Role of Parental Anxiety on Pediatric Feeding Disorders

The proposed study examined the relationship between parental anxiety, measured both subjectively (via self-report questionnaires) and objectively (via salivary cortisol) and the child's feeding progress. Children diagnosed with a feeding disorder were recruited with their parents at Our Children's House at Baylor (n=19; 11 females, 8 males). The patients and their parents were housed in the clinic for an eight-week intensive multidisciplinary pediatric feeding disorder treatment program. Calorie intake was recorded daily as outcome measures of treatment progression. Parental anxiety was measured by the Pediatric Inventory for Parents (PIP), state anxiety on the State Trait Anxiety Inventory (STAI), and by salivary cortisol at three different time points. The present study attempted to examine whether parental feeding (phase three of treatment program) would continue to cause a decrease in the child's caloric intake. In averaging ten meals prior to parental feeding in comparison to the average of ten meals following parental feeding, there was no significant difference as measured by a t-test. Paired t-tests examined parental anxiety from time one to time two and found that salivary cortisol increased significantly t(15) = -6.07, p = .000 from Time 1 (M = 2.30, SD = 1.64) to Time 2 (M = 5.24, SD = 2.58). This demonstrated that while parental anxiety increased as measured by salivary cortisol, the children continued to make improvements. This may be the result of the multidisciplinary feeding program which encompassed a strong behavioral component and parent training. Even though the current results did not demonstrate a direct relationship between parental stress and caloric intake, parental stress as measured by salivary cortisol did increase

Parental Influence on Pediatric Feeding Disorders

The purpose of this study was to investigate parental influence on treatment progression in children with feeding disorders. Children diagnosed with a feeding disorder were recruited with their parents at the Children's House at Baylor (N=22; 11 boys, 11 girls). Caloric intake was recorded daily as outcome measures of treatment progression. It was hypothesized that the initial parental participation would delay the child's progress as measured by caloric intake. Patient's average caloric intake (measured in grams) for 3 days prior to parents entering the room was compared to the average caloric intake measured for 3 days after the parents entered the room. A paired t-test was performed on the averaged caloric intake three days pre and post-parental presence, yielding significant results: t(21) = 3.17, p = .005. Caloric intake was greater prior to parent involvement (M = 811.17) as compared to after the parent entered the room (M = 704.88)

White matter changes and confrontation naming in retired aging national football league athletes

Using diffusion tensor imaging (DTI), we assessed the relationship of white matter integrity and performance on the Boston Naming Test (BNT) in a group of retired professional football players and a control group. We examined correlations between fractional anisotropy (FA) and mean diffusivity (MD) with BNT T-scores in an unbiased voxelwise analysis processed with tract-based spatial statistics (TBSS). We also analyzed the DTI data by grouping voxels together as white matter tracts and testing each tract's association with BNT T-scores. Significant voxelwise correlations between FA and BNT performance were only seen in the retired football players (p < 0.02). Two tracts had mean FA values that significantly correlated with BNT performance: forceps minor and forceps major. White matter integrity is important for distributed cognitive processes, and disruption correlates with diminished performance in athletes exposed to concussive and subconcussive brain injuries, but not in controls without such exposure

Modular Brain Network Organization Predicts Response to Cognitive Training in Older Adults.

Cognitive training interventions are a promising approach to mitigate cognitive deficits common in aging and, ultimately, to improve functioning in older adults. Baseline neural factors, such as properties of brain networks, may predict training outcomes and can be used to improve the effectiveness of interventions. Here, we investigated the relationship between baseline brain network modularity, a measure of the segregation of brain sub-networks, and training-related gains in cognition in older adults. We found that older adults with more segregated brain sub-networks (i.e., more modular networks) at baseline exhibited greater training improvements in the ability to synthesize complex information. Further, the relationship between modularity and training-related gains was more pronounced in sub-networks mediating "associative" functions compared with those involved in sensory-motor processing. These results suggest that assessments of brain networks can be used as a biomarker to guide the implementation of cognitive interventions and improve outcomes across individuals. More broadly, these findings also suggest that properties of brain networks may capture individual differences in learning and neuroplasticity. Trail Registration: ClinicalTrials.gov, NCT#00977418

Clinical and neuropsychological profile of patients with dementia and chronic traumatic encephalopathy.

OBJECTIVE: To determine whether subjects with chronic traumatic encephalopathy (CTE) and dementia have distinct clinical features compared to subjects with pathologically confirmed Alzheimer\u27s disease (AD). METHODS: Among 339 subjects assessed for CTE in the National Alzheimer\u27s Coordinating Center dataset, 6 subjects with CTE and 25 subjects with AD neuropathologic change matched for age (±5 years) and sex were identified. All subjects had a clinical diagnosis of dementia. Neurological examination, neuropsychological testing and emotional/behavioural data were compared between CTE and AD subjects at the time of dementia diagnosis and last clinical visit near death. RESULTS: A history of traumatic brain injury with loss of consciousness (LOC) was reported in one CTE and one AD subject; information about injuries without LOC or multiple injuries was unavailable. CTE and AD subjects did not differ significantly at the time of diagnosis or last visit on the Unified Parkinson\u27s Disease Rating Scale-Motor Exam, global measures of cognitive functioning (Mini-Mental State Exam and Clinical Dementia Rating Scale), emotional/behaviour symptoms as assessed with the Neuropsychiatric Inventory questionnaire or across neuropsychological measures. All CTE participants had co-occurring neuropathologic processes, including AD and most had TAR DNA-binding protein 43 (TDP-43) neuropathology. CONCLUSIONS: CTE pathology was rare in a large multicentre national dataset, and when present, was accompanied by AD and TDP-43 pathologies. CTE was not associated with a different clinical presentation from AD or with greater cognitive impairment or neurobehavioral symptoms. These findings suggest that CTE may not have a distinct clinical profile when other neuropathologic processes are coexistent with CTE pathology

Modular Brain Network Organization Predicts Response to Cognitive Training in Older Adults.

Cognitive training interventions are a promising approach to mitigate cognitive deficits common in aging and, ultimately, to improve functioning in older adults. Baseline neural factors, such as properties of brain networks, may predict training outcomes and can be used to improve the effectiveness of interventions. Here, we investigated the relationship between baseline brain network modularity, a measure of the segregation of brain sub-networks, and training-related gains in cognition in older adults. We found that older adults with more segregated brain sub-networks (i.e., more modular networks) at baseline exhibited greater training improvements in the ability to synthesize complex information. Further, the relationship between modularity and training-related gains was more pronounced in sub-networks mediating "associative" functions compared with those involved in sensory-motor processing. These results suggest that assessments of brain networks can be used as a biomarker to guide the implementation of cognitive interventions and improve outcomes across individuals. More broadly, these findings also suggest that properties of brain networks may capture individual differences in learning and neuroplasticity. Trail Registration: ClinicalTrials.gov, NCT#00977418