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Progress in Neurobiology Nov 2023Neural networks are successfully used to imitate and model cognitive processes. However, to provide clues about the neurobiological mechanisms enabling human cognition,... (Review)
Review
Neural networks are successfully used to imitate and model cognitive processes. However, to provide clues about the neurobiological mechanisms enabling human cognition, these models need to mimic the structure and function of real brains. Brain-constrained networks differ from classic neural networks by implementing brain similarities at different scales, ranging from the micro- and mesoscopic levels of neuronal function, local neuronal links and circuit interaction to large-scale anatomical structure and between-area connectivity. This review shows how brain-constrained neural networks can be applied to study in silico the formation of mechanisms for symbol and concept processing and to work towards neurobiological explanations of specifically human cognitive abilities. These include verbal working memory and learning of large vocabularies of symbols, semantic binding carried by specific areas of cortex, attention focusing and modulation driven by symbol type, and the acquisition of concrete and abstract concepts partly influenced by symbols. Neuronal assembly activity in the networks is analyzed to deliver putative mechanistic correlates of higher cognitive processes and to develop candidate explanations founded in established neurobiological principles.
Topics: Humans; Brain; Language; Learning; Neural Networks, Computer; Memory, Short-Term
PubMed: 37482195
DOI: 10.1016/j.pneurobio.2023.102511 -
Cognition Nov 2023When people use rule-based integration of abstracted cues to make multiple-cue judgments they tend to default to linear additive integration of the cues, which may...
When people use rule-based integration of abstracted cues to make multiple-cue judgments they tend to default to linear additive integration of the cues, which may interfere with efficient learning in non-additive tasks. We hypothesize that this effect becomes especially pronounced when cues are presented numerically rather than verbally, because numbers elicit expectations about a task with a simple numerical solution that can be appropriately addressed by linear and additive integration. This predicts that, relative to a verbal format, a numerical format should be advantageous for learning in additive tasks, but detrimental for learning in non-additive tasks. In two experiments, we find support for the hypothesis that a verbal format can improve learning in non-additive tasks. The division-of-labor between cognitive processes observed in previous research (Juslin et al., 2008), with cue abstraction in additive tasks and exemplar memory in non-additive tasks, was only present in conditions with numeric information and may therefore in part be driven by the use of numeric formats. This illustrates how surface characteristic of stimuli can elicit different priors about the nature of the variables and the generative model that produced the cues and the criterion. We fitted cue-abstraction and exemplar algorithms by PNP-modeling (Sundh et al., 2021). At the end of training both cue abstraction and exemplar memory processes primarily involved exact analytic processes marred by occasional error, rather than the noisy and approximate intuitive processes typically assumed in previous studies - specifically, cue abstraction was primarily implemented by number crunching and exemplar memory by rote memorization.
Topics: Humans; Cues; Learning; Memory; Concept Formation; Algorithms
PubMed: 37657396
DOI: 10.1016/j.cognition.2023.105584 -
Cancers Sep 2023About one-in-three breast cancer survivors have lingering cognitive complaints and objective cognitive impairment. Chronic inflammation and intestinal permeability...
About one-in-three breast cancer survivors have lingering cognitive complaints and objective cognitive impairment. Chronic inflammation and intestinal permeability (i.e., leaky gut), two risk factors for cognitive decline, can also fuel depression-another vulnerability for cognitive decline. The current study tested whether depression accompanied by high levels of inflammation or intestinal permeability predicted lower subjective and objective cognitive function in breast cancer survivors. We combined data from four breast cancer survivor studies ( = 613); some had repeated measurements for a total of 1015 study visits. All participants had a blood draw to obtain baseline measures of lipopolysaccharide binding protein-a measure of intestinal permeability, as well as three inflammatory markers that were incorporated into an inflammatory index: C-reactive protein, interleukin-6, and tumor necrosis factor-α. They reported depressive symptoms on the Center for Epidemiological Studies depression scale (CES-D), and a binary variable indicated clinically significant depressive symptoms (CES-D ≥ 16). The Kohli (749 observations) and the Breast Cancer Prevention Trial (591 observations) scales assessed subjective cognitive function. Objective cognitive function tests included the trail-making test, Hopkins verbal learning test, Conners continuous performance test, n-back test, FAS test, and animal-naming test (239-246 observations). Adjusting for education, age, BMI, cancer treatment type, time since treatment, study visit, and fatigue, women who had clinically elevated depressive symptoms accompanied by heightened inflammation or intestinal permeability reported poorer focus and marginally poorer memory. However, poorer performance across objective cognitive measures was not specific to inflammation-associated depression. Rather, there was some evidence of lower verbal fluency; poorer attention, verbal learning and memory, and working memory; and difficulties with visuospatial search among depressed survivors, regardless of inflammation. By themselves, inflammation and intestinal permeability less consistently predicted subjective or objective cognitive function. Breast cancer survivors with clinically significant depressive symptoms accompanied by either elevated inflammation or intestinal permeability may perceive greater cognitive difficulty, even though depression-related objective cognitive deficits may not be specific to inflammation- or leaky-gut-associated depression.
