD.

Regional Gray Matter Volume Loss Is Associated with Gait Impairments in Young Brain-Injured Individuals.

Traumatic brain injury (TBI) often leads to impairments in gait performance. However, the underlying neurostructural pathology of these gait deficits is poorly understood. We aimed to investigate regional gray matter (GM) volume in young moderate-to-severe TBI participants (n = 19; age 13 years 11 months ±3 years 1 month), compared with typically developing (TD) participants (n = 30; 14 years 10 months ±2 years 2 months), and assess whether reduced volume was related to impaired gait performance in TBI participants. Cortical and subcortical GM structures involved in the neural control of gait were selected as regions of interest (ROIs) and their volume was extracted using Freesurfer. Moreover, established spatiotemporal markers of gait impairments in TBI participants, including step length asymmetry, step length variability, and double support time, were obtained using an electronic walkway. Compared with TD participants, TBI participants showed increased double support time, step length asymmetry, and step length variability, suggesting a reduced gait control. Secondly, in TBI participants, reduced volumes were demonstrated in overall subcortical GM and individual subcortical ROIs, including the hippocampus, cerebellar cortex, putamen, and thalamus. Moreover, in the TBI group, volume losses in subcortical ROIs were highly inter-correlated, indicating that atrophy tends to occur in combined subcortical structures. Finally, it was demonstrated, for the first time, that gait abnormalities in TBI subjects were associated with reduced volume in specific GM structures, including the hippocampus, thalamus, and the cerebellar, superior frontal, paracentral, posterior cingulate, and superior parietal cortices. The present study is an important first step in the understanding of the neurostructural pathology underlying impaired gait in TBI patients.

Non-demented Parkinson's disease patients with apathy show decreased grey matter volume in key executive and reward-related nodes.

Apathy is a common but poorly understood neuropsychiatric disturbance in Parkinson's disease (PD). In a recent study using event-related brain potentials we demonstrated impaired reward processing and compromised mesocortico-limbic pathways in PD patients with clinical symptoms of apathy. Here we aimed to further investigate the involvement of reward circuits in apathetic PD patients by assessing potential differences in brain structure. Using structural magnetic resonance imaging (MRI) and voxel-based morphometry (VBM) we quantified grey matter volume (GMV) in a sample of 18 non-demented and non-depressed PD patients with apathy, and 18 matched non-apathetic patients. Both groups were equivalent in terms of sociodemographic characteristics, disease stage, cognitive performance and L-Dopa equivalent daily dose. Apathetic patients showed significant GMV loss in cortical and subcortical brain structures. Various clusters of cortical GMV decrease were found in the parietal, lateral prefrontal cortex, and orbitofrontal cortex (OFC). The second largest cluster of GMV loss was located in the left nucleus accumbens (NAcc), a subcortical structure that is a key node of the human reward circuit. Isolated apathy in our sample is explained by the combined GMV loss in regions involved in executive functions, and cortical and subcortical structures of the mesolimbic reward pathway. The correlations observed between apathy and cognition suggests apathy as a marker of more widespread brain degeneration even in a sample of non-demented PD patients.

Longitudinal brain structure and cognitive changes over 8 years in an East Asian cohort

Although East Asia harbors the largest number of aging adults in the world, there is currently little data clarifying the longitudinal brain-cognition relationships in this group. Here, we report structural MRI and neuropsychological findings from relatively healthy Chinese older adults of the Singapore-Longitudinal Aging Brain Study cohort over 8 years of follow up (n=111, mean age=67.1 years, range=56.1–83.1 years at baseline). Aging-related change in structural volume was observed, with total cerebral atrophy at −0.56%/year, hippocampal atrophy at −0.94%/year and ventricular expansion at 3.56%/year. Only speed of processing showed an aging-related decline, while other cognitive domains were relatively maintained. Faster decline in global cognition was associated with total cerebral, hippocampal and gray matter volume losses over time. Faster total cerebral atrophy and white matter atrophy (frontal and parietal regions) was associated with faster decline in verbal memory. Hippocampal atrophy and ventricular expansion were both associated with greater decline in verbal memory and executive function. Our findings provide a benchmark for research on brain structural and cognitive changes with aging in East Asians.

From Cortical and Subcortical Grey Matter Abnormalities to Neurobehavioral Phenotype of Angelman Syndrome: A Voxel-Based Morphometry Study.

