377 research outputs found

    Prospective memory impairments in Alzheimer's Disease and behavioral variant frontotemporal dementia: Clinical and neural correlates

    Get PDF
    BACKGROUND: Prospective memory (PM) refers to a future-oriented form of memory in which the individual must remember to execute an intended action either at a future point in time (Time-based) or in response to a specific event (Event-based). Lapses in PM are commonly exhibited in neurodegenerative disorders including Alzheimer's disease (AD) and frontotemporal dementia (FTD), however, the neurocognitive mechanisms driving these deficits remain unknown. OBJECTIVE: To investigate the clinical and neural correlates of Time- and Event-based PM disruption in AD and the behavioral-variant FTD (bvFTD). METHODS: Twelve AD, 12 bvFTD, and 12 healthy older Control participants completed a modified version of the Cambridge Prospective Memory test, which examines Time- and Event-based aspects of PM. All participants completed a standard neuropsychological assessment and underwent whole-brain structural MRI. RESULTS: AD and bvFTD patients displayed striking impairments across Time- and Event-based PM relative to Controls, however, Time-based PM was disproportionately affected in the AD group. Episodic memory dysfunction and hippocampal atrophy was found to correlate strongly with PM integrity in both patient groups, however, dissociable neural substrates were also evident for PM performance across dementia syndromes. CONCLUSION: Our study reveals the multifaceted nature of PM dysfunction in neurodegenerative disorders, and suggests common and dissociable neurocognitive mechanisms, which subtend these deficits in each patient group. Future studies of PM disturbance in dementia syndromes will be crucial for the development of successful interventions to improve functional independence in the patient's daily life

    Cognitive and neural mechanisms of sense of self in neurodegenerative disorders

    Get PDF
    The ability to maintain a coherent and continuous ‘sense of self’ is a fundamental component of being human, enabling us to interact and function successfully in everyday life. While a sense of self is commonly accepted to involve both ‘extended’ (i.e., memories) and ‘interpersonal’ (i.e., social) elements, the precise cognitive and neural mechanisms underlying these aspects of the self remain poorly understood. This thesis draws upon theory and methods from contemporary cognitive neuroscience to examine the neurocognitive underpinnings of the extended and interpersonal self in Alzheimer’s disease (AD), semantic dementia (SD), and the behavioural variant of frontotemporal dementia (bvFTD): neurodegenerative disorders involving progressive cognitive and behavioural change as the result of degeneration to distinct brain networks. Employing a novel experimental method (the ‘NExt’ taxonomy), Part 1 of the thesis (Chapters 3 and 4) reveals how a full spectrum of episodic and semantic memory representations may be drawn upon to support one’s past and future life stories, giving rise to a sense of continuity of the extended self. Part 2 (Chapters 5 and 6) illustrates how the complex social interactions that comprise the interpersonal self may be deconstructed into several distinct, yet interacting, psychological components. Furthermore, neuroimaging analyses uncover widespread neural regions to be associated with both the extended and interpersonal aspects of the self, incorporating brain networks beyond those typically implicated in self-related processing. The improved neurocognitive characterisation of the self provided by this thesis highlights the complex, multifaceted nature of this construct. Moreover, from a clinical perspective, distinct profiles of the self unveiled across AD, SD, and bvFTD reveal how ultimately, ‘all is not lost’ in neurodegeneration

    Should I trust you? Learning and memory of social interactions in dementia

    Get PDF
    Social relevance has an enhancing effect on learning and subsequent memory retrieval. The ability to learn from and remember social interactions may impact on susceptibility to financial exploitation, which is elevated in individuals with dementia. The current study aimed to investigate learning and memory of social interactions, the relationship between performance and financial vulnerability and the neural substrates underpinning performance in 14 Alzheimer's disease (AD) and 20 behavioural-variant frontotemporal dementia (bvFTD) patients and 20 age-matched healthy controls. On a “trust game” task, participants invested virtual money with counterparts who acted either in a trustworthy or untrustworthy manner over repeated interactions. A non-social “lottery” condition was also included. Participants’ learning of trust/distrust responses and subsequent memory for the counterparts and nature of the interactions was assessed. Carer-rated profiles of financial vulnerability were also collected. Relative to controls, both patient groups showed attenuated learning of trust/distrust responses, and lower overall memory for social interactions. Despite poor learning performance, both AD and bvFTD patients showed better memory of social compared to non-social interactions. Importantly, better memory for social interactions was associated with lower financial vulnerability in AD, but not bvFTD. Learning and memory of social interactions was associated with medial temporal and temporoparietal atrophy in AD, whereas a wider network of frontostriatal, insular, fusiform and medial temporal regions was implicated in bvFTD. Our findings suggest that although social relevance influences memory to an extent in both AD and bvFTD, this is associated with vulnerability to financial exploitation in AD only, and is underpinned by changes to different neural substrates. Theoretically, these findings provide novel insights into potential mechanisms that give rise to vulnerability in people with dementia, and open avenues for possible interventions

