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Rik Vandenberghe

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26 papers
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YNICL Journal 2025 Journal Article

Amyloid PET predicts atrophy in older adults without dementia: Results from the AMYPAD Prognostic & Natural History study

  • Leonard Pieperhoff
  • Luigi Lorenzini
  • Sophie Mastenbroek
  • Mario Tranfa
  • Mahnaz Shekari
  • Alle Meije Wink
  • Robin Wolz
  • Sylke Grootoonk

Highlights • Aβ-PET predicts atrophy in key brain regions in older adults without dementia.• Fusiform volumetric loss is linked to Aβ independent of CSF tau levels.• Temporal atrophy is stronger in women with higher Aβ burden.• APOE-ε4 carriers show larger Aβ-driven frontal & hippocampal atrophy.

ECAI Conference 2023 Conference Paper

Investigating Neural Fit Approaches for Sentence Embedding Model Paradigms

  • Helena Balabin
  • Antonietta Gabriella Liuzzi
  • Jingyuan Sun
  • Patrick Dupont
  • Rik Vandenberghe
  • Marie-Francine Moens

In recent years, representations from brain activity patterns and pre-trained language models have been linked to each other based on neural fits to validate hypotheses about language processing. Nonetheless, open questions remain about what intrinsic properties of language processing these neural fits reflect and whether they differ across neural fit approaches, brain networks, and models. In this study, we use parallel sentence and functional magnetic resonance imaging data to perform a comprehensive analysis of four paradigms (masked language modeling, pragmatic coherence, semantic comparison, and contrastive learning) representing linguistic hypotheses about sentence processing. We include three sentence embedding models for each paradigm, resulting in a total of 12 models, and examine differences in their neural fit to four different brain networks using regression-based neural encoding and Representational Similarity Analysis (RSA). Among the different models tested, GPT-2, SkipThoughts, and S-RoBERTa yielded the strongest correlations with language network patterns, whereas contrastive learning-based models resulted in overall low neural fits. Our findings demonstrate that neural fits vary across brain networks and models representing the same linguistic hypothesis (e. g. , GPT-2 and GPT-3). More importantly, we show the need for both neural encoding and RSA as complementary methods to provide full understanding of neural fits. All code used in the analysis is publicly available: https: //github. com/lcn-kul/sentencefmricomparison.

YNICL Journal 2023 Journal Article

Longitudinal changes in 18F-Flutemetamol amyloid load in cognitively intact APOE4 carriers versus noncarriers: Methodological considerations

  • Emma S. Luckett
  • Jolien Schaeverbeke
  • Steffi De Meyer
  • Katarzyna Adamczuk
  • Koen Van Laere
  • Patrick Dupont
  • Rik Vandenberghe

PURPOSE: Measuring longitudinal changes in amyloid load in the asymptomatic stage of Alzheimer's disease is of high relevance for clinical research and progress towards more efficacious, timely treatments. Apolipoprotein E ε4 (APOE4) has a well-established effect on the rate of amyloid accumulation. Here we investigated which region of interest and which reference region perform best at detecting the effect of APOE4 on longitudinal amyloid load in individuals participating in the Flemish Prevent Alzheimer's Disease Cohort KU Leuven (F-PACK). METHODS: ), and amyloid rate of change derived: (follow-up amyloid load - baseline amyloid load) / time interval (years). Four reference regions were used to derive amyloid load: whole cerebellum, cerebellar grey matter, eroded subcortical white matter, and pons. RESULTS: ). CONCLUSION: In this cognitively intact cohort, a composite neocortical volume of interest together with whole cerebellum or cerebellar grey matter as reference region are the methods of choice for detecting APOE4-dependent differences in amyloid rate of change.

YNICL Journal 2021 Journal Article

Differential early subcortical involvement in genetic FTD within the GENFI cohort

  • Martina Bocchetta
  • Emily G. Todd
  • Georgia Peakman
  • David M. Cash
  • Rhian S. Convery
  • Lucy L. Russell
  • David L. Thomas
  • Juan Eugenio Iglesias

