Victor Laluz
University of California, San Francisco
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Journal of Neurology, Neurosurgery, and Psychiatry | 2011
Adam L. Boxer; Ian R. Mackenzie; Bradley F. Boeve; Matt Baker; William W. Seeley; Richard Crook; Howard Feldman; Ging Yuek R Hsiung; Nicola J. Rutherford; Victor Laluz; Jennifer L. Whitwell; Dean Foti; Eric McDade; Jennifer R. Molano; Anna Karydas; Aleksandra Wojtas; Jill S. Goldman; Jacob Mirsky; Pheth Sengdy; Stephen J. DeArmond; Bruce L. Miller; Rosa Rademakers
Background Frontotemporal dementia-amyotrophic lateral sclerosis (FTD-ALS) is a heritable form of FTD, but the gene(s) responsible for the majority of autosomal dominant FTD-ALS cases have yet to be found. Previous studies have identified a region on chromosome 9p that is associated with FTD and ALS. Methods The authors report the clinical, volumetric MRI, neuropathological and genetic features of a new chromosome 9p-linked FTD-ALS family, VSM-20. Results Ten members of family VSM-20 displayed heterogeneous clinical phenotypes of isolated behavioural-variant FTD (bvFTD), ALS or a combination of the two. Parkinsonism was common, with one individual presenting with a corticobasal syndrome. Analysis of structural MRI scans from five affected family members revealed grey- and white-matter loss that was most prominent in the frontal lobes, with mild parietal and occipital lobe atrophy, but less temporal lobe atrophy than in 10 severity-matched sporadic bvFTD cases. Autopsy in three family members showed a consistent and unique subtype of FTLD-TDP pathology. Genome-wide linkage analysis conclusively linked family VSM-20 to a 28.3 cM region between D9S1808 and D9S251 on chromosome 9p, reducing the published minimal linked region to a 3.7 Mb interval. Genomic sequencing and expression analysis failed to identify mutations in the 10 known and predicted genes within this candidate region, suggesting that next-generation sequencing may be needed to determine the mutational mechanism associated with chromosome 9p-linked FTD-ALS. Conclusions Family VSM-20 significantly reduces the region linked to FTD-ALS on chromosome 9p. A distinct pattern of brain atrophy and neuropathological findings may help to identify other families with FTD-ALS caused by this genetic abnormality.
PLOS ONE | 2012
Geoffrey A. Kerchner; Caroline A. Racine; Sandra Hale; Reva Wilheim; Victor Laluz; Bruce L. Miller; Joel H. Kramer
Cognitive processing slows with age. We sought to determine the importance of white matter integrity, assessed by diffusion tensor imaging (DTI), at influencing cognitive processing speed among normal older adults, assessed using a novel battery of computerized, non-verbal, choice reaction time tasks. We studied 131 cognitively normal adults aged 55–87 using a cross-sectional design. Each participant underwent our test battery, as well as MRI with DTI. We carried out cross-subject comparisons using tract-based spatial statistics. As expected, reaction time slowed significantly with age. In diffuse areas of frontal and parietal white matter, especially the anterior corpus callosum, fractional anisotropy values correlated negatively with reaction time. The genu and body of the corpus callosum, superior longitudinal fasciculus, and inferior fronto-occipital fasciculus were among the areas most involved. This relationship was not explained by gray or white matter atrophy or by white matter lesion volume. In a statistical mediation analysis, loss of white matter integrity mediated the relationship between age and cognitive processing speed.