PubMed: 37686689
DOI: 10.3390/cancers15174414 -
BMC Medical Education Sep 2023This study aimed to compare two methods of feedback: verbal face-to-face feedback after direct observation (F2F-feedback) versus electronic-written feedback after...
OBJECTIVE
This study aimed to compare two methods of feedback: verbal face-to-face feedback after direct observation (F2F-feedback) versus electronic-written feedback after observation of recorded-VDO of student's performance (VDO-feedback), in terms of effectiveness in improving skill, effects on motivation and satisfaction.
BACKGROUND
Medical schools are responsible for teaching and ensuring proficiency of basic surgical skills. Feedback is effective in developing psychomotor skills; by providing information of learner's current performance, how to improve, and enhancing motivation.
MATERIALS AND METHOD
Fifty-eight medical students (3- 4 year) were trained to perform vertical mattress suture in small groups. Then, during 6-week period of self-directed practice, students were randomized into group1 VDO-feedback (male:female = 21:8) and group 2 F2F-feedback (male:female = 20:9). Feedbacks were provided once every 2 weeks (Week2, Week4). End-of-rotation OSCE was at Week6, and retention tested was at Week8. Performance checklist (Cronbach's Alpha 0.72) was used to assess skill at 4 timepoints; pre- and post- small group learning, OSCE, and retention phase. Questionnaire was used to assess motivation, learning strategies and satisfaction (Cronbach's Alpha 0.83).
RESULT
After in-class learning, further significant improvement of skills could be gained by both F2F- and VDO- feedbacks (p < 0.0001). Both could similarly retain skill for at least 4 weeks later without additional practice. Self-efficacy, test anxiety, and cognitive strategies scores were significantly increased in both groups (p < 0.05). Extrinsic motivation was increased in VDO-feedback group. No difference in satisfaction between groups was observed.
DISCUSSION AND CONCLUSION
VDO-feedback could be alternative to F2F-feedbacks for basic surgical skill training when limitation for simultaneous meeting of teacher and students occurs.
TRIAL REGISTRATION
This study has been registered to Thai Clinical Trial Registry (WHO International Clinical Trial Registry Platform) on 11/07/2023 (TCTR20230711005).
Topics: Female; Male; Humans; Feedback; Learning; Neurosurgical Procedures; Students; Checklist
PubMed: 37697379
DOI: 10.1186/s12909-023-04635-0 -
Experimental Brain Research Apr 2024Psychomotor slowing has consistently been observed in schizophrenia, however research on motor learning in schizophrenia is limited. Additionally, motor learning in...
Psychomotor slowing has consistently been observed in schizophrenia, however research on motor learning in schizophrenia is limited. Additionally, motor learning in schizophrenia has never been compared with the waning of motor learning abilities in the elderly. Therefore, in an extensive study, 30 individuals with schizophrenia, 30 healthy age-matched controls and 30 elderly participants were compared on sensorimotor learning tasks including sequence learning and adaptation (both explicit and implicit), as well as tracking and aiming. This paper presents new findings on an explicit motor sequence learning task, an explicit verbal learning task and a simple aiming task and summarizes all previously published findings of this large investigation. Individuals with schizophrenia and elderly had slower Movement Time (MT)s compared with controls in all tasks, however both groups improved over time. Elderly participants learned slower on tracking and explicit sequence learning while individuals with schizophrenia adapted slower and to a lesser extent to movement perturbations in adaptation tasks and performed less well on cognitive tests including the verbal learning task. Results suggest that motor slowing is present in schizophrenia and the elderly, however both groups show significant but different motor skill learning. Cognitive deficits seem to interfere with motor learning and performance in schizophrenia while task complexity and decreased movement precision interferes with motor learning in the elderly, reflecting different underlying patterns of decline in these conditions. In addition, evidence for motor slowing together with impaired implicit adaptation supports the influence of cerebellum and the cerebello-thalamo-cortical-cerebellar (CTCC) circuits in schizophrenia, important for further understanding the pathophysiology of the disorder.