Angelman syndrome (AS) is a rare neurogenetic disorder due to loss of expression of maternal ubiquitin-protein ligase E3A (UBE3A) gene. It is characterized by severe developmental delay, speech impairment, movement or balance disorder and typical behavioral uniqueness. Affected individuals show normal magnetic resonance imaging (MRI) findings, although mild dysmyelination may be observed. In this study, we adopted a quantitative MRI analysis with voxel-based morphometry (FSL-VBM) method to investigate disease-related changes in the cortical/subcortical grey matter (GM) structures. Since 2006 to 2013 twenty-six AS patients were assessed by our multidisciplinary team. From those, sixteen AS children with confirmed maternal 15q11-q13 deletions (mean age 7.7 ± 3.6 years) and twenty-one age-matched controls were recruited. The developmental delay and motor dysfunction were assessed using Bayley III and Gross Motor Function Measure (GMFM). Principal component analysis (PCA) was applied to the clinical and neuropsychological datasets. High-resolution T1-weighted images were acquired and FSL-VBM approach was applied to investigate differences in the local GM volume and to correlate clinical and neuropsychological changes in the regional distribution of GM. We found bilateral GM volume loss in AS compared to control children in the striatum, limbic structures, insular and orbitofrontal cortices. Voxel-wise correlation analysis with the principal components of the PCA output revealed a strong relationship with GM volume in the superior parietal lobule and precuneus on the left hemisphere. The anatomical distribution of cortical/subcortical GM changes plausibly related to several clinical features of the disease and may provide an important morphological underpinning for clinical and neurobehavioral symptoms in children with AS.

Neuroprogression and episode recurrence in bipolar I disorder: A study of gray matter volume changes in first‐episode mania and association with clinical outcome

Bipolar I disorder (BD-I) is associated with gray matter volume (GMV) alterations in neural regions important for emotional regulation. Reductions found in patients with multiple episodes are not seen at illness onset, suggesting that changes occur with illness progression, although no prospective studies to date have examined this. In the present study, we assessed GMV at baseline and one year following a first manic episode, examining the impact of episode recurrence on the trajectory of change. A total of 41 recently remitted first manic episode patients with BD-I and 25 healthy subjects (HS) underwent 3T magnetic resonance imaging at baseline and one year later. Using voxel-based morphometry, we compared GMV change between HS, patients who experienced a recurrence of a mood episode (BDrecurr ), and patients in sustained remission (BDwell ). The GMV change from baseline to one year did not differ significantly between HS and the full BD-I group or BDwell and HS. However, the BDrecurr group had greater GMV loss than HS in left frontal and bilateral temporal regions, and BDwell patients involving bilateral frontal, temporal and left parietal regions. GMV change early in the course of BD-I is associated with clinical outcome, such that neuroprogression found in patients who experience a recurrence of a mood episode is not seen in those with sustained remission. These findings have important implications for the treatment of BD-I as they suggest that prevention of recurrence might minimize neuroprogression of the disease, possibly requiring a multipronged early intervention approach to achieve this goal.

Behavioral impulsivity mediates the relationship between decreased frontal gray matter volume and harmful alcohol drinking: A voxel-based morphometry study

Alcohol use disorder (AUD) with harmful drinking patterns is on the one hand characterized by impulsive behavior and is on the other hand known to involve structural brain alterations with lower gray matter volume (GMV), especially in the prefrontal cortex (PFC). So far it is unclear whether frontal brain volumes are associated to harmful alcohol drinking and impulsivity, while controlling simultaneously for a wide array of important confounding factors, which are related to alcohol consumption.We used voxel-based morphometry in 99 adults ranging within a continuum of normal to harmful drinking behavior and alcohol dependence, measured by the ‘Alcohol Use Disorders Identification Test’, to examine whether the severity of harmful drinking is correlated with structural markers, in particular in the PFC and whether such markers are linked to self-reported impulsivity. We included alcohol and nicotine lifetime exposure, age, education, and BMI as covariates to control that GMV decreases were not related to those factors.Harmful drinking was associated with lower GMV in the right frontal pole, left inferior frontal gyrus, and bilateral inferior parietal lobe. GMV loss in the PFC regions was correlated with increased impulsivity. Follow-up mediation analyses showed that the relationship between GMV in the frontal pole and harmful drinking was mediated by impulsivity.Our findings show that PFC reductions are associated with harmful drinking and impulsivity. Our data suggest that reduced frontal pole GM, independent of a number of alcohol drinking associated covariates, e.g. lifetime alcohol consumption, is related to impaired top-down control of alcohol drinking behavior.

Natural variation in sensory-motor white matter organization influences manifestations of Huntington's disease.

