Abstract:Delineating longitudinal relationships between early developmental markers, adult cognitive function, and adult brain structure could clarify the pathogenesis of neurodevelopmental disorders such as schizophrenia. We aimed to identify brain structural correlates of infant motor development (IMD) and adult executive function in nonpsychotic adults and to test for abnormal associations between these measures in people with schizophrenia. Representative samples of nonpsychotic adults (n ؍ 93) and people with sc… Show more
“…In the Northern Finland 1966 birth cohort, those who reached key infant motor milestones earlier had better school performance at 16 years of age and educational attainment at 31 years of age (Taanila et al 2005). Earlier motor development in infancy has been found to be linked with better executive functioning and greater gray matter density and white matter volume in the adult brain (Ridler et al 2006). Another study from the Northern Finland 1966 birth cohort showed that earlier development in the cross motor domain, measured as the age of learning to stand, was associated with better executive functioning at ages 33-35 years.…”
Section: Discussionmentioning
confidence: 99%
“…In the Northern Finland, 1966 Birth Cohort study earlier infant motor development was found to be associated with better educational outcomes (Taanila et al 2005) and level of intelligence (Murray et al 2007) in adolescence and adulthood. Further, earlier motor development was found to be associated with increased gray and white matter densities and better executive function in adulthood (Ridler et al 2006). However, little is still known about the relationship between early motor development and cognitive functioning in older age.…”
Motor development and cognitive development in childhood have been found to be fundamentally interrelated, but less is known about the association extending over the life course. The aim of this study was to examine the association between early motor development and cognitive performance in early old age. From men and women belonging to the Helsinki Birth Cohort Study, who were born between 1934 and 1944 and resided in Finland in 1971, 1279 participated in cognitive performance tests (CogState®, version 3.0.5) between 2001 and 2006 at an average age of 64.2 years (SD 3.0). Of these, age at first walking extracted from child welfare clinic records was available for 398 participants. Longer reaction times in cognitive tasks measuring simple reaction time (SRT), choice reaction time (CRT), working memory (WM), divided attention (DA), and associated learning (AL) indicated poorer cognitive performance. Adjustment was made for sex, age at testing, father's occupational status and own highest attained education, and occupation in adulthood. Average age of learning to walk was 12.2 months (SD 2.1). After adjusting for covariates, earlier attainment of learning to walk was associated with shorter reaction times in cognitive performance tasks (SRT 10.32 % per month, 95 % CI 0.48-21.12, p=0.039; CRT 14.17 % per month, 95 % CI 3.75-25.63, p= 0.007; WM 15.14 % per month, 95 % CI 4.95-26.32, p=0.003). People who learned to walk earlier had better cognitive performance in early old age. The earlier attainment of motor skills may track over to early old AGE (2015)
“…In the Northern Finland 1966 birth cohort, those who reached key infant motor milestones earlier had better school performance at 16 years of age and educational attainment at 31 years of age (Taanila et al 2005). Earlier motor development in infancy has been found to be linked with better executive functioning and greater gray matter density and white matter volume in the adult brain (Ridler et al 2006). Another study from the Northern Finland 1966 birth cohort showed that earlier development in the cross motor domain, measured as the age of learning to stand, was associated with better executive functioning at ages 33-35 years.…”
Section: Discussionmentioning
confidence: 99%
“…In the Northern Finland, 1966 Birth Cohort study earlier infant motor development was found to be associated with better educational outcomes (Taanila et al 2005) and level of intelligence (Murray et al 2007) in adolescence and adulthood. Further, earlier motor development was found to be associated with increased gray and white matter densities and better executive function in adulthood (Ridler et al 2006). However, little is still known about the relationship between early motor development and cognitive functioning in older age.…”
Motor development and cognitive development in childhood have been found to be fundamentally interrelated, but less is known about the association extending over the life course. The aim of this study was to examine the association between early motor development and cognitive performance in early old age. From men and women belonging to the Helsinki Birth Cohort Study, who were born between 1934 and 1944 and resided in Finland in 1971, 1279 participated in cognitive performance tests (CogState®, version 3.0.5) between 2001 and 2006 at an average age of 64.2 years (SD 3.0). Of these, age at first walking extracted from child welfare clinic records was available for 398 participants. Longer reaction times in cognitive tasks measuring simple reaction time (SRT), choice reaction time (CRT), working memory (WM), divided attention (DA), and associated learning (AL) indicated poorer cognitive performance. Adjustment was made for sex, age at testing, father's occupational status and own highest attained education, and occupation in adulthood. Average age of learning to walk was 12.2 months (SD 2.1). After adjusting for covariates, earlier attainment of learning to walk was associated with shorter reaction times in cognitive performance tasks (SRT 10.32 % per month, 95 % CI 0.48-21.12, p=0.039; CRT 14.17 % per month, 95 % CI 3.75-25.63, p= 0.007; WM 15.14 % per month, 95 % CI 4.95-26.32, p=0.003). People who learned to walk earlier had better cognitive performance in early old age. The earlier attainment of motor skills may track over to early old AGE (2015)