Topics: Humans; Aged; Psychomotor Performance; Schizophrenia; Learning; Aging; Verbal Learning
PubMed: 38459999
DOI: 10.1007/s00221-024-06797-9 -
Translational Psychiatry Jun 2024People living with HIV and those diagnosed with alcohol use disorders (AUD) relative to healthy individuals commonly have low levels of serum albumin, substantiated as...
People living with HIV and those diagnosed with alcohol use disorders (AUD) relative to healthy individuals commonly have low levels of serum albumin, substantiated as an independent predictor of cardiovascular events. White matter hyperintensities (WMH)-a neuroimaging feature of cerebral small vessel disease-are also related to cardiovascular disease. Despite consensus regarding associations between high levels of urine albumin and WMH prevalence, and low serum albumin levels and impaired cognitive functioning, relations between serum albumin and WMH burdens have rarely been evaluated. Here, a sample including 160 individuals with AUD, 142 living with HIV, and 102 healthy controls was used to test the hypothesis that serum albumin would be inversely related to WMH volumes and directly related to cognitive performance in the two diagnostic groups. Although serum albumin and periventricular WMH volumes showed an inverse relationship in both AUD and HIV groups, this relationship persisted only in the HIV group after consideration of traditional cardiovascular (i.e., age, sex, body mass index (BMI), nicotine use, hypertension, diabetes), study-relevant (i.e., race, socioeconomic status, hepatitis C virus status), and disease-specific (i.e., CD4 nadir, HIV viral load, HIV duration) factors. Further, serum albumin contributed more significantly than periventricular WMH volume to variance in performance on a verbal learning and memory composite score in the HIV group only. Relations in both HIV and AUD groups between albumin and hematological red blood cell markers (e.g., hemoglobin, hematocrit) suggest that in this sample, serum albumin reflects hematological abnormalities. Albumin, a simple serum biomarker available in most clinical settings, may therefore help identify periventricular WMH burden and performance levels in specific cognitive domains in people living with HIV. Whether serum albumin contributes mechanistically to periventricular WMH in HIV will require additional investigation.
Topics: Humans; Female; Male; Middle Aged; White Matter; Magnetic Resonance Imaging; HIV Infections; Serum Albumin; Alcoholism; Adult; Cognitive Dysfunction
PubMed: 38824150
DOI: 10.1038/s41398-024-02953-5 -
JAMA Network Open Aug 2023Understanding how socioeconomic factors are associated with cognitive aging is important for addressing health disparities in Alzheimer disease.
IMPORTANCE
Understanding how socioeconomic factors are associated with cognitive aging is important for addressing health disparities in Alzheimer disease.
OBJECTIVE
To examine the association of neighborhood disadvantage with cognition among a multiethnic cohort of older adults.
DESIGN, SETTING, AND PARTICIPANTS
In this cross-sectional study, data were collected between September 1, 2017, and May 31, 2022. Participants were from the Health and Aging Brain Study-Health Disparities, which is a community-based single-center study in the Dallas/Fort Worth area of Texas. A total of 1614 Mexican American and non-Hispanic White adults 50 years and older were included.
EXPOSURE
Neighborhood disadvantage for participants' current residence was measured by the validated Area Deprivation Index (ADI); ADI Texas state deciles were converted to quintiles, with quintile 1 representing the least disadvantaged area and quintile 5 the most disadvantaged area. Covariates included age, sex, and educational level.
MAIN OUTCOMES AND MEASURES
Performance on cognitive tests assessing memory, language, attention, processing speed, and executive functioning; measures included the Spanish-English Verbal Learning Test (SEVLT) Learning and Delayed Recall subscales; Wechsler Memory Scale, third edition (WMS-III) Digit Span Forward, Digit Span Backward, and Logical Memory 1 and 2 subscales; Trail Making Test (TMT) parts A and B; Digit Symbol Substitution Test (DSST); Letter Fluency; and Animal Naming. Raw scores were used for analyses. Associations between neighborhood disadvantage and neuropsychological performance were examined via demographically adjusted linear regression models stratified by ethnic group.
