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Frontiers in Neuroinformatics 2021Deep neural networks, inspired by information processing in the brain, can achieve human-like performance for various tasks. However, research efforts to use these...
Deep neural networks, inspired by information processing in the brain, can achieve human-like performance for various tasks. However, research efforts to use these networks as models of the brain have primarily focused on modeling healthy brain function so far. In this work, we propose a paradigm for modeling neural diseases with deep learning and demonstrate its use in modeling posterior cortical atrophy (PCA), an atypical form of Alzheimer's disease affecting the visual cortex. We simulated PCA in deep convolutional neural networks (DCNNs) trained for visual object recognition by randomly injuring connections between artificial neurons. Results showed that injured networks progressively lost their object recognition capability. Simulated PCA impacted learned representations hierarchically, as networks lost object-level representations before category-level representations. Incorporating this paradigm in computational neuroscience will be essential for developing models of the brain and neurological diseases. The paradigm can be expanded to incorporate elements of neural plasticity and to other cognitive domains such as motor control, auditory cognition, language processing, and decision making.
PubMed: 34867256
DOI: 10.3389/fninf.2021.748370 -
Brain Sciences Oct 2021Stroke is the leading cause of cortical deafness (CD), the most severe form of central hearing impairment. CD remains poorly characterized and perhaps underdiagnosed. We... (Review)
Review
BACKGROUND
Stroke is the leading cause of cortical deafness (CD), the most severe form of central hearing impairment. CD remains poorly characterized and perhaps underdiagnosed. We perform a systematic review to describe the clinical and radiological features of stroke-associated CD.
METHODS
PubMed and the Web of Science databases were used to identify relevant publications up to 30 June 2021 using the MeSH terms: "deafness" and "stroke", or "hearing loss" and "stroke" or "auditory agnosia" and "stroke".
RESULTS
We found 46 cases, caused by bilateral lesions within the central auditory pathway, mostly located within or surrounding the superior temporal lobe gyri and/or the Heschl's gyri (30/81%). In five (13.51%) patients, CD was caused by the subcortical hemispheric and in two (0.05%) in brainstem lesions. Sensorineural hearing loss was universal. Occasionally, a misdiagnosis by peripheral or psychiatric disorders occurred. A few (20%) had clinical improvement, with a regained oral conversation or evolution to pure word deafness (36.6%). A persistent inability of oral communication occurred in 43.3%. A full recovery of conversation was restricted to patients with subcortical lesions.
CONCLUSIONS
Stroke-associated CD is rare, severe and results from combinations of cortical and subcortical lesions within the central auditory pathway. The recovery of functional hearing occurs, essentially, when caused by subcortical lesions.
PubMed: 34827382
DOI: 10.3390/brainsci11111383 -
Brain Communications 2021Posterior cortical atrophy is a neurodegenerative syndrome with a heterogeneous clinical presentation due to variable involvement of the left, right, dorsal and ventral...