    Physiology and neuroanatomy of emotional reactivity in frontotemporal dementia

    Get PDF
    ABSTRACT AND SUMMARY OF EXPERIMENTAL FINDINGS The frontotemporal dementias (FTD) are a heterogeneous group of neurodegenerative diseases that cause variable profiles of fronto-insulo-temporal network disintegration. Loss of empathy and dysfunctional social interaction are a leading features of FTD and major determinants of care burden, but remain poorly understood and difficult to measure with conventional neuropsychological instruments. Building on a large body of work in the healthy brain showing that embodied responses are important components of emotional responses and empathy, I performed a series of experiments to examine the extent to which the induction and decoding of somatic physiological responses to the emotions of others are degraded in FTD, and to define the underlying neuroanatomical changes responsible for these deficits. I systematically studied a range of modalities across the entire syndromic spectrum of FTD, including daily life emotional sensitivity, the cognitive categorisation of emotions, interoceptive accuracy, automatic facial mimicry, autonomic responses, and structural and functional neuroanatomy to deconstruct aberrant emotional reactivity in these diseases. My results provide proof of principle for the utility of physiological measures in deconstructing complex socioemotional symptoms and suggest that these warrant further investigation as clinical biomarkers in FTD. Chapter 3: Using a heartbeat counting task, I found that interoceptive accuracy is impaired in semantic variant primary progressive aphasia, but correlates with sensitivity to the emotions of others across FTD syndromes. Voxel based morphometry demonstrated that impaired interoceptive accuracy correlates with grey matter volume in anterior cingulate, insula and amygdala. Chapter 4: Using facial electromyography to index automatic imitation, I showed that mimicry of emotional facial expressions is impaired in the behavioural and right temporal variants of FTD. Automatic imitation predicted correct identification of facial emotions in healthy controls and syndromes focussed on the frontal lobes and insula, but not in syndromes focussed on the temporal lobes, suggesting that automatic imitation aids emotion recognition only when social concepts and semantic stores are intact. Voxel based morphometry replicated previously identified neuroanatomical correlates of emotion identification ability, while automatic imitation was associated with grey matter volume in a visuomotor network including primary visual and motor cortices, visual motion area (MT/V5) and supplementary motor cortex. Chapter 5: By recording heart rate during viewing of facial emotions, I showed that the normal cardiac reactivity to emotion is impaired in FTD syndromes with fronto-insular atrophy (behavioural variant FTD and nonfluent variant primary progressive aphasia) but not in syndromes focussed on the temporal lobes (right temporal variant FTD and semantic variant primary progressive aphasia). Unlike automatic imitation, cardiac reactivity dissociated from emotion identification ability. Voxel based morphometry revealed grey matter correlates of cardiac reactivity in anterior cingulate, insula and orbitofrontal cortex. Chapter 6: Subjects viewed videos of facial emotions during fMRI scanning, with concomitant recording of heart rate and pupil size. I identified syndromic profiles of reduced activity in posterior face responsive regions including posterior superior temporal sulcus and fusiform face area. Emotion identification ability was predicted by activity in more anterior areas including anterior cingulate, insula, inferior frontal gyrus and temporal pole. Autonomic reactivity related to activity in both components of the central autonomic control network and regions responsible for processing the sensory properties of the stimuli

    Magnetic resonance imaging In Alzheimer’s disease, mild cognitive impairment and normal aging : Multi-template tensor-based morphometry and visual rating