RESULTS
Among 1614 older adults (mean [SD] age, 66.3 [8.7] years; 980 women [60.7%]), 853 were Mexican American (mean [SD] age, 63.9 [7.9] years; 566 women [66.4%]), and 761 were non-Hispanic White (mean [SD] age, 69.1 [8.7] years; 414 women [54.4%]). Older Mexican American adults were more likely to reside in the most disadvantaged areas (ADI quintiles 3-5), with 280 individuals (32.8%) living in ADI quintile 5, whereas a large proportion of older non-Hispanic White adults resided in ADI quintile 1 (296 individuals [38.9%]). Mexican American individuals living in more disadvantaged areas had worse performance than those living in ADI quintile 1 on 7 of 11 cognitive tests, including SEVLT Learning (ADI quintile 5: β = -2.50; 95% CI, -4.46 to -0.54), SEVLT Delayed Recall (eg, ADI quintile 3: β = -1.11; 95% CI, -1.97 to -0.24), WMS-III Digit Span Forward (eg, ADI quintile 4: β = -1.14; 95% CI, -1.60 to -0.67), TMT part A (ADI quintile 5: β = 7.85; 95% CI, 1.28-14.42), TMT part B (eg, ADI quintile 5: β = 31.5; 95% CI, 12.16-51.35), Letter Fluency (ADI quintile 4: β = -2.91; 95% CI, -5.39 to -0.43), and DSST (eg, ADI quintile 5: β = -4.45; 95% CI, -6.77 to -2.14). In contrast, only non-Hispanic White individuals living in ADI quintile 4 had worse performance than those living in ADI quintile 1 on 4 of 11 cognitive tests, including SEVLT Learning (β = -2.35; 95% CI, -4.40 to -0.30), SEVLT Delayed Recall (β = -0.95; 95% CI, -1.73 to -0.17), TMT part B (β = 15.95; 95% CI, 2.47-29.44), and DSST (β = -3.96; 95% CI, -6.49 to -1.43).
CONCLUSIONS AND RELEVANCE
In this cross-sectional study, aging in a disadvantaged area was associated with worse cognitive functioning, particularly for older Mexican American adults. Future studies examining the implications of exposure to neighborhood disadvantage across the life span will be important for improving cognitive outcomes in diverse populations.
Topics: Female; Humans; Cognition; Cross-Sectional Studies; Executive Function; Mexican Americans; White; Male; Middle Aged; Aged; Neighborhood Characteristics; United States
PubMed: 37647071
DOI: 10.1001/jamanetworkopen.2023.25325 -
Adicciones Mar 2024Brain damage related to alcohol consumption is associated with impairments in cognitive functions, among which memory and verbal learning stand out. The main objective...
Brain damage related to alcohol consumption is associated with impairments in cognitive functions, among which memory and verbal learning stand out. The main objective is to evaluate memory and verbal learning in a sample of 111 patients with alcohol use disorder (AUD) versus 78 with major depressive disorder (MDD) and 100 healthy controls. The evaluation included sociodemographic and clinical variables, the Hamilton Depression Scale (HDRS) and the California Verbal Learning Test (CVLT). One-way ANOVA was used for comparisons between the 3 groups and two-way ANCOVAS including different covariates. The one-way ANOVA shows that patients with AUD and MDD had scores similar to each other and lower than those of the control group (p < 0.001), with the exception of the Cued CVLT (worse scores in MDD vs AUD, p < 0.001). After including age, sex and years of completed studies as covariates, the differences between the AUD and MDD groups persisted compared to the control group (p ≤ 0.003) in all indices except for the Immediate Free CVLT and the Cued CVLT (worse performance in MDD vs AUD, p = 0.022 and p = 0.035, respectively). In the second ANCOVA, after controlling for depression severity, differences were only detected between AUD patients and healthy controls (p ≤ 0.007). Patients with AUD present a significant impairment in learning and verbal memory when compared with patients with MDD and with healthy people.
Topics: Humans; Depressive Disorder, Major; Alcoholism; Alcohol Drinking; Verbal Learning
PubMed: 34882245
DOI: 10.20882/adicciones.1696 -
Psychological Medicine Aug 2023The cognitive profile in 22q11.2 deletion syndrome (22q11.2DS) is often characterized by a discrepancy between nonverbal verbal reasoning skills, in favor of the latter...