BACKGROUND: Studies have previously shown evidence for presymptomatic cortical atrophy in genetic FTD. Whilst initial investigations have also identified early deep grey matter volume loss, little is known about the extent of subcortical involvement, particularly within subregions, and how this differs between genetic groups. METHODS: 480 mutation carriers from the Genetic FTD Initiative (GENFI) were included (198 GRN, 202 C9orf72, 80 MAPT), together with 298 non-carrier cognitively normal controls. Cortical and subcortical volumes of interest were generated using automated parcellation methods on volumetric 3 T T1-weighted MRI scans. Mutation carriers were divided into three disease stages based on their global CDR® plus NACC FTLD score: asymptomatic (0), possibly or mildly symptomatic (0.5) and fully symptomatic (1 or more). RESULTS: In all three groups, subcortical involvement was seen at the CDR 0.5 stage prior to phenoconversion, whereas in the C9orf72 and MAPT mutation carriers there was also involvement at the CDR 0 stage. In the C9orf72 expansion carriers the earliest volume changes were in thalamic subnuclei (particularly pulvinar and lateral geniculate, 9-10%) cerebellum (lobules VIIa-Crus II and VIIIb, 2-3%), hippocampus (particularly presubiculum and CA1, 2-3%), amygdala (all subregions, 2-6%) and hypothalamus (superior tuberal region, 1%). In MAPT mutation carriers changes were seen at CDR 0 in the hippocampus (subiculum, presubiculum and tail, 3-4%) and amygdala (accessory basal and superficial nuclei, 2-4%). GRN mutation carriers showed subcortical differences at CDR 0.5 in the presubiculum of the hippocampus (8%). CONCLUSIONS: C9orf72 expansion carriers show the earliest and most widespread changes including the thalamus, basal ganglia and medial temporal lobe. By investigating individual subregions, changes can also be seen at CDR 0 in MAPT mutation carriers within the limbic system. Our results suggest that subcortical brain volumes may be used as markers of neurodegeneration even prior to the onset of prodromal symptoms.

YNICL Journal 2021 Journal Article

Disease-related cortical thinning in presymptomatic granulin mutation carriers

  • Sergi Borrego-Écija
  • Roser Sala-Llonch
  • John van Swieten
  • Barbara Borroni
  • Fermín Moreno
  • Mario Masellis
  • Carmela Tartaglia
  • Caroline Graff

Mutations in the granulin gene (GRN) cause familial frontotemporal dementia. Understanding the structural brain changes in presymptomatic GRN carriers would enforce the use of neuroimaging biomarkers for early diagnosis and monitoring. We studied 100 presymptomatic GRN mutation carriers and 94 noncarriers from the Genetic Frontotemporal dementia initiative (GENFI), with MRI structural images. We analyzed 3T MRI structural images using the FreeSurfer pipeline to calculate the whole brain cortical thickness (CTh) for each subject. We also perform a vertex-wise general linear model to assess differences between groups in the relationship between CTh and diverse covariables as gender, age, the estimated years to onset and education. We also explored differences according to TMEM106B genotype, a possible disease modifier. Whole brain CTh did not differ between carriers and noncarriers. Both groups showed age-related cortical thinning. The group-by-age interaction analysis showed that this age-related cortical thinning was significantly greater in GRN carriers in the left superior frontal cortex. TMEM106B did not significantly influence the age-related cortical thinning. Our results validate and expand previous findings suggesting an increased CTh loss associated with age and estimated proximity to symptoms onset in GRN carriers, even before the disease onset.

YNIMG Journal 2020 Journal Article

Representation of associative and affective semantic similarity of abstract words in the lateral temporal perisylvian language regions

  • Karen Meersmans
  • Rose Bruffaerts
  • Tarik Jamoulle
  • Antonietta Gabriella Liuzzi
  • Simon De Deyne
  • Gert Storms
  • Patrick Dupont
  • Rik Vandenberghe

The examination of semantic cognition has traditionally identified word concreteness as well as valence as two of the principal dimensions in the representation of conceptual knowledge. More recently, corpus-based vector space models as well as graph-theoretical analysis of large-scale task-related behavioural responses have revolutionized our insight into how the meaning of words is structured. In this fMRI study, we apply representational similarity analysis to investigate the conceptual representation of abstract words. Brain activity patterns were related to a cued-association based graph as well as to a vector-based co-occurrence model of word meaning. Twenty-six subjects (19 females and 7 males) performed an overt repetition task during fMRI. First, we performed a searchlight classification procedure to identify regions where activity is discriminable between abstract and concrete words. These regions were left inferior frontal gyrus, the upper and lower bank of the superior temporal sulcus bilaterally, posterior middle temporal gyrus and left fusiform gyrus. Representational Similarity Analysis demonstrated that for abstract words, the similarity of activity patterns in the cortex surrounding the superior temporal sulcus bilaterally and in the left anterior superior temporal gyrus reflects the similarity in word meaning. These effects were strongest for semantic similarity derived from the cued association-based graph and for affective similarity derived from either of the two models. The latter effect was mainly driven by positive valence words. This research highlights the close neurobiological link between the information structure of abstract and affective word content and the similarity in activity pattern in the lateral and anterior temporal language system.