Posterior cortical atrophy is a neurodegenerative syndrome with a heterogeneous clinical presentation due to variable involvement of the left, right, dorsal and ventral parts of the visual system, as well as inconsistent involvement of other cognitive domains and systems. F-fluorodeoxyglucose (FDG)-PET is a sensitive marker for regional brain damage or dysfunction, capable of capturing the pattern of neurodegeneration at the single-participant level. We aimed to leverage these inter-individual differences on FDG-PET imaging to better understand the associations of heterogeneity of posterior cortical atrophy. We identified 91 posterior cortical atrophy participants with FDG-PET data and abstracted demographic, neurologic, neuropsychological and Alzheimer's disease biomarker data. The mean age at reported symptom onset was 59.3 (range: 45-72 years old), with an average disease duration of 4.2 years prior to FDG-PET scan, and a mean education of 15.0 years. Females were more common than males at 1.6:1. After standard preprocessing steps, the FDG-PET scans for the cohort were entered into an unsupervised machine learning algorithm which first creates a high-dimensional space of inter-individual covariance before performing an eigen-decomposition to arrive at a low-dimensional representation. Participant values ('eigenbrains' or latent vectors which represent principle axes of inter-individual variation) were then compared to the clinical and biomarker data. Eight eigenbrains explained over 50% of the inter-individual differences in FDG-PET uptake with left (eigenbrain 1) and right (eigenbrain 2) hemispheric lateralization representing 24% of the variance. Furthermore, eigenbrain-loads mapped onto clinical and neuropsychological data (i.e. aphasia, apraxia and global cognition were associated with the left hemispheric eigenbrain 1 and environmental agnosia and apperceptive prosopagnosia were associated with the right hemispheric eigenbrain 2), suggesting that they captured important axes of normal and abnormal brain function. We used to characterize the eigenbrains through topic-based decoding, which supported the idea that the eigenbrains map onto a diverse set of cognitive functions. These eigenbrains captured important biological and pathophysiologic data (i.e. limbic predominant eigenbrain 4 patterns being associated with older age of onset compared to frontoparietal eigenbrain 7 patterns being associated with younger age of onset), suggesting that approaches that focus on inter-individual differences may be important to better understand the variability observed within a neurodegenerative syndrome like posterior cortical atrophy.
PubMed: 34805993
DOI: 10.1093/braincomms/fcab182 -
Brain Imaging and Behavior Jun 2022Simultanagnosia is a common symptom of posterior cortical atrophy, and its association with brain structural and functional changes remains unclear. In our study, 18...
Simultanagnosia is a common symptom of posterior cortical atrophy, and its association with brain structural and functional changes remains unclear. In our study, 18 posterior cortical atrophy patients with simultanagnosia, 29 patients with Alzheimer's disease and 20 cognitively normal controls were recruited and subjected to full neuropsychological evaluation, including simultanagnosia tests, and structural and resting-state functional MRI. The gray matter volume was assessed by voxel-based morphometry, while the intrinsic functional connectivity was evaluated using the reduced gray matter volume regions of interest as the seed. In contrast to the patients with Alzheimer's disease, those with posterior cortical atrophy showed the following: (1) markedly lower simultanagnosia test scores, (2) an altered regional gray matter volume of the left middle occipital gyrus and ventral occipital areas, and (3) lowered intrinsic functional connectivity with the left middle occipital gyrus, left lingual gyrus and right middle occipital gyrus separately. Additionally, the gray matter volume of the left middle occipital gyrus and left inferior occipital gyrus were each correlated with simultanagnosia in posterior cortical atrophy patients. The intrinsic functional connectivity of the left middle occipital gyrus with the right superior occipital gyrus and that of the right middle occipital gyrus with the left superior parietal gyrus were also correlated with simultanagnosia in posterior cortical atrophy patients. In summary, this study indicated that simultanagnosia is associated with gray matter reductions and decreased functional connectivity in the left middle occipital gyrus and the left inferior occipital gyrus in patients with posterior cortical atrophy.
Topics: Alzheimer Disease; Atrophy; Brain; Brain Mapping; Gray Matter; Humans; Magnetic Resonance Imaging
PubMed: 34787788
DOI: 10.1007/s11682-021-00568-8 -
Neuropsychologia Dec 2021Numerous neurological, developmental, and psychiatric conditions demonstrate impaired face recognition, which can be socially debilitating. These impairments can be...