While the HTT CAG-repeat expansion mutation causing Huntington's disease (HD) is highly correlated with the rate of pathogenesis leading to disease onset, considerable variance in age-at-onset remains unexplained. Therefore, other factors must influence the pathogenic process. We asked whether these factors were related to natural biological variation in the sensory-motor system. In 243 participants (96 premanifest and 35 manifest HD; 112 controls), sensory-motor structural MRI, tractography, resting-state fMRI, electrophysiology (including SEP amplitudes), motor score ratings, and grip force as sensory-motor performance were measured. Following individual modality analyses, we used principal component analysis (PCA) to identify patterns associated with sensory-motor performance, and manifest versus premanifest HD discrimination. We did not detect longitudinal differences over 12 months. PCA showed a pattern of loss of caudate, grey and white matter volume, cortical thickness in premotor and sensory cortex, and disturbed diffusivity in sensory-motor white matter tracts that was connected to CAG repeat length. Two further major principal components appeared in controls and HD individuals indicating that they represent natural biological variation unconnected to the HD mutation. One of these components did not influence HD while the other non-CAG-driven component of axial versus radial diffusivity contrast in white matter tracts were associated with sensory-motor performance and manifest HD. The first component reflects the expected CAG expansion effects on HD pathogenesis. One non-CAG-driven component reveals an independent influence on pathogenesis of biological variation in white matter tracts and merits further investigation to delineate the underlying mechanism and the potential it offers for disease modification. Hum Brain Mapp 37:4615-4628, 2016. © 2016 Wiley Periodicals, Inc.

Progressive Focal Gray Matter Volume Loss in a Former High School Football Player: A Possible Magnetic Resonance Imaging Volumetric Signature for Chronic Traumatic Encephalopathy

Here a case is presented of a 51-year-old former high school football player with multiple concussions, including one episode with loss of consciousness. The patient experienced 6 years of cognitive and mood decline, and his wife corroborated increasing memory loss, attentional difficulties, and depressed mood without suicidal ideation. He had been unable to maintain full-time employment because of progressive decline. Based on his presentation, he had been previously diagnosed with attention deficit hyperactivity disorder and bipolar disorder, type II. Neuropsychological tests indicated domain-specific cognitive impairment, and longitudinal volumetric magnetic resonance imaging (MRI) of the brain showed progressive brainstem, diencephalic, and frontal lobe atrophy. This regional volume loss correlated with the increased signal seen on tau and amyloid imaging (FDDNP-PET scan) of a separate case of suspected chronic traumatic encephalopathy (CTE). Visual assessment of the MRI also showed evidence of old petechial hemorrhages in the frontal and temporal-parietal lobe white matter. This case raises the possibility of distinct quantitative and visual brain MRI findings in suspected CTE.

Neuroanatomical changes extend beyond striatal atrophy in X-linked dystonia parkinsonism

BackgroundX-linked dystonia-parkinsonism (XDP) is an inherited neurodegenerative adult-onset basal ganglia model disease associated with severe striatal atrophy. Anatomical changes exceeding striatal pathology were not yet described in XDP. The present study aimed to assess the microstructure of white matter tracts in XDP using magnetic resonance tomography. MethodsDiffusion-weighted imaging was done in 10 XDP patients, aged 42.2 years (SD 8.1), and 14 ethnicity and age-matched controls, aged 40.2 years (SD 6.4). Based on diffusion tensor images, mean diffusivity (MD) and fractional anisotropy (FA) maps were calculated. ResultsExcept for in the occipital lobe, XDP patients showed generally increased MD values across the entire white matter. FA map analysis identified four significant clusters with controls showing higher FA values than XDP patients. Involved regions included the fornix, anterior thalamic radiation, corticospinal tract, and superior corona radiata bilaterally. In the fornix and the anterior thalamic radiation, the UPDRSIII total score showed a negative correlation with mean FA values at a trend level (tau = −0.40, p = 0.053). Volumetric analysis revealed significant gray matter volume loss of putamen (F(1,19) = 44.2, p < 0.001), caudate nucleus (F(1,19) = 54.3, p < 0.001), and pallidum (F(1,19) = 8.9, p = 0.007). ConclusionsThe present study confirms striatal atrophy in XDP and provides evidence for a strong involvement of the white matter and the pallidum. This calls into question the previously held concept of exclusive striatal atrophy in this unique movement disorder. The spared occipital region may point towards a lack of anatomical connections with the atrophied striatum.