YNIMG Journal 2019 Journal Article

Left perirhinal cortex codes for semantic similarity between written words defined from cued word association

  • Antonietta Gabriella Liuzzi
  • Patrick Dupont
  • Ronald Peeters
  • Rose Bruffaerts
  • Simon De Deyne
  • Gert Storms
  • Rik Vandenberghe

Knowledge of visual and nonvisual attributes of concrete entities is distributed over neocortical uni- and polymodal association cortex. Here we investigated the role of left perirhinal cortex in explicit knowledge retrieval from written words. We examined whether it extended across visual and nonvisual properties, animate and inanimate entities, how this differed from picture input and how specific it was for perirhinal cortex compared to surrounding structures. The semantic similarity between stimuli was determined on the basis of a word association-based model. Eighteen participants participated in this event-related fMRI experiment. During property verification, the left perirhinal cortex coded for the similarity in meaning between written words. No differences were found between visual and nonvisual properties or between animate and inanimate entities. Among the surrounding regions, a semantic similarity effect for written words was also present in the left parahippocampal gyrus, but not in the hippocampus nor in the right perirhinal cortex. Univariate analysis revealed higher activity for visual property verification in visual processing regions and for nonvisual property verification in an extended system encompassing the superior temporal sulcus along its anterior-posterior axis, the inferior and the superior frontal gyrus. The association strength between the concept and the property correlated positively with fMRI response amplitude in visual processing regions, and negatively with response amplitude in left inferior and superior frontal gyrus. The current findings establish that input-modality determines the semantic similarity effect in left perirhinal cortex more than the content of the knowledge retrieved or the semantic control demand do. We propose that left perirhinal cortex codes for the association between a concrete written word and the object it refers to and operates as a connector hub linking written word input to the distributed cortical representation of word meaning.

YNIMG Journal 2019 Journal Article

The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint

  • Enrico Premi
  • Vince D. Calhoun
  • Matteo Diano
  • Stefano Gazzina
  • Maura Cosseddu
  • Antonella Alberici
  • Silvana Archetti
  • Donata Paternicò

Frontotemporal Dementia (FTD) is preceded by a long period of subtle brain changes, occurring in the absence of overt cognitive symptoms, that need to be still fully characterized. Dynamic network analysis based on resting-state magnetic resonance imaging (rs-fMRI) is a potentially powerful tool for the study of preclinical FTD. In the present study, we employed a "chronnectome" approach (recurring, time-varying patterns of connectivity) to evaluate measures of dynamic connectivity in 472 at-risk FTD subjects from the Genetic Frontotemporal dementia research Initiative (GENFI) cohort. We considered 249 subjects with FTD-related pathogenetic mutations and 223 mutation non-carriers (HC). Dynamic connectivity was evaluated using independent component analysis and sliding-time window correlation to rs-fMRI data, and meta-state measures of global brain flexibility were extracted. Results show that presymptomatic FTD exhibits diminished dynamic fluidity, visiting less meta-states, shifting less often across them, and travelling through a narrowed meta-state distance, as compared to HC. Dynamic connectivity changes characterize preclinical FTD, arguing for the desynchronization of the inner fluctuations of the brain. These changes antedate clinical symptoms, and might represent an early signature of FTD to be used as a biomarker in clinical trials.

YNICL Journal 2019 Journal Article

White matter hyperintensities in progranulin-associated frontotemporal dementia: A longitudinal GENFI study

  • Carole H. Sudre
  • Martina Bocchetta
  • Carolin Heller
  • Rhian Convery
  • Mollie Neason
  • Katrina M. Moore
  • David M. Cash
  • Ione O.C. Woollacott