NeuroImage | 2009
Stephen M. Wilson; Jennifer M. Ogar; Victor Laluz; Matthew E. Growdon; Jung Jang; Shenly Glenn; Bruce L. Miller; Michael W. Weiner; Maria Luisa Gorno-Tempini
Degeneration of language regions in the dominant hemisphere can result in primary progressive aphasia (PPA), a clinical syndrome characterized by progressive deficits in speech and/or language function. Recent studies have identified three variants of PPA: progressive non-fluent aphasia (PNFA), semantic dementia (SD) and logopenic progressive aphasia (LPA). Each variant is associated with characteristic linguistic features, distinct patterns of brain atrophy, and different likelihoods of particular underlying pathogenic processes, which makes correct differential diagnosis highly clinically relevant. Evaluation of linguistic behavior can be challenging for non-specialists, and neuroimaging findings in single subjects are often difficult to evaluate by eye. We investigated the utility of automated structural MR image analysis to discriminate PPA variants (N=86) from each other and from normal controls (N=115). T1 images were preprocessed to obtain modulated grey matter (GM) images. Feature selection was performed with principal components analysis (PCA) on GM images as well as images of lateralized atrophy. PC coefficients were classified with linear support vector machines, and a cross-validation scheme was used to obtain accuracy rates for generalization to novel cases. The overall mean accuracy in discriminating between pairs of groups was 92.2%. For one pair of groups, PNFA and SD, we also investigated the utility of including several linguistic variables as features. Models with both imaging and linguistic features performed better than models with only imaging or only linguistic features. These results suggest that automated methods could assist in the differential diagnosis of PPA variants, enabling therapies to be targeted to likely underlying etiologies.
Neuropsychologia | 2011
Katherine L. Possin; Victor Laluz; Oscar Alcantar; Bruce L. Miller; Joel H. Kramer
Figure copy is the most common method of visual spatial assessment in dementia evaluations, but performance on this test may be multifactorial. We examined the neuroanatomical substrates of figure copy performance in 46 patients with Alzheimers disease (AD) and 48 patients with the behavioral variant of Frontotemporal dementia (bvFTD). A group of 94 neurologically healthy controls were studied for comparison. In AD, poor figure copy correlated significantly with right parietal cortex volumes but not with right dorsolateral prefrontal cortex volumes, whereas in bvFTD, figure copy performance correlated significantly with right dorsolateral prefrontal cortex volumes and there was only a trend with right parietal cortex volumes. The cognitive processes associated with figure copy performance also differed by diagnostic group such that figure copy was associated with spatial perception and attention in AD and with spatial planning and working memory in bvFTD. Spatial planning accounted for unique variance in the figure copy performance of bvFTD even after accounting for spatial perception, attention, and working memory. These results suggest that figure copy performance in AD and bvFTD is not anatomically specific and is differentially impacted by bottom-up and top-down aspects of visual spatial processing. Alternative methods of visual spatial assessment for dementia evaluations are proposed.
Journal of Neurology | 2012
Maria Carmela Tartaglia; Yu Zhang; Caroline Racine; Victor Laluz; John Neuhaus; Linda L. Chao; Joel H. Kramer; Howie Rosen; Bruce L. Miller; Michael W. Weiner
Cognitive deficits in behavioral-variant frontotemporal dementia (bvFTD) and AD are linked to frontal and temporal lobe gray matter (GM) pathology. The aim of this study was to assess the relative contribution of white (WM) and GM abnormalities to cognitive dysfunction in bvFTD and AD. Fractional anisotropy (FA) for the corpus callosum, cingulum (Cg), and uncinate fasciculus (Unc) was determined in 17 bvFTD and 10 AD patients who underwent neuropsychological testing. Regressions were performed to assess the relative contribution of WM and GM abnormalities to cognitive deficits. Multiple regression analysis revealed that in bvFTD, the left anterior Cg FA was related to executive function, the right anterior Cg FA to visual-spatial attention and working memory, the right posterior Cg to visual-constructional abilities and the left Unc FA to Modified Trails Errors. After adding corresponding GM volumes, the left anterior Cg FA, the right anterior cingulate FA, the right posterior cingulate FA and the left uncinate FA remained significant predictors of the cognitive tasks. In the AD group, the left posterior Cg FA and right descending Cg FA were related to visual recall performance but did not remain significant predictors when GM volumes were added to the regression. These results suggest that reduced integrity of specific WM tracts contribute to cognitive deficits observed in bvFTD after accounting for GM atrophy. In AD, memory impairment was related to WM tract injury but this relationship was no longer observed when GM volumes were included.