Disability-Specific Atlases of Gray Matter Loss in Relapsing-Remitting Multiple Sclerosis

Multiple sclerosis (MS) is characterized by progressive gray matter (GM) atrophy that strongly correlates with clinical disability. However, whether localized GM atrophy correlates with specific disabilities in patients with MS remains unknown. To understand the association between localized GM atrophy and clinical disability in a biology-driven analysis of MS. In this cross-sectional study, magnetic resonance images were acquired from 133 women with relapsing-remitting MS and analyzed using voxel-based morphometry and volumetry. A regression analysis was used to determine whether voxelwise GM atrophy was associated with specific clinical deficits. Data were collected from June 28, 2007, to January 9, 2014. Voxelwise correlation of GM change with clinical outcome measures (Expanded Disability Status Scale and Multiple Sclerosis Functional Composite scores). Among the 133 female patients (mean [SD] age, 37.4 [7.5] years), worse performance on the Multiple Sclerosis Functional Composite correlated with voxelwise GM volume loss in the middle cingulate cortex (P < .001) and a cluster in the precentral gyrus bilaterally (P = .004). In addition, worse performance on the Paced Auditory Serial Addition Test correlated with volume loss in the auditory and premotor cortices (P < .001), whereas worse performance on the 9-Hole Peg Test correlated with GM volume loss in Brodmann area 44 (Broca area; P = .02). Finally, voxelwise GM loss in the right paracentral lobulus correlated with bowel and bladder disability (P = .03). Thus, deficits in specific clinical test results were directly associated with localized GM loss in clinically eloquent locations. These biology-driven data indicate that specific disabilities in MS are associated with voxelwise GM loss in distinct locations. This approach may be used to develop disability-specific biomarkers for use in future clinical trials of neuroprotective treatments in MS.

Structural grey matter changes in the substantia innominata in Alzheimer's disease and dementia with Lewy bodies: a DARTEL-VBM study.

ObjectivesSeveral cholinergic nuclei, and in particular the nucleus basalis of Meynert, are localised to the substantia innominata in the basal forebrain. These nuclei provide major cholinergic innervation to the cerebral cortex and hippocampus, and have an essential role in cognitive function. The aim of this study was to investigate volumetric grey matter (GM) changes in the substantia innominata from structural T1 images in Alzheimer's disease (AD), dementia with Lewy bodies (DLB) and healthy older participants using voxel‐based morphometry.MethodsParticipants (41 DLB, 47 AD and 39 controls) underwent 3 T T1 magnetic resonance imaging and cognitive assessments. Voxel‐based morphometry analysis used SPM8 with a substantia innominata brain mask to define the subspace for voxel GM analyses. Group differences, and selected behavioural and clinical correlates, were assessed.ResultsCompared with that in controls, bilateral GM loss in the substantia innominata was apparent in both AD and DLB. Relative to controls, significant bilateral GM loss in the substantia innominata was observed in DLB and AD. In DLB, significant associations were also observed between substantia innominata GM volume loss, and the levels of cognitive impairment and severity of cognitive fluctuations.ConclusionsRelative to that controls, atrophy of the substantia innominata was apparent in DLB and AD, and is associated with specific clinical manifestations in DLB. © 2016 The Authors. International Journal of Geriatric Psychiatry Published by John Wiley & Sons Ltd.

Brain morphological changes in adolescent and adult patients with anorexia nervosa.

Gray matter (GM) and white matter (WM) volume loss occur in the brains of patients with acute anorexia nervosa (AN) and improve again upon weight restoration. Adolescence is an important time period for AN to begin. However, little is known about the differences between brain changes in adolescents vs adults. We used a meta-analysis and a qualitative review of all MRI studies regarding acute structural brain volume changes and their recovery in adolescents and adults with AN. 29 studies with 473 acute, 121 short-term weight-recovered and 255 long-term recovered patients with AN were included in the meta-analysis. In acute AN, GM and WM were reduced compared to healthy controls. Acute adolescent patients showed a significantly greater GM reduction than adults (-8.4 vs -3.1%), the difference in WM (-4.0 vs -2.1%) did not reach significance. Short-term weight-recovered patients showed a remaining GM deficit of 3.6% and a non-significant WM reduction of 0.9% with no age differences. Following 1.5-8years of remission, GM and WM were no longer significantly reduced in adults (GM -0.4%, WM -0.7%); long-term studies for adolescents were scarce. The qualitative review showed that GM volume loss was correlated with cognitive deficits and three studies found GM regions, cerebellar deficits and WM to be predictive of outcome. GM and WM are strongly reduced in acute AN and even more pronounced in adolescence. Long-term recovery appears to be complete for adults while no conclusions can be drawn for adolescents, thus caution remains.