Frontotemporal dementia (FTD) is a heterogeneous group of neurodegenerative disorders with both sporadic and genetic forms. Mutations in the progranulin gene (GRN) are a common cause of genetic FTD, causing either a behavioural presentation or, less commonly, language impairment. Presence on T2-weighted images of white matter hyperintensities (WMH) has been previously shown to be more commonly associated with GRN mutations rather than other forms of FTD. The aim of the current study was to investigate the longitudinal change in WMH and the associations of WMH burden with grey matter (GM) loss, markers of neurodegeneration and cognitive function in GRN mutation carriers. 336 participants in the Genetic FTD Initiative (GENFI) study were included in the analysis: 101 presymptomatic and 32 symptomatic GRN mutation carriers, as well as 203 mutation-negative controls. 39 presymptomatic and 12 symptomatic carriers, and 73 controls also had longitudinal data available. Participants underwent MR imaging acquisition including isotropic 1 mm T1-weighted and T2-weighted sequences. WMH were automatically segmented and locally subdivided to enable a more detailed representation of the pathology distribution. Log-transformed WMH volumes were investigated in terms of their global and regional associations with imaging measures (grey matter volumes), biomarker concentrations (plasma neurofilament light chain, NfL, and glial fibrillary acidic protein, GFAP), genetic status (TMEM106B risk genotype) and cognition (tests of executive function). Analyses revealed that WMH load was higher in both symptomatic and presymptomatic groups compared with controls and this load increased over time. In particular, lesions were seen periventricularly in frontal and occipital lobes, progressing to medial layers over time. However, there was variability in the WMH load across GRN mutation carriers - in the symptomatic group 25.0% had none/mild load, 37.5% had medium and 37.5% had a severe load - a difference not fully explained by disease duration. GM atrophy was strongly associated with WMH load both globally and in separate lobes, and increased WMH burden in the frontal, periventricular and medial regions was associated with worse executive function. Furthermore, plasma NfL and to a lesser extent GFAP concentrations were seen to be associated with increased lesion burden. Lastly, the presence of the homozygous TMEM106B rs1990622 TT risk genotypic status was associated with an increased accrual of WMH per year. In summary, WMH occur in GRN mutation carriers and accumulate over time, but are variable in their severity. They are associated with increased GM atrophy and executive dysfunction. Furthermore, their presence is associated with markers of WM damage (NfL) and astrocytosis (GFAP), whilst their accrual is modified by TMEM106B genetic status. WMH load may represent a target marker for trials of disease modifying therapies in individual patients but the variability across the GRN population would prevent use of such markers as a global outcome measure across all participants in a trial.

YNICL Journal 2017 Journal Article

Cholinergic depletion and basal forebrain volume in primary progressive aphasia

  • Jolien Schaeverbeke
  • Charlotte Evenepoel
  • Rose Bruffaerts
  • Koen Van Laere
  • Guy Bormans
  • Eva Dries
  • Thomas Tousseyn
  • Natalie Nelissen

C]-Methylpiperidin-4-yl propionate (PMP)-PET with arterial sampling and metabolite correction. Whole brain and BF volumes were quantified using voxel-based morphometry on high-resolution magnetic resonance imaging (MRI) scans. In the PPA group, only LV cases showed decreases in AChE activity levels compared to controls. Surprisingly, a substantial number of SV cases showed significant AChE activity increases compared to controls. BF volume did not correlate with AChE activity levels in PPA. To conclude, in our sample of PPA patients, LV but not SV was associated with cholinergic depletion. BF atrophy in PPA does not imply cholinergic depletion.

YNIMG Journal 2017 Journal Article

Cross-modal representation of spoken and written word meaning in left pars triangularis

  • Antonietta Gabriella Liuzzi
  • Rose Bruffaerts
  • Ronald Peeters
  • Katarzyna Adamczuk
  • Emmanuel Keuleers
  • Simon De Deyne
  • Gerrit Storms
  • Patrick Dupont

The correspondence in meaning extracted from written versus spoken input remains to be fully understood neurobiologically. Here, in a total of 38 subjects, the functional anatomy of cross-modal semantic similarity for concrete words was determined based on a dual criterion: First, a voxelwise univariate analysis had to show significant activation during a semantic task (property verification) performed with written and spoken concrete words compared to the perceptually matched control condition. Second, in an independent dataset, in these clusters, the similarity in fMRI response pattern to two distinct entities, one presented as a written and the other as a spoken word, had to correlate with the similarity in meaning between these entities. The left ventral occipitotemporal transition zone and ventromedial temporal cortex, retrosplenial cortex, pars orbitalis bilaterally, and the left pars triangularis were all activated in the univariate contrast. Only the left pars triangularis showed a cross-modal semantic similarity effect. There was no effect of phonological nor orthographic similarity in this region. The cross-modal semantic similarity effect was confirmed by a secondary analysis in the cytoarchitectonically defined BA45. A semantic similarity effect was also present in the ventral occipital regions but only within the visual modality, and in the anterior superior temporal cortex only within the auditory modality. This study provides direct evidence for the coding of word meaning in BA45 and positions its contribution to semantic processing at the confluence of input-modality specific pathways that code for meaning within the respective input modalities.