“…Consistent with the existence of neural sharing is that the early infant acquisition of bipedality correlates with enhanced executive skills at the age of 33-35; moreover, half the activated voxels in the cerebellum linked to such adult executive skills also link to those that retrospectively associated with early bipedality (Ridler et al, 2006) (see also further comment in section 7.3). In this context, it should be noted that frontal activations in infants as young as 6 months accompany the maturation of motor skills such as eye saccades depend upon internal models, and, then only later in adults, shift to posterior areas when they become highly automated (Csibra et al, 2001).…”
Section: Developmental Correlation and Neural Overlapmentioning
confidence: 57%
“…If a motor task shares an attentional subprocess with an higher cognitive one (Allen et al, 1997), then it is reasonable to assume that other motor faculties will also share that attentional subprocess. Likewise, if developmentally a motor ability such as bipedality correlates not only in terms of a later competence for executive function but also in 48% of its voxels in the cerebellum (Ridler et al, 2006), it is reasonable to assume that the subprocesses responsible for this is also shared to a similar or greater extent with other motor faculties.…”
Section: Neural Resource Sharing and Nonmotor Facultiesmentioning
Human dexterity, bipedality, and song/speech vocalization in Homo are reviewed within a motor evolution perspective in regard to (i) brain expansion in cerebello-cerebral circuitry, (ii) enhanced predictive internal modeling of body kinematics, body kinetics and action organization, (iii) motor mastery due to prolonged practice, (iv) task-determined top-down, and accurately timed feedforward motor adjustment of multiple-body/artifact elements, and (v) reduction in automatic preflex/spinal reflex mechanisms that would otherwise restrict such top-down processes.Dual-task interference and developmental neuroimaging research argues that such internal modeling based motor capabilities are concomitant with the evolution of (vi) enhanced attentional, executive function and other high-level cognitive processes, and that (vii) these provide dexterity, bipedality and vocalization with effector nonspecific neural resources.The possibility is also raised that such neural resources could (viii) underlie human internal model based nonmotor cognitions.
“…Cerebellar deficits have long been implicated in the origins and evolution of schizophrenia (Andreasen, 1999), and a recent metaanalysis of voxel based morphometry studies of medication naïve psychosis patients identified the cerebellum as one of only two brain regions (the other was the insular cortex) with grey matter volume deficits in antipsychotic naïve patients (Fusar-Poli 2011c). The model developed by Andreasen and colleagues (Andreasen et al, 1998) implicates deficits in the cerebellum producing a so-called "cognitive dysmetria," which entails difficulty in prioritizing, processing, coordinating, and responding to information, and our own previous findings from a related cohort, the Northern Finland 1966 Birth Cohort, provided evidence for abnormal cerebellar neurodevelopment in schizophrenia (Ridler et al, 2006) Of particular interest is our finding that there is a trend in structural cerebellar deficits such that family risk subjects have deficits compared to controls, but not as severe Our study utilises a unique methodology for risk group definition, which presents what we believe is an approach complementary to the majority of brain structural risk for psychosis studies, which tend to be either clinic based or family risk based, as opposed to examining both risk factors within the same population base. The framework we used to study subjects at high risk of psychosis was first to examine the role of single risk factors (clinical or family risk) on brain structure, then analyzing the additive effect of both risk factors (family plus clinical risk).…”
We tested the hypothesis that family risk for psychosis (FR) and clinical risk for psychosis (CR) are associated with structural brain abnormalities, with increased deficits in those at both family risk and clinical risk for psychosis (FRCR). The study setting was the Oulu Brain and Mind Study, with subjects drawn from the Northern Finland 1986 Birth Cohort (n=9479) using register and questionnaire based screening, and interviews using the Structured Interview for Prodromal Symptoms. After this procedure, 172 subjects were included in the study, classified as controls (n=73) and three risk groups: FR excluding CR (FR, n=60), CR without FR (CR, n=26), and individuals at both FR and CR (FRCR, n=13). T1-weighted brain scans were acquired and processed in a voxel-based analysis using permutation-based statistics. In the comparison between FRCR versus controls, we found lower grey matter volume (GMV) in a cluster (1689 voxels at -4.00, -72.00,-18.00 mm) covering both cerebellar hemispheres and the vermis. This cluster was subsequently used as a mask to extract mean GMV in all four groups: FR had a volume intermediate between controls and FRCR. Within FRCR there was an association between cerebellar cluster brain volume and motor function. These findings are consistent with an evolving pattern of cerebellar deficits in psychosis risk with the most pronounced deficits in those at highest risk of psychosis.
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