Numerous neurological, developmental, and psychiatric conditions demonstrate impaired face recognition, which can be socially debilitating. These impairments can be caused by either deficient face perception or face memory mechanisms. Though there are well-validated, sensitive measures of face memory impairments, it currently remains unclear which assessments best measure face perception impairments. A sensitive, validated face perception measure could help with diagnosing causes of face recognition deficits and be useful in characterizing individual differences in unimpaired populations. Here, we compared the computerized Benton Face Recognition Test (BFRT-c) and Cambridge Face Perception Test (CFPT) in their ability to differentiate developmental prosopagnosics (DPs, N = 30) and age-matched controls (N = 30). Participants completed the BFRT-c, CFPT, and two additional face perception assessments: the University of Southern California Face Perception Test (USCFPT) and a novel same/different face matching test (SDFMT). Participants were also evaluated on objective and subjective face recognition tasks including the Cambridge Face Memory Test, famous faces test, and Prosopagnosia Index-20. We performed a logistic regression with the perception tests predicting DP vs. control group membership and used multiple linear regressions to predict continuous objective and subjective face recognition memory. Our results show that the BFRT-c performed as well as, if not better than, the CFPT, and that both tests clearly outperformed the USCFPT and SDFMT. Further, exploratory analyses revealed that face lighting-change conditions better predicted DP group membership and face recognition abilities than viewpoint-change conditions. Together, these results support the combined use of the BFRT-c and CFPT to best assess face perception impairments.
Topics: Facial Recognition; Head; Humans; Memory Disorders; Pattern Recognition, Visual; Prosopagnosia; Recognition, Psychology
PubMed: 34673046
DOI: 10.1016/j.neuropsychologia.2021.108067 -
Medicina 2021Proposapnosia is a type of visual agnosia characterized by the inability to recognize people's faces. There are basically two variants, apperceptive and associative. The...
Proposapnosia is a type of visual agnosia characterized by the inability to recognize people's faces. There are basically two variants, apperceptive and associative. The "Tortoni effect" is a phenomenon described by Bekinschtein et al a few years ago in waiters from Buenos Aires, who used this tool to remember the orders of each member of a table. We present a case of prosopagnosia associated with bilateral temporo-occipital injury secondary to head trauma, initially manifested by the lack of face recognition with the use of an associative strategy similar to that described in the "Tortoni effect" as compensation, in a 62-year-old female who suffered a severe head injury. A few months after this event, the patient had difficulty in recognizing familiar people, a fact evidenced by her relatives when at a restaurant table, they changed their seats, remained silent momentarily, and right after the patient kept naming them by their previous location. The magnetic resonance imaging of the brain revealed blunt sequelae lesions in the bilateral temporo-occipital region. Acquired prosopagnosia due to focal lesions in the temporo-occipital region, generally bilateral and right, and less frequently left, is a rare condition. The strategy used in the "Tortoni effect" was one of the initial manifestations of the condition in our patient. Carrying out an ecological neuropsychological test that considers this strategy could be useful in the screening and early detection of this entity.
Topics: Brain; Female; Humans; Magnetic Resonance Imaging; Middle Aged; Neuropsychological Tests; Prosopagnosia
PubMed: 34633963
DOI: No ID Found -
Frontiers in Neurology 2021Consensus criteria on corticobasal degeneration (CBD) include alien limb (AL) phenomena. However, the gist of the behavioral features of AL is still "a matter of... (Review)
Review
Consensus criteria on corticobasal degeneration (CBD) include alien limb (AL) phenomena. However, the gist of the behavioral features of AL is still "a matter of debate." CBD-related AL has so far included the description of involuntary movements, frontal release phenomena (frontal AL), or asomatognosia (posterior or "real" AL). In this context, the most frequent symptoms are language and praxis deficits and cortical sensory misperception. However, asomatognosia requires, by definition, intact perception and cognition. Thus, to make a proper diagnosis of AL in the context of CBD, cognitive and language dysfunctions must be carefully verified and objectively assessed. We reviewed the current literature on AL in CBD and now propose that the generic use of the term AL should be avoided. This catchall AL term should instead be deconstructed. We propose that the term AL is appropriate to describe clinical features associated with specific brain lesions. More discrete sets of regionally bound clinical signs that depend on dysfunctions of specific brain areas need to be assessed and presented when posing the diagnosis. Thus, in our opinion, the AL term should be employed in association with precise descriptions of the accompanying involuntary movements, sensory misperceptions, agnosia-asomatognosia contents, and the presence of utilization behavior. The review also offers an overview of functional magnetic resonance imaging-based studies evaluating AL-related phenomena. In addition, we provide a complementary set of video clips depicting CBD-related involuntary movements that should not mistakenly be interpreted as signs of AL.