YNICL Journal 2016 Journal Article

Face shape and face identity processing in behavioral variant fronto-temporal dementia: A specific deficit for familiarity and name recognition of famous faces

  • François-Laurent De Winter
  • Dorien Timmers
  • Beatrice de Gelder
  • Marc Van Orshoven
  • Marleen Vieren
  • Miriam Bouckaert
  • Gert Cypers
  • Jo Caekebeke

Deficits in face processing have been described in the behavioral variant of fronto-temporal dementia (bvFTD), primarily regarding the recognition of facial expressions. Less is known about face shape and face identity processing. Here we used a hierarchical strategy targeting face shape and face identity recognition in bvFTD and matched healthy controls. Participants performed 3 psychophysical experiments targeting face shape detection (Experiment 1), unfamiliar face identity matching (Experiment 2), familiarity categorization and famous face-name matching (Experiment 3). The results revealed group differences only in Experiment 3, with a deficit in the bvFTD group for both familiarity categorization and famous face-name matching. Voxel-based morphometry regression analyses in the bvFTD group revealed an association between grey matter volume of the left ventral anterior temporal lobe and familiarity recognition, while face-name matching correlated with grey matter volume of the bilateral ventral anterior temporal lobes. Subsequently, we quantified familiarity-specific and name-specific recognition deficits as the sum of the celebrities of which respectively only the name or only the familiarity was accurately recognized. Both indices were associated with grey matter volume of the bilateral anterior temporal cortices. These findings extent previous results by documenting the involvement of the left anterior temporal lobe (ATL) in familiarity detection and the right ATL in name recognition deficits in fronto-temporal lobar degeneration.

YNIMG Journal 2015 Journal Article

Parametric imaging and quantitative analysis of the PET amyloid ligand [ 18 F]flutemetamol

  • Kerstin Heurling
  • Chris Buckley
  • Koen Van Laere
  • Rik Vandenberghe
  • Mark Lubberink

Objectives The amyloid imaging PET tracer [18F]flutemetamol was recently approved by regulatory authorities in the US and EU for estimation of β-amyloid neuritic plaque density in cognitively impaired patients. While the clinical assessment in line with the label is a qualitative visual assessment of 20min summation images, the aim of this work was to assess the performance of various parametric analysis methods and standardized uptake value ratio (SUVR), in comparison with arterial input based compartment modeling. Methods The cerebellar cortex was used as reference region in the generation of parametric images of binding potential (BPND) using multilinear reference tissue methods (MRTMo, MRTM, MRTM2), basis function implementations of the simplified reference tissue model (here called RPM) and the two-parameter version of SRTM (here called RPM2) and reference region based Logan graphical analysis. Regionally averaged values of parametric results were compared with the BPND of corresponding regions from arterial input compartment modeling. Dynamic PET data were also pre-filtered using a 3D Gaussian smoothing of 5mm FWHM and the effect of the filtering on the correlation was investigated. In addition, the use of SUVR images was evaluated. The accuracy of several kinetic models were also assessed through simulations of time–activity curves based on clinical data for low and high binding adding different levels of statistical noise representing regions and individual voxels. Results The highest correlation was observed for pre-filtered reference Logan, with correction for individual reference region efflux rate constant k2′ (R2 =0. 98), or using a cohort mean k2′ (R2 =0. 97). Pre-processing filtered MRTM2, unfiltered SUVR over the scanning window 70–90min and unfiltered RPM also demonstrated high correlations with arterial input compartment modeling (MRTM2 R2 =0. 97, RPM R2 =0. 96 and SUVR R2 =0. 95) Poorest agreement was seen with MRTM without pre-filtering (R2 =0. 68). Conclusions Parametric imaging allows for quantification without introducing bias due to selection of anatomical regions, and thus enables objective statistical voxel-based comparisons of tracer binding. Several parametric modeling approaches perform well, especially after Gaussian pre-filtering of the dynamic data. However, the semi-quantitative use of SUVR between 70 and 90min has comparable agreement with full kinetic modeling, thus supporting its use as a simplified method for quantitative assessment of tracer uptake.

YNICL Journal 2013 Journal Article

Amyloid imaging in cognitively normal individuals, at-risk populations and preclinical Alzheimer's disease

  • Gaël Chételat
  • Renaud La Joie
  • Nicolas Villain
  • Audrey Perrotin
  • Vincent de La Sayette
  • Francis Eustache
  • Rik Vandenberghe