Mindfulness Training for Older Adults with Subjective Cognitive Decline: Results from a Pilot Randomized Controlled Trial.

Subjective cognitive decline (SCD) in older adults is a condition with a complex phenomenology and diverse etiologies including (but not limited to) mood, personality, and health concerns, as well as biomarkers of preclinical Alzheimer's disease such as amyloid-β deposition and gray matter volume loss. Approximately 60% of affected persons are estimated to decline to Alzheimer's dementia. Regardless of etiology, persons with SCD may be optimal targets for early intervention. To ascertain the feasibility and impact of mindfulness training (MT) as an early intervention in persons with SCD. Using a single-blind, randomized controlled trial design, older adults with (n = 14) and without (n = 22) SCD were randomized to either MT or a control condition of psychoeducation (PE) on cognitive aging. EEG/ERP (specifically, the P3 component), structural MRI, and self-report measures of psychological functioning were obtained within 4 weeks prior to and within 2 weeks following intervention. MT resulted in decreased reaction time intra-individual variability for all participants, with a selective increase in the P3 event-related component for those with SCD. Compared with PE, MT also resulted in an increase in percent volume brain change in structural MRI. Finally, all SCD participants reported a decrease in cognitive complaints and increase in memory self-efficacy following intervention. Results suggest that MT is a feasible early intervention in persons with SCD. Longer-term follow-up with larger sample sizes will determine whether MT can slow the rate of decline in persons who may be at risk for Alzheimer's dementia.

The role of global and regional gray matter volume decrease in multiple sclerosis.

Disability in multiple sclerosis (MS) patients is associated with white matter (WM) and gray matter (GM) pathology, and both processes contribute differently over the disease course. Total and regional GM volume loss can be imaged via voxel-based morphometry (VBM). Here, we retrospectively analyzed a group of 213 MS patients [163 relapsing remitting (RR) and 50 secondary progressive (SP)] using semi-automated white matter (WM) lesion mapping and voxel-based morphometry (VBM). Our aim was to assess the association of increasing disability with decreasing total and regional GM volume. As expected, total GM volume and WM lesion load were associated with patients disability, measured with the Expanded Disability Status Scale (EDSS). The more impaired the patients, the greater the statistical association to the total GM volume. Regional volume loss in the cerebellar gray matter was associated with increasing EDSS and WM lesion volume. Furthermore, SPMS patients had significantly more gray matter volume loss in the cerebellum and the hippocampus compared to RRMS patients. Our results confirm histopathological studies emphasizing the important role of the cerebellum and the hippocampus in MS patients' disability.

Neuropsychological and neuroimaging underpinnings of schizoaffective disorder: a systematic review.

The neurobiological basis and nosological status of schizoaffective disorder remains elusive and controversial. This study provides a systematic review of neurocognitive and neuroimaging findings in the disorder. A comprehensive literature search was conducted via PubMed, ScienceDirect, Scopus and Web of Knowledge (from 1949 to 31st March 2015) using the keyword 'schizoaffective disorder' and any of the following terms: 'neuropsychology', 'cognition', 'structural neuroimaging', 'functional neuroimaging', 'multimodal', 'DTI' and 'VBM'. Only studies that explicitly examined a well defined sample, or subsample, of patients with schizoaffective disorder were included. Twenty-two of 43 neuropsychological and 19 of 51 neuroimaging articles fulfilled inclusion criteria. We found a general trend towards schizophrenia and schizoaffective disorder being related to worse cognitive performance than bipolar disorder. Grey matter volume loss in schizoaffective disorder is also more comparable to schizophrenia than to bipolar disorder which seems consistent across further neuroimaging techniques. Neurocognitive and neuroimaging abnormalities in schizoaffective disorder resemble more schizophrenia than bipolar disorder. This is suggestive for schizoaffective disorder being a subtype of schizophrenia or being part of the continuum spectrum model of psychosis, with schizoaffective disorder being more skewed towards schizophrenia than bipolar disorder.

Hypothalamic volume loss is associated with reduced melatonin output in Parkinson's disease.