PubMed: 34566830
DOI: 10.3389/fneur.2021.661130 -
Neurology India 2021Reflected image processing is a unique brain function and its abnormalities result in problems of localizing, recognizing the images, and utilizing this information in...
BACKGROUND
Reflected image processing is a unique brain function and its abnormalities result in problems of localizing, recognizing the images, and utilizing this information in everyday life.
OBJECTIVES
The aim of this study was to characterize clinical and neuropsychological profiles and to identify the probable neural substrate for this phenomenon in major cognitive disorder.
MATERIALS AND METHODS
We conducted a prospective study from February 2015 to May 2017 in patients with Major Cognitive Disorder (MCD, DSM-5 criteria). All patients were tested for problems in reflected image processing using the detailed protocol after ethical approval of the institute and consent. They also underwent a detailed neuropsychological evaluation, biochemical tests and neuroimaging (structural, diffusion, and resting-state functional MRI) as per established protocol.
RESULTS
Of the 18 patients, 11 had mirror agnosia (MA), 5 had mirror image agnosia (MIA) and 2 had both. MRI of MA patients showed parietal atrophy and whereas diffuse pattern of atrophy was seen with MIA. In the MA group, the left superior longitudinal fasciculus showed significantly greater fractional anisotropy and the left angular gyrus showed increased functional connectivity with left anterior cingulate, left dorsolateral prefrontal and bilateral posterior cingulate regions.
CONCLUSION
Mirror image processing defects were not related to the type of MCD, severity or pattern of neuropsychological dysfunction. There are structural and functional alterations in localized regions as well as both hemispheres. Therefore, it is more likely to be a network disorder, irrespective of the MCD type or severity.
Topics: Agnosia; Humans; Magnetic Resonance Imaging; Neuropsychological Tests; Prospective Studies; White Matter
PubMed: 34507415
DOI: 10.4103/0028-3886.325339 -
Neurology Nov 2021
Topics: Agnosia; Alzheimer Disease; Auditory Perception; Humans
PubMed: 34504027
DOI: 10.1212/WNL.0000000000012783 -
Neuropsychologia Oct 2021Object and scene recognition both require mapping of incoming sensory information to existing conceptual knowledge about the world. A notable finding in brain-damaged...
Object and scene recognition both require mapping of incoming sensory information to existing conceptual knowledge about the world. A notable finding in brain-damaged patients is that they may show differentially impaired performance for specific categories, such as for "living exemplars". While numerous patients with category-specific impairments have been reported, the explanations for these deficits remain controversial. In the current study, we investigate the ability of a brain injured patient with a well-established category-specific impairment of semantic memory to perform two categorization experiments: 'natural' vs. 'manmade' scenes (experiment 1) and objects (experiment 2). Our findings show that the pattern of categorical impairment does not respect the natural versus manmade distinction. This suggests that the impairments may be better explained by differences in visual features, rather than by category membership. Using Deep Convolutional Neural Networks (DCNNs) as 'artificial animal models' we further explored this idea. Results indicated that DCNNs with 'lesions' in higher order layers showed similar response patterns, with decreased relative performance for manmade scenes (experiment 1) and natural objects (experiment 2), even though they have no semantic category knowledge, apart from a mapping between pictures and labels. Collectively, these results suggest that the direction of category-effects to a large extent depends, at least in MS' case, on the degree of perceptual differentiation called for, and not semantic knowledge.
Topics: Agnosia; Animals; Brain; Brain Injuries; Humans; Knowledge; Pattern Recognition, Visual; Semantics
PubMed: 34487736
DOI: 10.1016/j.neuropsychologia.2021.108017