Recent developments of PET amyloid ligands have made it possible to visualize the presence of Aβ deposition in the brain of living participants and to assess the consequences especially in individuals with no objective sign of cognitive deficits. The present review will focus on amyloid imaging in cognitively normal elderly, asymptomatic at-risk populations, and individuals with subjective cognitive decline. It will cover the prevalence of amyloid-positive cases amongst cognitively normal elderly, the influence of risk factors for AD, the relationships to cognition, atrophy and prognosis, longitudinal amyloid imaging and ethical aspects related to amyloid imaging in cognitively normal individuals. Almost ten years of research have led to a few consensual and relatively consistent findings: some cognitively normal elderly have Aβ deposition in their brain, the prevalence of amyloid-positive cases increases in at-risk populations, the prognosis for these individuals is worse than for those with no Aβ deposition, and significant increase in Aβ deposition over time is detectable in cognitively normal elderly. More inconsistent findings are still under debate; these include the relationship between Aβ deposition and cognition and brain volume, the sequence and cause-to-effect relations between the different AD biomarkers, and the individual outcome associated with an amyloid positive versus negative scan. Preclinical amyloid imaging also raises important ethical issues. While amyloid imaging is definitely useful to understand the role of Aβ in early stages, to define at-risk populations for research or for clinical trial, and to assess the effects of anti-amyloid treatments, we are not ready yet to translate research results into clinical practice and policy. More researches are needed to determine which information to disclose from an individual amyloid imaging scan, the way of disclosing such information and the impact on individuals and on society.

YNICL Journal 2013 Journal Article

Amyloid PET in clinical practice: Its place in the multidimensional space of Alzheimer's disease

  • Rik Vandenberghe
  • Katarzyna Adamczuk
  • Patrick Dupont
  • Koen Van Laere
  • Gaël Chételat

Amyloid imaging is currently introduced to the market for clinical use. We will review the evidence demonstrating that the different amyloid PET ligands that are currently available are valid biomarkers for Alzheimer-related β amyloidosis. Based on recent findings from cross-sectional and longitudinal imaging studies using different modalities, we will incorporate amyloid imaging into a multidimensional model of Alzheimer's disease. Aside from the critical role in improving clinical trial design for amyloid-lowering drugs, we will also propose a tentative algorithm for when it may be useful in a memory clinic environment. Gaps in our evidence-based knowledge of the added value of amyloid imaging in a clinical context will be identified and will need to be addressed by dedicated studies of clinical utility.

YNIMG Journal 2013 Journal Article

Binary classification of 18F-flutemetamol PET using machine learning: Comparison with visual reads and structural MRI

  • Rik Vandenberghe
  • Natalie Nelissen
  • Eric Salmon
  • Adrian Ivanoiu
  • Steen Hasselbalch
  • Allan Andersen
  • Alex Korner
  • Lennart Minthon

18F-flutemetamol is a positron emission tomography (PET) tracer for in vivo amyloid imaging. The ability to classify amyloid scans in a binary manner as ‘normal’ versus ‘Alzheimer-like’, is of high clinical relevance. We evaluated whether a supervised machine learning technique, support vector machines (SVM), can replicate the assignments made by visual readers blind to the clinical diagnosis, which image components have highest diagnostic value according to SVM and how 18F-flutemetamol-based classification using SVM relates to structural MRI-based classification using SVM within the same subjects. By means of SVM with a linear kernel, we analyzed 18F-flutemetamol scans and volumetric MRI scans from 72 cases from the 18F-flutemetamol phase 2 study (27 clinically probable Alzheimer's disease (AD), 20 amnestic mild cognitive impairment (MCI), 25 controls). In a leave-one-out approach, we trained the 18F-flutemetamol based classifier by means of the visual reads and tested whether the classifier was able to reproduce the assignment based on visual reads and which voxels had the highest feature weights. The 18F-flutemetamol based classifier was able to replicate the assignments obtained by visual reads with 100% accuracy. The voxels with highest feature weights were in the striatum, precuneus, cingulate and middle frontal gyrus. Second, to determine concordance between the gray matter volume- and the 18F-flutemetamol-based classification, we trained the classifier with the clinical diagnosis as gold standard. Overall sensitivity of the 18F-flutemetamol- and the gray matter volume-based classifiers were identical (85. 2%), albeit with discordant classification in three cases. Specificity of the 18F-flutemetamol based classifier was 92% compared to 68% for MRI. In the MCI group, the 18F-flutemetamol based classifier distinguished more reliably between converters and non-converters than the gray matter-based classifier. The visual read-based binary classification of 18F-flutemetamol scans can be replicated using SVM. In this sample the specificity of 18F-flutemetamol based SVM for distinguishing AD from controls is higher than that of gray matter volume-based SVM.