Neurology | 2009
Maria Carmela Tartaglia; Victor Laluz; Ann Rowe; Karen Findlater; D. H. Lee; K. Kennedy; Joel H. Kramer; Michael J. Strong
Background: Primary lateral sclerosis (PLS) is an idiopathic upper motor neuron degenerative disorder. The aim of this study was to compare brain volumes in patients with PLS and controls and determine whether differences were due to loss of gray matter (GM), white matter (WM), or both. Methods: T1-weighted images were acquired in patients with PLS and controls. Freesurfer was used for volumetric segmentation of whole brain, cortical GM, precentral and postcentral cortex, WM, corpus callosum, basal ganglia, thalamus, cerebellum, and CSF. Relationships were sought between disease severity, disease duration, age and brain volumes. Results: Eleven patients with PLS and 10 age-matched healthy controls were included in this study. Compared to control subjects, patients with PLS had significantly smaller whole brain (p = 0.043), frontal lobe (p = 0.036), precentral cortex (p = 0.016), and corpus callosum (p = 0.036) volumes. There was a trend toward a smaller thalamus (p = 0.051). Disease severity correlated with ventricular CSF volume (rho = −0.604, p = 0.025) and precentral cortex volume loss (rho = 0.599, p = 0.026). Disease duration tended to correlate with a loss of WM (rho = −0.636, p = 0.063). Conclusions: Our results suggest that there is focal atrophy in patients with primary lateral sclerosis compared with controls especially in the precentral cortex and the corpus callosum, specifically where there is transfer of motor fibers. ALS = amyotrophic lateral sclerosis; ALSFRS-R = ALS Functional Rating Scale; fSPGR = fast spoiled gradient echo sequence; GM = gray matter; PLS = primary lateral sclerosis; TE = echo time; TR = repetition time; WM = white matter.
Neuropsychology (journal) | 2011
Casey E. Krueger; Victor Laluz; Howard J. Rosen; John Neuhaus; Bruce L. Miller; Joel H. Kramer
OBJECTIVE To determine whether socioemotional disinhibition and executive dysfunction are related to dissociable patterns of brain atrophy in neurodegenerative disease. Previous studies have indicated that behavioral and cognitive dysfunction in neurodegenerative disease are linked to atrophy in different parts of the frontal lobes, but these prior studies did not establish that these relationships were specific, which would best be demonstrated by a double dissociation. METHOD Subjects included 157 patients with neurodegenerative disease. A semiautomated parcellation program (Freesurfer) was used to generate regional cortical volumes from structural MRI scans. Regions of interest (ROIs) included anterior cingulate cortex (ACC), orbitofrontal cortex (OFC), middle frontal gyrus (MFG), and inferior frontal gyrus (IFG). Socioemotional disinhibition was measured using the Neuropsychiatric Inventory. Principal component analysis including 3 tasks of executive function (EF; verbal fluency, Stroop Interference, modified Trails) was used to generate a single-factor score to represent EF. RESULTS Partial correlations between ROIs, disinhibition, and EF were computed after controlling for total intracranial volume, Mini-Mental State Examination, diagnosis, age, and education. Brain regions significantly correlated with disinhibition (ACC, OFC, IFG, and temporal lobes) and EF (MFG) were entered into separate hierarchical regressions to determine which brain regions predicted disinhibition and EF. OFC was the only brain region to significantly predict disinhibition, and MFG significantly predicted EF performance. A multivariate general linear model demonstrated a significant interaction between ROIs and cognitive-behavioral functions. CONCLUSIONS These results support a specific association between orbitofrontal areas and behavioral management as compared with dorsolateral areas and EF.