BACKGROUND
The cognitive profile in 22q11.2 deletion syndrome (22q11.2DS) is often characterized by a discrepancy between nonverbal verbal reasoning skills, in favor of the latter skills. This dissociation has also been observed in memory, with verbal learning skills described as a relative strength. Yet the development of these skills is still to be investigated. We thus aimed to explore verbal learning longitudinally. Furthermore, we explored verbal learning and its respective associations with hippocampal alterations and psychosis, which remain largely unknown despite their high prevalence in 22q11.2DS.
METHODS
In total, 332 individuals (173 with 22q11.2DS) aged 5-30 years completed a verbal-paired associates task. Mixed-models regression analyses were conducted to explore developmental trajectories with threefold objectives. First, verbal learning and retention trajectories were compared between 22q11.2DS HC. Second, we examined hippocampal volume development in 22q11.2DS participants with lower higher verbal learning performance. Third, we explored verbal learning trajectories in 22q11.2DS participants with without positive psychotic symptoms and with without a psychotic spectrum disorder (PSD).
RESULTS
Our findings first reveal lower verbal learning performance in 22q11.2DS, with a developmental plateau emerging from adolescence. Second, participants with lower verbal learning scores displayed a reduced left hippocampal tail volume. Third, participants with PSD showed a deterioration of verbal learning performance, independently of verbal reasoning skills.
CONCLUSION
Our study challenges the current view of preserved verbal learning skills in 22q11.2DS and highlights associations with specific hippocampal alterations. We further identify verbal learning as a novel cognitive marker for psychosis in 22q11.2DS.
Topics: Adolescent; Humans; DiGeorge Syndrome; Psychotic Disorders; Learning; Verbal Learning; Hippocampus
PubMed: 35775360
DOI: 10.1017/S0033291722001842 -
Frontiers in Neuroscience 2023Although the link between sleep and memory function is well established, associations between sleep macrostructure and memory function in normal cognition and Mild...
INTRODUCTION
Although the link between sleep and memory function is well established, associations between sleep macrostructure and memory function in normal cognition and Mild Cognitive Impairment remain unclear. We aimed to investigate the longitudinal associations of baseline objectively assessed sleep quality and duration, as well as time in bed, with verbal memory capacity over a 7-9 year period. Participants are a well-characterized subsample of 148 persons (mean age at baseline: 72.8 ± 6.7 years) from the Cretan Aging Cohort. Based on comprehensive neuropsychiatric and neuropsychological evaluation at baseline, participants were diagnosed with Mild Cognitive Impairment (MCI; = 79) or found to be cognitively unimpaired (CNI; = 69). Sleep quality/quantity was estimated from a 3-day consecutive actigraphy recording, whereas verbal memory capacity was examined using the Rey Auditory Verbal Learning Test (RAVLT) and the Greek Passage Memory Test at baseline and follow-up. Panel models were applied to the data using AMOS including several sociodemographic and clinical covariates.
RESULTS
Sleep efficiency at baseline predicted subsequent memory performance in the total group (immediate passage recall: β = 0.266, = 0.001; immediate word list recall: β = 0.172, = 0.01; delayed passage retrieval: β = 0.214, = 0.002) with the effects in Passage Memory reaching significance in both clinical groups. Wake after sleep onset time predicted follow-up immediate passage recall in the total sample (β = -0.211, = 0.001) and in the MCI group (β = -0.235, = 0.02). In the total sample, longer 24-h sleep duration was associated with reduced memory performance through increased sleep duration at follow-up (immediate passage recall: β = -0.045, = 0.01; passage retention index: β = -0.051, = 0.01; RAVLT-delayed recall: β = -0.048, = 0.009; RAVLT-retention index:β = -0.066, = 0.004). Similar indirect effects were found for baseline 24-h time in bed. Indirect effects of sleep duration/time in bed were found predominantly in the MCI group.
DISCUSSION
Findings corroborate and expand previous work suggesting that poor sleep quality and long sleep duration predict worse memory function in elderly. Timely interventions to improve sleep could help prevent or delay age-related memory decline among non-demented elderly.
PubMed: 37928739
DOI: 10.3389/fnins.2023.1265016