YNIMG Journal 2013 Journal Article

Cytoarchitectonic mapping of attentional selection and reorienting in parietal cortex

  • Céline R. Gillebert
  • Dante Mantini
  • Ronald Peeters
  • Patrick Dupont
  • Rik Vandenberghe

Selection and reorienting are two fundamental aspects of spatial attention. By means of event-related fMRI in a total of 26 subjects, we localized these two processes within a same experiment applying a probabilistic cytoarchitectonic reference frame. In a classical spatial cueing paradigm, the target was presented at the cued location either alone (60% of trials) or in combination with a contralateral distracter (‘competition trials’, 20% of trials), or at a location opposite to the cued location (‘invalidly cued trials’, 20% of trials). In a sensory control experiment we differentiated between the attentional and the sensory effects of the distracter. In areas hIP1 and hIP3, competition trials exerted a significantly stronger attentional effect than invalidity trials. Conversely, area PF in the right hemisphere showed an invalidity effect in the absence of competition effect. A third type of response was found in areas PFm and PGa which showed both an invalidity and a competition effect. The combined study of selection and reorienting using a cytoarchitectonic reference frame enabled us to resolve the wide between-study variance in temporoparietal coordinates associated with the invalidity effect. Furthermore, the study demonstrated within a same experiment a functional dissociation between reorienting and selection in parietal cortex.

YNICL Journal 2013 Journal Article

Polymorphism of brain derived neurotrophic factor influences β amyloid load in cognitively intact apolipoprotein E ε4 carriers

  • Katarzyna Adamczuk
  • An-Sofie De Weer
  • Natalie Nelissen
  • Kewei Chen
  • Kristel Sleegers
  • Karolien Bettens
  • Christine Van Broeckhoven
  • Mathieu Vandenbulcke

Aside from apolipoprotein E (APOE), genetic risk factors for β amyloid deposition in cognitively intact individuals remain to be identified. Brain derived neurotrophic factor (BDNF) modulates neural plasticity, which has been implicated in Alzheimer's disease. We examined in cognitively normal older adults whether the BDNF codon 66 polymorphism affects β amyloid burden and the relationship between β amyloid burden and cognitive scores, and how this relates to the effect of APOE. Amyloid load was measured by means of (18)F-flutemetamol PET in 64 community-recruited cognitively intact individuals (mean age 66, S.D. 5.1). Recruitment was stratified according to a factorial design with APOE (ε4 allele present vs absent) and BDNF (met allele at codon 66 present vs absent) as factors. Individuals in the four resulting cells were matched by the number of cases, age, and gender. Among the APOE ε4 carriers, BDNF met positive subjects had a significantly higher amyloid load than BDNF met negative subjects, while BDNF met carrier status did not have an effect in APOE ε4 noncarriers. This interaction effect was localized to precuneus, orbitofrontal cortex, gyrus rectus, and lateral prefrontal cortex. In the APOE ε4/BDNF met carriers, a significant inverse relationship existed between episodic memory scores and amyloid burden but not in any of the other groups. This hypothesis-generating experiment highlights a potential role of BDNF polymorphisms in the preclinical phase of β amyloid deposition and also suggests that BDNF codon 66 polymorphisms may influence resilience against β amyloid-related effects on cognition.

YNIMG Journal 2013 Journal Article

Right fusiform response patterns reflect visual object identity rather than semantic similarity

  • Rose Bruffaerts
  • Patrick Dupont
  • Sophie De Grauwe
  • Ronald Peeters
  • Simon De Deyne
  • Gerrit Storms
  • Rik Vandenberghe

We previously reported the neuropsychological consequences of a lesion confined to the middle and posterior part of the right fusiform gyrus (case JA) causing a partial loss of knowledge of visual attributes of concrete entities in the absence of category-selectivity (animate versus inanimate). We interpreted this in the context of a two-step model that distinguishes structural description knowledge from associative-semantic processing and implicated the lesioned area in the former process. To test this hypothesis in the intact brain, multi-voxel pattern analysis was used in a series of event-related fMRI studies in a total of 46 healthy subjects. We predicted that activity patterns in this region would be determined by the identity of rather than the conceptual similarity between concrete entities. In a prior behavioral experiment features were generated for each entity by more than 1000 subjects. Based on a hierarchical clustering analysis the entities were organised into 3 semantic clusters (musical instruments, vehicles, tools). Entities were presented as words or pictures. With foveal presentation of pictures, cosine similarity between fMRI response patterns in right fusiform cortex appeared to reflect both the identity of and the semantic similarity between the entities. No such effects were found for words in this region. The effect of object identity was invariant for location, scaling, orientation axis and color (grayscale versus color). It also persisted for different exemplars referring to a same concrete entity. The apparent semantic similarity effect however was not invariant. This study provides further support for a neurobiological distinction between structural description knowledge and processing of semantic relationships and confirms the role of right mid-posterior fusiform cortex in the former process, in accordance with previous lesion evidence.