    Get PDF
    Alzheimer's disease (AD) is the most common neurodegenerative disease preceded by a stage of mild cognitive impairment (MCI). The structural brain changes in AD can be detected more than 20 years before symptoms appear. If we are to reveal early brain changes in AD process, it is important to develop new diagnostic methods. Magnetic resonance imaging (MRI) is an imaging technique used in the diagnosis and monitoring of neurodegenerative diseases. Magnetic resonance imaging can detect the typical signs of brain atrophy of degenerative diseases, but similar changes can also be seen in normal aging. Visual rating methods (VRM) have been developed for visual evaluation of atrophy in dementia. A computer-based tensor-based morphometry (TBM) analysis is capable of assessing the brain volume changes typically encountered in AD. This study compared the VRM and TBM analysis in MCI and AD subjects by cross-sectional and longitudinal examination. The working hypothesis was that TBM analysis would be better than the visual methods in detecting atrophy in the brain. TBM was also used to analyze volume changes in the deep gray matter (DGM). Possible associations between TBM changes and neuropsychological tests performances were examined. This working hypothesis was that the structural DGM changes would be associated with impairments in cognitive functions. In the cross-sectional study, TBM distinguished the MCI from controls more sensitively than VRM, but the methods were equally effective in differentiating AD from MCI and controls. In the longitudinal study, both methods were equally good in the evaluation of atrophy in MCI, if the groups were sufficiently large and the disease progressed to AD. Volume changes were found in DGM structures, and the atrophy of DGM structures was related to cognitive impairment in AD. Based on these results, a TBM analysis is more sensitive in detecting brain changes in early AD as compared to VRM. In addition, the study produced information about the involvement of the deep gray matter in cognitive impairment in AD.Magneettikuvaus Alzheimerin taudissa, lievÀssÀ muistihÀiriössÀ ja normaalissa ikÀÀntymisessÀ: Tensoripohjainen muotoanalyysi ja visuaalinen arviointimenetelmÀ Alzheimerin tauti (AT) on yleisin dementoiva sairaus, jota edeltÀÀ yleensÀ lievÀ muistitoimintojen heikentyminen. AT:n aivomuutoksia voidaan todeta yli 20 vuotta ennen sairastumista. Jotta vielÀ varhaisempia AT:n aivomuutoksia voidaan todeta, on tÀrkeÀÀ kehittÀÀ uusia diagnostisia menetelmiÀ. Magneettikuvausta (MK) kÀytetÀÀn rappeuttavien aivosairauksien diagnostiikassa ja seurannassa. MK:lla voidaan havaita aivorappeumasairauksille tyypillistÀ kutistumista, mutta samanlaisia muutoksia voi esiintyÀ myös normaalissa ikÀÀntymisessÀ. Aivorappeuman arviointiin on kehitetty silmÀmÀÀrÀisiÀ arviointimenetelmiÀ. Tietokoneperusteinen tensoripohjainen muotoanalyysi (TPM) laskee esimerkiksi AT:lle tyypillisiÀ aivojen tilavuusmuutoksia. TÀmÀ tutkimus vertaili silmÀmÀÀrÀisiÀ arvioitimenetelmiÀ ja TPM:À lievÀssÀ muistitoimintojen heikentymisessÀ ja AT:ssa poikittais- ja pitkittÀistutkimuksella. TPM:n oletettiin olevan silmÀmÀÀrÀisiÀ menetelmiÀ parempi tunnistamaan aivojen kutistumismuutoksia. LisÀksi TPM:llÀ tutkittiin AT:iin liittyviÀ aivojen syvÀn harmaan aiheen muutoksia, joita verrattiin neuropsykologisten testien tuloksiin. SyvÀn harmaan aineen kutistumisen oletettiin olevan yhteydessÀ tietojenkÀsittelyn heikentymiseen. Tulosten perustella TPM tunnisti AT:iin liittyviÀ aivomuutoksia silmÀmÀÀrÀistÀ menetelmÀÀ paremmin jo lievÀn muistitoimintojen heikentymisen vaiheessa. AT:iin liittyviÀ aivomuutoksia löytyi myös aivojen syvÀstÀ harmaasta aineesta ja ne olivat osittain yhteydessÀ neuropsykologisten testien tuloksiin. Tutkimuksen perusteella TPM voi parantaa AT:n varhaisdiagnostiikkaa verrattuna silmÀmÀÀrÀisiin arviointimenetelmiin. Tutkimus antoi myös tietoa aivojen syvÀn harmaan aineen osallisuudesta ihmisen tietojenkÀsittelyyn
    • 

    corecore