ABSTRACTBackgroundRecent studies have suggested that melatonin—a hormone produced by the pineal gland under circadian control—contributes to PD‐related sleep dysfunction. We hypothesized that degenerative changes to the neural structures controlling pineal function (especially the suprachiasmatic nuclei of the anterior hypothalamus) may be responsible for reduced melatonin output in these patients. We compared hypothalamic volumes in PD patients with matched controls and determined whether volume loss correlated with reduced melatonin output in the PD group.MethodsA total of 12 PD patients and 12 matched controls underwent magnetic resonance imaging to determine hypothalamic volume. In addition, PD patients underwent 24‐hour blood sampling in a controlled environment to determine serum melatonin concentrations using enzyme‐linked immunosorbent assays.ResultsPD patients had significantly reduced hypothalamic gray matter volume when compared with matched controls. Melatonin levels were significantly associated with hypothalamic gray matter volume and disease severity in PD patients.ConclusionMelatonin levels are associated with hypothalamic gray matter volume loss and disease severity in PD patients. This provides anatomical and physiological support for an intrinsic sleep and circadian phenotype in PD. © 2016 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society

Assessing the Relationship between Neurocognitive Performance and Brain Volume in Chronic Moderate-Severe Traumatic Brain Injury.

Characterize the scale and pattern of long-term atrophy in gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) in chronic moderate-severe traumatic brain injury (TBI) and its relationship to neurocognitive outcomes. The TBI group consisted of 17 males with primary diagnosis of moderate-severe closed head injury. Participants had not received any systematic, post-acute rehabilitation and were recruited on average 8.36 years post-injury. The control group consisted of 15 males matched on age and education. Neurocognitive battery included widely used tests of verbal memory, visual memory, executive functioning, and attention/organization. GM, WM, and CSF volumes were calculated from segmented T1-weighted anatomical MR images. Voxel-based morphometry was employed to identify brain regions with differences in GM and WM between TBI and control groups. Chronic TBI results in significant neurocognitive impairments, and significant loss of GM and WM volume, and significant increase in CSF volume. Brain atrophy is not widespread, but it is rather distributed in a fronto-thalamic network. The extent of volume loss is predictive of performance on the neurocognitive tests. Significant brain atrophy and associated neurocognitive impairments during the chronic stages of TBI support the notion that TBI results in a chronic condition with lifelong implications.

MRI visual rating scales in the diagnosis of dementia: evaluation in 184 post-mortem confirmed cases.

Accurately distinguishing between different degenerative dementias during life is challenging but increasingly important with the prospect of disease-modifying therapies. Molecular biomarkers of dementia pathology are becoming available, but are not widely used in clinical practice. Conversely, structural neuroimaging is recommended in the evaluation of cognitive impairment. Visual assessment remains the primary method of scan interpretation, but in the absence of a structured approach, diagnostically relevant information may be under-utilized. This definitive, multi-centre study uses post-mortem confirmed cases as the gold standard to: (i) assess the reliability of six visual rating scales; (ii) determine their associated pattern of atrophy; (iii) compare their diagnostic value with expert scan assessment; and (iv) assess the accuracy of a machine learning approach based on multiple rating scales to predict underlying pathology. The study includes T1-weighted images acquired in three European centres from 184 individuals with histopathologically confirmed dementia (101 patients with Alzheimer's disease, 28 patients with dementia with Lewy bodies, 55 patients with frontotemporal lobar degeneration), and scans from 73 healthy controls. Six visual rating scales (medial temporal, posterior, anterior temporal, orbito-frontal, anterior cingulate and fronto-insula) were applied to 257 scans (two raters), and to a subset of 80 scans (three raters). Six experts also provided a diagnosis based on unstructured assessment of the 80-scan subset. The reliability and time taken to apply each scale was evaluated. Voxel-based morphometry was used to explore the relationship between each rating scale and the pattern of grey matter volume loss. Additionally, the performance of each scale to predict dementia pathology both individually and in combination was evaluated using a support vector classifier, which was compared with expert scan assessment to estimate clinical value. Reliability of scan assessment was generally good (intraclass correlation coefficient > 0.7), and average time to apply all six scales was <3 min. There was a very close association between the pattern of grey matter loss and the regions of interest each scale was designed to assess. Using automated classification based on all six rating scales, the accuracy (estimated using the area under the receiver-operator curves) for distinguishing each pathological group from controls ranged from 0.86-0.97; and from one another, 0.75-0.92. These results were substantially better than the accuracy of any single scale, at least as good as expert reads, and comparable to previous studies using molecular biomarkers. Visual rating scores from magnetic resonance images routinely acquired as part of the investigation of dementias, offer a practical, inexpensive means of improving diagnostic accuracy.