YNIMG Journal 2012 Journal Article

Attentional priorities and access to short-term memory: Parietal interactions

  • Céline R. Gillebert
  • Mads Dyrholm
  • Signe Vangkilde
  • Søren Kyllingsbæk
  • Ronald Peeters
  • Rik Vandenberghe

The intraparietal sulcus (IPS) has been implicated in selective attention as well as visual short-term memory (VSTM). To contrast mechanisms of target selection, distracter filtering, and access to VSTM, we combined behavioral testing, computational modeling and functional magnetic resonance imaging. Sixteen healthy subjects participated in a change detection task in which we manipulated both target and distracter set sizes. We directly compared the IPS response as a function of the number of targets and distracters in the display and in VSTM. When distracters were not present, the posterior and middle segments of IPS showed the predicted asymptotic activity increase with an increasing target set size. When distracters were added to a single target, activity also increased as predicted. However, the addition of distracters to multiple targets suppressed both middle and posterior IPS activities, thereby displaying a significant interaction between the two factors. The interaction between target and distracter set size in IPS could not be accounted for by a simple explanation in terms of number of items accessing VSTM. Instead, it led us to a model where items accessing VSTM receive differential weights depending on their behavioral relevance, and secondly, a suppressive effect originates during the selection phase when multiple targets and multiple distracters are simultaneously present. The reverse interaction between target and distracter set size was significant in the right temporoparietal junction (TPJ), where activity was highest for a single target compared to any other condition. Our study reconciles the role of middle IPS in attentional selection and biased competition with its role in VSTM access.

YNIMG Journal 2012 Journal Article

Chronometry of word and picture identification: Common and modality-specific effects

  • Leen Van Doren
  • Maarten Schrooten
  • Katarzyna Adamczuk
  • Patrick Dupont
  • Rik Vandenberghe

Based on a previous fMRI connectivity analysis, we previously proposed that long-distance connections between left inferior frontal sulcus and left occipitotemporal sulcus mediate access to visual short-term memory both for written words and pictures enhancing conscious perception and successful encoding in an amodal manner. Using a 64-channel event-related potential electrode system in 19 young cognitively intact volunteers, we determined the chronometry of common and input-modality specific effects of word and picture identification and subsequent memory retrieval. Stimulus durations were calibrated per subject, modality and run so as to reach a 50% positive identification report. The earliest main effect of a positive identification report occurred between 180 and 200ms, was common for both input-modalities, had a positive polarity and was located at around CPz. This effect was followed between 270 and 450ms by additional common positive-polarity effects at centrofrontal electrode sites and by common negative effects at P7/P8, TP7/TP8 and T8. Each of the later effects was closely associated not only with identification but also with subsequent memory retrieval. The earliest input-modality specific effect of conscious identification that we detected occurred from 280 till 440ms at P8. Our findings are in line with a model where the initial stages of perceptual identification and visual short-term memory access rely on long-distance connections that are shared between written words and pictures.

YNIMG Journal 2010 Journal Article

The amodal system for conscious word and picture identification in the absence of a semantic task

  • Leen Van Doren
  • Patrick Dupont
  • Sophie De Grauwe
  • Ronald Peeters
  • Rik Vandenberghe

Previous studies using explicit semantic tasks, such as category or similarity judgments, have revealed considerable neuroanatomical overlap between processing of the meaning of words and pictures. This result may have been influenced by the semantic executive control required by such tasks. We examined the degree of overlap while minimizing semantic executive demands. In a first fMRI experiment (n =28), we titrated word (35. 3 ms, SD=9. 6) and picture presentation duration (50. 7 ms, SD=15. 8) such that conscious stimulus identification became a stochastic process, with a 50% chance of success. Subjects had to indicate by key press whether or not they had been able to identify the stimulus. In a second fMRI experiment (n =19), the identification runs were followed by a surprise forced-choice recognition task and events were sorted on the basis of subsequent memory retrieval success rather than a subjective consciousness report. For both words and pictures, when stimulus processing exceeded the conscious identification threshold, the left occipitotemporal sulcus (OTS), intraparietal sulcus, inferior frontal junction, and middle third of the inferior frontal sulcus (IFS) were more active than when subjects had been unable to identify the stimulus. For both words and pictures, activity in two of these regions, IFS and OTS, predicted subsequent memory retrieval success. A Bayesian comparison revealed that the effective connectivity between IFS and the word- or picture-specific systems was mainly mediated via its connections with OTS. The amodal nature of left OTS and IFS involvement in word and picture processing extends to tasks with minimal semantic executive demands.