Neuropsychology (journal) | 2011
Lara Heflin; Victor Laluz; Jung Jang; Robin Ketelle; Bruce L. Miller; Joel H. Kramer
OBJECTIVE The Stroop (Stroop, 1935) is a frequently used neuropsychological test, with poor performance typically interpreted as indicative of disinhibition and frontal lobe damage. This study tested those interpretations by examining relationships between Stroop performance, behavioral disinhibition, and frontal lobe atrophy. METHOD Participants were 112 patients with mild cognitive impairment or dementia, recruited through UCSFs Memory and Aging Center. Participants received comprehensive dementia evaluations including structural MRI, neuropsychological testing, and informant interviews. Freesurfer, a semiautomated parcellation program, was used to analyze 1.5T MRI scans. Behavioral disinhibition was measured using the Neuropsychiatric Inventory (Cummings, 1997; Cummings et al., 1994) Disinhibition Scale. The sample (n = 112) mean age was 65.40 (SD = 8.60) years, education was 16.64 (SD = 2.54) years, and Mini-Mental State Examination (MMSE; Folstein et al., 1975) was 26.63 (SD = 3.32). Hierarchical linear regressions were used for data analysis. RESULTS Controlling for age, MMSE, and color naming, Stroop performance was not significantly associated with disinhibition (β = 0.01, ΔR² = 0.01, p = .29). Hierarchical regressions controlling for age, MMSE, color naming, intracranial volume, and temporal and parietal lobes, examined whether left or right hemisphere regions predict Stroop performance. Bilaterally, parietal lobe atrophy best predicted poorer Stroop (left: β = 0.0004, ΔR² = 0.02, p = .002; right: β = 0.0004, ΔR² = 0.02, p = .002). Of frontal regions, only dorsolateral prefrontal cortex atrophy predicted poorer Stroop (β = 0.001, ΔR² = 0.01, p = .03); left and right anterior cingulate cortex atrophy predicted better Stroop (left: β = -0.003, ΔR² = 0.01, p = .02; right: β = -0.004, ΔR² = 0.01, p = .02). CONCLUSION These findings suggest Stroop performance is a poor measure of behavioral disinhibition and frontal lobe atrophy even among a relatively high-risk population.
Acta Neuropathologica | 2010
Maria Carmela Tartaglia; Manu Sidhu; Victor Laluz; Caroline Racine; Gil D. Rabinovici; Kelly Creighton; Anna Karydas; Rosa Rademakers; Eric J. Huang; Bruce L. Miller; Stephen J. DeArmond; William W. Seeley
Sporadic corticobasal syndrome (CBS) has been associated with diverse pathological substrates, but frontotemporal lobar degeneration with TDP-43 immunoreactive inclusions (FTLD-TDP) has only been linked to CBS among progranulin mutation carriers. We report the clinical, neuropsychological, imaging, genetic, and neuropathological features of GS, a patient with sporadic corticobasal syndrome. Genetic testing revealed no mutations in the microtubule associated protein tau or progranulin (PGRN) genes, but GS proved homozygous for the T allele of the rs5848 PGRN variant. Autopsy showed ubiquitin and TDP-43 pathology most similar to a pattern previously associated with PGRN mutation carriers. These findings confirm that FTLD-TDP should be included in the pathological differential diagnosis for sporadic CBS.
Brain and behavior | 2014
Marc Sollberger; Howard J. Rosen; Tal Shany-Ur; Jerin Ullah; Christine M. Stanley; Victor Laluz; Michael W. Weiner; Stephen M. Wilson; Bruce L. Miller; Katherine P. Rankin
Neuroimaging studies examining neural substrates of impaired self‐awareness in patients with neurodegenerative diseases have shown divergent results depending on the modality (cognitive, emotional, behavioral) of awareness. Evidence is accumulating to suggest that self‐awareness arises from a combination of modality‐specific and large‐scale supramodal neural networks.